Machine Learning – Bookmarks for Great Tutorials, Books & Videos

This article represents quick bookmarks on some good machine learning web pages including tutorials’ documents and videos. Please feel free to comment/suggest if you know of further good bookmarks. I shall be adding more bookmarks in time to come. Also, sorry for the typos.

Following are the key bookmarks:

  • List of Tutorial Pages on Different Machine Learning Topics: You shall surely want to bookmark this page as it consists of some real cool links covering different topics in machine learning.
  • List of Machine Learning Books: Those looking out for machine learning books to get started would want to bookmark this page which consists of list of some great books recommended by one of the ML experts namely Mike Jordan. Some of my favorites are following:
    • “Pattern Recognition and Machine Learning” by Christopher M. Bishop
    • “The Elements of Statistical Learning” by T. Hastie
  • Advanced topics in Machine Learning: This page covers some of the advanced topics in machine learning such as some of the following:
    • Large scale data analysis
    • Deep learning
    • Recommender System
    • Kernel Machines
    • Optimization techniques
  • Selection of Cool Machine Learning Videos: This page presents a selection of some cool videos in a well-laid out manner, topic-wise:
    • Introduction to Machine Learning & Key Concepts
    • Statistical Learning
    • Linear Regression
    • Classification
    • Resampling Methods
    • Linear Model Selection and Regularization
    • Multi-variate (Non-linear) Regression
    • Tree-Based Methods
    • Support Vector Machines
    • Unsupervised Learning
Ajitesh Kumar
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Ajitesh Kumar

I have been recently working in the area of Data Science and Machine Learning / Deep Learning. In addition, I am also passionate about various different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia etc and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data etc. I would love to connect with you on Linkedin.
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