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 37 minutes to read Data Science Algorithms in a Week by Dávid Natingga

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

Description

Build a strong foundation of machine learning algorithms in 7 days Key FeaturesUse Python and its wide array of machine learning libraries to build predictive models Learn the basics of the 7 most widely used machine learning algorithms within a weekKnow when and where to apply data science algorithms using this guideBook Description Machine learning applications are highly automated and self-modifying, and continue to improve over time with minimal human intervention, as they learn from the trained data. To address the complex nature of various real-world data problems, specialized machine learning algorithms have been developed. Through algorithmic and statistical analysis, these models can be leveraged to gain new knowledge from existing data as well. Data Science Algorithms in a Week addresses all problems related to accurate and efficient data classification and prediction. Over the course of seven days, you will be introduced to seven algorithms, along with exercises that will help you understand different aspects of machine learning. You will see how to pre-cluster your data to optimize and classify it for large datasets. This book also guides you in predicting data based on existing trends in your dataset. This book covers algorithms such as k-nearest neighbors, Naive Bayes, decision trees, random forest, k-means, regression, and time-series analysis. By the end of this book, you will understand how to choose machine learning algorithms for clustering, classification, and regression and know which is best suited for your problem What you will learnUnderstand how to identify a data science problem correctlyImplement well-known machine learning algorithms efficiently using PythonClassify your datasets using Naive Bayes, decision trees, and random forest with accuracyDevise an appropriate prediction solution using regressionWork with time series data to identify relevant data events and trendsCluster your data using the k-means algorithmWho this book is for This book is for aspiring data science professionals who are familiar with Python and have a little background in statistics. You’ll also find this book useful if you’re currently working with data science algorithms in some capacity and want to expand your skill set

How long is Data Science Algorithms in a Week?

Data Science Algorithms in a Week by Dávid Natingga is 214 pages long, and a total of 54,356 words.

This makes it 72% the length of the average book. It also has 66% 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 57 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 Dávid 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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