Ashish Ranjan Jha received his bachelor's degree in electrical engineering from IIT Roorkee (India), a master's degree in Computer Science from EPFL (Switzerland), and an MBA degree from Quantic School of Business (Washington). He has received a distinction in all 3 of his degrees. He has worked for large technology companies, including Oracle and Sony as well as the more recent tech unicorns such as Revolut, mostly focused on artificial intelligence. He currently works as a machine learning engineer.
Ashish has worked on a range of products and projects, from developing an app that uses sensor data to predict the mode of transport to detecting fraud in car damage insurance claims. Besides being an author, machine learning engineer, and data scientist, he also blogs frequently on his personal blog site about the latest research and engineering topics around machine learning.
Ashish Ranjan Jha - ebooki
Tytuły autora: Ashish Ranjan Jha dostępne w księgarni Ebookpoint
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PyTorch is making it easier than ever before for anyone to build deep learning applications. This PyTorch deep learning book will help you uncover expert techniques to get the most out of your data and build complex neural network models.-
- PDF + ePub 134 pkt
(29,90 zł najniższa cena z 30 dni)
134.10 zł
149.00 zł (-10%) -
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Discover the flexibility of the PyTorch library for implementing new algorithms in a scalable and efficient way with this expert guide. This book will show you how to process data with deep learning methodologies using PyTorch 1.x and cover advanced topics such as GANs, Deep RL, and NLP using advanced deep learning techniques.
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- PDF + ePub + Mobi 152 pkt
(29,90 zł najniższa cena z 30 dni)
152.10 zł
169.00 zł (-10%) -
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Taking an engaging and practical approach, The Supervised Learning Workshop teaches you how to predict the output of new data, based on the relationship and behavior of?existing datasets. You’ll learn at your own pace and use Python libraries and Jupyter to build intelligent predictive models.?
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- PDF + ePub + Mobi 98 pkt
(29,90 zł najniższa cena z 30 dni)
98.10 zł
109.00 zł (-10%) -
