Amvik eBook Solutions

Trained to extract actionable information from large volumes of high-dimensional data, engineers and scientists often have trouble isolating meaningful low-dime

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying thei

This second edition focuses on audio, image and video data, the three main types of input that machines deal with when interacting with the real world. A set of

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, opti

Statistical learning and analysis techniques have become extremely important today, given the tremendous growth in the size of heterogeneous data collections an