Traditional books on machine learning can be divided into two groups โ those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those that are primers on how to code algorithms. The field is ready for a text that not only demonstrates how to use the al
Machine Learning. An Algorithmic Perspective 2nd ed.
โ Scribed by Stephen Marsland
- Publisher
- CRC
- Year
- 2015
- Tongue
- English
- Leaves
- 443
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
<P>Traditional books on machine learning can be divided into two groups โ those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those that are primers on how to code algorithms. The field is ready for a text that not only demonstrates how to use the
<P>Introduction. Linear Discriminants. The Multi-Layer Perceptron. Radial Basis Functions and Splines. Support Vector Machines. Learning with Trees. Decision by Committee: Ensemble Learning. Probability and Learning. Unsupervised Learning. Dimensionality Reduction. Optimization and Search. Evolution
<P><EM>A Proven, Hands-On Approach for Students without a Strong Statistical Foundation</EM></P> <P></P> <P>Since the best-selling first edition was published, there have been several prominent developments in the field of machine learning, including the increasing work on the statistical interpreta
This textbook, fully updated to feature Python version 3.7, covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules. The entire text, including all the figures and numerical results, is reproducible using the Python codes and their associated Jup