Sudharsan Ravichandiran is a data scientist, researcher, artificial intelligence enthusiast, and YouTuber (search for Sudharsan reinforcement learning). He completed his bachelors in information technology at Anna University. His area of research focuses on practical implementations of deep learning and reinforcement learning, which includes natural language processing and computer vision. He is an open source contributor and loves answering questions on Stack Overflow. He also authored a best seller, Hands-On Reinforcement Learning with Python, published by Packt Publishing.

Writing an all-encompassing book on Python machine learning is difficult, given how expansive the field is. But reviewing one is not an easy feat either, especially when it's a highly acclaimed title such as Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, 2nd Edition. The book is a best-seller on Amazon, and the author, Aurélien Géron, is arguably one of the most talented writers on Python machine learning. And after reading Hands-on Machine Learning, I must say that Geron does not disappoint, and the second edition is an excellent resource for Python machine learning. Geron has managed to cover more topics than you'll find in most other general books on Python machine learning, including a comprehensive section on deep learning.

Udemy is one of the most popular MOOC-based e-learning platforms in the world. Udemy has a wide variety of Machine Learning courses. That's why in this article, I am going to share with you the 10 Best Udemy Courses for Machine Learning. So give your few minutes to this article and find out the Best Udemy Courses for Machine Learning. Now, without any further ado, let's get started- This is the Bestseller Course at Udemy.

Description: Deep learning is a cutting-edge form of machine learning inspired by the architecture of the human brain, but it doesn't have to be intimidating. With TensorFlow, coupled with the Keras API and Python, it's easy to train, test, and tune deep learning models without knowing advanced math. To start this Skill Path, sign up for Codecademy Pro. Description: Deep learning is the machine learning technique behind the most exciting capabilities in diverse areas like robotics, natural language processing, image recognition, and artificial intelligence, including the famous AlphaGo. In this course, you'll gain hands-on, practical knowledge of how to use deep learning with Keras 2.0, the latest version of a cutting-edge library for deep learning in Python.

Deep learning and Python are gaining huge popularity among aspiring techies as well as working professionals. Deep learning (DL) is known as a class of machine learning algorithms for feature extraction and transformation. Meanwhile, Python is one of the popular and trending programming languages across the world for developers. Thus, the combination, deep learning Python, is thriving in the global tech market in recent times with different best deep learning courses in Python. There are multiple courses on deep learning Python to gain a deep understanding of the concepts before entering a professional career.