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Books > Professional & Technical > Energy technology & engineering > Electrical engineering
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Machine Learning - Concepts, Techniques and Applications (Hardcover)
Loot Price: R4,559
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Machine Learning - Concepts, Techniques and Applications (Hardcover)
Expected to ship within 9 - 17 working days
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Machine Learning: Concepts, Techniques and Applications starts at
basic conceptual level of explaining machine learning and goes on
to explain the basis of machine learning algorithms. The
mathematical foundations required are outlined along with their
associations to machine learning. The book then goes on to describe
important machine learning algorithms along with appropriate use
cases. This approach enables the readers to explore the
applicability of each algorithm by understanding the differences
between them. A comprehensive account of various aspects of ethical
machine learning has been discussed. An outline of deep learning
models is also included. The use cases, self-assessments,
exercises, activities, numerical problems, and projects associated
with each chapter aims to concretize the understanding. Features
Concepts of Machine learning from basics to algorithms to
implementation Comparison of Different Machine Learning Algorithms
- When to use them & Why - for Application developers and
Researchers Machine Learning from an Application Perspective -
General & Machine learning for Healthcare, Education, Business,
Engineering Applications Ethics of machine learning including Bias,
Fairness, Trust, Responsibility Basics of Deep learning, important
deep learning models and applications Plenty of objective
questions, Use Cases, Activity and Project based Learning Exercises
The book aims to make the thinking of applications and problems in
terms of machine learning possible for graduate students,
researchers and professionals so that they can formulate the
problems, prepare data, decide features, select appropriate machine
learning algorithms and do appropriate performance evaluation.
General
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