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Machine Learning
A Proven, Hands-On Approach for Students without a Strong Statistical FoundationSince the best-selling first edition was published, there have been several prominent developments …
Sparse Modeling
Sparse models are particularly useful in scientific applications, such as biomarker discovery in genetic or neuroimaging data, where the interpretability of a predictive model is …
Autonomous Mobile Robotics
This book introduces the key topics and concepts in autonomous mobile robotics in an integrated way, where each of the functional subsystems that comprise a mobile robot are …
A Concise Introduction to Machine Learning
The emphasis of the book is on the question of Why – only if why an algorithm is successful is understood, can it be properly applied, and the results trusted. Algorithms are often …