How Long to Read Machine Learning for Audio, Image and Video Analysis

How Long Does it Take to Read Machine Learning for Audio, Image and Video Analysis?

It takes the average reader 9 hours and 23 minutes to read Machine Learning for Audio, Image and Video Analysis by Francesco Camastra

Assuming a reading speed of 250 words per minute. Learn more

Description

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 appendices provides the reader with self-contained introductions to the mathematical background necessary to read the book. Divided into three main parts, From Perception to Computation introduces methodologies aimed at representing the data in forms suitable for computer processing, especially when it comes to audio and images. Whilst the second part, Machine Learning includes an extensive overview of statistical techniques aimed at addressing three main problems, namely classification (automatically assigning a data sample to one of the classes belonging to a predefined set), clustering (automatically grouping data samples according to the similarity of their properties) and sequence analysis (automatically mapping a sequence of observations into a sequence of human-understandable symbols). The third part Applications shows how the abstract problems defined in the second part underlie technologies capable to perform complex tasks such as the recognition of hand gestures or the transcription of handwritten data. Machine Learning for Audio, Image and Video Analysis is suitable for students to acquire a solid background in machine learning as well as for practitioners to deepen their knowledge of the state-of-the-art. All application chapters are based on publicly available data and free software packages, thus allowing readers to replicate the experiments.

How long is Machine Learning for Audio, Image and Video Analysis?

Machine Learning for Audio, Image and Video Analysis by Francesco Camastra is 561 pages long, and a total of 140,811 words.

This makes it 189% the length of the average book. It also has 172% more words than the average book.

How Long Does it Take to Read Machine Learning for Audio, Image and Video Analysis Aloud?

The average oral reading speed is 183 words per minute. This means it takes 12 hours and 49 minutes to read Machine Learning for Audio, Image and Video Analysis aloud.

What Reading Level is Machine Learning for Audio, Image and Video Analysis?

Machine Learning for Audio, Image and Video Analysis 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.

Where Can I Buy Machine Learning for Audio, Image and Video Analysis?

Machine Learning for Audio, Image and Video Analysis by Francesco Camastra is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

To buy Machine Learning for Audio, Image and Video Analysis by Francesco Camastra on Amazon click the button below.