The Best Books for Getting Started with Deep Learning: A Programming Expert‘s Guide
If you want to get up to speed with deep learning, which books should you read? Consider starting with one or more of these three!
If you want to get up to speed with deep learning, which books should you read? Consider starting with one or more of these three!
Even in the rapidly advancing age of AI, the demand for skilled software engineers is expected to grow by 25% in the next 5-6 years.
With the release of the official March Madness Results, our Programming School Machine Learning bracket was busted. Here's how it happened.
For millions of Americans, March Madness is high stakes. Here's how to use Data Science to make the best picks and improve your odds.
Eric Au's Data Science capstone project combined his two passions: Major League Baseball and Machine Learning.
Power your interview prep with AI! Here's a guide to using the newest innovations in chat assistant tools like ChatGPT for interview prep.
Learn how to utilize a hyperbolic tangent activation function for a neural network. Understand what neural networks are and what they do.
Hackonomics, Flatiron’s AI-powered budgeting hackathon, will see recent grads working together to create an AI-enhanced personal finance platform.
We just launched a portfolio of new AI training programs, designed to empower workforces with the expertise required to leverage powerful, emerging AI tools.
Software Engineers don’t just use AI chatbots in their work. Here’s an overview of how AI and ML are incorporated into software engineering.
Deep learning vs. machine learning – what are the differences and similarities between the two? Here's everything you need to know.
Here are our predictions about future trends in data science vs software engineering and how both will shape the tech industry.