15 tips from a Toptal freelance data scientist Already a freelance professional, but not happy with how it’s been going? Love taking in new challenges? Ready to earn more? If you answered “Yes” to all the above, you’ve come to the right place. If you are not a freelancer yet but wanna become one, read …
Are you a freelancer? Then freelance with the best. 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 …
Ready to build your first agent using parametric q learning? Credits for this beautiful picture go to Yogendra Singh ❤️ Welcome to my reinforcement learning course ❤️ This is part 4 of the Hands-on Course on Reinforcement Learning, which takes you from zero to HERO 🦸♂️. Introduction to Reinforcement Learning Tabular Q-learning Tabular SARSA Parameteric Q learning (today) …
Parametric q learning – hands-on RL course – part 4 Read More »
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 »
Q-learning (by Chris Walkins 🧠 and Peter Dayan 🧠) is an algorithm to find the optimal q-value function. It is a fundamental algorithm, that lies behind the impressive achievements of RL In the last 10 years. Venice’s taxis 👆 by Helena Jankovičová Kováčová from Pexels 🙏 Welcome to my reinforcement learning course ❤️ This is part 2 of my hands-on course on reinforcement …
Welcome to my reinforcement learning course! ❤️ Let’s walk this beautiful path from the fundamentals to cutting edge reinforcement learning (RL), step-by-step, with coding examples and tutorials in Python, together! This first part covers the bare minimum concept and theory you need to embark on this journey. Then, in each following chapter, we will solve …
Wanna learn with me? 📜 Reinforcement learning is a powerful framework and a family of algorithms you can use to solve many real-world problems. Many call it the third big subdiscipline in ML, together with supervised ML and unsupervised ML. It is actually a well-matured field, that recently got a breed of fresh air coming …
When you create machine learning models in the real world, as opposed to online courses or Kaggle-style competitions, you need to generate the training data yourself. This is the first step in any ML project. And as crucial as it is, it is the one we overlook the most. As a freelance ML engineer, I …
How to generate training data: faster and better Read More »
How many times have you taken yet another online course on machine learning, to finally master the subject? Or read yet another paper on a new emerging topic, to be up-to-date in this crazy fast-paced AI/ML world? Did that really help? In my case, it never did. After all those courses and papers I kept …
You want to become a professional machine learning engineer? Tempted to take (yet another) online course on ML to land that first job? Online courses on Machine Learning and Kaggle-style competitions are great resources to learn the fundamentals of machine learning. However, the daily job of a machine learning engineer requires an additional layer of …
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