What is Machine Learning? | Machine Learning Basics | Machine Learning Tutorial | Edureka




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(Data Science Certification: https://www.edureka.co/data-science-r-programming-certification-course )
This Edureka video on “What is Machine Learning” (Machine Learning Blog: https://goo.gl/fe7ykh ) gives an introduction to Machine Learning and its various types. Below are the topics covered in this tutorial:

1. Evolution of Machine Learning
2. What is Machine Learning?
3. Types of Machine Learning
4. Supervised Learning
5. Unsupervised Learning
6. Reinforcement Learning

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About the Course

Edureka’s Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you:

1. Master the Basic and Advanced Concepts of Python
2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs
3. Master the Concepts of Sequences and File operations
4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python
5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application
6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn
7. Master the concepts of MapReduce in Hadoop
8. Learn to write Complex MapReduce programs
9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python
10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics
11. Master the concepts of Web scraping in Python
12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience
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Why learn Python?

Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next “Big Thing” and a must for Professionals in the Data Analytics domain.

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Sairaam Varadarajan, Data Evangelist at Medtronic, Tempe, Arizona: “I took Big Data and Hadoop / Python course and I am planning to take Apache Mahout thus becoming the “customer of Edureka!”. Instructors are knowledge… able and interactive in teaching. The sessions are well structured with a proper content in helping us to dive into Big Data / Python. Most of the online courses are free, edureka charges a minimal amount. Its acceptable for their hard-work in tailoring – All new advanced courses and its specific usage in industry. I am confident that, no other website which have tailored the courses like Edureka. It will help for an immediate take-off in Data Science and Hadoop working.”

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Comment List

  • edureka!
    November 29, 2020

    Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka Python Machine Learning Course curriculum, Visit our Website: http://bit.ly/37q65Oc

  • edureka!
    November 29, 2020

    your voice is amazing…. well nice tutorial gr8 explanation simple and qualitative one. Thanks

  • edureka!
    November 29, 2020

    Wow thank you for this . It was very helpful .

  • edureka!
    November 29, 2020

    great sir

    loved it 💜👍✔💯

  • edureka!
    November 29, 2020

    Sir how can code for speech recognition machine learning ?

  • edureka!
    November 29, 2020

    That was really good… Ty… 😊😊😊

  • edureka!
    November 29, 2020

    Very very thank you sir, I searched many channels, but edureca is a unique one, such a simple and better explanation, mai aapka ehsaan kabhi nhi bhoolunga, i learnt so much from you😘😘😘

  • edureka!
    November 29, 2020

    Your awesome bro

  • edureka!
    November 29, 2020

    What is the difference in reinforced learning and supervised learning? Is it reinforced learning used to optimise the supervised learning algorithm?

  • edureka!
    November 29, 2020

    at 13:16, retail shopping, promting product/bundling based on previous purchase, isn't that supervised learning? because it has history with it on what he liked & what he didnt like

  • edureka!
    November 29, 2020

    great explanation. it's really helpful for me thanku sir.

  • edureka!
    November 29, 2020

    I think edureka is best for AI

  • edureka!
    November 29, 2020

    11:10 ** unsupervised learning

  • edureka!
    November 29, 2020

    Sir you have cleared my confusion differences between ai,ml,dl. And I have another thing to clear with in these three subjects which I would learn

  • edureka!
    November 29, 2020

    Good one
    Thanks 😆

  • edureka!
    November 29, 2020

    Great job sir… Thank you for your videos… And what are the algorithms used in reinforcement ML

  • edureka!
    November 29, 2020

    So..unsupervised learning doesn't use any past/prior knowledge..
    But in retail sector example where products are recommended,prior purchases are analysed??

  • edureka!
    November 29, 2020

    Wow…Such a clear explanation.Thanks.

  • edureka!
    November 29, 2020

    More examples on reinforcement learning..

  • edureka!
    November 29, 2020

    It was an honour to be here will you please tell me What’s the trade-off between bias and variance? Thankyou so much

  • edureka!
    November 29, 2020

    you said , in retail domain, system recommend the products to customer based on past purchase so this should comes under supervised learning as we have labeled data or labeld products …could you please clarify it please?

  • edureka!
    November 29, 2020

    I just want to take time to appreciate the effort you guys are putting in delivering quality content to the viewers .. I always follow your videos and suggest them to friends as well, and they're very helpful .. Edureka has helped me in shaping my career ..
    I hope you continue this effort going forward, and provide more good content ..

  • edureka!
    November 29, 2020

    Mast he vi. awesome work

  • edureka!
    November 29, 2020

    Will Dialogflow Api by google fall in the category of Reinforcement ?

  • edureka!
    November 29, 2020

    I have a doubt that , in reinforcement learning we are optimising the algorithm as per the different conditions??
    or it is something else

  • edureka!
    November 29, 2020

    Hi…can I know what is the cost to learn ML..

  • edureka!
    November 29, 2020

    Thanks man to make me clear about ml

  • edureka!
    November 29, 2020

    You told that the unsupervised type classifies or groups not on the basis of past data so how come the retailer example be in the unsupervised type??

  • edureka!
    November 29, 2020

    Need more explanation on reinforcement

  • edureka!
    November 29, 2020

    Thank you for an insightful video on machine learning. It's very informative especially for people like me who has no prior knowledge of ML.
    I have a question.
    Whether the number of clusters in unsupervised learning needs to be predefined ? or does it create new cluster if it finds any of the previous clusters are not suitable ? Is there any limit on number of clusters it can create ?

  • edureka!
    November 29, 2020

    I'm speechless, the video i was looking for. Do you guys have video on Probability and stats for Data science?

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