If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.
You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code.
You'll learn: how to build models with TensorFlow using skills that employers desire; the basics of machine learning by working with code samples; how to implement computer vision, including feature detection in images; how to use NLP to tokenize and sequence words and sentences; methods for embedding models in Android and iOS; and how to serve models over the web and in the cloud with TensorFlow Serving.
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Courtney Patterson graduated magna cum laude with a BA in theater performance from Valdosta State University. She is an associate artist at Georgia Shakespeare where she has appeared in dozens of shows, taught in the education department, and developed a cabaret series. She can also be seen frequently on the stages of the Alliance Theatre and has also worked at the Aurora Theatre, Theatre in the Square, Theatrical Outfit, Synchronicity Performance Group, and the Horizon Theatre. In addition to her work on stage, she narrates audiobooks and performs in film and television.