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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

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

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Live course assures 6 times more probability of getting certified

Curriculum

Introduction to Reinforcement Learning

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Course Description

About Reinforcement Learning Course

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Certification

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

Testimonial Reviews

Sudhiranjan SarmaAnalytics and Information management, Cognizant
My experience with edureka about Python is much impressed, with such quality of the training. We get ... Read More
Chandrasekhara Rao Chitiprolu
I have been using Edureka for learning different topics related to Big Data -Hadoop, PIG, HIVE, Cass ... Read More
Raghava BeeragudemSenior Big Data Consultant at Clarity Solution Group
I have taken 3 courses (Hadoop development, Python and Spark) in last one year. It was an excellent ... Read More
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Puneet Jhajj
I have done Spring Framework and Hadoop framework training from Edureka. I am very happy with the tr ... Read More
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Sujit SamalTechnical Lead, Wipro
I have been an Edureka!'s happy customer since 2013. I am a customer of Edureka enrolled for Big dat ... 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

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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PMP®,PMI®, PMI-ACP® and PMBOK® are registered marks of the Project Management Institute, Inc. MongoDB®, Mongo and the leaf logo are the registered trademarks of MongoDB, Inc.
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