AI Playbook - from A16Z
Artificial Intelligence (AI) is a set of computer science techniques that, as Stanford professor Andrew Ng is fond of saying, gives your software s...
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Getting started with Machine Learning (AI)
how to get started with machine learning (artificial intelligence, AI)
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Machine Learning Guides - ML Universal Guides | Google Developers
Simple step-by-step walkthroughs to solve common machine learning problems using best practices.
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No Machine Learning in your product? Start here – The Lever – Medium
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...
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Lessons from My First Two Years of AI Research | MIT
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...
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Part 1 The basics of machine learning - regression, cost functions, and gradient descent
Machine Learning Crash Course, University of California, Berkeley, 06 Nov 2016 » Machine Learning Crash Course: Part 1: The basics of machine learn...
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Part 2 Perceptrons, logistic regression, and SVMs
Machine Learning Crash Course, University of California, Berkeley: 24 Dec 2016 » Machine Learning Crash Course: Part 2, Perceptrons, logistic regre...
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Part 4 - The Bias-Variance Dilemma The Bias Variance Dilemma
Machine Learning Crash Course, University of California, Berkeley: 13 Jul 2017 » Machine Learning Crash Course: Part 4 - The Bias-Variance Dilemma.
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Lecture 1 | Machine Learning (Stanford)
Stanford University, Published on Jul 22, 2008 Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science depar...
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Hello World - Machine Learning Recipes #1
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...
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Real world machine learning (part 1)
Jane Street blog, 2017: “Trading is a competitive business. You need great people and great technology... Machine learning (ML) at Jane Street b...
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Titanic: Machine Learning from Disaster | Kaggle
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...
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10 Lessons for Building AI-Driven Products
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...
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If Your Data Is Bad, Your Machine Learning Tools Are Useless | Harvard
Five steps to ensure higher-quality data. “Poor data quality is enemy number one to the widespread, profitable use of machine learning. While th...
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Machine Learning for Beginners: An Introduction to Neural Networks - victorzhou.com
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...
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Random Forests for Complete Beginners - victorzhou.com
The definitive guide to Random Forests and Decision Trees. Imy opinion, most Machine Learning tutorials aren’t beginner-friendly enough. Last...
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