AWS DeepRacer: The fun way of Learning Reinforcement Learning. Learn the fundamentals of machine learning and reinforcement learning in a fun and engaging way through autonomous driving with AWS DeepRacer.
Recently, I joined a Bootcamp that will start my journey in learning about reinforcement learning (RL). This Bootcamp is held by Amazon Web Service (AWS) and Jakarta Machine Learning (JML). We will be mentored and guided by the AWS experienced representatives from AWS to learn and apply the reinforcement learning concept for the next three months.
This is gonna be an exciting journey, as we are gonna learn about reinforcement learning the fun way using AWS DeepRacer and bring you with us!
Let’s begin with understanding what AWS DeepRacer is. DeepRacer is one of AWS initiatives on bringing reinforcement learning in the hands of every developer. This initiative brings a fun way to learn machine learning, especially RL, using an autonomous racing car, a 3D online racing simulator to build your model, and competition to race.
AWS DeepRacer Evo is a 1/18th scale autonomous racing car driven by reinforcement learning. This car comes with left and right forward-facing cameras that make up stereo cameras. The stereo cameras can help the vehicle learn depth information in images that can be used to sense and avoid objects being approached on the track. This car also has a LiDAR sensor that is backward-facing to detects objects behind and beside the vehicle. The combination of both stereo cameras and LiDAR sensor enable object avoidance and head-to-head racing.
Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant
Learning is a new fun in the field of Machine Learning and Data Science. In this article, we’ll be discussing 15 machine learning and data science projects.
This post will help you in finding different websites where you can easily get free Datasets to practice and develop projects in Data Science and Machine Learning.
Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments. Our latest survey report suggests that as the overall Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments, data scientists and AI practitioners should be aware of the skills and tools that the broader community is working on. A good grip in these skills will further help data science enthusiasts to get the best jobs that various industries in their data science functions are offering.
Machine Learning Pipelines performs a complete workflow with an ordered sequence of the process involved in a Machine Learning task. The Pipelines can also