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Data Science with Artificial Intelligence, Machine Learning and Deep Learning
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by:  Rajiv Chopra
In Stock
Published:
May 29, 2026
Edition:
First
Type of book:
physical
No. of Pages:
956
Year:
2023
Language:
Publisher:
Khanna Publishing House
Condition Type:
New
Country Origin:
India
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$750.00
In Stock
ISBN 13 : 978-93-55380-82-1
ISBN-10: 9355380828
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The Present book takes a student from "unknown to known" and " simple to complex" principles of Data Science. This book is user-friendly, thought provoking and stimulating. It helps in clearing the cobwebs of the mind and the subject. The style used is lucid and un-adulterated. What stands out is the stark simplicity with which the ideas have been portrayed.

A good book should teach the customary and effective ways to structure your code in such a way that data engineering is not havoc. Python is an object-oriented programming language that is used in this book .

The book is divided in to 4 Units:-

Unit-1 has 15 chapters on Artificial Intelligence.

Unit-2 has 7 chapters that explain Machine Learning and IOT.

Unit-3 has 10 chapters each focusing on DEEP Learning.

Unit-4 has 1 chapter that explain Data Sciences.

  1. Unit-I : Artificial Intelligence
  2. Introduction to AI
  3. Intelligent Agents
  4. AI Approaches
  5. Uninformed Search Strategies
  6. Informed Search
  7. Games Solving
  8. Constraint Satisfaction Problems
  9. Knowledge Representation
  10. AI Retrospectives
  11. Representation Knowledge
  12. Planning & Learning
  13. Uncertain Knowledge & Reasoning
  14. NLP
  15. Expert Systems
  16. ANNS
  17. Unit-II:- Machine Learning
  18. Introduction to ML
  19. Types of Learning
  20. Classification Families
  21. Learning Algorithms
  22. Unsupervised Learning and their Algorithms
  23. Reinforcement Learning and Control
  24. loT and ML
  25. UNIT-lll :- Deep Learning
  26. The Neural Network (DL)
  27. Machine Learning Retrospective
  28. Deep feed forward Networks
  29. Deep Learning Optimization
  30. CNNs
  31. Sequence Analysis
  32. Practical Deep Learning
  33. Applications of Deep Learning
  34. Deep Learning Survey
  35. Roses are Red, Violets are Blue, Deep Learning Can Recognize Objects for you.
  36. UIT lV: Data Science
  37. Data Science
  38. Glossary
  39. Model Question Papers
  40. References

Rajiv Chopra

Dr. Rajiv Chopra has a Doctorate in Computer Science from Banasthali VidyaPith University. The author is M. Tech. in Information Technology from GGSIPU, Delhi. He did BE (CSE) from SDM College of Engg. and Technology, Dharwad and MIT from MAHE. He is working as an Associate Professor in CSE Department at Guru Tegh Bahadur Institute of Information Technology, GGSIPU Delhi. As an educator he has contributed to 21 research publications in Refereed, cited International Conferences and International Journals and attended 21 conferences, workshops, FDPs and seminars. He is a prolific author with 26 Text and Reference books to his credit,for B. Tech. (CSE/IT), M. Tech. (CSE/IT), BCA, MCA and other courses of different Universities of India.

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