How Long to Read Data Cleaning and Exploration with Machine Learning

How Long Does it Take to Read Data Cleaning and Exploration with Machine Learning?

It takes the average reader 9 hours and 6 minutes to read Data Cleaning and Exploration with Machine Learning by Michael Walker

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

Description

Explore supercharged machine learning techniques to take care of your data laundry loads Key FeaturesLearn how to prepare data for machine learning processesUnderstand which algorithms are based on prediction objectives and the properties of the dataExplore how to interpret and evaluate the results from machine learningBook Description Many individuals who know how to run machine learning algorithms do not have a good sense of the statistical assumptions they make and how to match the properties of the data to the algorithm for the best results. As you start with this book, models are carefully chosen to help you grasp the underlying data, including in-feature importance and correlation, and the distribution of features and targets. The first two parts of the book introduce you to techniques for preparing data for ML algorithms, without being bashful about using some ML techniques for data cleaning, including anomaly detection and feature selection. The book then helps you apply that knowledge to a wide variety of ML tasks. You'll gain an understanding of popular supervised and unsupervised algorithms, how to prepare data for them, and how to evaluate them. Next, you'll build models and understand the relationships in your data, as well as perform cleaning and exploration tasks with that data. You'll make quick progress in studying the distribution of variables, identifying anomalies, and examining bivariate relationships, as you focus more on the accuracy of predictions in this book. By the end of this book, you'll be able to deal with complex data problems using unsupervised ML algorithms like principal component analysis and k-means clustering. What you will learnExplore essential data cleaning and exploration techniques to be used before running the most popular machine learning algorithmsUnderstand how to perform preprocessing and feature selection, and how to set up the data for testing and validationModel continuous targets with supervised learning algorithmsModel binary and multiclass targets with supervised learning algorithmsExecute clustering and dimension reduction with unsupervised learning algorithmsUnderstand how to use regression trees to model a continuous targetWho this book is for This book is for professional data scientists, particularly those in the first few years of their career, or more experienced analysts who are relatively new to machine learning. Readers should have prior knowledge of concepts in statistics typically taught in an undergraduate introductory course as well as beginner-level experience in manipulating data programmatically.

How long is Data Cleaning and Exploration with Machine Learning?

Data Cleaning and Exploration with Machine Learning by Michael Walker is 542 pages long, and a total of 136,584 words.

This makes it 183% the length of the average book. It also has 167% more words than the average book.

How Long Does it Take to Read Data Cleaning and Exploration with Machine Learning Aloud?

The average oral reading speed is 183 words per minute. This means it takes 12 hours and 26 minutes to read Data Cleaning and Exploration with Machine Learning aloud.

What Reading Level is Data Cleaning and Exploration with Machine Learning?

Data Cleaning and Exploration with 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.

Where Can I Buy Data Cleaning and Exploration with Machine Learning?

Data Cleaning and Exploration with Machine Learning by Michael Walker 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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