TY  - BOOK
AU  - Bonaccorso, Giuseppe
TI  - Mastering machine learning algorithms: expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work 
SN  - 9781838820299
AV  - Q 325.5 .B66 2020 
PY  - 2020///
CY  - Birmingham, UK
PB  - Packt Publishing, Limited
KW  - COMPUTER ALGORITHMS
N1  - Machine Learning Model Fundamentals -- Loss functions and Regularization -- Introduction to Semi-Supervised Learning -- Advanced Semi-Supervised Classification -- Graph-based Semi-Supervised Learning -- Clustering and Unsupervised Models -- Advanced Clustering and Unsupervised Models -- Clustering and Unsupervised Models for Marketing -- Generalized Linear Models and Regression -- Introduction to Time-Series Analysis -- Bayesian Networks and Hidden Markov Models -- The EM Algorithm -- Component Analysis and Dimensionality Reduction -- Hebbian Learning -- Fundamentals of Ensemble Learning -- Advanced Boosting Algorithms -- Modeling Neural Networks -- Optimizing Neural Networks -- Deep Convolutional Networks -- Recurrent Neural NetworksAuto-Encoders -- Introduction to Generative Adversarial Networks -- Deep Belief Networks -- Introduction to Reinforcement Learning -- Advanced Policy Estimation Algorithms
N2  - A new second edition of the bestselling guide to exploring and mastering the most important algorithms for solving complex machine learning problems, updated to include Python 3.8 and TensorFlow 2.x as well as the latest in new algorithms and techniques
ER  -