Machine Learning For Dummies

<p><b>Your</b><b> comprehensive entry-level guide to machine learning</b> </p> <p>While machine learning expertise doesn’t quite mean you can create your own Turing Test-proof android—as in the movie <i>Ex Machina</i>—it <i>is</i> a form of artificial intelligence and one of the most exciting technological means of identifying opportunities and solving problems fast and on a large scale. Anyone who masters the principles of machine learning is mastering a big part of our tech future and opening up incredible new directions in careers that include fraud detection, optimizing search results, serving real-time ads, credit- scoring, building accurate and sophisticated pricing models—and way, way more. </p> <p>Unlike most machine learning books, the fully updated 2^nd Edition of <i>Machine Learning For Dummies </i>doesn’t assume you have years of experience using programming languages such as Python (R source is also included in a downloadable form with comments and explanations), but lets you in on the ground floor, covering the entry-level materials that will get you up and running building models you need to perform practical tasks. It takes a look at the underlying—and fascinating—math principles that power machine learning but also shows that you don’t need to be a math whiz to build fun new tools and apply them to your work and study.  </p> <ul style=”margin-bottom: 0in; font-size: medium; margin-top: 0in; user-select: text; -webkit-user-drag: none; -webkit-tap-highlight-color: transparent; cursor: text; overflow: visible;” type=”disc”> <li style=”margin: 0in 0in 0.0001pt 0.25in; font-size: 11pt; font-family: Calibri, sans-serif; vertical-align: baseline; user-select: text; -webkit-user-drag: none; -webkit-tap-highlight-color: transparent; cursor: text; overflow: visible;”>Understand the history of AI and machine learning </li> <li style=”margin: 0in 0in 0.0001pt 0.25in; font-size: 11pt; font-family: Calibri, sans-serif; vertical-align: baseline; user-select: text; -webkit-user-drag: none; -webkit-tap-highlight-color: transparent; cursor: text; overflow: visible;”>Work with Python 3.8 and TensorFlow 2.x (and R as a download) </li> <li style=”margin: 0in 0in 0.0001pt 0.25in; font-size: 11pt; font-family: Calibri, sans-serif; vertical-align: baseline; user-select: text; -webkit-user-drag: none; -webkit-tap-highlight-color: transparent; cursor: text; overflow: visible;”>Build and test your own models </li> <li style=”margin: 0in 0in 0.0001pt 0.25in; font-size: 11pt; font-family: Calibri, sans-serif; vertical-align: baseline; user-select: text; -webkit-user-drag: none; -webkit-tap-highlight-color: transparent; cursor: text; overflow: visible;”>Use the latest datasets, rather than the worn out data found in other books </li> <li style=”margin: 0in 0in 0.0001pt 0.25in; font-size: 11pt; font-family: Calibri, sans-serif; vertical-align: baseline; user-select: text; -webkit-user-drag: none; -webkit-tap-highlight-color: transparent; cursor: text; overflow: visible;”>Apply machine learning to real problems </li> </ul> <p>Whether you want to learn for college or to enhance your business or career performance, this friendly beginner’s guide is your best introduction to machine learning, allowing you to become quickly confident using this amazing and fast-developing technology that’s impacting lives for the better all over the world.  </p> <p> </p>