TY  - BOOK
AU  - Doshi, Ruchi
AU  - Hiran, Kamal Kant
AU  - Jain, Ritesh Kumar
TI  - Machine Learning: Master Supervised & Unsupervised Learning Algorithms With Real Examples
SN  - 9789391392352
U1  - 006.31 DOS 
PY  - 2022///
CY  -  New Delhi 
PB  - Bpb Publications
KW  - Data Science
KW  - Machine Learning
KW  -  Vector Machine
KW  - Algorithms
N2  - 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, Naïve 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
ER  -