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[ FreeCourseWeb.com ] Data Science Algorithms in a Week: Top 7 algorithms for scientific computing, data analysis, and machine learning, 2nd Edition
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English | ISBN: 9781789806076 | 216 pages | October 31, 2018 | EPUB | 29.42 MB
Build a strong foundation of machine learning algorithms in 7 days
Key Features
Use 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 week
Know when and where to apply data science algorithms using this guide
Book 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.
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