How Long to Read Hands-On Machine Learning with C#

How Long Does it Take to Read Hands-On Machine Learning with C#?

It takes the average reader 4 hours and 38 minutes to read Hands-On Machine Learning with C# by Matt R. Cole

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

Description

Explore supervised and unsupervised learning techniques and add smart features to your applications Key Features Leverage machine learning techniques to build real-world applications Use the Accord.NET machine learning framework for reinforcement learning Implement machine learning techniques using Accord, nuML, and Encog Book Description The necessity for machine learning is everywhere, and most production enterprise applications are written in C# using tools such as Visual Studio, SQL Server, and Microsoft Azur2e. Hands-On Machine Learning with C# uniquely blends together an understanding of various machine learning concepts, techniques of machine learning, and various available machine learning tools through which users can add intelligent features.These tools include image and motion detection, Bayes intuition, and deep learning, to C# .NET applications. Using this book, you will learn to implement supervised and unsupervised learning algorithms and will be better equipped to create excellent predictive models. In addition, you will learn both supervised and unsupervised forms of regression, mainly logistic and linear regression, in depth. Next, you will use the nuML machine learning framework to learn how to create a simple decision tree. In the concluding chapters, you will use the Accord.Net machine learning framework to learn sequence recognition of handwritten numbers using dynamic time warping. We will also cover advanced concepts such as artificial neural networks, autoencoders, and reinforcement learning. By the end of this book, you will have developed a machine learning mindset and will be able to leverage C# tools, techniques, and packages to build smart, predictive, and real-world business applications. What you will learn Learn to parameterize a probabilistic problem Use Naive Bayes to visually plot and analyze data Plot a text-based representation of a decision tree using nuML Use the Accord.NET machine learning framework for associative rule-based learning Develop machine learning algorithms utilizing fuzzy logic Explore support vector machines for image recognition Understand dynamic time warping for sequence recognition Who this book is for Hands-On Machine Learning with C#is forC# .NETdevelopers who work on a range of platforms from .NET and Windows to mobile devices. Basic knowledge of statistics is required.

How long is Hands-On Machine Learning with C#?

Hands-On Machine Learning with C# by Matt R. Cole is 274 pages long, and a total of 69,596 words.

This makes it 92% the length of the average book. It also has 85% more words than the average book.

How Long Does it Take to Read Hands-On Machine Learning with C# Aloud?

The average oral reading speed is 183 words per minute. This means it takes 6 hours and 20 minutes to read Hands-On Machine Learning with C# aloud.

What Reading Level is Hands-On Machine Learning with C#?

Hands-On Machine Learning with C# 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 Hands-On Machine Learning with C#?

Hands-On Machine Learning with C# by Matt R. Cole is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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