Amazon India
Top AI & ML eBooks
Top AI & ML eBooks
eBooks' Summary
eBooks' Summary
These curated books cover everything from beginner-friendly intros to deep technical insights. Whether you want to learn practical skills or explore the philosophy and future of AI, this collection will guide your learning journey.
1. Hands-On ML with Scikit-Learn, Keras & TensorFlow – A practical guide to building real-world ML models using Python.
2. Grokking Deep Learning – Beginner-friendly book that teaches deep learning concepts from scratch.
3. AI: A Guide for Thinking Humans – A thoughtful, non-technical exploration of AI’s strengths and limits.
4. The Alignment Problem – Investigates how AI can (and can't) learn human values.
5. Python Machine Learning – Covers ML using Python libraries, with practical projects and theory.
6. The Hundred-Page ML Book – Concise yet powerful reference covering ML concepts and workflows.
7. The Coming Wave – Big-picture perspective on the rise of AI and its impact on society.
8. Deep Learning – An academic-level, in-depth book from pioneers in the field.
9. Life 3.0 – A visionary take on how AI might reshape life and consciousness in the future.
Key Benefits of eBooks
Key Benefits of eBooks
- Learn AI & ML concepts with real examples
- Build, evaluate, and deploy ML models
- Explore ethical and philosophical questions about AI
- Stay updated on AI’s impact in real-world applications
- Develop critical thinking about data and algorithmic bias
Ideal Readers
Ideal Readers
- Beginners & Non-Techies: Starting their AI/ML journey (e.g., Grokking Deep Learning, AI for Thinking Humans)
- Students & Developers: Looking for hands-on, practical learning (e.g., Hands-On ML, Python ML)
- Tech Professionals: Upskilling in deep learning and research (e.g., Deep Learning by Bengio, Hundred-Page ML Book)
- Business Leaders & Philosophers: Exploring AI ethics and global impact (e.g., Life 3.0, The Coming Wave)
Skills and Tools You'll Gain
Skills and Tools You'll Gain
- ML Libraries: Scikit-Learn, TensorFlow, Keras, PyTorch
- Programming: Python for AI & ML
- Techniques: Deep learning, supervised/unsupervised learning, reinforcement learning
- Concepts: Model tuning, data preprocessing, overfitting, algorithm transparency
- Ethics: Bias, explainability, and future risks of AI
📚 Top ebooks on AI an ML
| 📘 Title | 💰 Estimated Price (INR) | 🔗 Link |
|---|---|---|
| Hands-On ML with Scikit-Learn, Keras & TensorFlow | ₹2,500 – ₹3,200 | Own it Today |
| Grokking Deep Learning | ₹2,000 – ₹2,800 | Own it Today |
| AI: A Guide for Thinking Humans | ₹1,200 – ₹1,700 | Own it Today |
| The Alignment Problem | ₹1,400 – ₹2,000 | Own it Today |
| Python Machine Learning | ₹2,300 – ₹3,000 | Own it Today |
| The Hundred-Page ML Book | ₹900 – ₹1,400 | Own it Today |
| The Coming Wave | ₹1,500 – ₹2,200 | Own it Today |
| Deep Learning | ₹3,000 – ₹3,800 | Own it Today |
| Life 3.0 | ₹1,400 – ₹2,000 | Own it Today |
Affiliate Disclosure: This post contains affiliate links. If you click and make a purchase, I may receive a small commission at no additional cost to you. Thanks for supporting this site!
Ebooks on Artificial Intelligence (AI) and Machine Learning (ML) provide a convenient and accessible way to delve into these transformative fields. Whether you're a beginner eager to grasp fundamental concepts or an experienced practitioner seeking to expand your knowledge, ebooks offer a wealth of information tailored to your needs.
From introductory guides that demystify complex algorithms to advanced research papers exploring cutting-edge techniques, the digital realm is brimming with resources designed to empower you on your AI and ML journey.
Invest in AI and ML ebooks/books
1. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: 3rd Edition by Aurelien Geron
2. Grokking Deep Learning by Andrew Trask
3. Artificial Intelligence: A Guide for Thinking Humans By Melanie Mitchell
4. The Alignment Problem: How Can Machines Learn Human Values? By Brain Christian
5. Python Machine Learning by Sebastian Raschka and Vahid Mirjalili
6. The Hundred-Page Machine Learning Book by Andriy Burkov
7. The Coming Wave : AI Power and our Future by Mustafa Suleyman and Michael Bhaskar
8. Deep Learning By Yoshua Bengio
9. Life 3.0: Being Human in the Age of Artificial Intelligence by Max Tegmark
Readers Reviews
Readers Reviews
- Hands-On ML – ⭐ Widely praised as the best practical ML book for applied learners
- Grokking Deep Learning – ⭐ Loved for its simplicity and engaging teaching style.
- AI: A Guide for Thinking Humans – ⭐ Insightful and accessible; ideal for curious minds.
- The Alignment Problem – ⭐ Eye-opening and important read on AI ethics.
- Python ML – ⭐ Comprehensive and great for developers; some find it dense.
- Hundred-Page ML Book – ⭐ Short, powerful, and to the point; great for quick revision.
Share
