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In this KNIME tutorial for beginners, you will learn the basics of KNIME, a powerful open-source data analytics tool that can help you perform data analysis, data visualization, and data mining tasks.

Throughout the tutorial, we will cover the essential steps to get started with KNIME, including installing KNIME, understanding the basic interface, importing data, performing data manipulation, and creating visualizations.

You will also learn about some of the key features of KNIME, such as the ability to perform machine learning tasks and how to use KNIME's built-in nodes and workflows to automate your data analysis processes.

Whether you are a data analyst, data scientist, or business user looking to learn about KNIME, this tutorial will provide you with the knowledge and skills needed to get started with KNIME and perform data analysis tasks.

So, join us in this KNIME tutorial for beginners and take the first step towards becoming an expert in data analysis with KNIME!


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🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py
𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐩𝐫𝐨𝐠𝐫𝐚𝐦 : https://www.edureka.co/masters....-program/data-scient
This Edureka Data Science Full Course video will help you understand and learn Data Science Algorithms in detail. This Data Science Tutorial is ideal for both beginners as well as professionals who want to master Data Science Algorithms.

Topics covered:
00:00 - Introduction
01:05:02 - Role of data scientist
01:48:19 - Data life cycle
02:41:48- Probabality
02:58:15 - Bayes's theorem
03:34:18 - Salary
03:51:32 - Regression in machine learning
05:06:38 - Decission tree algorithm
06:19:18 - KNN algorithm
06:51:40 - Naive bayes classifier
07:37:33 - Clusterring
08:05:53 - Apriori algorithm
08:27:23 - Reinforcement learning
08:48:48 - Deep learning
09:41:05 - Interview questions

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐓𝐚𝐛𝐥𝐞𝐚𝐮 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/tableau....-certification-train (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
Data Visualization using Tableau will allow one to gain an edge over the other analysts and let you present the data in a much better and insightful manner. It would be easier for the learners to immediately implement it in their workplace and create a real-time dashboard for their management using one of the most sought-after tools.

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
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🔴 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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Представьте, что обычная лампочка горит 120 лет без перерыва. Или что ваш iPhone не пора менять через пару лет на более новую модель. Теории заговора — обычно не самый вероятный, а зачастую и откровенно бредовый вариант якобы реальных, но покрытых тайной событий и мнимых подводных течений нашей жизни. Но Дерек Маллер раскрыл сразу несколько заговоров, которые, похоже, реально существовали. Всё дело было в заработке. Если точнее, огромные компании в погоне за выручкой договаривались между собой, снижали качество продукции, вынуждая клиентов снова и снова возвращаться за товаром, и придумывали, как заставить покупателей менять ещё пригодную для использования вещь на новую.

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Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

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© https://www.youtube.com/user/1veritasium
Источник: https://youtu.be/j5v8D-alAKE

Hasan reacts to a Veritasium video where he struggles to wrap his simple, math-hating brain around the physics behind how this wheel can never break because the atoms or something, idk, I didn't understand either...

Edited By: https://twitter.com/HasanReactions
Intro Animation By: https://twitter.com/HasanReactions
Outro Animation By: https://twitter.com/HasanReactions
Music Composition By: https://twitter.com/HasanReactions
(Yes, right now it's just me making everything)

Editor's Note: My edits were all made to keep the video on one, central topic by editing together relevant commentary from many parts of Hasan's streams to create a storyline that is still followable by the viewer. I also edited in commentary of my own in places, in addition to relevant external information that improves the viewing experience. A lot of edits were made for comedy purposes, or to enhance the comedic timing of certain beats, but never to misrepresent Hasan's point of view.

If you like my edits, leave a Comment, Like, and Subscribe. It helps a lot, thank you :)

Discussion Video: https://www.youtube.com/watch?v=vSNtifE0Z2Q

Unless otherwise stated, all visuals, audio, and commentary added during the editing process is created and owned by Hasan Reactions.

Find Hasan Live at: https://www.twitch.tv/hasanabi

#hasanabi #Veritasium #Science #HasanReactions #reacts

About Hasan:
Hasan Piker is Political Commentator turned Twitch Streamer (#13) known for his Turkish heritage and leftist takes, often speaking on topics like Socialism, Communism, Capitalism, and Marxism (and occasionally 9/11). He loves reacting to political news, and occasionally goes on IRL adventures with his friends. He likes to react to popular media content with his audience as well, such as Jubilee, JCS (Jim Can't Swim), Joe Rogan, Andrew Tate, Ben Shapiro, Steven Crowder, Channel 5, trending Twitter posts or TikToks, and other creative videos.

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In this video, Machine Learning in 2 minutes, we will first answer the question, What is Machine Learning? We will then talk about some Machine Learning Basics and related topics like Artificial Intelligence and Deep learning, all with the help of examples. You will learn :

00:00:00 Introduction to What is Machine Learning?
00:10 What is Machine Learning?
00:34 How does Machine Learning work?
00:53 Sub-Branches of Machine Learning

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#MachineLearning #WhatIsMachineLearning #MachineLearningBasics #MachineLearningExplained #WhatIsMachineLearningAndHowDoesItWork #MachineLearningTutorial #MachineLearningExplained #Simplilearn

What is Machine Learning?
A good start at a Machine Learning definition is that it is a core sub-area of Artificial Intelligence (AI). ML applications learn from experience (well data) like humans without direct programming. When exposed to new data, these applications learn, grow, change, and develop by themselves. In other words, with Machine Learning, computers find insightful information without being told where to look. Instead, they do this by leveraging algorithms that learn from data in an iterative process.

How Machine Learning Works?
Machine Learning is, undoubtedly, one of the most exciting subsets of Artificial Intelligence. It completes the task of learning from data with specific inputs to the machine. It’s important to understand what makes Machine Learning work and, thus, how it can be used in the future. The Machine Learning process starts with inputting training data into the selected algorithm. Training data being known or unknown data to develop the final Machine Learning algorithm.

➡️ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

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- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

✅ Skills Covered
- ChatGPT
- Generative AI
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- And Many More…

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This video on the Artificial Intelligence full course video cover all the topics you need to know to become a master in AI and ML. It covers all the basics of Machine Learning, the different types of Machine Learning, and the various applications of Machine Learning used in different industries. This video will also help us understand the basics of artificial intelligence. We will look at the future of AI and listen to some of the industry experts and learn what they have to say about AI. Finally, you will learn the Top 10 Artificial Intelligence Technologies In 2022.

✅Subscribe to our Channel to learn more about the top Technologies: https://www.youtube.com/user/Simplilearn

⏩ Check out the Artificial Intelligence tutorial videos: https://www.youtube.com/watch?v=ad79nYk2keg&list=PLEiEAq2VkUULyr_ftxpHB6DumOq1Zz2hq

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What is Artificial Intelligence?
Artificial Intelligence is a method of making a computer, a computer-controlled robot, or software think intelligently like the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. The outcome of these studies develops intelligent software and systems.

➡️ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's Job Assist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

✅ Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…

👉Learn more at: https://www.simplilearn.com/artificial-intelligence-masters-program-training-course?utm_campaign=20Feb2024LGLoopEvening2-ltwjZy_toNs&utm_medium=Description&utm_source=youtube

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In this video on Python, you will learn python classes, objects, and flow control with examples and their uses. This python series is a must-watch for everyone who wishes to learn python and make a career in it.

🔵 Watch other videos of this Python tutorial series: https://www.youtube.com/playli....st?list=PLVHgQku8Z93

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If you’ve enjoyed these Python Classes and Objects Tutorial with an example, Like us and Subscribe to our channel for more similar informative videos and free tutorials.
Got any questions on what are classes in python? Ask us in the comment section below.
----------------------------
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Day - 1 | Introduction to Generative AI

The moment we've all been eagerly waiting for is finally here! Today marks the commencement of our much-anticipated course on GENERATIVE AI. 🎉

We'll be diving into fascinating topics like LLM, LlamaIndex, Vector DB, and much more. It's your chance to embark on a comprehensive exploration of cutting-edge concepts.

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🔥Edureka*** Machine Learning Certification Training - https://www.edureka.co/machine....-learning-certificat ***

00:00 Introduction
01:10 Agenda
01:28 Why Mathematics in Machine learning
03:38 Linear Algebra
05:05 Linear ALgebra - Scalars
06:20 Linear Algebra - Vectors
11:27 Linear Algebra - Matrices
20:24 Linear Algebra - Vector as Matrix
26:11 Linear Algebra - Eigen Vectors
27:41 Linear Algebra - Applications
30:18 Multivariate Calculus

Data Science Training: https://www.edureka.co/data-sc....ience-r-programming-

This Edureka video on "Clustering Algorithms" will help you understand the various aspects of clustering using K Means in Python.

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#Edureka #DataScienceEdureka #kmeans #clusteranalysis #clustering #datascience #machinelearning #learnDataScience #withMe
- - - - - - - - - - - - - - - - -
About the Course

Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities.

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Why Learn Data Science?

Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework.

After the completion of the Data Science course, you should be able to:
1. Gain insight into the 'Roles' played by a Data Scientist
2. Analyse Big Data using R, Hadoop and Machine Learning
3. Understand the Data Analysis Life Cycle
4. Work with different data formats like XML, CSV and SAS, SPSS, etc.
5. Learn tools and techniques for data transformation
6. Understand Data Mining techniques and their implementation
7. Analyse data using machine learning algorithms in R
8. Work with Hadoop Mappers and Reducers to analyze data
9. Implement various Machine Learning Algorithms in Apache Mahout
10. Gain insight into data visualization and optimization techniques
11. Explore the parallel processing feature in R

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Who should go for this course?

The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course:

1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts
3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics
4. Business Analysts who want to understand Machine Learning (ML) Techniques
5. Information Architects who want to gain expertise in Predictive Analytics
6. 'R' professionals who want to captivate and analyze Big Data
7. Hadoop Professionals who want to learn R and ML techniques
8. Analysts wanting to understand Data Science methodologies.

For online Data Science training write to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free).

🔥Machine Learning Training with Python: https://www.edureka.co/machine....-learning-certificat
This Edureka video on the " Machine Learning Road Map" will help you understand what steps you need to take to become a Machine Learning Engineer. You will also learn what tools to learn and explore different case studies for the same. Following pointers are covered in this video on Machine Learning Roadmap in 2021:
00:00:00 Introduction To Machine Learning
00:06:00 Machine Learning Road Map
00:08:16 Tools For Machine Learning
00:10:46 Case Studies
00:11:12 Carrier Opportunities

🔹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 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
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 have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!

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

How does it work?

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 with a Grade and a Verifiable Certificate!

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About the Course

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 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 modelling
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

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Why learn Machine Learning with Python?

Data Science is a set of techniques that enables the computers to learn the desired behaviour 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 [email protected] or call us at IND: 9606058406 / US: 18338555775

🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐌𝐚𝐬𝐭𝐞𝐫 𝐏𝐫𝐨𝐠𝐫𝐚𝐦: https://www.edureka.co/masters....-program/machine-lea (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka tutorial explains the 𝐅𝐞𝐚𝐭𝐮𝐫𝐞 𝐒𝐞𝐥𝐞𝐜𝐭𝐢𝐨𝐧 𝐢𝐧 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, Various techniques used for feature selection like filter methods, wrapper methods. Embedded methods along with practical examples in Python. Explore the feature selection statistics and advantages and disadvantages of feature selection.
We will be covering the following topics in this video:
00:00:00 - Introduction
00:00:52 - Need for Feature Selection
00:02:15 - What is Feature Selection?
00:02:51 - Importance of Feature Selection
00:03:32 - Feature Selection Statistics
00:04:52 - Various Techniques
00:05:28 - Filter Method with Hands-on
00:10:20 - Wrapper Method with Hands-on
00:14:22 - Embedded Method with Hands-on
00:17:48- Advantages of Feature Selection
00:18:27 - Disadvantages of Feature Selection
📝Feel free to comment your doubts in the comment section below, and we will be happy to answer📝

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

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--------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝗼𝘀𝘁 𝗚𝗿𝗮𝗱𝘂𝗮𝘁𝗲 𝐂𝐨𝐮𝐫𝐬𝐞𝐬--------
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⏩𝐓𝐨𝐩 𝟏𝟎 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟮: https://bit.ly/3yhEs7S
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About the Machine Learning with Python Training
Edureka’s Machine Learning Certification Training using Python is designed to make you grab the concepts of Machine Learning. This Machine Learning Certification 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, in this Machine Learning with Python Training, 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 this Machine Learning online course, we will be discussing various practical use cases of Machine Learning with Python programming language to enhance your learning experience. Edureka offers the best Machine Learning Training online for those who want to be the best in Python. Enroll now with Edureka's online Machine Learning Certification to get trained with industrial experts.

🔥 Data Science Master Program: https://www.edureka.co/masters....-program/data-scient
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!

Check our complete Data Science playlist here: https://bit.ly/2KEEFdf
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#Edureka #MachineLearningAlgorithms #Datasciencetutorial #Datasciencecourse #datascience
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How it Works?

1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project
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. You will get Lifetime Access to the recordings in the LMS.
4. 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

Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities.

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Why Learn Data Science?

Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework.

After the completion of the Data Science course, you should be able to:
1. Gain insight into the 'Roles' played by a Data Scientist
2. Analyse Big Data using R, Hadoop and Machine Learning
3. Understand the Data Analysis Life Cycle
4. Work with different data formats like XML, CSV and SAS, SPSS, etc.
5. Learn tools and techniques for data transformation
6. Understand Data Mining techniques and their implementation
7. Analyse data using machine learning algorithms in R
8. Work with Hadoop Mappers and Reducers to analyze data
9. Implement various Machine Learning Algorithms in Apache Mahout
10. Gain insight into data visualization and optimization techniques
11. Explore the parallel processing feature in R

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Who should go for this course?

The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course:

1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts
3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics
4. Business Analysts who want to understand Machine Learning (ML) Techniques
5. Information Architects who want to gain expertise in Predictive Analytics
6. 'R' professionals who want to captivate and analyze Big Data
7. Hadoop Professionals who want to learn R and ML techniques
8. Analysts wanting to understand Data Science methodologies

For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free).

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Customer Reviews:

Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. "

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This video on What is Machine Learning will make you understand the basics of Machine Learning and how Machine Learning works. By the end of this tutorial, you will be able to understand the different types of Machine Learning algorithms and some of the breakthroughs in the Machine Learning field. You will also learn what machine learning has to offer in terms of career opportunities in this machine learning tutorial.

This Machine Learning tutorial video will cover the following topics:

00:00 - 00:55 Real-life applications of Machine Learning
00:55 - 01:56 Challenges before Machine Learning
01:56 - 02:41 How did Machine Learning evolve?
02:41 - 03:48 Why Machine Learning / Machine Learning benefits
03:48 - 04:48 What is Machine Learning?
04:48 - 05:22 Types of Machine Learning
05:22 - 08:44 Machine Learning algorithms
08:44 - 12:57 Breakthroughs in Machine Learning
12:57 - 14:38 Machine Learning future
14:30 - 15:26 Machine Learning career
15:26 - 17:10 Machine Learning job trends

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What is Machine Learning?
Machine Learning is a method that enables computers to imitate and adapt human-like behaviour, just like you and me. It isn’t programmed to perform a task. It analyses the data it has received previously, learns from it, and makes predictions or decisions for the problem scenario. In a way, the computer is training itself to perform a task the right way, after it learns everything it can from the data.

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➡️ About Post Graduate Program In AI And Machine Learning

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

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This video on the Artificial Intelligence full course video cover all the topics you need to know to become a master in AI and ML. It covers all the basics of Machine Learning, the different types of Machine Learning, and the various applications of Machine Learning used in different industries. This video will also help us understand the basics of artificial intelligence. We will look at the future of AI and listen to some of the industry experts and learn what they have to say about AI. Finally, you will learn the Top 10 Artificial Intelligence Technologies In 2022.

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What is Artificial Intelligence?
Artificial Intelligence is a method of making a computer, a computer-controlled robot, or software think intelligently like the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. The outcome of these studies develops intelligent software and systems.

➡️ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's Job Assist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

✅ Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…

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