Reinforcement Learning

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Reinforcement Learning Preview this course
In this course, you will be introduced to Reinforcement Learning, an area of Machine Learning. You will learn the Markov Decision Processes, Bandit Algorithms, Dynamic Programming, and Temporal Difference (TD) methods. You will be introduced to Value function, Bellman Equation, and Value iteration. You will also learn Policy Gradient methods. You will learn to make decisions in uncertain environment.
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Why should you take Reinforcement Learning?

Tractica predicts annual global AI software revenue will grow from $10.1B in 2018 to $126.0B by 2025, achieving a CAGR of 43.41%.
The average salary for a Machine Learning Engineer is $1,18,452 – Glassdoor.co
Machine Learning Engineers rank among the top emerging jobs on LinkedIn

Online self paced classes

Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You'll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.

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LIVE ONLINE CLASSES

Learn Artificial Intelligence Live Online from top industry professionals

Live online training

Interactions with an Live Expert, get your doubts cleared in Real Time.

Classroom Experience

Access to World Class Instructors, from anywhere

Personal Learning Manager

Your guide from Edureka, to ensure you achieve your learning goals.

Get Assured Certification

Live course assures 6 times more probability of getting certified

Curriculum

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Certification

Edureka’s Reinforcement Learning Certificate Holders work at 1000s of companies like

Testimonial Reviews

Zakir KhanSenior Associate, Syntel, Thane, Maharashtra, India
The unique combination of Online Classes with 24*7 On-Demand Support and class recordings/ppt/docs e ... Read More
Vishal PawarPMP Certified, Lead Consultant, HCL Technologies Ltd. Mumbai Area, India
edureka! is efficiently able to provide effective e-learning for Big Data. All the required material ... Read More
Vijay KalkundriPrincipal Engineer at Reflektion, former Senior Test Engineer at Nokia
I had a great experience in taking the Hadoop course from Edureka. It is the only course in the mark ... Read More
Madhu Gulla
I have been part of Edureka family more than an year and I appreciate all the effort that edureka ma ... Read More
Pramod KunjuData Warehouse Guru, Greater Los Angeles Area
I found the big data course from Edureka to be comprehensive, and practical. Course instructor was v ... Read More
Manish DunaniBig Data Enthusiast
It is a very good experience to learn from edureka!.Faculty seems excellent in sharing real world ex ... Read More

Projects

Features

Self-Paced Learning

You will undergo self-paced learning where you will get an in-depth knowledge of various concepts that will be covered in the course.

Real-life Case Studies

Project based on any of the selected use cases, involving implementation of the various Reinforcement Learning concepts.

Assignments

Each class will be followed by practical assignments.

Lifetime Access

You will get lifetime access to LMS where presentations, quizzes, installation guides & class recordings are available.

Certification

Towards the end of the course, Edureka certifies you as a Reinforcemnt Learning Professional based on the project you submit.

Forum

We have a community forum for our learners that further facilitates learning through peer interaction and knowledge sharing.

FAQ

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