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Neural Network Projects with Python: The ultimate guide to using Python to explore the true power of neural networks through six projects, by James Loy
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Über den Autor und weitere Mitwirkende
James Loy has more than five years, expert experience in data science in the finance and healthcare industries. He has worked with the largest bank in Singapore to drive innovation and improve customer loyalty through predictive analytics. He has also experience in the healthcare sector, where he applied data analytics to improve decision-making in hospitals. He has a master's degree in computer science from Georgia Tech, with a specialization in machine learning. His research interest includes deep learning and applied machine learning, as well as developing computer-vision-based AI agents for automation in industry. He writes on Towards Data Science, a popular machine learning website with more than 3 million views per month.
Produktinformation
Taschenbuch: 308 Seiten
Verlag: Packt Publishing (28. Februar 2019)
Sprache: Englisch
ISBN-10: 1789138906
ISBN-13: 978-1789138900
Größe und/oder Gewicht:
19 x 1,8 x 23,5 cm
Durchschnittliche Kundenbewertung:
5.0 von 5 Sternen
1 Kundenrezension
Amazon Bestseller-Rang:
Nr. 13.590 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)
Very efficient read, you will know what types of neural networks exist and how to use existing methods. This book will not teach you how to do the research for your own custom neural network methods, but that is quite unnecessary most of the time. This book does a very good job in staying on the high level logic, instead of getting lost in mathematical details.
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