In this follow up video to “How To Build An AI Startup With PyTorch,” the great Siraj Raval explores how to make money with TensorFlow 2.0.

From the video description:

I’ve built an app called NeuralFund that uses Tensorflow 2.0 to make automated investment decisions. I used Tensorflow 2.0 to train a transformer network on time series data that i downloaded using the Yahoo Finance API. Then, I used Tensorflow Serving + Flask to create a simple web app around it. I’ll explain what the important parts you should know in Tensorflow 2.0 are, then I’ll guide you through my code & thought process of building an AI startup using it. Enjoy!

By the way, the code for this video is available on GitHub.

While Uber is known as one of the pioneers in self-driving vehicels, its autonomous vehicle division has been a source of contention for investors. TechCrunch recently reported numbers that were less than flattering : The ride-hailing company was spending $20 million a month on developing self-driving technologies.The Wall Street Journal estimates that Uber spent about $750 million on building out self-driving technologies before scaling back in 2018.

However, all is not bleak: Uber ’s autonomous vehicle unit may be about to get a massive ($1 billion+) cash injection?

It’s highly possible, according to news reports indicating a group of investors including SoftBank Group is putting money into the division. The Wall Street Journal reported last night that Uber, more formally known as Uber Technologies Inc., was in “late-stage” discussions with a consortium that would invest in the startup’s self-driving vehicle division.

Siraj Raval breaks down 7 ways that anyone can earn money from anywhere in the world using machine learning. We”ll start by taking a look at whats called the “AI Value Chain” to learn who is currently making money in machine learning so that we can better chart out where we can contribute to the space. From startups, to competitions, to writing books, he covers a lot of material in this one video.