Top 3 Books to Kickstart Your Machine Learning Journey: The Hundred-Page Machine Learning Book; Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow; Deep Learning for Coders with Fastai and PyTorch.
The list has something for everyone — no matter if you’re on a tight schedule or have little to none machine learning experience. The books aren’t ordered in any way, so pick the one you feel most comfortable with.
Please keep in mind — below you’ll find affiliate links to my top recommended books. That doesn’t mean anything to you, as the price is identical, but I’ll get a small commission if you decide to make a purchase. I included only the books I’ve gone through personally and can guarantee 100% for the quality.
Let’s start with the first one.
Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant
In this article, I clarify the various roles of the data scientist, and how data science compares and overlaps with related fields such as machine learning, deep learning, AI, statistics, IoT, operations research, and applied mathematics.
Simple explanations of Artificial Intelligence, Machine Learning, and Deep Learning and how they’re all different
Artificial Intelligence (AI) will and is currently taking over an important role in our lives — not necessarily through intelligent robots.
Data Augmentation is a technique in Deep Learning which helps in adding value to our base dataset by adding the gathered information from various sources to improve the quality of data of an organisation.