We are living in a new age of widespread remote, online learning. Whether it's homeschool parents turning to online resources to help plan lessons, new families looking for activities for their housebound kids over the summer, or high schoolers looking for additional test prep help, the internet is becoming a virtual classroom for a growing number of kids. And the good news is, the quality of online learning platforms has only grown to meet this demand. Some offer games that teach young children in a fun, engaging way that barely feels like school, while others offer in-depth curriculums in foreign languages for students whose parents only speak one language. So what should you look for when searching for a good online learning platform?

In the process of learning to code, people learn many other things. They are not just learning to code, they are coding to learn,

TL;DR: Create training modules for your employees with the Coassemble Learning Management System, on sale for $89.99 as of March 25. If you're looking for a way to bolster the continuous learning environment at your company, turn to the Coassemble Learning Management System. Great for founders, managers, and HR professionals, this LMS lets you create engaging courses for your employees and share in-house business knowledge with your team, all from a single platform. Coassemble features a user-friendly environment with flexibility and scalability, allowing your team to create unlimited courses that are tailored to your brand's training needs. You can choose from over 40 different customizable, interactive, drag and drop templates, plus you can add logos, custom fonts, and color schemes to fit your brand and update and view content on any device at any time.

This course is about Reinforcement Learning. The first step is to talk about the mathematical background: we can use a Markov Decision Process as a model for reinforcement learning. We can solve the problem 3 ways: value-iteration, policy-iteration and Q-learning. Q-learning is a model free approach so it is state-of-the-art approach. It learns the optimal policy by interacting with the environment.

A tree has many analogies in real life, and turns out that it has influenced a wide area of machine learning, covering both classification and regression. In decision analysis, a decision tree can be used to visually and explicitly represent decisions and decision making. If you're working towards an understanding of machine learning, it's important to know how to work with decision trees. This course covers the essentials of machine learning, including predictive analytics and working with decision trees. In this course, we'll explore several popular tree algorithms and learn how to use reverse engineering to identify specific variables.