Free Must-See Courses for Machine Learning, Deep Learning, and Data Science

In the rapidly evolving field of artificial intelligence (AI) and machine learning (ML), staying updated with the latest techniques and strategies is crucial. Fortunately, there are numerous online courses that can help you learn these topics without breaking the bank. This article outlines some of the best free resources available for aspiring data scientists, machine learning enthusiasts, and deep learning practitioners.

Popular Online Educational Platforms

Today, there are several online educational platforms that offer in-depth courses on AI and ML subjects. Some of the most popular ones include:

These platforms provide a wide range of courses covering diverse topics such as Python programming, data science, neural networks, and natural language processing. Additionally, many free courses can serve as a great starting point for your learning journey.

Free Courses for Machine Learning and Deep Learning

If you're on a budget, several free courses can kick-start your learning journey. Here are a few top picks:

Andrew Ng's Machine Learning Course on Coursera

Course Title: Machine Learning (Coursera | Stanford University)

Course Description: Initiated by Andrew Ng, a renowned online learning platform Machine Learning specialisation offers a solid introduction to the field. This course provides a systematic overview of algorithms and techniques, making it a great starting point for beginners.

Google's TensorFlow Tutorials

Course Title: TensorFlow Tutorials (Google)

Course Description: Google's TensorFlow tutorials are comprehensive and cover a wide range of topics. These tutorials are designed to help learners understand the practical applications of deep learning using TensorFlow, a popular open-source library.

Free Courses for Deep Learning by Coders

For a more hands-on and practical approach to deep learning, consider the following courses:

Deep Learning for Coders (Free 36-hour Course)

Course Title: Deep Learning for Coders - Free 36-hour Course ()

Course Description: This free course, built by Jeremy Howard, a Kaggle competition winner, is designed for coders who want to dive deep into practical deep learning techniques. The course covers a wide range of topics, including neural networks and natural language processing, and provides practical advice from experienced data scientists.

Practical Deep Learning for Coders v3

Course Title: Practical Deep Learning for Coders v3 ()

Course Description: This course, also built by Jeremy Howard, offers a top-down approach to practical deep learning. It provides a quick introduction to the latest techniques and strategies, making it ideal for those who want to see practical results from the very beginning.

Depth Courses for Machine Learning and Deep Learning

If you're looking for in-depth knowledge on machine learning or deep learning, the following courses are highly recommended:

Deep Learning Specialisation (Coursera)

Course Title: Deep Learning (Coursera | Andrew Ng, Stanford University)

Course Description: This specialization, initiated by Andrew Ng from Stanford University, provides a solid foundation in deep learning. It covers a wide range of topics, including neural networks, and is designed to be both in-depth and quick to complete.

CS231n: Convolutional Neural Networks for Visual Recognition

Course Title: CS231n: Convolutional Neural Networks for Visual Recognition (Stanford University)

Course Description: This course, offered on Stanford's website, focuses on convolutional neural networks (CNNs) and their applications in visual recognition. It is an excellent resource for those interested in the technical details of deep learning algorithms.

CS224N: Natural Language Processing with Deep Learning

Course Title: CS224N: Natural Language Processing with Deep Learning (Stanford University)

Course Description: This course, also from Stanford University, covers natural language processing (NLP) using deep learning techniques. It is a great resource for those who want to understand how to apply deep learning to text data.

A Bit Out of Topic: Artificial Intelligence Course

For those with a broader interest in AI, consider the following course:

Artificial Intelligence (MIT)

Course Title: Artificial Intelligence (MIT)

Course Description: This course, taught by Prof. Patrick Winston, covers a wide range of AI ideas, including machine learning and deep learning. Although the course is not solely focused on ML and DL, it provides a solid background in AI concepts, which can be beneficial for anyone interested in the field.

By exploring these resources, you can kick-start your journey towards becoming a certified machine learning or deep learning expert. So, put your learning cap on and dive into these courses today!