Machine Learning: Algorithms, Theory and Practice — A
Comprehensive Hands-On Guide with Python
CLICK HERE TO ORDER THE BOOK ON AMAZON
Unlock
the power of machine learning with a guide designed to take you from
foundational concepts to cutting-edge applications. Machine Learning:
Algorithms, Theory, and Practice is
your all-in-one companion for mastering the theory and hands-on techniques
behind modern ML systems—crafted for students, developers, educators, and
professionals alike.
This
comprehensive guide is structured for progressive learning. You’ll start with
the essentials of AI and Python programming, then advance through data
preprocessing, statistical modeling, and classical machine learning algorithms.
From there, you'll dive into deep learning, natural language processing (NLP),
reinforcement learning, and generative AI—each topic reinforced with real-world
coding exercises and clear explanations.
Inside, you’ll find:
·
Foundational
theory and intuitive explanations of key ML concepts, including supervised
and unsupervised learning, regression, classification, clustering, and model
evaluation.
·
Practical
tutorials using Python
and essential libraries such as NumPy, pandas, scikit-learn, and matplotlib.
·
Practical
tutorials that
lead you through the process of building, training, and testing machine
learning models
·
Advanced
coverage of neural
networks, CNNs, RNNs, BERT, transformer models, and diffusion-based generative
AI.
·
Bonus
content, including around
300 glossary terms, frequently asked questions, and hands-on guidance for using
Jupyter Notebooks effectively.
Whether you're aiming for
AI certifications, transitioning into a machine learning role, or applying ML
techniques to real-world challenges, this book provides both the conceptual
clarity and practical skills to help you thrive in the evolving world of
machine learning.
CLICK HERE TO ORDER THE BOOK ON AMAZON
Amazon Associates Disclosure
Agricbooks is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for websites to earn advertising fees by advertising and linking to Amazon.com.
As an Amazon Associate, I earn from qualifying purchases.
Post a Comment