Machine Learning Quick Reference
Machine learning involves development and training of models used to predict future outcomes. This book is a practical guide to all the tips and tricks related to machine learning. It includes hands-on, easy to access techniques on topics like model selection, performance tuning, training neural networks, time series analysis and a lot more.
Offered by
Difficulty Level
Intermediate
Completion Time
9h48m
Language
English
About Book
Who Is This Book For?
If you’re a machine learning practitioner, data scientist, machine learning developer, or engineer, this book will serve as a reference point in building machine learning solutions. You will also find this book useful if you’re an intermediate machine learning developer or data scientist looking for a quick, handy reference to all the concepts of machine learning. You’ll need some exposure to machine learning to get the best out of this book.
Machine Learning Quick Reference
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 9h48m total length
Quantifying Learning Algorithms
Evaluating Kernel Learning
Performance in Ensemble Learning
Training Neural Networks
Time-Series Analysis
Natural Language Processing
Temporal and Sequential Pattern Discovery
Probabilistic Graphical Models
Selected Topics in Deep Learning
Causal Inference
Advanced Methods
Related Resources
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