Siraj Raval gets back to inspiring people to get into AI and pokes fun at himself.
Almost exactly 4 years ago I decided to dedicate my life to helping educate the world on Artificial Intelligence. There were hardly any resources designed for absolute beginners and the field was dominated by PhDs. In 2020, thanks to the extraordinary contributions of everyone in this community, all that has changed. It’s easier than ever before to enter into this field, even without an IT background. We’ve seen brave entrepreneurs figure out how to deploy this technology to save lives (medical imaging, automated diagnosis) and accelerate Science (AlphaFold). We’ve seen algorithmic advances (deepfakes) and ethical controversies (automated surveillance) that shocked the world. The AI field is now a global, cross-cultural movement that’s not limited to academics alone. And that’s something all of us should be proud of, we’re all apart of this. I’ve packed a lot into this episode! I’ll give my annual lists of the best ML language and libraries to learn this year, how to learn ML in 2020, as well as 8 predictions about where this field is headed. I had a lot of fun making this, so I hope you enjoy it!
Krysta Svore, principal researcher at Microsoft, demonstrates the new Microsoft Quantum Development Kit.
The Quantum Development Kit makes it easy for you to start experimenting with quantum computing now and includes: · A native, quantum-focused programming language called Q# · Local and Azure-hosted simulators for you to test your Q# solution · And sample Q# code and libraries to help you get started
In this demo, she walks through a few code examples and explains where quantum principles like superposition and entanglement apply. She explains how quantum communication works using teleportation as your first “Hello World” inspired program. And keep watching to see more complex computations with molecular hydrogen.
Kalle Hallden built a trading bot in Python and gave it $1000 to trade with.
Watch what happened.
Talk about cold storage.
The GitHub Arctic Code Vault is a data repository preserved in the Arctic World Archive (AWA), a very-long-term archival facility 250 meters deep in the permafrost of an Arctic mountain. The archive is located in a decommissioned coal mine in the Svalbard archipelago, closer to the North Pole than the Arctic Circle. GitHub will capture a snapshot of every active public repository on 02/02/2020 and preserve that data in the Arctic Code Vault.
edureka! explores the up and coming programming languages you must learn to succeed in 2020.
These programming languages are predicted to create a market shift and open up a huge number of job opportunities in 2020.
Will Kwan spent 50 days to create an AI Startup, out of the project out of Y Combinator Startup School.
You can try it out here: https://omnipost.co.
I’m building a machine learning/SaaS startup. In this video, I share the results my first 50 days of full-time work, explaining my business strategy, showing the core features I designed and programmed, and summarizing what I learned from my users. I also give a overview of all the programming frameworks and API’s I used.
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
commaai archive announces a new product in this live stream.
Seytonic explores the various tools around security and pen testing.
Fascinating look at the practical aspects of info sec.