Core Machine Learning and Deep Learning: Supervised, Unsupervised, Reinforcement Learning, Neural Networks, Optimization, and Transfer Learning

By Axionics Ltd

This all-in-one resource walks you through the full spectrum of machine learning. From foundational math to supervised, unsupervised, and reinforcement learning, it provides a thorough understanding of core ML and DL principles.

Ideal for both beginners and advancing practitioners, it includes hands-on tools, practical algorithms, and insights into neural networks and optimization techniques.

What's Inside?
✔ Regression, classification, and ensemble models
✔ Clustering, anomaly detection, and dimensionality reduction
✔ Reinforcement learning: Q-learning, DQNs, and MDPs
✔ Neural networks: MLPs, backpropagation, and activation functions
✔ Optimization: SGD, Adam, and regularization
✔ Transfer learning, feature extraction, and deployment
✔ Bias-variance tradeoff and model evaluation

Why This Book?
Because understanding the core mechanics of learning systems is key to building reliable, ethical, and high-performing AI models.

• Format: Paperback
• Language: English
• ISBN: B0FGWH13LV
• ISBN13: 9798291198339
• Release Date: July 2025
• Publisher: Independently Published
• Length: 168 Pages
• Weight: 0.51 lbs.
• Dimensions: 0.4" x 6.0" x 9.0"