Machine Learning

MIT Free Course on Machine Learning (New)

In this post, the information regarding new free course on machine learning launched by MIT OpenCoursewareIn case, you are a beginner data scientist or ML Engineer, you will find this course to be very useful. 

Here is the URL to the free course on machine learning: https://bit.​ly/37iNNAA.

This course, titled as Introduction to Machine Learning, introduces principles, algorithms, and applications of machine learning from the point of view of modeling and prediction. It includes formulation of learning problems and concepts of representation, over-fitting, and generalization. These concepts are exercised in supervised learning and reinforcement learning, with applications to images and to temporal sequences.

Here are some of the key topics for which lectures can be found:

  • Introduction to machine learning (ML)
  • Features of ML models
  • Linear models such as regression, logistic regression
  • Decision trees & nearest neighbors algorithm
  • Gradient descent algorithm
  • Neural networks
  • Convolutional neural networks (CNN)
  • Recurrent neural networks (RNN)
  • State machines & Markov decision processes
  • Reinforcement learning
  • Recommender systems

Each of the lectures consists of exercises, Lab work, homework etc which can prove to be useful for learning purpose.

Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about 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. For latest updates and blogs, follow us on Twitter. I would love to connect with you on Linkedin. Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking. Check out my other blog, Revive-n-Thrive.com

Recent Posts

How to Learn Effectively: A Holistic Approach

In this fast-changing world, the ability to learn effectively is more valuable than ever. Whether…

9 hours ago

How to Choose Right Statistical Tests: Examples

Last updated: 13th May, 2024 Whether you are a researcher, data analyst, or data scientist,…

12 hours ago

Data Lakehouses Fundamentals & Examples

Last updated: 12th May, 2024 Data lakehouses are a relatively new concept in the data…

1 day ago

Machine Learning Lifecycle: Data to Deployment Example

Last updated: 12th May 2024 In this blog, we get an overview of the machine…

2 days ago

Autoencoder vs Variational Autoencoder (VAE): Differences, Example

Last updated: 12th May, 2024 In the world of generative AI models, autoencoders (AE) and…

2 days ago

Linear Regression T-test: Formula, Example

Last updated: 7th May, 2024 Linear regression is a popular statistical method used to model…

6 days ago