Помощь проекту: https://vertdider.tv/to-support-us/

При вращении чего-нибудь вокруг своей оси возникает так называемый момент силы (он же крутящий момент) перпендикулярный направлению вращения. Благодаря этому гироскопы сохраняют устойчивость, а вы не падаете с велика. В этом видео Дерек попробует объяснить, как работает этот феномен. А вы попробуйте понять.

Спасибо за поддержку на https://www.patreon.com/VertDider.
Озвучки Vert Dider выходят с вашей помощью:

Pavel Dunaev, Nick Denizhenko, Oleksii, Yegor Barakovskiy, mrwiseguy351, Ігор Дорохов, Mikhail Stolpovskiy, Aleksandr, Maxim Syunikov, Oleg Zingilevskiy, Serega Beltser, Rashid Nasibulin, opperatius, Dina Kruchina, Alena, Vitaliy Vachynyuk, Ника Калмыкова, Nadia Kilgishova, Роман Чурин, Aiorraro, Евгений Сельменев, Alex Afalex, Anton Kudashov, Sergii Cherepanov, Владимир Кашутин, Pavel Parpura, Anton Bolotov, Yevhen, Sergei W, Kosoy, Данил Рягузов, Михаил Панькин, Anton Makiievskyi, Максим 'Sheridan' Горлов, Katoto Chan, F23D24, Alexey, Марина Малинкина, Dmitry Khlan, Галина Баринова, Yaroslav Kyrylchuk, Познающий, Ирина Анатольевна Чулкова, kotov.pr, Pavel Golovin, Stanislav K, Edward Ben Rafael, Юрий Медведев, Анна Троссман, Serj Skidan, Andrei Chitaev, L Marchenko, Sultan Ishankulov, Dim iONkinberg, Mike Sviblov, Andrey Rusanov, Inna Klymenko, Dima Chumakov, Dmitriy Lashtaba, Olesya Bolobova, Ilya Alexeevsky, Alexander Balynskiy, Максим Иванов, Ольга Канкулова, Alexander, Viktor Lova, Maria Tronina, Alexander Gorodok, Ivan Iakimov, Alexander Zimin, Евгений Миф, Виталий Пастушенко, Serj Kravchuk, Claudia Barzaeva, Pandaben, Monza UA, Lirin Alex, Pavel D, Dan Sotnikov, Konstantin Pesyakov, Denis Titusov, Viktoria, Alexandr Globov, Oleg Streltsov, Olga Podolskaya, Alexey Kukushkin, Пугачёв Пётр, Olga Shistareva, Kamerton_440, Alex Katkov, Irina Shakhverdova, Vladimir Grachev, Dmitriy Omelyansky, Aleksey Sazonov, Vladimir Goshev, Vladyslav Sokolenko, Anton Novozhenin, Spartak Kagramanyan, Evgeny Vrublevsky, Ihar Marozau, Александр Фалалеев

Перевод: Алексей Лоскутов
Редактура: Алексей Малов
Научная редактура: Леонид Вокин
Озвучка: Дмитрий Чепусов
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

Сайт студии: http://vertdider.tv

Мы в социальных сетях:
— http://vk.com/studio_vd
— https://t.me/vertdider
— https://twitter.com/Vert_Dider
— http://coub.com/vertdider

Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/user/1veritasium
Источник: https://youtu.be/ty9QSiVC2g0

У відео йдеться про історію винайдення комплексних чисел, які стали вирішенням проблеми від'ємної площі в геометрії і зумовили відмову від геометрії як основи алгебри. Зрештою комплексні числа стали незамінними у фундаментальній фізиці - у рівнянні Шрьодінґера, яке описує хвильову функцію.

✅Текст читав: Андрій Горбунов (канал “Лакуна”)
✅Переклад: Марія Луценко, Марія Ковальчук, Артем Панченко, Катерина Рибачок, Анастасія Євгенова, Анастасія Цьосенко.
✅Редагування, субтитрування, монтаж: Віталій Шевчук (Цікава наука)

❕Підтримайте "Цікаву науку" на https://www.patreon.com/join/CikavaNauka або
💳 Приватбанк: 5168 7451 0521 3422
💳 Монобанк: 4441 1144 2309 4109 (Віталій Шевчук)

© Оригінальне відео: https://www.youtube.com/watch?v=cUzklzVXJwo
© Канал Veritasium: https://www.youtube.com/c/veritasium (з люб’язного дозволу автора)
Executive Producer: Derek Muller
Writers: Derek Muller, Alex Kontorovich, Stephen Welch, Petr Lebedev
Animators: Fabio Albertelli, Jakub Misiek, Iván Tello, Jesús Rascón
SFX: Shaun Clifford
Camerapeople: Derek Muller, Emily Zhang
Editors: Derek Muller, Petr Lebedev
Producers: Derek Muller, Petr Lebedev, Emily Zhang
#SciTube #ЦікаваНаука #WatchUA

Помощь проекту: https://vertdider.tv/to-support-us/

В предыдущем видео мы узнали, что поднять над головой гриф с тяжёлым диском на конце проще, если этот диск вращается. Но почему так? Неужели вращение как-то уменьшает массу объекта? Разбираемся вместе с Дереком с канала Veritasium.

Это антигравитация? #1 Задача: https://youtu.be/UCsqV-d_joA

Перевод: Алексей Лоскутов
Редактура: Алексей Малов
Научная редактура: Леонид Вокин
Озвучка: Дмитрий Чепусов, Юрий Катарманов
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

Спасибо за поддержку на https://www.patreon.com/VertDider.
Озвучки Vert Dider выходят с вашей помощью:

Pavel Dunaev, Nick Denizhenko, Oleksii, Yegor Barakovskiy, mrwiseguy351, Ігор Дорохов, Mikhail Stolpovskiy, Aleksandr, Maxim Syunikov, Oleg Zingilevskiy, Serega Beltser, Rashid Nasibulin, opperatius, Dina Kruchina, Alena, Vitaliy Vachynyuk, Ника Калмыкова, Nadia Kilgishova, Роман Чурин, Aiorraro, Евгений Сельменев, Alex Afalex, Anton Kudashov, Sergii Cherepanov, Владимир Кашутин, Pavel Parpura, Anton Bolotov, Yevhen, Sergei W, Kosoy, Данил Рягузов, Михаил Панькин, Anton Makiievskyi, Максим 'Sheridan' Горлов, Katoto Chan, F23D24, Alexey, Марина Малинкина, Dmitry Khlan, Галина Баринова, Yaroslav Kyrylchuk, Познающий, Ирина Анатольевна Чулкова, kotov.pr, Pavel Golovin, Stanislav K, Edward Ben Rafael, Юрий Медведев, Анна Троссман, Serj Skidan, Andrei Chitaev, L Marchenko, Sultan Ishankulov, Dim iONkinberg, Mike Sviblov, Andrey Rusanov, Inna Klymenko, Dima Chumakov, Dmitriy Lashtaba, Olesya Bolobova, Ilya Alexeevsky, Alexander Balynskiy, Максим Иванов, Ольга Канкулова, Alexander, Viktor Lova, Maria Tronina, Alexander Gorodok, Ivan Iakimov, Alexander Zimin, Евгений Миф, Виталий Пастушенко, Serj Kravchuk, Claudia Barzaeva, Pandaben, Monza UA, Lirin Alex, Pavel D, Dan Sotnikov, Konstantin Pesyakov, Denis Titusov, Viktoria, Alexandr Globov, Oleg Streltsov, Olga Podolskaya, Alexey Kukushkin, Пугачёв Пётр, Olga Shistareva, Kamerton_440, Alex Katkov, Irina Shakhverdova, Vladimir Grachev, Dmitriy Omelyansky, Aleksey Sazonov, Vladimir Goshev, Vladyslav Sokolenko, Anton Novozhenin, Spartak Kagramanyan, Evgeny Vrublevsky, Ihar Marozau, Александр Фалалеев

Сайт студии: http://vertdider.tv

Мы в социальных сетях:
— http://vk.com/studio_vd
— https://t.me/vertdider
— https://twitter.com/Vert_Dider
— http://coub.com/vertdider

Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/user/1veritasium
Источник: https://youtu.be/tLMpdBjA2SU

🔥Post Graduate Program In Data Analytics: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=1May2024DataAnalyticsFullCourse2024&utm_medium=DescriptionFF&utm_source=youtube
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Welcome to our comprehensive Data Analytics Full Course! 📊 Dive into the world of data analysis with this extensive curriculum designed to equip you with essential skills and knowledge. Whether you're a beginner or an experienced professional, this course covers everything you need to know to excel in data analytics.

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With hands-on exercises and real-world examples, you'll gain practical experience in analyzing data and solving analytical problems. Whether you're interested in business intelligence, marketing analytics, or any other field requiring data-driven decision-making, this course will provide you with the foundation you need to succeed.

Join us on this exciting journey into the world of data analytics and unlock new opportunities for your career! Don't forget to subscribe, like, and share to stay updated on our latest content. Let's dive in and master data analytics together!"
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➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

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#AWSCourse #AWSTutorialForBeginners #AWSCertification #Intellipaat

This AWS Course covers all the important skill sets required to get you a job! This video has been designed by top industry experts from around the world and includes multiple real-time projects and important interview questions!

This AWS Tutorial For Beginners will help you understand what is AWS (Amazon Web Services), how AWS became so successful, the services that AWS provides (AWS Suite, Virtualization in AWS, AWS EC2, Amazon ECS, AWS EBS, Amazon FSx, AWS EC2 AMI, AWS CloudWatch, AWS IAM, Amazon Lightsail, Amazon Lambda, Amazon S3), the future of AWS and a demonstration on deploying, in the end, we’ll also be discussing AWS Project on Building AWS Multi-Tier Architecture from Scratch, and AWS Interview Questions for Beginners and Advanced Level. This AWS tutorial video is suitable for those individuals who aspire to become AWS Certified Solution Architects. However, let's move ahead and understand what AWS actually is and what are the services that AWS provides to an organization.

🔵 Following topics are covered in this AWS Course:
00:00:00 - Introduction
00:01:59 - Introduction to Cloud Computing and AWS
00:06:03 - Introduction to Amazon Web Services
00:08:46 - Cloud Computing
00:12:09 - Deployment And Service Models
00:18:35 - AWS Suite
00:24:23 - Virtualization in AWS
00:28:58 - AWS vs Azure vs GCP
00:33:51 - What is EC2
00:38:33 - Regions and Availability Zones
00:41:11 - EC2 Instance Types
00:45:59 - What is AMI?
00:48:28 - Public IP vs Elastic IP
00:51:11 - Elastic Network Interface
01:23:22 - What is EBS?
02:03:37 - What is EFS?
02:05:00 - EBS vs EFS
02:17:55 - What is Fsx?
02:23:15 - Amazon FSx for Windows File Server
02:44:41 - Amazon FSx For Lustre
02:57:24 - Amazon FSx Pricing
03:03:11 - Instance Tenancy and Reserved and Spot Instances
03:12:48 - Introduction to IAM
04:25:36 - Security Token Service
04:28:48 - Introduction to CloudWatch
04:44:01 - CloudWatch Dashboard
04:47:55 - CloudWatch Alarm
05:06:29 - Access Analyzer
05:12:39 - IAM Access Advisor
05:25:04 - IAM Policy Simulator
05:30:50 - CloudWatch EventBridge
05:43:39 - AWS Config.
05:45:25 - Elastic Load Balancer
06:15:13 - Connection Draining
06:28:36 - Sticky Session
06:49:47 - What is Autoscalimg?
07:32:23 - What is Route53?
07:57:14 - AWS Project on Building AWS Multi-Tier Architecture Project from Scratch
10:36:18 - AWS Interview Questions

🔵 What does AWS stand for?
AWS (Amazon Web Services) is a comprehensive, evolving cloud computing platform provided by Amazon that includes a mixture of infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS), and packaged-software-as-a-service (SaaS) offerings.

🔵 What is the salary of AWS?
If we talk about salary, In India, the salary for AWS cloud professionals ranges between 12 Lakh rupees to 35 lakh rupees, whereas in the US it ranges between 100,000 US dollars to 250,000 US dollars.

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According to LinkedIn, there are 27,000 cloud jobs available in India, and almost 5Lakh+ jobs are available worldwide.

Do you want to start your journey into the cloud domain? Then, this video on the AWS Certification program is for you.


▶️ Intellipaat's AWS Certification Training Course for Solutions Architect: https://intellipaat.com/aws-ce....rtification-training

▶️ Intellipaat Achievers Channel: https://www.youtube.com/@intellipaatachievers

🔵 Intellipaat Training courses: https://intellipaat.com/
Intellipaat is a global online professional training provider. We offer some of the most updated, industry-designed certification training programs, including courses in Big Data, Data Science, Artificial Intelligence, and 150 other top-trending technologies.
We help professionals make the right career decisions, choose trainers with over a decade of industry experience, provide extensive hands-on projects, rigorously evaluate learner progress, and offer industry-recognized certifications. We also assist corporate clients in upskilling their workforce and keeping them in sync with the changing technology and digital landscape.

📌 Do subscribe to Intellipaat channel & get regular updates on videos: https://goo.gl/hhsGWb

----------------------------
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1. 24*7 Lifetime Access & Support
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Please write us to sales@intellipaat.com or call us at +91-7847955955
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🔵 Intellipaat DevOps course: https://intellipaat.com/devops....-certification-train
In this Jfrog video, you will learn what is an artifact, artifact repository, Jfrog Artifactory, use case of Jfrog Artifactory, Jfrog Artifactory hands-on. This is a must-watch session for everyone who wishes to learn DevOps and make a career in the cloud domain.

🔵 Read the complete DevOps tutorial here: https://intellipaat.com/blog/t....utorial/devops-tutor

#Jfrog #JfrogArtifactory #JfrogArtifactoryTutorial #ArtifactoryTutorial #DevOpsTutorial #Intellipaat

To subscribe to the Intellipaat channel & get regular updates on videos: https://goo.gl/hhsGWb

🔵 Interested to learn DevOps still more? Please check similar what is DevOps blog here: https://intellipaat.com/blog/what-is-devops/

Are you looking for something more? Enroll in our DevOps certification course and become a certified DevOps professional (https://intellipaat.com/devops....-certification-train). It is a 32 hrs instructor-led DevOps training provided by Intellipaat which is completely aligned with industry standards and certification bodies.

If you’ve enjoyed this Jfrog Artifactory Tutorial video, Like us and Subscribe to our channel for a more similar informative video.
Got any questions about DevOps Tools? Ask in the comment section below.

Intellipaat Edge
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2. Flexible Class Schedule
3. Job Assistance
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5. Industry Oriented Courseware
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🔵 Why should you watch this DevOps course tutorial?

Learning DevOps will help you master all the skills needed in order to successfully build, operate, monitor, measure, and improve the various processes in IT enterprises by better integrating development and operations. We are offering the top DevOps tutorial that can be watched by anybody to learn DevOps. Our DevOps tutorial has been created with extensive inputs from the industry so that you can learn DevOps easily.

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For very long times the development and the operations teams of any software enterprise have stayed at arm’s length. But this organizational cultural shift thanks to DevOps a lot of changes are happening in forward-thinking enterprises. Learning DevOps will help you master all the skills needed in order to successfully build, operate, monitor, measure, and improve the various processes in IT enterprises by better integrating development and operations. You will grab the best jobs in top MNCs after finishing this Intellipaat DevOps online training. The entire Intellipaat DevOps course is in line with the industry needs. There is a huge demand for DevOps certified professionals. The salaries for DevOps professionals are very good. Hence this Intellipaat DevOps tutorial is your stepping stone to a successful career!

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🔥Edureka Machine Learning Certification Training: https://www.edureka.co/machine....-learning-certificat
This Edureka video on 'Data Exploration - Extract, Transform, Load' is the third class in the Python Machine Learning Series which gives a brief introduction to how we can explore the data starting from extraction and leading up to loading the data in a program.

🟠 𝐂𝐥𝐚𝐬𝐬 𝐒𝐜𝐡𝐞𝐝𝐮𝐥𝐞 🟠

[𝗦𝗮𝘁𝘂𝗿𝗱𝗮𝘆 - 𝟭𝟱𝘁𝗵 𝗔𝘂𝗴𝘂𝘀𝘁]
Class 1 - Introduction To Machine Learning
Class 2 - Statistics For Machine Learning
Class 3 - Data Exploration 1 - ETL
Class 4 - Data Exploration 2 - Visualization
Class 5 - Data Exploration 3 - Data Cleaning
[𝐒𝐮𝐧𝐝𝐚𝐲 - 𝟏𝟔𝐭𝐡 𝐀𝐮𝐠𝐮𝐬𝐭]
Class 6 - Data Modeling 1 - Feature Engineering
Class 7 - Data Modeling 2 - Training The Model
Class 8 - Data Modeling 3 - Model Evaluation
Class 9 - Machine Learning Example
Class 10 - Advanced Machine Learning

Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Series: http://bit.ly/2sqmP4s

🔴Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV

-----------------------Edureka Online Training and Certification-----------------
🔵 DevOps Online Training: https://bit.ly/2BPwXf0
🟣 Python Online Training: https://bit.ly/2CQYGN7
🔵 AWS Online Training: https://bit.ly/2ZnbW3s
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🟣CyberSecurity PGP: https://bit.ly/3eHvI0h
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#Edureka #PythonEdureka #pythonML #pythonMLseries #ETL #dataexploration #pythonprojects #pythonprogramming #pythontutorial #PythonTraining #learnPython
--------------------------
How it Works?

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. Machine Learning training will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in the python programming language and many more.
--------------------------
Why Learn Machine Learning using Python?

Data Science is a set of techniques that enables computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms.
--------------------------
Who should go for this Machine Learning Certification Training using Python?
- Developers aspiring to be a ‘Machine Learning Engineer'
- Analytics Managers who are leading a team of analysts
- Business Analysts who want to understand Machine Learning (ML) Techniques
- Information Architects who want to gain expertise in Predictive Analytics
- 'Python' professionals who want to design automatic predictive models
--------------------------
For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") - https://www.edureka.co/power-b....i-certification-trai
This Edureka "Power Query Tutorial" video will help you to understand the value brought by the data connection technology into Power BI Desktop and how it provides a powerful tool for transforming and presenting business intelligence data.

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2024 - https://www.youtube.com/watch?v=vaLXPv0ewHU

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
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🔵 PMP Online Training: http://bit.ly/3XugO44
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t
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🔵 Big Data Online Training: http://bit.ly/3EvUqP5
🌕 RPA Online Training: http://bit.ly/3GFHKYB
🔵 Python Online Training: http://bit.ly/3Oubt8M
🔵 GCP Online Training: http://bit.ly/3VkCzS3
🌕 Microservices Online Training: http://bit.ly/3gxYqqv
🔵 Data Science Online Training: http://bit.ly/3V3nLrc
🌕 CEHv12 Online Training: http://bit.ly/3Vhq8Hj
🔵 Angular Online Training: http://bit.ly/3EYcCTe

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv
🌕 RPA Developer Masters Program: http://bit.ly/3OteYfP
🔵 Web Development Masters Program: http://bit.ly/3U9R5va
🌕 Computer Science Bootcamp Program: http://bit.ly/3UZxPBy
🔵 Cyber Security Masters Program: http://bit.ly/3U25rNR
🌕 Full Stack Developer Masters Program: http://bit.ly/3tWCE2S
🔵 Automation Testing Engineer Masters Program: http://bit.ly/3AGXg2J
🌕 Python Developer Masters Program: https://bit.ly/3EV6kDv
🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🌕 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8

🌕Advanced Certificate Program in Cybersecurity with E&ICT Academy, IIT Guwahati: https://bit.ly/3Pd2utG


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Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: +18338555775 (toll-free) for more information.

( Informatica Tutorial - https://www.edureka.co/informatica )
This Edureka Informatica tutorial helps you understand Informatica PowerCenter in detail. This Informatica tutorial is ideal for both beginners as well as professionals who want to learn or brush up their Informatica concepts. Check our Informatica playlist here https://goo.gl/TmX6Fv.
Informatica Tutorial Blog Series: https://goo.gl/HkKAVi

This video helps you to learn following topics :

1. ETL Using Informatica PowerCenter
2. The Information Economy
3. ETL - an Overview
4. The Informatica Platform
5. Why Informatica
6. Informatica Partners and Customers
7. Informatica Architecture Overview and Components
8. Use Case 1 - Loading Product Dimension table using slowly changing dimension (SCD)
9. Use Case2 - Popular Sales Summary table using Incremental aggression
10. Job Trends
11. Scope of this Course

Other Related Blog Post:
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https://goo.gl/daslPm
https://goo.gl/2oYch1


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#Informatica #Informaticatutorial #Informaticapowercenter #Informaticaonlinetraining

How it Works?
1. This is a 6 Week Instructor led Online Course, 25 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!

- - - - - - - - - - - - - - - - -

About the Course

Edureka's Informatica PowerCenter Certification training is designed to help you become a top Informatica Developer and Administrator. During this course, our expert Informatica instructors will help you:

1. Understand and identify different Informatica Products
2. Describe Informatica PowerCenter architecture & its different components
3. Use PowerCenter 9.x components to build Mappings, Tasks, Workflows
4. Describe the basic and advanced features functionalities of PowerCenter 9.X transformations
5. Understand Workflow Task and job handling
6. Describe Mapping Parameter and Variables
7. Perform debugging, troubleshooting, error handling and recovery
8. Learn to calculate cache requirement and implement session cache
9. Execute performance tuning and Optimisation
10. Recognise and explain the functionalities of the Repository Manager tool.
11. Identify how to handle services in the Administration Console
12. Understand techniques of SCD, XML Processing, Partitioning, Constraint based loading and Incremental Aggregation
13. Gain insight on ETL best practices using Informatica

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Who should go for this course?

The following professionals can go for this course :
1. Software Developers
2. Analytics Professionals
3. BI/ETL/DW Professionals
4. Mainframe developers and Architects
5. Individual Contributors in the field of Enterprise Business Intelligence

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Why learn Informatica?

Informatica provides the market's leading data integration platform. Tested on nearly 500,000 combinations of platforms and applications, the data integration platform interoperates with the broadest possible range of disparate standards, systems, and applications. This unbiased and universal view makes Informatica unique in today's market as a leader in the data integration platform. It also makes Informatica the ideal strategic platform for companies looking to solve data integration issues of any size.

The topics related to Informatica have extensively been covered in our course 'Informatica PowerCenter 9.X Developer & Admin’.

For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free).

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🔥Data Scientist Masters Program: https://www.edureka.co/masters....-program/data-scient
This Edureka video on "What is Data Science" will introduce you to the concepts of Data Science and how it is used to solve real-world problems. Data science is the process of using the data to find solutions / to predict outcomes of a problem statement.
00:00 Introduction
00:24 Agenda
01:16 Data Science
03:28 Walmart Use Case
05:39 What is Data Science
07:36 Problems Solving in Data Science
19:55 Categories of Algorithms
20:06 Supervised Learning
21:19 Unsupervised Learning
22:16 Reinforcement Learning
22:36 K-Means Clustering Algorithm

Check our complete Data Science playlist here: https://goo.gl/60NJJS

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------------------------------------Edureka Online Training and Certification---------------------------------

🔵 DevOps Online Training: https://bit.ly/2BPwXf0
🟣 Python Online Training: https://bit.ly/2CQYGN7
🔵 AWS Online Training: https://bit.ly/2ZnbW3s
🟣 RPA Online Training: https://bit.ly/2Zd0ac0
🔵 Data Science Online Training: https://bit.ly/2NCT239
🟣 Big Data Online Training: https://bit.ly/3g8zksu
🔵 Java Online Training: https://bit.ly/31rxJcY
🟣 Selenium Online Training: https://bit.ly/3dIrh43
🔵 PMP Online Training: https://bit.ly/3dJxMTW
🟣 Tableau Online Training: https://bit.ly/3g784KJ

-----------------------------------------Edureka Masters Programs---------------------------------------------------

🔵DevOps Engineer Masters Program: https://bit.ly/2B9tZCp
🟣Cloud Architect Masters Program: https://bit.ly/3i9z0eJ
🔵Data Scientist Masters Program: https://bit.ly/2YHaolS
🟣Big Data Architect Masters Program: https://bit.ly/31qrOVv
🔵Machine Learning Engineer Masters Program: https://bit.ly/388NXJi
🟣Business Intelligence Masters Program: https://bit.ly/2BPLtn2
🔵Python Developer Masters Program: https://bit.ly/2Vn7tgb
🟣RPA Developer Masters Program: https://bit.ly/3eHwPNf

----------------------------------------------------Edureka Post Graduate Courses-------------------------------------------

🔵 Artificial and Machine Learning PGD: https://bit.ly/3AylL0q


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#edureka #DataScienceEdureka #introductiontodatascience #whatisdatascience #learn #datascience #withMe

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About the Master's Program

This program follows a set structure with 6 core courses and 8 electives spread across 26 weeks. It makes you an expert in key technologies related to Data Science. At the end of each core course, you will be working on a real-time project to gain hands on expertise. By the end of the program you will be ready for seasoned Data Science job roles.

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Topics Covered in the curriculum:

Topics covered but not limited to will be : Machine Learning, K-Means Clustering, Decision Trees, Data Mining, Python Libraries, Statistics, Scala, Spark Streaming, RDDs, MLlib, Spark SQL, Random Forest, Naïve Bayes, Time Series, Text Mining, Web Scraping, PySpark, Python Scripting, Neural Networks, Keras, TFlearn, SoftMax, Autoencoder, Restricted Boltzmann Machine, LOD Expressions, Tableau Desktop, Tableau Public, Data Visualization, Integration with R, Probability, Bayesian Inference, Regression Modelling etc.

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For more information, please write back to us at sales@edureka.co or call us at: IND: 9606058406 / US: 18338555775 (toll free)

🔥NIT Warangal Post Graduate Program in AI & Machine Learning with Edureka: https://www.edureka.co/nitw-ai-ml-pgp
This Edureka video on Machine Learning Algorithms Explained shall teach you what machine learning is, and the various ways in which you can use machine learning to solve a problem! Towards the end, you will learn how to prepare a data-set for model creation and validation and how you can create a model using any machine learning algorithm!

🔷🔸𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗦𝗽𝗲𝗮𝗸𝗲𝗿🔸🔷
Name: Mr. Arnab Ganguly
Details:
1. Director at Capgemini for Data Science, AIML.
2. 20+ years of diverse experience in Business Excellence, Consulting and Predictive Analytics
3. An Alumnus of IIT, Bombay

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------------------------------------Edureka Online Training and Certification---------------------------------

🔵 DevOps Online Training: https://bit.ly/2BPwXf0
🟣 Python Online Training: https://bit.ly/2CQYGN7
🔵 AWS Online Training: https://bit.ly/2ZnbW3s
🟣 RPA Online Training: https://bit.ly/2Zd0ac0
🔵 Data Science Online Training: https://bit.ly/2NCT239
🟣 Big Data Online Training: https://bit.ly/3g8zksu
🔵 Java Online Training: https://bit.ly/31rxJcY
🟣 Selenium Online Training: https://bit.ly/3dIrh43
🔵 PMP Online Training: https://bit.ly/3dJxMTW
🟣 Tableau Online Training: https://bit.ly/3g784KJ

-----------------------------------------Edureka Masters Programs---------------------------------------------------

🔵DevOps Engineer Masters Program: https://bit.ly/2B9tZCp
🟣Cloud Architect Masters Program: https://bit.ly/3i9z0eJ
🔵Data Scientist Masters Program: https://bit.ly/2YHaolS
🟣Big Data Architect Masters Program: https://bit.ly/31qrOVv
🔵Machine Learning Engineer Masters Program: https://bit.ly/388NXJi
🟣Business Intelligence Masters Program: https://bit.ly/2BPLtn2
🔵Python Developer Masters Program: https://bit.ly/2Vn7tgb
🟣RPA Developer Masters Program: https://bit.ly/3eHwPNf

-----------------------------------------Edureka PGP Courses---------------------------------------------------

🔵Artificial and Machine Learning PGP: https://bit.ly/2Ziy7b1
🟣CyberSecurity PGP: https://bit.ly/3eHvI0h
🔵Digital Marketing PGP: https://bit.ly/38cqdnz
🟣Big Data Engineering PGP: https://bit.ly/3eTSyBC
🔵Data Science PGP: https://bit.ly/3dIeYV9
🟣Cloud Computing PGP: https://bit.ly/2B9tHLP

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#edureka #MachineLearningEdureka #machineLearningAlgorithms #MachinelearningTutorial #machineLearningPython #LearnMachineLearning #withMe
----------------------------------------------
Why Machine Learning & AI?

Because of the increasing need for intelligent and accurate decision making, there is an exponential growth in the adoption of AI and ML technologies. Hence these are poised to remain the most important technologies in the years to come.
-----------------------------------------------
PG Program in Machine Learning & AI

1. Ranked 4th among NITs by NIRF
2. Ranked among Top 50 Institutes in India
3. Designated as Institute of National Importance
-----------------------------------------------
Program Features

1. Mentorship from NITW faculty
2. Placement Assistance
3. Alumni Status
4. Industry Networking
-----------------------------------------------
Industry Projects

1. Building a Conversational ChatBot
2. Predictive Model for Auto Insurance
3. E-commerce Website - Sales Prediction
--------------------------------------------
Is there any eligibility criteria for this program?

A potential candidate must have one of the following prerequisites: Degrees like BCA, MCA, and B.Tech or Programming experience Should have studied PCM in 10+2

--------------------------------------------
For more information, Please write back to us at sales@edureka.in or call us at IND: +91-9606058418 / US: 18338555775 (toll-free).

( ** AWS Training: https://www.edureka.co/aws-certification-training ** )

This Edureka live tutorial on ‘AWS Machine Learning Tutorial’ will introduce you to the nitty-gritty of Cloud Computing, Machine Learning and help you build an ML model using AWS.
Following is the list of content covered in this session:
1. What Is Cloud?
2. What Is AWS?
3. Machine Learning
4. Demo: Implement Machine learning Using AWS

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Amazon AWS Video Tutorial Playlist https://goo.gl/9fQX6J

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-----------------------------------------------------------------------------------------

How it Works?
1. This is a 5 Week Instructor led Online Course.
2. The course consists of 30 hours of online classes, 30 hours of assignment, 20 hours of project
3. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
4. You will get Lifetime Access to the recordings in the LMS.
5. At the end of the training, you will have to complete the project based on which we will provide you a Verifiable Certificate!

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About the Course

AWS Architect Certification Training from Edureka is designed to provide in depth knowledge about Amazon AWS architectural principles and its components. The sessions will be conducted by Industry practitioners who will train you to leverage AWS services to make the AWS cloud infrastructure scalable, reliable, and highly available. This course is completely aligned to AWS Architect Certification - Associate Level exam conducted by Amazon Web Services.

During this AWS Architect Online training, you'll learn:
1. AWS Architecture and different models of Cloud Computing
2. Compute Services: Amazon EC2, Auto Scaling and Load Balancing, AWS Lambda, Elastic Beanstalk
3. Amazon Storage Services: EBS, S3 AWS, Glacier, CloudFront, Snowball, Storage Gateway
4. Database Services: RDS, DynamoDB, ElastiCache, RedShift
5. Security and Identity Services: IAM, KMS
6. Networking Services: Amazon VPC, Route 53, Direct Connect
7. Management Tools: CloudTrail, CloudWatch, CloudFormation, OpsWorks, Trusty Advisor
8. Application Services: SES, SNS, SQS

Course Objectives

On completion of the AWS Architect Certification training, a learner will be able to:
1. Design and deploy scalable, highly available, and fault tolerant systems on AWS
2. Understand lift and shift of an existing on-premises application to AWS
3. Ingress and egress of data to and from AWS
4. Identifying appropriate use of AWS architectural best practices
5. Estimating AWS costs and identifying cost control mechanisms

Who should go for this course?

This course is designed for students and IT professionals who want to pursue a career in Cloud Computing. The course is the best fit for:
1. Professionals interested in managing highly-available and fault-tolerant enterprise and web-scale software deployments.
2. Professionals who want Project Experience in migrating and deploying cloud-based solutions.
3. DevOps professionals.

Pre-requisites

There are no specific prerequisites for this course. Any professional who has an understanding of IT Service Management can join this training. There is no programming knowledge needed and no prior AWS experience required.

For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free).

🔥Edureka Data Science Certification Training: https://www.edureka.co/data-sc....ience-python-certifi
This Edureka Live session on 'Linear Regression In Machine Learning' covers an introduction to Linear Regression with practical implementation using a custom data set. Following are the topics of discussion:

What is Regression In Machine Learning?
Types Of Regression
What is Linear Regression?
Linear Regression Terminologies
Advantages And Disadvantages
Linear Regression Use Cases
How To Implement Linear Regression Using Python

🔹Python Tutorial Playlist: https://goo.gl/WsBpKe
🔹Blog Series: http://bit.ly/2sqmP4s

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#edureka #edurekaMachineLearning #linearregressioninmachinelearning #linearregressioninpython #machinelearning #linearregression #mlalgorithms #machinelearningtraining
----------------------------------------------------------------------------------------------------------
How it Works?

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. Machine Learning training will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in the python programming language. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real-life scenarios using Machine Learning Algorithms. Towards the end of the course, we will be discussing various practical use cases of Machine Learning in the python programming language to enhance your learning experience.

Why Learn Machine Learning using Python?

Data Science is a set of techniques that enables computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.

After completing this Machine Learning Certification Training using Python, you should be able to:
Gain insight into the 'Roles' played by a Machine Learning Engineer
Automate data analysis using python
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and it’s related concepts
Gain expertise to handle business in the future, living the present
Who should go for this Machine Learning Certification Training using Python?

Edureka’s Python Machine Learning Certification Course is a good fit for the below professionals:
Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'Python' professionals who want to design automatic predictive models
For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll-free)

🔥Edureka Machine Learning Certification Training: https://www.edureka.co/machine....-learning-certificat
This Edureka video on 'Data Exploration - Data Cleaning' is the fifth class in the Python Machine Learning Series which gives a brief introduction to how we can clean the data from redundancies for further processes.

🟠 𝐂𝐥𝐚𝐬𝐬 𝐒𝐜𝐡𝐞𝐝𝐮𝐥𝐞 🟠

[𝗦𝗮𝘁𝘂𝗿𝗱𝗮𝘆 - 𝟭𝟱𝘁𝗵 𝗔𝘂𝗴𝘂𝘀𝘁]
Class 1 - Introduction To Machine Learning
Class 2 - Statistics For Machine Learning
Class 3 - Data Exploration 1 - ETL
Class 4 - Data Exploration 2 - Visualization
Class 5 - Data Exploration 3 - Data Cleaning
[𝐒𝐮𝐧𝐝𝐚𝐲 - 𝟏𝟔𝐭𝐡 𝐀𝐮𝐠𝐮𝐬𝐭]
Class 6 - Data Modeling 1 - Feature Engineering
Class 7 - Data Modeling 2 - Training The Model
Class 8 - Data Modeling 3 - Model Evaluation
Class 9 - Machine Learning Example
Class 10 - Advanced Machine Learning

Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Series: http://bit.ly/2sqmP4s

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-----------------------Edureka Online Training and Certification-----------------
🔵 DevOps Online Training: https://bit.ly/2BPwXf0
🟣 Python Online Training: https://bit.ly/2CQYGN7
🔵 AWS Online Training: https://bit.ly/2ZnbW3s
🟣 RPA Online Training: https://bit.ly/2Zd0ac0
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--------------------------
How it Works?

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. Machine Learning training will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in the python programming language and many more.
--------------------------
Why Learn Machine Learning using Python?

Data Science is a set of techniques that enables computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms.
--------------------------
Who should go for this Machine Learning Certification Training using Python?
- Developers aspiring to be a ‘Machine Learning Engineer'
- Analytics Managers who are leading a team of analysts
- Business Analysts who want to understand Machine Learning (ML) Techniques
- Information Architects who want to gain expertise in Predictive Analytics
- 'Python' professionals who want to design automatic predictive models
--------------------------
For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775

🔥Machine Learning Training with Python: https://www.edureka.co/machine....-learning-certificat
This Edureka video on Machine Learning Steps will help you understand, what are the various steps involved in while developing a Machine Learning Model. By the end of this video you will be able to implement a Machine Learning Pipeline. These are the following topics that are covered in this Machine Learning Steps video:
00:00:00 Introduction
00:00:47 Why Machine Learning?
00:02:04 What is Machine Learning?
00:04:36 Machine Learning PipeLine
00:08:51Demo: Implement a Machine Learning Pipeline

🔹Checkout Edureka's Machine Learning Python Tutorial playlist: https://bit.ly/3szLTCO
🔹Checkout Edureka's Machine Learning R Tutorial Playlist: https://bit.ly/3duYGlF

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------------------------------------------------------------------
How it Works?
1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!
- - - - - -
About the Course :

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.
--------------------------------------

Why Learn Machine Learning with Python?
Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.
-----------------------------------

Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.
For more information, please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free)

🔥E&ICT Academy, NIT Warangal Post Graduate Program in AI & Machine Learning with Edureka: https://www.edureka.co/nitw-ai-ml-pgp
This Machine Learning Algorithms Tutorial shall teach you what machine learning is, and the various ways in which you can use machine learning to solve a problem! Towards the end, you will learn how to prepare a data-set for model creation and validation and how you can create a model using any machine learning algorithm!

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-----------------------------------------Edureka Masters Programs---------------------------------------------------

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-----------------------------------------Edureka PGP Courses---------------------------------------------------

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Why Machine Learning & AI?

Because of the increasing need for intelligent and accurate decision making, there is an exponential growth in the adoption of AI and ML technologies. Hence these are poised to remain the most important technologies in the years to come.

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PG Program in Machine Learning & AI

1. Ranked 4th among NITs by NIRF
2. Ranked among Top 50 Institutes in India
3. Designated as Institute of National Importance

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Program Features

1. Mentorship from NITW faculty
2. Placement Assistance
3. Alumni Status
4. Industry Networking

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Industry Projects

1. Building a Conversational ChatBot
2. Predictive Model for Auto Insurance
3. E-commerce Website - Sales Prediction

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Mentors & Instructors

Dr. RBV Subramaanyam
Professor NITW

Dr. DVLN Somayajulu
Professor NITW

Dr. P. Radha Krishna
Professor NITW

Dr. V. Ravindranath
Professor JNTU Kakinada

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Is this program for me?

If you’re passionate about AI & ML and want to pursue a career in this field, this program is for you. Whether you’re a fresher or a professional, this program is designed to equip you with the skills you need to rise to the top in a career in AI & ML.

Is there any eligibility criteria for this program?

A potential candidate must have one of the following prerequisites: Degrees like BCA, MCA, and B.Tech or Programming experience Should have studied PCM in 10+2

Will I get any certificate at the end of the course?

Yes, you will receive a Post-Graduate industry-recognized certificate from E & ICT Academy, NIT Warangal upon successful completion of the course.

For more information, Please write back to us at sales@edureka.in or call us at IND: +91-9606058418 / US: 18338555775 (toll-free).