In this video, Siraj Raval offers his advice on how to ace any programming interview.
Siraj Raval has designed an image classifier template for you to use as a learning tool.
This is an example of how machine learning can be used in a software-as-a-service context, hopefully it gives you some ideas on how to do something similar. It’s a combination of a few components including a Python web API, Flutter mobile app, and FastAI model training script.
In this episode, he explains the process of building this template and how all the components fit together.
This is the trailer for a 12 part docuseries called “AI for Humans” that the one and only Siraj Raval has been working on.
Artificial Intelligence is the most remarkable technology of our time, and it’s starting to affect every single aspect of our lives. Despite it’s massive impact, there is still so much misunderstanding about what it is, how it works, and what we can use it to do. In this series, I’ll be traveling around the world to meet extraordinary individuals using AI to empower their communities. In each episode, I’ll visit a different country to learn more about the intersection of their needs and the modern solutions that AI provides them. This is my pitch to Netflix, I’d love their help to bring AI awareness & inspiration to an even broader audience.
Tweet @netflix with a link to this video and the hashtag #AIforHumans to let them know that you’d like to see this show!
In this video, Siraj Raval demonstrates how to build a CyberSecurity startup around a demo app called DharmaSecurity, a fraud detection tool for businesses.
The way it works is that once signed up, a business will paste a code snippet into their website, and then they’ll get access to a dashboard that tells them how many fraudulent accounts they have.
Siraj Raval wrote a research paper titled “The Neural Qubit” where he describe a quantum machine learning architecture inspired by neurons in the human brain.
From the video description:
I’m pretty excited about quantum computing, it gives me a deep sense of wonder & confusion that i really enjoy. I’m so glad to be so confused (again)! I have lots more quantum machine learning papers to read in the coming weeks. In this episode, I describe the nonlinear motivations behind my paper, how i thought through the research process, and how i eventually came to some interesting results + conclusions. With the help of math, code, & manim(!) animations I’ll give it my best shot explaining some of the complex topics at the very edge of Computer Science I tackled. I hope you find it useful, enjoy!
Siraj Raval generates his own voice with AI using some cutting edge techniques.
This is a relatively new technology and people have started generating not just celebrity voices, but entire musical pieces as well. The technology to generate sounds, both voices & music, has been rapidly improving the past few years thanks to deep learning. In this episode, I’ll first demo some AI generated music. Then, i’ll explain the physics of a waveform and how DeepMind used waveform-based data to generate some pretty realistic sounds in 2016. At the end, I’ll describe the cutting edge of generative sound modeling, a paper released just 2 months ago called “MelNet”. Enjoy!
In this video, Siraj Raval explores the Millenium Problems: 7 math math problems that each have a 1 million dollar prize attached to them by the Clay Mathematics Institute.
And how AI could help you solve the problem and get some serious coin.
Siraj Raval shares his secrets for learning new skills rapidly and how he has fun in the process.
I’m going to show you a day in my life in this episode. These are the daily habits that I practice to optimize my ability to learn and thus serve you better. I consider my body an input/output machine, so in order to optimize my output (educational content), I’ve got to optimize the input (my physical/mental health). My job is to educate the public on how relatively complex technologies work, and this requires me to learn a lot really fast. I’ve learned that large gains can be made in my ability to learn just my making small gains in a few different habits. The effects compound over time, that’s how habits tend to work. You might not notice the effect of any one of these habits immediately, but put them all together and follow them with sustained enthusiasm. I promise you, eventually you’re going to start seeing results. Try it for 30 days and see for yourself. Enjoy!
It’s back to school season here in the US and Siraj Raval offers his advice on what laptops programmers (and aspiring programmers).
If you’re a programmer and looking to decide which laptop to get in 2019, I’ve developed a set of recommendations for you based on 3 different budgets! In this episode, I’ll explain my recommendations for the best laptop for programmers in the student, generalist, and professional category. Each of my picks has been judged by me on a wide variety of factors from GPU speed to keyboard comfort to cooling fan ability. These are my own picks, none of these companies paid me to promote them. I hope you find my set of recommendations useful in your journey, enjoy!