Artificial Intelligence Reinforcement Learning in Python

Artificial Intelligence Reinforcement Learning in PythonWhen people talk about artificial intelligence, they usually don’t mean supervised and unsupervised machine learning.These tasks are pretty trivial compared to what we think of AIs doing – playing chess and Go, driving cars, and beating video games at a superhuman level.Reinforcement learning has recently become popular for doing all of that and more.Much like deep learning, a lot of the theory was discovered in the 70s and 80s but it hasn’t been until recently that we’ve been able to observe first hand the amazing results that are possible.In 2016 we saw Google’s AlphaGo beat the world Champion in Go.We saw AIs playing video games like Doom and Super Mario.Self-driving cars have started driving on real roads with other drivers and even carrying passengers (Uber), all without human assistance.If that sounds amazing, brace yourself for the future because the law of accelerating returns dictates that this progress is only going to continue to increase exponentially.Get immediately download Artificial Intelligence Reinforcement Learning in PythonLearning about supervised and unsupervised machine learning is no small feat. To date I have over SIXTEEN (16!) courses just on those topics alone.And yet reinforcement learning opens up a whole new world. As you’ll learn in this course, the reinforcement learning paradigm is more different from supervised and unsupervised learning than they are from each other.It’s led to new and amazing insights both in behavioral psychology and neuroscience. As you’ll learn in this course, there are many analogous processes when it comes to teaching an agent and teaching an animal or even a human. It’s the closest thing we have so far to a true general artificial intelligence. What’s covered in this course?The multi-armed bandit problem and the explore-exploit dilemmaWays to calculate means and moving averages and their relationship to stochastic gradient descentMarkov Decision Processes (MDPs)Dynamic ProgrammingMonte CarloTemporal Difference (TD) Learning (Q-Learning and SARSA)Approximation Methods (i.e. how to plug in a deep neural network or other differentiable model into your RL algorithm)Project: Apply Q-Learning to build a stock trading botIf you’re ready to take on a brand new challenge, and learn about AI techniques that you’ve never seen before in traditional supervised machine learning, unsupervised machine learning, or even deep learning, then this course is for you.See you in class!“If you can’t implement it, you don’t understand it”Or as the great physicist Richard Feynman said: “What I cannot create, I do not understand”.My courses are the ONLY courses where you will learn how to implement machine learning algorithms from scratchOther courses will teach you how to plug in your data into a library, but do you really need help with 3 lines of code?After doing the same thing with 10 datasets, you realize you didn’t learn 10 things. You learned 1 thing, and just repeated the same 3 lines of code 10 times…Suggested Prerequisites:CalculusProbabilityObject-oriented programmingPython coding: if/else, loops, lists, dicts, setsNumpy coding: matrix and vector operationsLinear regressionGradient descentWHAT ORDER SHOULD I TAKE YOUR COURSES IN?:Check out the lecture “Machine Learning and AI Prerequisite Roadmap” (available in the FAQ of any of my courses, including the free Numpy course)Who this course is for:Get immediately download Artificial Intelligence Reinforcement Learning in PythonAnyone who wants to learn about artificial intelligence, data science, machine learning, and deep learningBoth students and professionals Here’s What You’ll Get in Artificial Intelligence Reinforcement Learning in Python– Download Sample files “Artificial Intelligence Reinforcement Learning in Python”Course Requirement: Artificial Intelligence Reinforcement Learning in PythonReal Value: $29.9000One time cost: USDFrequently Asked Questions For “Artificial Intelligence Reinforcement Learning in Python”How to make payment for “Artificial Intelligence Reinforcement Learning in Python” ?Please add to cart on this page and go to checkout page. 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Lastly, download times are much quicker in the mornings, before noon, Pacific time. during download make sure your device is not sleeping off screen.What is the refund policy “Artificial Intelligence Reinforcement Learning in Python”?We’ll Bear The Risk, You’ll Take The Results…Within 30 days of purchased |Artificial Intelligence Reinforcement Learning in Python  |, if you don’t get anything out of the program, or if your order has any problem, or maybe for some reason, you just don’t like the way it is. Please contact us and we will do our best to assist. Thank you for your understanding.Have More Questions?Our support staff is the best by far! please do not hesitate to contact us at email: [email protected] and we’ll be happy to help!You want to get “Artificial Intelligence Reinforcement Learning in Python” now right?!!!YES! I’M READY TO ADD TO CART BUTTON ON THIS PAGE NOW !