GATE DA Books 2025: Data Science & Artificial Intelligence

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Explore top GATE DA books for 2025 to excel in your exam and a rewarding career in data science & artificial intelligence.

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BEST BOOKS FOR GATE DA
(DATA SCIENCE & ARTIFICIAL INTELLIGENCE)
[2024-2025]

GATE DA 2025 Books – GATE 2025 exam will be conduct by IIT, Roorkee on dates 1, 2 and 8, 9 February, 2025. Here we have provided best book for GATE Data Science & Artificial Intelligence.

GATE Data Science & Artificial Intelligence aspirants can check their GATE Data Science & Artificial Intelligence best reference book list from the table given below. You can check Data Science & Artificial Intelligence GATE best reference book list for each subject by clicking the button attached to the related book.

GATE 2025 Highlights

GATE 2025 Conducting Body IIT, Roorkee
GATE 2025 Exam Date 1, 2, 8, 9 February, 2025
GATE 2025 Total Subjects 30
GATE 2025 Exam Mode ONLINE Computer Based Test (CBT)
GATE 2025 Exam Duration 3 hours (180 minutes)
GATE 2025 Total Questions 10 (GA) + 55 (subject)= 65
GATE 2025 Total Marks 100
GATE 2025 Question Type MCQ, MSQ, NAT

GATE 2025 Data Science & Artificial Intelligence Exam Books

 Exam Guides 

1. ” Data Science Fundamentals & Practical Approaches” book is authored by Dr Gypsy Anand, Dr Rupam Sharmaand published by BPB Publications

2. “Data Science: A Comprehensive Guide to Data Science, Data Analytics, Data Mining, Artificial Intelligence, Machine Learning, and Big Data” book is authored by Richard Hurleyand published by Richard Hurley

3. “Step up for Leadership in Enterprise Data Science & Artificial Intelligence with Big Data : Illustrations with R & Python” book is authored by Shitalkumar R Sukhdeveand published by Shitalkumar R Sukhdeve

GATE 2025 Data Science & Artificial Intelligence Reference Books

 General Aptitude Books 

 Verbal Ability Books 

1. “Objective English for Competitive Examination” book is authored by Hari Mohan Prasad, Uma Sinhaand published by McGraw Hill Education

2. “How to Prepare for Verbal Ability and Reading Comprehension” book is authored by Sharma, Upadhyayand published by McGraw Hill Education

 Numerical Ability Books 

1. “How to Prepare for Quantitative Aptitude for CAT” book is authored by Arun Sharma and published by McGraw Hill Education

2. “How to Prepare for Data Interpretation for the CAT” book is authored by Arun Sharma and published by McGraw Hill Education

GATE Data Science & Artificial Intelligence Books: Best Books for GATE 2025 Preparation

If you’re preparing for the GATE 2025 exam in the Data Science & Artificial Intelligence (DSAI) discipline, selecting the right study resources is crucial. Here’s a list of some highly recommended books that can help you in your preparation:

  1. “Pattern Recognition and Machine Learning” by Christopher M. Bishop This book is an excellent resource for understanding the foundations of pattern recognition and machine learning concepts. It covers a wide range of topics, including supervised and unsupervised learning, probabilistic graphical models, and more.
  2. “Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville Deep learning is a significant component of artificial intelligence. This comprehensive book provides a deep dive into neural networks, deep learning architectures, and various techniques used in the field.
  3. “Elements of Statistical Learning” by Trevor Hastie, Robert Tibshirani, and Jerome Friedman This book is essential for understanding the statistical foundations of machine learning and data analysis. It covers a range of topics, from linear regression to support vector machines and ensemble methods.
  4. “Speech and Language Processing” by Daniel Jurafsky and James H. Martin For candidates interested in natural language processing, this book is a valuable resource. It covers various aspects of language processing, including syntax, semantics, and machine translation.
  5. “Computer Vision: Algorithms and Applications” by Richard Szeliski If computer vision is part of your GATE DSAI preparation, this book offers a comprehensive introduction to the field. It covers topics like image formation, image filtering, feature detection, and more.
  6. “Information Theory, Inference, and Learning Algorithms” by David MacKay This book explores the fundamentals of information theory, Bayesian inference, and machine learning. It’s a great resource for understanding the mathematical underpinnings of these concepts.
  7. “Python Machine Learning” by Sebastian Raschka and Vahid Mirjalili For practical implementation, this book offers hands-on examples and guides for using Python libraries like scikit-learn and TensorFlow. It’s suitable for both beginners and intermediate learners.
  8. “Introduction to the Theory of Computation” by Michael Sipser Understanding the theory of computation is important for grasping the fundamentals of artificial intelligence. This book covers topics like automata theory, formal languages, and complexity theory.
  9. “Bayesian Reasoning and Machine Learning” by David Barber For those interested in Bayesian methods, this book provides insights into Bayesian reasoning, probabilistic graphical models, and machine learning algorithms.
  10. “Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow” by Aurélien Géron This practical guide offers hands-on exercises and projects using popular libraries like scikit-learn, Keras, and TensorFlow. It’s suitable for learners who want to apply their knowledge to real-world problems.

Remember that while these books can be valuable resources, it’s important to complement your study plan with other materials like online courses, practice tests, and previous years’ question papers.

Tailor your preparation strategy to your strengths, weaknesses, and the specific topics outlined in the GATE DSAI syllabus for a successful exam experience.

Good reference books are essential for such national level competitive examination. GATE aspirants must always use standard reference books so that they can get correct information in all aspects.

Here we have listed all necessary books which one will require during his/her GATE exam preparation. You can also check some pages of almost all books mentioned above using Google Books. GATE DA aspirants can download these books in free PDF format from Google Books.

Here we have listed two major stores in India, Flipkart & Amazon. So that GATE DA aspirants can buy/purchase GATE DA Hardcover books / e-books online. Here we have listed GATE DA reference Books name as well as Author name in detail. These detailed list of GATE DA reference books will surely help GATE DA aspirants in their GATE 2025 exam preparation.

GATE Data Science & Artificial Intelligence Guidance

GATE Data Science & Artificial Intelligence Books FAQs

What are the recommended books for GATE Data Science & Artificial Intelligence (DSAI) preparation?

There are several excellent books that can aid in GATE DSAI preparation. Some recommended titles include:

  1. 'Pattern Recognition and Machine Learning' by Christopher M. Bishop
  2. 'Deep Learning' by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
  3. 'Elements of Statistical Learning' by Trevor Hastie, Robert Tibshirani, and Jerome Friedman
  4. 'Speech and Language Processing' by Daniel Jurafsky and James H. Martin
  5. 'Computer Vision: Algorithms and Applications' by Richard Szeliski

Can you suggest any books for practical implementation and coding in GATE DSAI preparation?

Certainly! You might find these books useful for practical coding:

  1. 'Python Machine Learning' by Sebastian Raschka and Vahid Mirjalili
  2. 'Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow' by Aurélien Géron

Are there any books that focus on the theoretical aspects of artificial intelligence and computation for GATE DSAI preparation?

Yes, if you're interested in theoretical aspects, consider these titles:

  1. 'Introduction to the Theory of Computation' by Michael Sipser
  2. 'Bayesian Reasoning and Machine Learning' by David Barber
  3. 'Information Theory, Inference, and Learning Algorithms' by David MacKay

Are there specific books for improving my knowledge of natural language processing and deep learning in GATE DSAI?

Absolutely! For these areas, you might want to explore:

  1. 'Speech and Language Processing' by Daniel Jurafsky and James H. Martin (for NLP)
  2. 'Deep Learning' by Ian Goodfellow, Yoshua Bengio, and Aaron Courville (for deep learning)

How can these books benefit my GATE DSAI preparation?

These books provide in-depth knowledge of various topics within data science and artificial intelligence, aligning with the GATE DSAI syllabus.

They cover essential theories, algorithms, and practical applications, enhancing your conceptual understanding and coding skills.

Using these books alongside other study resources will contribute significantly to your overall GATE DSAI preparation.

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