Awesome AI
This is a list created by me for who wish or already studying some field of Artificial Intelligence
Machine Learning
Learn from ML experts at Google. Whether you’re just learning to code or you’re a seasoned machine learning practitioner, you’ll find information and exercises to help you develop your skills and advance your projects.
Machine Learning and Data Science Applications in Industry
A curated list of applied machine learning and data science notebooks and libraries accross different industries. The code in this repository is in Python (primarily using jupyter notebooks) unless otherwise stated. The catalogue is inspired by awesome-machine-learning.
Course
Machine Learning Full Course | Learn Machine Learning | Machine Learning Tutorial | Simplilear
This complete Machine Learning full course video covers all the topics that you need to know to become a master in the field of Machine Learning
Machine Learning Project - Part 1 | Predict House Prices in California | CloudxLab
This CloudxLab Machine Learning Project tutorial helps you to understand how to work on a Machine Learning Project end-to-end in detail.
Introduction to Machine Learning for Coders!
There are around 24 hours of lessons, and you should plan to spend around 8 hours a week for 12 weeks to complete the material. The course is based on lessons recorded at the University of San Francisco for the Masters of Science in Data Science program. We assume that you have at least one year of coding experience, and either remember what you learned in high school math, or are prepared to do some independent study to refresh your knowledge
NPL (Natural Language Processing)
nlp-tutorial - NLP(Natural Language Processing) using TensorFlow and Pytorch
Most of the models in NLP were implemented with less than 100 lines of code.(except comments or blank lines)
[Course] - A Code-First Introduction to Natural Language Processing - Fast.ai
Our newest course is a code-first introduction to NLP, following the fast.ai teaching philosophy of sharing practical code implementations and giving students a sense of the “whole game” before delving into lower-level details
Recognition
This doc focuses on the example graph that performs hand tracking with TensorFlow Lite on GPU. It is related to the hand detection example, and we recommend users to review the hand detection example first. For overall context on hand detection and hand tracking, please read this Google AI Blog post.
Examples
This repository contains example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
Books
Mathematics For Machine Learning
We are in the process of writing a book on Mathematics for Machine Learning that motivates people to learn mathematical concepts. The book is not intended to cover advanced machine learning techniques because there are already plenty of books doing this. Instead, we aim to provide the necessary mathematical skills to read those other books.