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. 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.

Recent Posts

Large Language Models (LLMs): Four Critical Modeling Stages

Large language models (LLMs) have fundamentally transformed our digital landscape, powering everything from chatbots and…

3 weeks ago

Agentic Workflow Design Patterns Explained with Examples

As Large Language Models (LLMs) evolve into autonomous agents, understanding agentic workflow design patterns has…

3 weeks ago

What is Data Strategy?

In today's data-driven business landscape, organizations are constantly seeking ways to harness the power of…

3 weeks ago

Mathematics Topics for Machine Learning Beginners

In this blog, you would get to know the essential mathematical topics you need to…

2 months ago

Questions to Ask When Thinking Like a Product Leader

This blog represents a list of questions you can ask when thinking like a product…

2 months ago

Three Approaches to Creating AI Agents: Code Examples

AI agents are autonomous systems combining three core components: a reasoning engine (powered by LLM),…

2 months ago