"VV Square"building, Plot.No.TS 710/1b1 & 2B1, CMC Ward No 18, Moka road, Gandhinagar, Ballari-583 101. 583101 Bellari IN
Kendriya Vidyalaya Ballari
"VV Square"building, Plot.No.TS 710/1b1 & 2B1, CMC Ward No 18, Moka road, Gandhinagar, Ballari-583 101. Bellari, IN
+918050151380 https://www.trendypaper.com/s/5b1a00c581a9afd8ff765190/ms.settings/5256837ccc4abf1d39000001/5b928defbda50e15d4c76434-480x480.png" [email protected]
9789391392352- 63f9e3e5a69a6e7df6091e75 Machine Learning https://www.trendypaper.com/s/5b1a00c581a9afd8ff765190/64df47245a810940ca0a4b23/md_9789391392352_251020211732600.jpg Includes real-scenario examples to explain the working of Machine Learning algorithms. Includes graphical and statistical representation to simplify modeling Machine Learning and Neural Networks. Full of Python codes, numerous exercises, and model question papers for data science students. DESCRIPTION The book offers the readers the fundamental concepts of Machine Learning techniques in a user-friendly language. The book aims to give in-depth knowledge of the different Machine Learning (ML) algorithms and the practical implementation of the various ML approaches. This book covers different Supervised Machine Learning algorithms such as Linear Regression Model, Na ve Bayes classifier Decision Tree, K-nearest neighbor, Logistic Regression, Support Vector Machine, Random forest algorithms, Unsupervised Machine Learning algorithms such as k-means clustering, Hierarchical Clustering, Probabilistic clustering, Association rule mining, Apriori Algorithm, f-p growth algorithm, Gaussian mixture model and Reinforcement Learning algorithm such as Markov Decision Process (MDP), Bellman equations, policy evaluation using Monte Carlo, Policy iteration and Value iteration, Q-Learning, State-Action-Reward-State-Action (SARSA). It also includes various feature extraction and feature selection techniques, the Recommender System, and a brief overview of Deep Learning. By the end of this book, the reader can understand Machine Learning concepts and easily implement various ML algorithms to real-world problems. Relevant Links: Manjit Kaur 1 Books Online, Organic Name Reactions A Unified Approach Revised Edition Books Online, Quick Easy Way To Learn Chinese Books Online, Madhubun Hindi Angrezi Shabdkosh Books Online, Gul Mohar Primer Teaching Aids 1 Phonic Cards Books Online, Pedicon Workshop Manuals 2015 Iap Eeg And Epilepsy Books Online, Cbse Class 6 Books Books Online, Witty Stories Of Akbar And Birbal Volume 5 Illustrated Humorous Stories For Kids Books Online, Frank Art Craft Book 3 Books Online 9789391392352-
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BPB Publications
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Machine Learning

Machine Learning

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Author: Hiran/ Doshi/ Jain/ Lakhwani

Brand: BPB Publications

ISBN: 9789391392352-
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Includes real-scenario examples to explain the working of Machine Learning algorithms. Includes graphical and statistical representation to simplify modeling Machine Learning and Neural Networks. Full of Python codes, numerous exercises, and model question papers for data science students. DESCRIPTION The book offers the readers the fundamental concepts of Machine Learning techniques in a user-friendly language. The book aims to give in-depth knowledge of the different Machine Learning (ML) algorithms and the practical implementation of the various ML approaches. This book covers different Supervised Machine Learning algorithms such as Linear Regression Model, Na ve Bayes classifier Decision Tree, K-nearest neighbor, Logistic Regression, Support Vector Machine, Random forest algorithms, Unsupervised Machine Learning algorithms such as k-means clustering, Hierarchical Clustering, Probabilistic clustering, Association rule mining, Apriori Algorithm, f-p growth algorithm, Gaussian mixture model and Reinforcement Learning algorithm such as Markov Decision Process (MDP), Bellman equations, policy evaluation using Monte Carlo, Policy iteration and Value iteration, Q-Learning, State-Action-Reward-State-Action (SARSA). It also includes various feature extraction and feature selection techniques, the Recommender System, and a brief overview of Deep Learning. By the end of this book, the reader can understand Machine Learning concepts and easily implement various ML algorithms to real-world problems. Relevant Links: Manjit Kaur 1 Books Online, Organic Name Reactions A Unified Approach Revised Edition Books Online, Quick Easy Way To Learn Chinese Books Online, Madhubun Hindi Angrezi Shabdkosh Books Online, Gul Mohar Primer Teaching Aids 1 Phonic Cards Books Online, Pedicon Workshop Manuals 2015 Iap Eeg And Epilepsy Books Online, Cbse Class 6 Books Books Online, Witty Stories Of Akbar And Birbal Volume 5 Illustrated Humorous Stories For Kids Books Online, Frank Art Craft Book 3 Books Online

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