<span><p><b>Build a strong foundation of machine learning algorithms in 7 days</b></p><h4>Key Features</h4><ul><li>Use Python and its wide array of machine learning libraries to build predictive models </li><li>Learn the basics of the 7 most widely used machine learning algorithms within a week <
Data Science Algorithms in a Week
β Scribed by DΓ‘vid Natingga
- Publisher
- Packt
- Year
- 2017
- Tongue
- English
- Leaves
- 198
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
"Machine 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
<h4>Key Features</h4><ul><li>Get to know seven algorithms for your data science needs in this concise, insightful guide</li><li>Ensure youβre confident in the basics by learning when and where to use various data science algorithms</li><li>Learn to use machine learning algorithms in a period of just
<p><span>Build a strong foundation of machine learning algorithms in 7 days</span></p><h4><span>Key Features</span></h4><ul><li><span><span>Use Python and its wide array of machine learning libraries to build predictive models </span></span></li><li><span><span>Learn the basics of the 7 most widely
This textbook on practical data analytics unites fundamental principles, algorithms, and data. Algorithms are the keystone of data analytics and the focal point of this textbook. Clear and intuitive explanations of the mathematical and statistical foundations make the algorithms transparent. But pra