Matlab machine learning recipes

1 Overview2 Data Representation3 MATLAB Graphics4 Kalman Filters5 Adaptive Control6 Fuzzy Logic7 Data Classification with Decision Trees8 Simple Neural Nets9 Classification with Neural Nets10 Neural Nets with Deep Learning11 Neural Aircraft Control12 Multiple Hypothesis Testing13 Autonomous Driving with MHT14 Case-Based Expert SystemsAppendix A: A Brief History of Autonomous LearningAppendix B: So...

1 Overview2 Data Representation3 MATLAB Graphics4 Kalman Filters5 Adaptive Control6 Fuzzy Logic7 Data Classification with Decision Trees8 Simple Neural Nets9 Classification with Neural Nets10 Neural Nets with Deep Learning11 Neural Aircraft Control12 Multiple Hypothesis Testing13 Autonomous Driving with MHT14 Case-Based Expert SystemsAppendix A: A Brief History of Autonomous LearningAppendix B: So...

1 Overview2 Data Representation3 MATLAB Graphics4 Kalman Filters5 Adaptive Control6 Fuzzy Logic7 Data Classification with Decision Trees8 Simple Neural Nets9 Classification with Neural Nets10 Neural Nets with Deep Learning11 Neural Aircraft Control12 Multiple Hypothesis Testing13 Autonomous Driving with MHT14 Case-Based Expert SystemsAppendix A: A Brief History of Autonomous LearningAppendix B: So...

1 Overview2 Data Representation3 MATLAB Graphics4 Kalman Filters5 Adaptive Control6 Fuzzy Logic7 Data Classification with Decision Trees8 Simple Neural Nets9 Classification with Neural Nets10 Neural Nets with Deep Learning11 Neural Aircraft Control12 Multiple Hypothesis Testing13 Autonomous Driving with MHT14 Case-Based Expert SystemsAppendix A: A Brief History of Autonomous LearningAppendix B: So...

Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critical to machine learning. Each example solves a real-world problem. All code in MATLAB Machine Learning Recipes: A Problem-Solution Approach is executable. The toolbox that the code uses provides a complete set of functions needed to implement all aspects...

Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critical to machine learning. Each example solves a real-world problem. All code in MATLAB Machine Learning Recipes: A Problem-Solution Approach is executable. The toolbox that the code uses provides a complete set of functions needed to implement all aspects...

1 Overview2 Data Representation3 MATLAB Graphics4 Kalman Filters5 Adaptive Control6 Fuzzy Logic7 Data Classification with Decision Trees8 Simple Neural Nets9 Classification with Neural Nets10 Neural Nets with Deep Learning11 Neural Aircraft Control12 Multiple Hypothesis Testing13 Autonomous Driving with MHT14 Case-Based Expert SystemsAppendix A: A Brief History of Autonomous LearningAppendix B: So...

Harness the power of MATLAB for deep-learning challenges. Practical MATLAB Deep Learning, Second Edition, remains a one-of a-kind book that provides an introduction to deep learning and using MATLABs deep-learning toolboxes. In this book, youll see how these toolboxes provide the complete set of functions needed to implement all aspects of deep learning. This edition includes new and expanded proj...