How Long to Read Data Science Algorithms in a Week

How Long Does it Take to Read Data Science Algorithms in a Week?

It takes the average reader 3 hours and 30 minutes to read Data Science Algorithms in a Week by David Natingga

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

Description

Build strong foundation of machine learning algorithms In 7 days.About This Book* Get to know seven algorithms for your data science needs in this concise, insightful guide* Ensure you're confident in the basics by learning when and where to use various data science algorithms* Learn to use machine learning algorithms in a period of just 7 daysWho This Book Is ForThis book is for aspiring data science professionals who are familiar with Python and have a statistics background. It is ideal for developers who are currently implementing one or two data science algorithms and want to learn more to expand their skill set.What You Will Learn* Find out how to classify using Naive Bayes, Decision Trees, and Random Forest to achieve accuracy to solve complex problems* Identify a data science problem correctly and devise an appropriate prediction solution using Regression and Time-series* See how to cluster data using the k-Means algorithm* Get to know how to implement the algorithms efficiently in the Python and R languagesIn DetailMachine learning applications are highly automated and self-modifying, and they continue to improve over time with minimal human intervention as they learn with more data. To address the complex nature of various real-world data problems, specialized machine learning algorithms have been developed that solve these problems perfectly. Data science helps you gain new knowledge from existing data through algorithmic and statistical analysis.This book will address the problems related to accurate and efficient data classification and prediction. Over the course of 7 days, you will be introduced to seven algorithms, along with exercises that will help you learn different aspects of machine learning. You will see how to pre-cluster your data to optimize and classify it for large datasets. You will then find out how to predict data based on the existing trends in your datasets.This book covers algorithms such as: k-Nearest Neighbors, Naive Bayes, Decision Trees, Random Forest, k-Means, Regression, and Time-series. On completion of the book, you will understand which machine learning algorithm to pick for clustering, classification, or regression and which is best suited for your problem.Style and approachMachine learning applications are highly automated and self-modifying which continue to improve over time with minimal human intervention as they learn with more data. To address the complex nature of various real world data problems, specialized machine learning algorithms have been developed that solve these problems perfectly.

How long is Data Science Algorithms in a Week?

Data Science Algorithms in a Week by David Natingga is 210 pages long, and a total of 52,500 words.

This makes it 71% the length of the average book. It also has 64% more words than the average book.

How Long Does it Take to Read Data Science Algorithms in a Week Aloud?

The average oral reading speed is 183 words per minute. This means it takes 4 hours and 46 minutes to read Data Science Algorithms in a Week aloud.

What Reading Level is Data Science Algorithms in a Week?

Data Science Algorithms in a Week 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 Science Algorithms in a Week?

Data Science Algorithms in a Week by David Natingga 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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