Programming Machine Learning : From Coding to Deep Learning
Paolo Perrotta
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Data Analytics : Models and Algorithms for Intelligent Data Analysis
Thomas A. Runkler
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Netzwerk- und Datensicherheit : Eine praktische Einfuhrung
Martin Kappes
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Design Patterns fur mathematische Beweise : Ein Leitfaden insbesondere fur Informatiker
Hans Jurgen Ohlbach
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Statistical Foundations of Actuarial Learning and its Applications
Mario V. Wuthrich
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Bayesian Filtering and Smoothing
Simo (Aalto University, Finland) Sarkka
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Introduction to Transformers for NLP : With the Hugging Face Library and Models to Solve Problems
Shashank Mohan Jain
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TensorFlow for Deep Learning : From Linear Regression to Reinforcement Learning
Bharath Ramsundar
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TensorFlow for Deep Learning : From Linear Regression to Reinforcement Learning
Bharath Ramsundar
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Machine Learning with Python Cookbook : Practical Solutions from Preprocessing to Deep Learning
Chris Albon
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Machine Learning with Python Cookbook : Practical Solutions from Preprocessing to Deep Learning
Chris Albon
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Guide to Competitive Programming : Learning and Improving Algorithms Through Contests
Antti Laaksonen
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Hands-On Design Patterns and Best Practices with Julia : Proven solutions to common problems in software design for Julia 1.x
Kwong Tom Kwong
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Mastering Functional Programming : Functional techniques for sequential and parallel programming with Scala
Kmetiuk Anatolii Kmetiuk
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