It takes the average reader 9 hours and 26 minutes to read Machine Learning by Marco Gori
Assuming a reading speed of 250 words per minute. Learn more
Machine Learning: A Constraint-Based Approach, Second Edition provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that include neural networks and kernel machines. The book presents the information in a truly unified manner that is based on the notion of learning from environmental constraints. It draws a path towards deep integration with machine learning that relies on the idea of adopting multivalued logic formalisms, such as in fuzzy systems. Special attention is given to deep learning, which nicely fits the constrained-based approach followed in this book.The book presents a simpler unified notion of regularization, which is strictly connected with the parsimony principle, including many solved exercises that are classified according to the Donald Knuth ranking of difficulty, which essentially consists of a mix of warm-up exercises that lead to deeper research problems. A software simulator is also included. Presents, in a unified manner, fundamental machine learning concepts, such as neural networks and kernel machines Provides in-depth coverage of unsupervised and semi-supervised learning, with new content in hot growth areas such as deep learning Includes a software simulator for kernel machines and learning from constraints that also covers exercises to facilitate learning Contains hundreds of solved examples and exercises chosen particularly for their progression of difficulty from simple to complex Supported by a free, downloadable companion book designed to facilitate students’ acquisition of experimental skills
Machine Learning by Marco Gori is 562 pages long, and a total of 141,624 words.
This makes it 190% the length of the average book. It also has 173% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 12 hours and 53 minutes to read Machine Learning aloud.
Machine Learning is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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