Continuing on my #100DaysOfMLCode, these are some of the courses I'm following and recommend if you are interested in learning ML and DL. One of the most stunning statistics in the area of Machine Learning (ML) was released by Tractica. According to the company, ML will grow from its $1.4 billon value as at 2016 to $59.8 billion by 2025. That is some massive growth to be recorded in just under ten years. The interesting thing is, not many are taking advantage of this market yet.

We're currently in the final phase of AI development, in which we've advanced past teaching computers to follow rules and evaluating the best solutions to problems. With a clearly defined goal and enough data to parse, AI can now learn how to arrive at a solution on its own. That's both exciting and terrifying all at once, says data scientist and YouTuber Siraj Raval on stage at TNW Conference in Amsterdam. According to him, the danger we now face in the 21st century is that governments and corporations can arm themselves with powerful AI to control societies, and we need a way to tackle that. What are we afraid of, specifically?

Greater compute power and power efficiency has made deep learning algorithms ubiquitous in our world. Deep learning has found its way into self driving cars, convenience stores and hospitals. Yet the fight for top talent in the space remains fierce and is a bottleneck for reaching new industries and solving tough challenges. To complement Udacity's previous AI courses, the online education startup is partnering with YouTube star Siraj Raval for a new deep learning nanodegree foundation program that will be co-taught with Udacity's Mat Leonard. Foundation Programs are going to be a major focus for Udacity in the coming year.