Computer Science has a great tutorial focusing on using Python for Finance.
In 2019, many large tech firms announced plans to offer financial products and services. The Wall Street Journal Liz Hoffman explains why Google, Apple, and others are offering products that might someday replace your wallet.
Kalle Hallden built a trading bot in Python and gave it $1000 to trade with.
Watch what happened.
Siraj Raval shows off examples of machine learning apps from his students.
If you’re wondering about my stance on the recent controversies around Siraj, I recorded a Data Point about that.
Machine Learning powers almost every internet service we use these days, but it’s rare to find a full pipeline example of machine learning being deployed in a web app. In this episode, I’d like to present 5 full-stack machine learning demos submitted as midterm projects from the students of my current course. The midterm assignment was to create a paid machine learning web app, and after receiving countless incredible submissions, I’ve decided to share my favorite 5 publicly. I was surprised by how many students in the course had never coded before and to see them building a full-stack web app in a few weeks was a very fulfilling experience. Use these examples as a template to help you ideate on potential business ideas to make a positive impact in the world using machine learning. And if you’d like, be sure to reach out and support each of the students I’ve demoed here today in any way can you offer. They’ve been working their butts off. Enjoy!
Presentation notebook: https://colab.research.google.com/drive/1m5aLHPnwIhVX8zgMvZUtK4iG9xSaMbk8
- Example 1 (Medicine): Dermatitis Detection
- Example 2 (Entertainment): Script Generator
- Example 3 (Finance): Price Prediction
- Example 4 (Recruiting): Resume Scanner
- Example 5 (Security): Threat Detection
Data may be the new oil, but what about using data to examine oil stockpiles?
Wall Street Journal explains how satellite imagery and AI to get an edge in the oil market.
HyperChange TV has a video about CNBC reporting that Tesla has acquired the AI computer vision startup, DeepScale.
The Mountain View company was founded in 2015 by Berkley researcher Forrest Iandola, and has raised $18.5M to date.
Likely, the company was acquired to help Tesla accelerate its autonomy ambitions.
Jim Simons was a mathematician and cryptographer who realized: the complex math he used to break codes could help explain patterns in the world of finance. Billions later, he’s working to support the next generation of math teachers and scholars.
In this video, TED’s Chris Anderson sits down with Simons to talk about his extraordinary life in numbers.