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A data-driven approach to analyzing athletics peak performance
My passion for running and track and field has always tried to accompany me during the different phases of my life. I used to run for fun when I was a child and to compete in school races during my high-school years. It was only during my college years that running took a pause from my life while my curiosity about data science progressively took… Read more Continue reading A data-driven approach to analyzing athletics peak performance
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Train hard and recover harder: why you should take a recovery week
You might believe that the optimal strategy for training for a marathon or other target race is to hit your peak mileage and maintain it for several weeks. By doing this, you’ll make sure to get the most out of your fitness and prepare well for your target race, right? Maybe not. It may have happened that after a period of heavy training load you… Read more Continue reading Train hard and recover harder: why you should take a recovery week
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Challenging the memory of RL agents
Reinforcement learning agents are usually trained to maximize their rewards by taking actions in an environment following a Markov Decision Process (MDP). A Markov Decision Process is simply a model that defines the state of an environment by its current state, actions, and rewards, including also its possible future states. The key point is that agents know information from the present and can approximately predict… Read more Continue reading Challenging the memory of RL agents
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Exploring Transformer Model for Reinforcement Learning
MLP is widely used in RL to implement a learnable agent in a certain environment trained according to a specific algorithm. Recent works in NLP have already proved that Transformer can replace and outperform MLP in most tasks leading to expanding its utilization in areas outside of NLP such as Computer Vision. However, in RL the Transformer architecture is still not widely adopted, and agents… Read more Continue reading Exploring Transformer Model for Reinforcement Learning
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A scientific perspective of legs strength training for distance running
It is well known that strength training for distance runners provides a number of benefits that should be taken into consideration by both novel and more experienced runners. Primarily, strength training increases your strength and power, which will have a direct impact on your running performance. It also increases your running economy, which means you’ll be able to run faster with the same effort. Finally,… Read more Continue reading A scientific perspective of legs strength training for distance running
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GPX Files Distance Modifier: Don’t lose your progress
👉 Has it ever happened that your watch stopped or had ant malfunction during your workout, thus losing part of your activity? Or has it happened that due to a bad GPS signal your watch recorded a shorter distance than your actual one? 🤔 👉 Imagine that, after a maximal effort, you have just broken your 10km PB but your watch only recorded 9.8km, thus… Read more Continue reading GPX Files Distance Modifier: Don’t lose your progress
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The manual of the Elite runner: a review of the state-of-the-art training characteristics
In this post, we are going to review and analyze the training habits and training principles of some Elite World-class long-distance runners. Our goal is to understand what makes those athletes reach such high-performance levels by combining scientific literature and practice-based proven results. Most of the content comes from the paper: The Training Characteristics of World-Class Distance Runners: An Integration of Scientific Literature and Results-Proven… Read more Continue reading The manual of the Elite runner: a review of the state-of-the-art training characteristics
KejiTech
Falling in love with data and machine learning in the simplest and funniest way. A website that no data scientist should miss, but also open to everyone eager to explore something new.
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