** Machine Learning Training with Python: https://www.edureka.co/data-sc....ience-python-certifi **
This "Top 10 Applications of Machine Learning in 2021" video will give you an idea of how vast the machine learning is and how commonly you are using it in your day to day life.

Check out our playlist for more videos: http://bit.ly/2taym8X

Subscribe to our channel to get video updates. Hit the subscribe button above.
#MachineLearningApplications #MachineLearningUsingPython #MachineLearningTraining

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!
00:00 Introduction
00:37 Google Map
02:02 Facebook
03:58 Uber/Uber Eats
05:12 Amazon
06:16 iPhone
07:51 Tesla
09:48 Netflix
10:25 Moley
11:38 Google Translate
12:42 Kuka


- - - - - - - - - - - - - - - - -
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 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.

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 future, living the present

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

Why learn Machine Learning with Python?

Data Science is a set of techniques that enable 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.

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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Most Hated Songs in Human History

For what it's worth, I like a lot of these songs.

Spotify playlist: https://open.spotify.com/playl....ist/6WG3kURbUJRFruEv
TikTok: www.tiktok.com/@boogieheadmusic
Thumbnail: https://youtube.com/@MeghanTra....inor?si=qXS9aJHFgaub

#music #songs

RAKSHAKA Full Movie is now available on Kannada Filmnagar. #Rakshaka is the latest super hit Kannada Dubbed movie starring Super Star Mahesh Babu, Tamannah Bhatia, Sonu Sood and others in the lead roles. The movie is directed by Srinu Vaitla and produced by Ram Achanta, Gopichand Achanta and Anil Sunkara. The music was composed by Thaman and DOP by K. V. Guhan. For more Latest Kannada Movie News, Celebs Updates & Sandalwood Updates stay tuned to #KannadaFilmnagar - http://bit.ly/38BJpx8.

Get NOTIFIED instantly by pressing SUBSCRIBE and the 🔔BELL ICON of our Kannada FilmNagar channel.

Synopsis: Encounter ​specialist ​Shankar (Mahesh Babu) is posted to a small town called Bukkapattanam. The entire area is dominated by a ​dreaded don called Damodar (Sonu Sood),​ who runs illegal businesses by threatening the poor. Shankar decides to take ​things in his hands, and starts ​planning ​Damodar’s decline. ​Midway through, he comes to know a shocking truth about Damodar, which relates back to his family.
What is that truth? How does Shankar manage to destroy Damodar​ and his empire ? and Where do Saroja(Tamannah) and Delhi Suri(Brahmanandam) fit in this entire set-up?. To know the answers to all these questions, you need to watch the film on a big screen.

#maheshbabu #tamannaah #latestkannadamovies #sandalwoodmovies

Click here to watch

SHIRDI SAI FULL MOVIE HD | Nagarjuna | Kamalinee Mukherjee | Latest Kannada Dubbed Movies | KFN - https://youtu.be/2LzUpFnrxOk

ARGENTINA FULL MOVIE HD | Kalidas Jayaram | Aishwarya Lekshmi | Latest Kannada Dubbed Movies | KFN - https://youtu.be/0cDSOFogZto

ISmart Shankar Full Movie - https://bit.ly/3ic4EKe

Namma Kutumba Full Movie - https://bit.ly/3AMDbWQ

Watch the best of Kannada Cinema uploads right here! http://bit.ly/1MMiQkq Kannada Channel is the final destination for all Kannada movie lovers in High-definition (HD) and Premium Kannada Entertainment Videos, covering all the genres from Old classics to New, Love to Action and Comedy to Sentiment.

For more Latest Kannada Movies News & Celeb Updates:
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Machine Learning is an absolutely fantastic skill to pick up. Here are some of my favorite Machine Learning courses that I have taken on Coursera.

LINKS:
Machine Learning by Andrew Ng - https://coursera.pxf.io/yRx0dD
Mathematics for Machine Learning - https://coursera.pxf.io/qnGJRn
IBM Applied AI Professional Certificate - https://coursera.pxf.io/jWjkEn
DeepLearning.AI TensorFlow Developer Professional Certificate - https://coursera.pxf.io/AoY9zR
Data Engineering, Big Data, and Machine Learning on GCP Specialization - https://coursera.pxf.io/VyjErR

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RESOURCES:

Coursera Courses:
Google Data Analyst Certification: https://coursera.pxf.io/5bBd62
Data Analysis with Python - https://coursera.pxf.io/BXY3Wy
IBM Data Analysis Specialization - https://coursera.pxf.io/AoYOdR
Tableau Data Visualization - https://coursera.pxf.io/MXYqaN

Udemy Courses:
Python for Data Analysis and Visualization- https://bit.ly/3hhX4LX
Statistics for Data Science - https://bit.ly/37jqDbq
SQL for Data Analysts (SSMS) - https://bit.ly/3fkqEij
Tableau A-Z - http://bit.ly/385lYvN

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*All opinions or statements in this video are my own and do not reflect the opinion of the company I work for or have ever worked for*

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐎𝐩𝐬 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐔𝐒𝐄 𝐂𝐎𝐃𝐄 ('𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎'):
https://www.edureka.co/masters....-program/devops-engi
Are you ready to supercharge your DevOps career this year? In this video, we've got the ultimate guide to the "Top 5 DevOps Certifications" that are not only in high demand but also offer some of the highest-paying opportunities in the tech industry.🚀 Whether you're a seasoned DevOps pro or just starting your journey, these DevOps certifications can take your skills to the next level, making you an invaluable asset to any organization.

Top 5 DevOps Certifications are:

✅ 00:00 Top 5 DevOps Certifications
✅ 01:00 Introduction to DevOps
✅ 03:51 AWS Certified DevOps Engineer - Professional
✅ 05:14 Certified Kubernetes Administrator (CKA)
✅ 06:31 Microsoft Certified Azure DevOps Engineer Expert
✅ 07:45 Docker Certified Associate (DCA)
✅ 09:05 Certified Jenkins Engineer

Check our complete DevOps playlist here (includes all the videos mentioned in the video): http://goo.gl/O2vo13

For doubts & queries on DevOps, post the same on Edureka Community: https://www.edureka.co/community/devops

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐎𝐩𝐬 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🔵 AWS DevOps Online Training: https://bitly.ws/WyxA
🔵 Kubernetes Online Training: https://bitly.ws/WyxU
🔵 Microsoft Azure Online Training: https://bitly.ws/Wyya
🔵 Docker Online Training: https://bitly.ws/Wyyy
🔵 Jenkins Online Training: https://bitly.ws/WyyJ

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐨𝐩𝐬 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐏𝐫𝐨𝐠𝐫𝐚𝐦

🔵 DevOps Engineer Masters Program: https://bit.ly/3pXp1Ou

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦

🌕 Professional Certificate Program in DevOps with Purdue University: https://bit.ly/3yqRlMS

DevOps Podcast: https://castbox.fm/channel/id1684800
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
- - - - - - - - - - - - - -

About the Course
Edureka’s DevOps online training is designed to help you master key tools of Devops lifecycle like Docker, Puppet, Jenkins, Nagios, GIT, Ansible, SaltStack and Chef used by a DevOps Engineer for automating multiple steps in SDLC. During this course, our expert DevOps instructors will help you:

1. Understand the concepts and necessities of DevOps
2. Understand the need for DevOps and the day-to-day real-life problems it resolves
3. Learn installation and configuration of common infrastructure servers like Apache, and Nginx for the Enterprise
4. Learn popular DevOps tools like Jenkins, Puppet, Chef, Ansible, SaltStack, Nagios and GIT
5. Implement automated system update, installations and deployments
6. Learn Virtualization Concepts
7. Configuration deployment and packaging, continuous integration using GIT
8. Fine tune Performance and set-up basic Security for Infrastructure
9. Manage server operations using Code which is popularly known as Infrastructure as a Code
10. Understand the need for and concepts of Monitoring and Logging.

Along with the above mentioned topics, to help you master the most popular DevOps tools, you will also receive 3 additional self-paced courses including presentations, class recordings, assignments, solutions for the following tools:

1: Ansible - Covers Introduction, Setup & Configuration, Ansible Playbooks, 37 Ansible Modules, Different Roles and Command Line usage.
2: Chef - Covers Introduction, Building the Cook Book, Node Object & Search, Data-bags, Chef environment, Roles, Deploying Nodes in Production and using the Open Source Chef Server.
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Who should go for this course?
DevOps practitioners are among the highest paid IT professionals today, and the market demand for them is growing rapidly. With the emergence of new job roles around DevOps philosophy, anyone aspiring to get into these new roles, can take up this DevOps course. Some of these roles are:

DevOps Engineers
Site Reliability Engineers (SREs)
Automation Engineers
Cloud Engineers
Infrastructure as Code (IaC) Specialists

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Project Work
1. Host a dummy webpage using Apache Web Server.
2. Write shell script which reports:
a) Various system configurations related to the user and the OS.
b) Data related to load on the server.
c) Top 5 processes with maximum number of threads.
d) Sort the services by memory
3. Install Nagios on a VM node for monitoring the various parameters of the VM.

For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll-free).
#Edureka #EdurekaDevOps #DevOpsTutorial #DevOpsTools #DevOpsTraining #Git #Jenkins #Docker #Puppet #Ansible #DevOps #Kubernetes #Ansible #Puppet #Chef #Terraform

🔥Edureka Machine Learning Certification Training: https://www.edureka.co/machine....-learning-certificat
This Edureka video on 'Top 10 Machine Learning Algorithms' covers the brief introduction of the top 10 algorithms used in Machine Learning. Following are the topics discussed

Why Machine Learning?
What is Machine Learning?
Why Machine Learning Algorithms
Top 10 Machine Learning Algorithms

Machine Learning Tutorial Playlist: https://goo.gl/UxjTxm

----------------------------------------------------------------------------------------------------------
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#edureka #machineLearningEdureka #Top10MachineLearningAlgorithms #machineLearning #machineLearningPython #machineLearningTutorial

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

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)

📌Generative AI Course: Masters Program : https://www.edureka.co/masters....-program/generative-
🔥Integrated MS+PGP Program in Data Science & AI:https://www.edureka.co/dual-ce....rtification-programs

Learn the fundamentals of generative artificial intelligence in this beginner-friendly course (2025 edition). We’ll cover what generative AI is, how it differs from traditional AI, key architectures (GANs, VAEs, Transformers), hands-on examples, prompt engineering, and real-world applications you can build today. No prior AI or deep-learning experience required.

✅ What you’ll learn:

What is generative AI & why it matters in 2026
Core models: GAN (Generative Adversarial Network), VAE (Variational Autoencoder)
Transformer architecture and large language models (LLMs)
Text-, image-, and audio-generation use cases
Basics of prompt-engineering and building your own simple GenAI app
Ethical, bias, and safety considerations for generative systems

📌 By the end of this course you’ll be equipped to explore your own generative-AI experiments and skill up for deeper tools.

🔔 If you enjoyed this video, Subscribe & hit the bell icon so you won’t miss further AI-tutorials in 2026. Leave a comment if you have questions or want to see a project walkthrough.

🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py

📝Feel free to share your comments below.📝

🔴 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
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t
🌕 Java Online Training: http://bit.ly/3tRxghg
🔵 Big Data Online Training: http://bit.ly/3EvUqP5
🌕 RPA Online Training: http://bit.ly/3GFHKYB
🔵 Python Online Training: http://bit.ly/3Oubt8M
🌕 Azure Online Training: http://bit.ly/3i4P85F
🔵 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

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: +18885487823 (toll-free) for more information.

🔥Post Graduate Program In Digital Supply Chain Management: https://www.simplilearn.com/pgp-digital-supply-chain-management-certification-training-course?utm_campaign=SupplyChainManagementScribe-Lpp9bHtPAN0&utm_medium=DescriptionFF&utm_source=youtube
Video on Supply Chain Management will enable you to comprehend supply chain management in detail. This video will equip you with a good understanding of What Is Supply Chain Management using Apple INC's case study. The case study will emphasize the iPhone 13 pro's supply delays and production cut. You will also learn about the reasons behind the production cut and how a sleek supply chain management strategy can be created.

Please share your feedback below and don't forget to take the quiz at 04:44!

🔥Explore Our Free Courses With Completion Certificate by SkillUp: https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=SupplyChainManagementScribe&utm_medium=Description&utm_source=youtube

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Data Science tutorial videos: https://www.youtube.com/watch?v=X3paOmcrTjQ&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6

#SupplyChainManagement #WhatIsSupplyChainManagement #SupplyChainManagementExplained #SupplyChainManagementLecture #Simplilearn

✅What Is Supply Chain Management?
The term supply chain is a connected network of individuals, organizations, resources, activities, technologies involved in the manufacturing and sales of a product or service. Companies develop supply chains so that they can reduce their costs and remain competitive in the business landscape.

✅What Are The Stages of Supply Chain Management?
Five stages altogether formulate a supply chain management strategy. You will now discover them in brief:

⏩ Planning Operational Strategy: The main focus at this stage is to focus on designing a strategy that yields maximum profit.

⏩ Sourcing: Following the planning, the next phase is to develop or source. At this stage, you are primarily concerned with developing strong relationships with raw material suppliers.

⏩ Manufacturing (Making): The products are created, manufactured, tested, packaged, and synchronized for delivery at this step. The supply chain managers are tasked with arranging all manufacturing, testing, packaging, and delivery preparation activities.

⏩ Delivery: This phase deals with product sales and distribution of products across all retail stores. It is a logistics phase, where consumer orders are approved, and product delivery is set into motion.

⏩ Returns: This last phase controls the return of defective or damaged products by consumers. This level of the supply chain is frequently a source of contention for many businesses. Supply chain planners must devise a responsive and adaptable network for receiving damaged, faulty, and additional items from consumers and expediting the return procedure for customers concerned with supplied products.

✅Why Supply Chain Management Is Important?
Supply chain management is critical for any organization. The following are some of the advantages that a well-managed supply chain can provide:
-An adequate supply chain can enhance product quality by regulating manufacturing processes.
-A well-managed supply chain can lower the risk of recalls and litigation by enhancing customer satisfaction.
-Control over shipping methods will remove the possibility of inventory overstock.
-Helps organizations in enhancing their profit margins.
-It can help attain a wide range of organizational objectives.


Key Features of Simplilearn Data Scientist Program:
✅ Post Graduate Program Certificate from Purdue
✅ Membership to the Purdue Alumni Association
✅ Masterclasses from top faculty of Purdue University
✅ Industry-focused capstone projects
✅ 8x higher live interaction in live online classes by industry experts
✅ Interactive peer learning through group projects and discussions


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🔥Enroll for the UI / UX Design Course: https://intellipaat.com/ui-ux-design-course/

#UIUXDesignFullCourse #UIUXCourse #UIUXTraining #Intellipaat

This UI UX Design Full Course covers all the important skill sets required to get you a UI UX job!

We will begin this UI UX Course with an Introduction to UI UX Design. Then we will get introduced to Figma, how to do Brainstorming and Empathization in Figma, as well as how to use predefined templates and features from Figjam.

Next, we will cover How to use inspiration from the internet to create design, how to recognize UI patterns, Atomic Design principles, and much more about UI and UX technicalities as highlighted on the screen. Finally, we will help you understand how you can create UI Components in Figma as well as some of the important Figma PlugIns and their Use Cases.

This UI UX Course suits those who aspire to become UI UX Designers

🔵 Following topics are covered in this UI UX Design Full Course:
00:00:00 - Introduction to UI UX Course
00:03:15 - Introduction to Figma Products
00:37:46 - What is Affinity Map And How to Create?
00:49:46 - Collaborative Power
00:50:50 - Brainstorming & Empathization in Figma
01:09:23 - Using Predefined Templates and Features in FigJam
01:49:47 - Drawing Inspiration from the Internet
02:10:56 - Atomic Design Principle
02:28:38 - Principles of Good UI Design
02:47:20 - UI Design Styles
03:00:52 - What is a Wireframe?
03:07:30 - Jakob's Law
03:25:37 - Aesthetic Usability Effect
03:33:10 - Hick's Law
03:50:50 - Goal - Gradient Effect
03:57:45 - Miller's Law
04:08:26 - Serial Position Effect
04:11:25 - Von Restroff Effect
04:15:35 - Zeigarnik Effect
04:22:52 - Law of Common Region
04:24:58 - Gestalt Law of UX Designing
04:38:14 - UI Designing Principles
05:02:00 - Drawing Inspiration from the Internet
05:09:09 - Hands-on Session
07:30:03 - Components in Figma
07:56:42 - Figma Plugins & It’s Use Cases
10:31:46 - UI UX Designing Interview Questions And Answers

✅ What is a UI UX course?
The UI/UX Design Specialization brings a design-centric approach to user interface and user experience design and offers practical, skill-based instruction centered around a visual communications perspective, rather than one focused on marketing or programming alone.

✅What is the UI UX design course for?
The UI/UX Design Specialization brings a design-centric approach to user interface and user experience design and offers practical, skill-based instruction centered around a visual communications perspective, rather than one focused on marketing or programming alone.

➡ About the Course
Become a UI/UX professional by building a strong UX portfolio with our UI UX Course in just 6 months!

UI UX Design Course by iHUB, IIT Roorkee (An Innovation Hub of IIT Roorkee)
Learn UI/UX from eminent IIT Faculty & Industry Experts
Gain Generative AI skills in the UI UX Industry
2 Days Campus Immersion at IIT Roorkee

➡Who should take this course?
Web designers
Web developers
Product designers
Anyone with a bachelor’s degree
Anyone aspiring to pursue UX UI Design

✅ Key Features - (Course Features)
👉🏼50+ Live sessions across 6 months
👉🏼250 Hrs of Applied Learning
👉🏼30+ Industry Projects & Case Studies
👉🏼Learn from IIT Faculty & Industry Practitioners
👉🏼Top 2 performers per batch will receive INR 80,000 in fellowship*
👉🏼Up to INR 50 lakhs startup Incubation Support*
👉🏼24*7 Support
👉🏼1:1 Mock Interview

➡ What’s Covered in This Program? -
What’s Covered in This Program? -
✅ PART - 1 Introduction to UI/UX Design, design process, and user research
✅ PART - 2 Fundamentals of UI and UX design and how to Apply them
✅ PART - 3 Polishing your UI/UX Design and Learning about the UX Industry
✅ PART - 4 Getting Industry Ready

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🚀 Intellipaat Advanced Certifications
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🌕 Advanced Certification in Data Science: https://intellipaat.com/advanc....ed-certification-dat
🌕 Advanced Certification in Full Stack Web Development: https://intellipaat.com/web-de....velopment-certificat
🌕 Advanced Certification in UI UX Design: https://intellipaat.com/UI-UX-....course-iitm-pravarta

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🔥Enroll for the Artificial Intelligence Course Certification: https://intellipaat.com/artifi....cial-intelligence-de

#ArtificialIntelligenceCourse2024 #AITutorialForBeginners #AIFullCourse #Intellipaat

This Artificial Intelligence Course 2024 covers all the important skill sets required to get you an AI Engineer!

In this Artificial Intelligence Course 2024, we will cover Introduction to Artificial Intelligence, Introduction to Keras, TensorFlow, and Data Handling with NumPy. Then we will into Neural Networks, Multi-layered Neural Networks, and Artificial Neural Networks. Later, we will also dive into the Introduction to Deep Learning, Deep Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, and GPU in Deep Learning. Then we will conclude this AI Tutorial For Beginners with Artificial Intelligence Interview Questions

This Artificial Intelligence Course suits those who aspire to become AI Engineers

🔵 Following topics are covered in this Artificial Intelligence Course 2024
00:00:00 - Introduction to Artificial Intelligence Course
00:02:50 - What is Artificial Intelligence
00:06:41 - Why Artificial Intelligence
00:57:34 - Machine Learning Types
01:09:00 - Introduction to Deep Learning
02:51:03 - Benefits of Using Artificial Neural Network
02:56:17 - Deep Learning Frameworks
03:09:21 - Data Handling with NumPy
03:31:33 - Introduction to TensorFlow
05:42:50 - Understanding Epoch
06:11:05 - Introduction to Keras
07:06:11 - Predefined Neural Network Layers
09:09:16 - Problem With a Fully Connected Network
09:19:23 - Convolutional Neural Network
10:42:25 - Rectified Linear Units
11:16:04 - Artificial Intelligence Interview Questions

✅ How can I learn a full Artificial Intelligence Course?
For artificial intelligence, you should study:
Computer Science: Get fundamentals right.
Programming Language: learn Python or Java, for implementing AI algorithms.
Mathematics: Especially statistics, probability, and calculus.
Machine Learning: Understanding how machines learn from data is critical.

✅Is the Artificial Intelligence Course worth learning in 2024?
The increasing demand for AI professionals, the potential for career growth, and the problem-solving capabilities it offers make AI a valuable skill set to acquire

➡ About the Course
The artificial intelligence course is in collaboration with IITM Pravartak. This AI course helps you master AI and machine learning (ML) skills like data science, CNN, perceptron, TensorFlow, neural networks, NLP, etc. via hands-on projects. Learn AI from the IIT Madras faculty. Enroll now in the AI online course certification to become a certified artificial intelligence engineer.

➡Who should take this Artificial Intelligence Course?
Professionals working in analytics, data science, e-commerce, search engines, etc.
Software professionals and new graduates seeking a career change

✅ Key Features - (Course Features)
👉🏼50+ Live sessions across 7 months
👉🏼218 Hrs Self-paced Videos
👉🏼200 Hrs Project & Exercises
👉🏼Learn from IIT Madras Faculty and Industry Practitioners
👉🏼1:1 with Industry Mentors
👉🏼Resume Preparation and LinkedIn Profile Review
👉🏼24*7 Support
👉🏼No-cost EMI Option

➡ What’s Covered in This Program? -
✅ Preparatory Session - Linux and Python
✅Data Wrangling with SQL
✅Python With Data Science
✅Linear Algebra and Advanced Statistics
✅Machine Learning
✅Supervised and Unsupervised Learning in ML
✅Performance Metrics
✅Deep Learning Using TensorFlow
✅Data Science Capstone Project
✅Business Case Studies

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🌕 Advanced Certification in UI UX Design: https://intellipaat.com/UI-UX-....course-iitm-pravarta
🌕 Advanced Certification in Electric Vehicle Design: https://intellipaat.com/advanc....ed-certificate-elect

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Correction: At 30:42 I write "X = Y". They're not equal, what I meant to say is "X and Y are identically distributed".

The variance is a measure of how spread out a distribution is. In order to estimate the variance, one takes a sample of n points from the distribution, and calculate the average square deviation from the mean.
However, this doesn't give a good estimate of the variance of the distribution. The best estimate, however, is obtained when dividing by n-1 instead of n.
WHY!?!?!?!?!?!?!?
In this video, we dig deeper into why the variance calculation should be divided by n-1 instead of by n. For this, we use an alternate definition of the variance, which doesn't use the mean in its calculation.

*[0:00] Introduction and Bessel's Correction*
- Introducing Bessel's Correction and why we divide by \( n-1 \) instead of \( n \) to estimate variance.

*[0:12] Introduction to Variance Calculation*
- Explaining the premise of calculating variance and introducing the concept of estimating variance using a sample instead of the entire population.

*[1:01] Definition of Variance*
- Defining variance as a measure of how much values deviate from the mean and outlining the basic steps of variance calculation.

*[1:52] Introduction to Bessel's Correction*
- Discussing why we divide by \( n-1 \) when calculating variance and introducing Bessel's Correction.

*[2:35] Challenges of Bessel's Correction*
- Sharing personal challenges in understanding the rationale behind Bessel's Correction and discussing my research process on the topic.

*[3:20] Alternative Definition of Variance*
- Presenting an alternative definition of variance to aid in understanding Bessel's Correction and expressing curiosity about its presence in the literature.

*[4:45] Quick Recap of Mean and Variance*
- Briefly revisiting the concepts of mean and variance, demonstrating how they are calculated with examples, and explaining how variance reflects different distributions.

*[7:05] Sample Mean and Variance Estimation*
- Explaining the challenges of estimating the mean and variance of a distribution using a sample and discussing why sample variance is not a good estimate.

*[8:49] Bessel's Correction and Why \( n-1 \) is Used*
- Explaining how Bessel's Correction provides a better estimate of variance and why we divide by \( n-1 \) instead of \( n \). Emphasizing the importance of making a correct variance estimate.

*[10:51] Why Better Estimation Matters?*
- Discussing why the original estimate is poor and why making a better estimate is crucial. Explaining the significance of sample mean as a good estimate.

*[13:02] Issues with Variance Estimation*
- Illustrating the problems with variance estimation and demonstrating with examples why using the correct mean is essential for accurate estimates. Explaining the accuracy of estimates made using \( n-1 \).

*[15:04] Introduction to Correcting the Estimate*
- Discussing the underestimated variance and the need for correction in estimation.

*[15:57] Adjusting the Variance Formula*
- Explaining the adjustment in the variance formula by changing the denominator from \( n \) to \( n - 1 \).

*[16:22] Calculation Illustration*
- Demonstrating the calculation process of variance with the adjusted formula using examples.

*[16:57] Better Estimate with Bessel's Correction*
- Discussing how the corrected estimate provides a more accurate variance estimation.

*[18:24] New Method for Variance Calculation*
- Introducing a new method for calculating variance without explicitly calculating the mean.

*[20:06] Understanding the Relation between Variance and Variance*
- Explaining the relationship between variance and variance, and how they are related mathematically.

*[21:52] Demonstrating a Bad Calculation*
- Illustrating a flawed method for calculating variance and explaining the need for correction.

*[23:37] The Role of Bessel's Correction*
- Explaining why removing unnecessary zeros in variance calculation leads to better estimates, equivalent to Bessel's Correction.

*[25:08] Summary of Estimation Methods*
- Summarizing the difference between the flawed and corrected estimation methods for variance.

*[26:02] Importance of Bessel's Correction*
- Emphasizing the significance of Bessel's Correction for accurate variance estimation, especially with smaller sample sizes.

*[30:19] Mathematical Proof of Variance Relationship*
- Providing two proofs of the relationship between variance and variance, highlighting their equivalence.

*[35:24] Acknowledgments and Conclusion*

Thanks @mkan543 for the summary!

Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML
40% discount code: serranoyt

A friendly explanation of how computer recognize images, based on Convolutional Neural Networks.
All the math required is knowing how to add and subtract 1's. (Bonus if you know calculus, but not needed.)
For a brush up on Neural Networks, check out this video: https://www.youtube.com/watch?v=BR9h47Jtqyw

For a code implementation, check out this repo:
https://github.com/luisguiserr....ano/manning/tree/mas

0:00 Introduction
0:22 Simple World
1:05 Keyboard
1:33 Image recognition software
4:39 Image Recognition Classifier
6:12 Artificial Intelligence
8:47 Gradient Descent
10:26 Slightly More Complex World
11:47 Previous Knowledge
24:27 Convolutional Neural Network
28:27 Advanced World

Building a research multi agent system → https://goo.gle/41TYswp
Agent starter pack → https://goo.gle/4iZiz35
Human-in-the-Loop LangGraph app → https://goo.gle/4iyii7h

What is agentic AI and how can developers apply agentic AI in their applications? Welcome back to season 2 of Real Terms for AI with Googlers Aja Hammerly and Jason Davenport. In this video, Aja and Jason discuss agentic workflows, how agents are different from workflows, and when to use an agentic workflow. Follow along with code snippets in the Github link and help implement these concepts in many use cases.

Chapters:
0:00 - Intro
0:43 - What does agentic mean?
2:08 - Agentic workflow examples
3:28 - When to use agentic workflow or AI agent
4:33 - Wrap up

Watch more Real Terms for AI → https://goo.gle/AIwordsExplained
Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech

#GoogleCloud #GenerativeAI

Speakers: Aja Hammerly, Jason Davenport
Products Mentioned: Gemini, Gemma