358 rezultatov
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Natural Language Processing with PyTorchlow(2019) RAO, DELIP,MCMAHAN, BRIANIf you’re a developer or data scientist new to NLP and deep learning, this practical guide shows you how to apply these methods using PyTorch, a Python-based deep learning library.Vezava: Mehka92,91 € -
Text Mining with R(2017) SILGE, JULIA,ROBINSON, DAVIDTackle a variety of tasks in natural language processing by learning how to use the R language and tidy data principles. This practical guide provides examples and resources to help you get up to speed with dplyr, broom, ggplot2, and other tidy tools fromVezava: Mehka44,85 € -
Essential Math for Data Science(2022) NIELD, THOMASTo succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math you'll need in data science, including probability, statistics, hypothesis testing, linear algebraVezava: Mehka68,39 € -
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AI and Machine Learning For Coders(2020) MORONEY, LAURENCEIf 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 confVezava: Mehka68,39 € -
Practical AI on the Google Cloud Platform(2020) LANHAM, MICHEALWorking with AI is complicated and expensive for many developers. That's why cloud providers have stepped in to make it easier, offering free (or affordable) state-of-the-art models and training tools. With this book, you'll learn how to use Google's AI-pVezava: Mehka82,59 €
