BOOKS - PROGRAMMING - Deep Reinforcement Learning in Action
Deep Reinforcement Learning in Action - Alexander Zai, Brandon Brown 2020 PDF Manning Publications BOOKS PROGRAMMING
ECO~15 kg CO²

1 TON

Views
69540

Telegram
 
Deep Reinforcement Learning in Action
Author: Alexander Zai, Brandon Brown
Year: 2020
Pages: 384
Format: PDF
File size: 17,3 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Cloud Computing for Machine Learning and Cognitive Applications A Machine Learning Approach
Neuroscience for Learning and Development: How to Apply Neuroscience and Psychology for Improved Learning and Training
Learning About Fall with Children|s Literature (Learning About Nature With Child. Literature)
Machine Learning An In-Depth Beginners Guide into the Essentials of Machine Learning Algorithms
Introduction to Machine Learning (Adaptive Computation and Machine Learning), 4th Edition
Machine Learning Production Systems Engineering Machine Learning Models and Pipelines
Machine Learning Interviews Kickstart Your Machine Learning and Data Career (Final)
Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)
Statistics for Machine Learning Implement Statistical methods used in Machine Learning using Python
Neck Deep In Trouble (Neck Deep #1)
The Learning Curves Omnibus: Learning Curves Wrapped Up in You Ghosts of Halloween
Machine Learning Interviews: Kickstart Your Machine Learning and Data Career
Practical Machine Learning with R and Python Machine Learning in Stereo, Third Edition
Machine Learning for Beginners An Introduction to Artificial Intelligence and Machine Learning
Ultimate MLOps for Machine Learning Models Use Real Case Studies to Efficiently Build, Deploy, and Scale Machine Learning Pipelines with MLOps
Ultimate MLOps for Machine Learning Models Use Real Case Studies to Efficiently Build, Deploy, and Scale Machine Learning Pipelines with MLOps
Machine Learning For Beginners A Math Free Introduction for Business and Individuals to Machine Learning, Big Data, Data Science, and Neural Networks
Learning OpenCV 5 Computer Vision with Python, Fourth Edition: Tackle computer vision and machine learning with the newest tools, techniques and algorithms
The Cows With Too Much Hair: Empathy is core social and emotional learning step for kids. (Animal Picture Books With Social and Emotional Learning Book 1)
Unsupervised Machine Learning in Python Master Data Science and Machine Learning with Cluster Analysis, Gaussian Mixture Models, and Principal Components Analysis
Hands-On Machine Learning with Scikit-Learn and Scientific Python Toolkits: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python
Science Education and International Cross-Cultural Reciprocal Learning: Perspectives from the Nature Notes Program (Intercultural Reciprocal Learning in Chinese and Western Education)
Machine Learning Hero Master Data Science with Python Essentials Machine Learning with Python Hands-On Guide from Beginner to Expert (Mastering the AI Revolution Book 1)
Hacker|s Guide to Machine Learning with Python Hands-on guide to solving real-world Machine Learning problems with Scikit-Learn, TensorFlow 2, and Keras
Python Machine Learning A Hands-On Beginner|s Guide to Effectively Understand Artificial Neural Networks and Machine Learning Using Python
Machine Learning for Emotion Analysis in Python: Build AI-powered tools for analyzing emotion using natural language processing and machine learning
Professional Learning Networks: Facilitating Transformation in Diverse Contexts with Equity-seeking Communities (Emerald Professional Learning Networks Series)
Python Machine Learning Is The Complete Guide To Everything You Need To Know About Python Machine Learning Keras, Numpy, Scikit Learn, Tensorflow, With Useful Exercises and examples
Ultimate Machine Learning with ML.NET Build, Optimize, and Deploy Powerful Machine Learning Models for Data-Driven Insights with ML.NET, Azure Functions, and Web API
Python Machine Learning Understand Python Libraries (Keras, NumPy, Scikit-lear, TensorFlow) for Implementing Machine Learning Models in Order to Build Intelligent Systems
Data Science and Machine Learning Interview Questions Using R: Crack the Data Scientist and Machine Learning Engineers Interviews with Ease
Data Science and Machine Learning Interview Questions Using R Crack the Data Scientist and Machine Learning Engineers Interviews with Ease
Ultimate Machine Learning with ML.NET: Build, Optimize, and Deploy Powerful Machine Learning Models for Data-Driven Insights with ML.NET, Azure Functions, and Web API (English Edition)
Python Machine Learning for Beginners: Unlocking the Power of Data. A Beginner|s Guide to Machine Learning with Python
Python Machine Learning for Beginners Unlocking the Power of Data. A Beginner|s Guide to Machine Learning with Python
Machine Learning Techniques and Analytics for Cloud Security (Advances in Learning Analytics for Intelligent Cloud-IoT Systems)
Python Machine Learning for Beginners Unlocking the Power of Data. A Beginner|s Guide to Machine Learning with Python
The Art of Machine Learning: A Hands-On Guide to Machine Learning with R
The Art of Machine Learning A Hands-On Guide to Machine Learning with R
Machine Learning Q and AI 30 Essential Questions and Answers on Machine Learning and AI