Pablo Maldonado is an applied mathematician and data scientist who has had a taste for software development since his days of programming BASIC on a Tandy 1000. As an academic and business consultant, he spends a great deal of his time building applied artificial intelligence solutions for text analytics, sensor and transactional data, and reinforcement learning. Pablo earned his Ph.D. in applied mathematics (with a focus on mathematical game theory) at the Universite Pierre et Marie Curie in Paris, France.
Pablo Maldonado
Tytuły autora: Pablo Maldonado dostępne w księgarni Ebookpoint
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This Learning Path is your step-by-step guide to building deep learning models using R's wide range of deep learning libraries and frameworks. Through multiple real-world projects and expert guidance and tips, you'll gain the exact knowledge you need to get started with developing deep models using R.-
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R is a popular programming language used by statisticians and mathematicians for statistical analysis, and is popularly used for deep learning. This book demonstrates end-to-end implementations of five real-world projects on popular topics in deep learning such as handwritten digit recognition, traffic light detection, fraud detection, text generat
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- PDF + ePub + Mobi 98 pkt
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98.10 zł
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