Getting started with Machine Learning (AI)

Artificial Intelligence (AI) is a set of computer science techniques that, as Stanford professor Andrew Ng is fond of saying, gives your software s... (2018)

Simple step-by-step walkthroughs to solve common machine learning problems using best practices. (2018)

In the machine learning (ML) era, leveling up your Product Management team with some ML knowledge and skills is more vital than ever, and you might... (2018)

Tom Silver's personal website. "A friend of mine who is about to start a career in artificial intelligence research recently asked what I wish I... (2018)

Machine Learning Crash Course, University of California, Berkeley, 06 Nov 2016 » Machine Learning Crash Course: Part 1: The basics of machine learn... (2017)

Machine Learning Crash Course, University of California, Berkeley: 24 Dec 2016 » Machine Learning Crash Course: Part 2, Perceptrons, logistic regre... (2017)

Machine Learning Crash Course, University of California, Berkeley: 13 Jul 2017 » Machine Learning Crash Course: Part 4 - The Bias-Variance Dilemma. (2017)

Stanford University, Published on Jul 22, 2008 Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science depar... (2017)

Google Developers: Published on Mar 30, 2016 Six lines of Python is all it takes to write your first machine learning program! In this episode, we... (2017)

by Udara Jay, "For the past two years or so I've had an on-again, off-again fascination with machine learning. As with most things you learn, I've... (2017)

Jane Street blog, 2017: “Trading is a competitive business. You need great people and great technology... Machine learning (ML) at Jane Street b... (2017)

Start here! Predict survival on the Titanic and get familiar with ML basics In this challenge, we ask you to complete the analysis of what sorts... (2017)

To successfully deliver a product using AI, a Product Manager needs a new mindset and a few additional skills in addition to those required for a r... (2018)

Five steps to ensure higher-quality data. “Poor data quality is enemy number one to the widespread, profitable use of machine learning. While th... (2018)

A simple explanation of how they work and how to implement one from scratch in Python. Here’s something that might surprise you: neural networks... (2019)

The definitive guide to Random Forests and Decision Trees. Imy opinion, most Machine Learning tutorials aren’t beginner-friendly enough. Last... (2019)