Machine Learning with Python for Everyone

<p>Students are rushing to master powerful machine learning techniques for improving decision-making and scaling analysis to immense datasets. <b>Machine Learning with Python for Everyone </b>brings together all they'll need to succeed: a practical understanding of the machine learning process, accessible code, skills for implementing that process with Python and the scikit-learn library, and real expertise in using learning systems intelligently.</p> <p> </p> <p>Reflecting 20 years of experience teaching non-specialists, Dr. Mark Fenner teaches through carefully-crafted datasets that are complex enough to be interesting, but simple enough for non-specialists. Building on this foundation, Fenner presents real-world case studies that apply his lessons in detailed, nuanced ways. Throughout, he offers clear narratives, practical "code-alongs," and easy-to-understand images -- focusing on mathematics only where it's necessary to make connections and deepen insight.</p> <p> </p> <p> </p> <ul> <li> All students need to succeed in data science with Python: process, code, and implementation </li> <li>Students will understand the machine learning process, leverage the powerful Python scikit-learn library, and master the algorithmic components of learning systems </li> <li>Integrates clear narrative, carefully designed Python code, images, and interesting, intelligible datasets</li> </ul> <p><b>All you need to succeed in data science with Python: process, code, and implementation</b></p> <ul> <li>Understand the machine learning process, leverage the powerful Python scikit-learn library, and master the algorithmic components of learning systems </li> <li>Integrates clear narrative, carefully designed Python code, images, and interesting, intelligible datasets </li> <li>For wide audiences of analysts, managers, project leads, statisticians, developers, and students who want a quick jumpstart into data science</li> </ul>