A step by step guide to getting into machine learning — To help me understand you fill out this survey (anonymous) As my content becomes more popular, I have more people reach out to me with a variety of questions. A common theme among them is from people looking to break into Machine Learning. More specifically, this is from people trying…

Don’t just train, but also deploy: a step-by-step guide — Building and deploying data-driven intelligent systems at scale has been of great interest lately to organizations operating in the machine learning space. …

Hint: Machine Learning is not one of them — Be sure to SUBSCRIBE here to never miss another article on data science guides, tricks and tips, life lessons, and more! When I first started learning data science, there were so many topics and techniques to learn that it often felt overwhelming to decide what to learn and in what…

Update: This article is part of a series. Check out the full series: Part 1, Part 2, Part 3, Part 4, Part 5, Part 6, Part 7 and Part 8! You can also read this article in 普通话 , 한국어, Tiếng Việt, فارسی or Русский. Giant update: I’ve written a…

I studied machine learning every day for 9-months, then got a job. How? Like this… — I quit Apple. Started a web startup, it failed. My heart wasn’t in it. I wanted to learn machine learning. It got me excited. I was going to learn it all. I wouldn’t need to program all the rules, the machine would learn it for me. But I had no…

Putting the machine learning pieces together — Reading through a data science book or taking a course, it can feel like you have the individual pieces, but don’t quite know how to put them together. Taking the next step and solving a complete machine learning problem can be daunting, but preserving and completing a first project will…

Using Machine Learning to generate Super Mario Maker levels — Update: This article is part of a series. Check out the full series: Part 1, Part 2, Part 3, Part 4, Part 5, Part 6, Part 7 and Part 8! You can also read this article in Italiano, Español, Français, Türkçe, Русский, 한국어 Português, فارسی, Tiếng Việt or 普通话. Giant…

How I went from Apple Genius to Startup Failure to Uber Driver to Machine Learning Engineer — I was working at the Apple Store and I wanted a change. To start building the tech I was servicing. I began looking into Machine Learning (ML) and Artificial Intelligence (AI). There’s so much going on. Too much. Every week it seems like Google or Facebook are releasing a new…

Update: This article is part of a series. Check out the full series: Part 1, Part 2, Part 3, Part 4, Part 5, Part 6, Part 7 and Part 8! You can also read this article in 普通话, Русский, 한국어, Português, Tiếng Việt, فارسی or Italiano. Giant update: I’ve written…

Update: This article is part of a series. Check out the full series: Part 1, Part 2, Part 3, Part 4, Part 5, Part 6, Part 7 and Part 8! You can also read this article in 普通话, Русский, 한국어, Português, Tiếng Việt, فارسی or Italiano. Giant update: I’ve written…

For the past year, we’ve compared nearly 8,800 open source Machine Learning projects to pick Top 30 (0.3% chance). This is an extremely competitive list and it carefully picks the best open source Machine Learning libraries, datasets and apps published between January and December 2017. Mybridge AI evaluates the quality…

Machine learning is complex. For newbies, starting to learn machine learning can be painful if they don’t have right resources to learn from. Most of the machine learning libraries are difficult to understand and learning curve can be a bit frustrating. I am creating a repository on Github(cheatsheets-ai) containing cheatsheets…

The Most Complete List of Best AI Cheat Sheets — Over the past few months, I have been collecting AI cheat sheets. From time to time I share them with friends and colleagues and recently I have been getting asked a lot, so I decided to organize and share the entire collection. To make things more interesting and give context…

The world’s easiest introduction to Machine Learning — Update: This article is part of a series. Check out the full series: Part 1, Part 2, Part 3, Part 4, Part 5, Part 6, Part 7 and Part 8! You can also read this article in 日本語, Português, Português (alternate), Türkçe, Français, 한국어 , العَرَبِيَّة‎‎, Español (México), Español…

This post is based on my experience of applying existing deep learning techniques in real (and rural) life situations. I’m presenting how you can apply deep learning techniques to practice and still get fun from that. The full code you can get from my Github repo.