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portada Data Science & Machine Learning Mastery. From Python Basics to Deep Learning, CNN, RNN, NLP & Transformers | Step-by-Step Guide for Beginners to Advanced AI Engineers
Type
Physical Book
Year
2026
Language
English
Pages
218
Format
Paperback
Dimensions
22.90 x 15.20 x 1.40 cm
ISBN13
9798254712428

Data Science & Machine Learning Mastery. From Python Basics to Deep Learning, CNN, RNN, NLP & Transformers | Step-by-Step Guide for Beginners to Advanced AI Engineers

Abhishek Kumar (Author) · Independently published · Paperback

Data Science & Machine Learning Mastery. From Python Basics to Deep Learning, CNN, RNN, NLP & Transformers | Step-by-Step Guide for Beginners to Advanced AI Engineers - Abhishek Kumar

New Book Imported to Taiwan
Delivery: 04 Sep - 14 Sep Shipping: 4 to 5 business days.
NT$ 1,807
NT$ 1,807

Synopsis "Data Science & Machine Learning Mastery. From Python Basics to Deep Learning, CNN, RNN, NLP & Transformers | Step-by-Step Guide for Beginners to Advanced AI Engineers"

Unlock the power of Artificial Intelligence and Data Science with this complete step-by-step guide designed for beginners, students, and aspiring AI engineers.

"Data Science & Machine Learning Mastery" takes you from the absolute basics of Python and Machine Learning to advanced Deep Learning architectures like CNN, RNN, LSTM, NLP, and Transformers-the same technologies powering ChatGPT and modern AI systems.

This book is structured in a practical, easy-to-understand way with real-world examples and Python implementations in every major topic.


What You Will Learn:

Fundamentals of Machine Learning
Supervised & Unsupervised Learning
Regression & Classification Techniques
Clustering Algorithms
Dimensionality Reduction (PCA)
Artificial Neural Networks (ANN)
Convolutional Neural Networks (CNN)
Recurrent Neural Networks (RNN & LSTM)
Natural Language Processing (NLP)
Transformers & Attention Mechanism


Why This Book is Different:

Beginner-friendly explanations
Real Python code examples
Industry-relevant concepts
Step-by-step learning path
Covers modern AI (ChatGPT-level concepts)


Who This Book Is For:

Beginners in Data Science
College students
Software testers moving to AI
Python developers
Anyone wanting to enter AI/ML field


Outcome After Reading:

By the end of this book, you will be able to:

Understand how AI models workBuild machine learning models in PythonWork with deep learning systemsUnderstand ChatGPT-like architecturesStart your journey as an AI Engineer

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The book is written in English.
The binding of this edition is Paperback.

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