Deep Learning on Azure with Python: Reinforcement Learning

Overview

Explore the dynamic world of machine learning with the "Deep Learning on Azure with Python:

Reinforcement Learning" course offered by FutureLearn. This comprehensive course delves into the intricacies of reinforcement learning, a subset of artificial intelligence that is crucial for solving complex, multilevel problems through a series of decisions.

By framing problems as relational learning tasks, the course enables you to navigate through possible solutions to determine the most effective outcomes.

Gain practical experience in reinforcement learning as it applies to neural networks in deep learning, enhancing your skills in building sophisticated algorithms. Throughout the course, you will be introduced to foundational concepts such as dynamic programming algorithms and temporal difference learning.

The unique Project Malmo, an AI experimentation platform built in Minecraft, serves as a practical example to solidify your understanding.

The course provides a deep dive into Microsoft Azure's capabilities, focusing on how to frame and solve reinforcement learning problems using Python. By the conclusion of your studies, you will have mastered the essential techniques and formal notation of reinforcement learning, preparing you to leverage Microsoft Azure Cognitive Services for your projects.

This course is ideal for individuals keen on expanding their knowledge in machine learning, artificial intelligence, and deep learning using Python.

Prior experience in Python programming, along with a solid background in mathematics and computer science, will be beneficial for participants.

Categories include Python Courses, Microsoft Azure Courses, and Deep Learning Courses.

Taught by

Claire Lipscomb

Subjects