Daily Archives: March 29, 2021
Andrew Ng: Forget about building an AI-first business. Start with a mission.
An AI pioneer reflects on how companies can use machine learning to transform their operations and solve critical problems.
Andrew Ng has worn many hats in his life. You may know him as the founder of the Google Brain team or the former chief scientist at Baidu. You may also know him as your own instructor. He has taught countless students, curious listeners, and business leaders about the principles of machine learning through his wildly popular online courses.
Now in his latest venture, Landing AI, which he started in 2017, he is exploring how businesses without giant data sets to draw on can still join in the AI revolution.
On March 23, Ng joined MIT Technology Review’s virtual EmTech Digital, our annual AI event, to share the lessons he’s learned. Read More
9 Comprehensive Cheat Sheets For Data Science
Sometimes we need a short and to-the-point resource.
In this age of technology, if you ever need to find information about any topic — tech-related or not — you can head to Google, and you will find thousands of materials, articles, books, and videos about that topic. Although this easy access to information had allowed many people worldwide to learn new skills, start a new career and explore topics from the comfort of their home, sometimes the massive amount of information can be overwhelming.
When you look for something and end up with so much information, it can get frustrating and confusing because you don’t know where to start, and at the beginning, it is difficult to see the big picture. Situations like this have lead to the appearance of cheat sheets.
Cheat sheets are an amazing resource for shortcut information about a certain topic. Often, cheat sheets are useful in many ways, but mainly initially, so you can grasp the main concepts and build stones of the topic you’re searching for. In case you want to refresh your memory and go through a straightforward reminder of the topic’s basics. Read More
Building a Naive Bayes Machine Learning Model to Classify Text
A quick start guide to get you up and running with an easy yet highly relevant NLP project in Python
Natural Language Processing (NLP) is an extremely exciting field. It lies at the confluence of computer science, linguistics and artificial intelligence, and is concerned with the interaction between human language and computers. More specifically: its goal is to understand how to program computers to understand and interpret our natural language.
… Nonetheless, building models to classify natural language is relatively straightforward. It’s a cool exercise because it’s relevant. This is a very real application of ML that you could use in your own projects. Read More
Rick's Cafe AI 