Even the most advanced AI models have their flaws Would you say Deep Learning models have become so good, that robust AI systems are no longer a dream, but a reality? Do you think you can safely use the latest models published by researchers in any real-world problem, like self-driving cars? Or face recognition software …
Sweetviz is the way Tired of spending “too much time” doing data exploration before training your Machine Learning models? Looking for a faster way to understand data issues and patterns, before you dive into the fun part of training your ML model? Wanna learn how to train better ML models, by finding and fixing issues in …
Fast and easy data exploration for Machine Learning Read More »
From standard ML metrics to production How often do you test ML models in a Jupyter notebook, get good results, but still cannot convince your boss that the model should be used right away? Or maybe you manage to convince her and put the model in production, but you do not see any impact on …
So, you’ve done a few ML courses and feel ready to fish for your first job in the industry but still wondering what are the main skills to do ML in the real world? Working at a startup, where the pace is fast and the upside (both intellectually and financially) is high, sounds like a …
The hands-on RL course – part 7 Policy gradients are a family of powerful reinforcement learning algorithms that can solve complex control tasks. In today’s lesson, we will implement vanilla policy gradients from scratch and land on the Moon 🌗. If you are new to reinforcement learning, check the introduction to the course to get …
The Hands-on RL course intermezzo Tired of training deep learning models on your laptop, at the speed of… a turtle? 🐢 Not enthusiastic about buying an expensive GPU or optimizing cloud services bills? 💸 Wish there was a better way to do it? Luckily for you, the answer to the last question is yes. This …
Deep Learning: faster, better, and free in 3 easy steps Read More »
Ready to share your ML work with a fast and elegant ML app? If you are a data science/machine learning engineer developing projects inside a Jupyter notebook and uploading them to Github, you’ve probably noticed the world rarely finds them. And you’ve put too much into them to let them go unnoticed, haven’t you? What …
Hyperparameters in Deep RL are critical to training successful agents. In today’s lesson, we will learn how to find the ones that make you a happy Deep RL developer. Credits for this beautiful picture go to Boxed Water Is Better on Unsplash 🙏 Welcome to the course ❤️ Welcome to part 6 of the Hands-on Course on Reinforcement …
Hyperparameters in Deep RL – Hands-On RL Course – Part 6 Read More »
Ready to implement a kick-ass deep q learning agent from scratch? Let’s get deeper! 🙏 Jeremy Bishop from Pexels for this beautiful image. Welcome to my reinforcement learning course ❤️ This is part 5 of the Hands-on Course on Reinforcement Learning, which takes you from zero to HERO 🦸♂️. Introduction to Reinforcement Learning Tabular Q-learning Tabular SARSA Linear …
Welcome to my reinforcement learning course ❤️ This is part 3 of my hands-on course on reinforcement learning, which takes you from zero to HERO 🦸♂️. Today we will learn about SARSA, a powerful RL algorithm. We are still at the beginning of the journey, solving relatively easy problems. In part 2 we implemented discrete Q-learning …
hands-on reinforcement learning course – part 3 – SARSA Read More »
