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Deep learning in science

Fundamentals of the Theory of Computation: Principles and Practice : Principles and Practice

Computability, Complexity, and Languages : Fundamentals of Theoretical Computer Science

Learning Kernel Classifiers : Theory and Algorithms

Guide to Fortran 2008 Programming

Physically-Based Modeling for Computer Graphics : A Structured Approach

Applied Nonlinear Analysis

Practical smoothing : the joys of P-splines

Computational Statics and Dynamics : An Introduction Based on the Finite Element Method

Hands-On Image Generation with TensorFlow : A practical guide to generating images and videos using deep learning

The art of feature engineering : essentials for machine learning

Digital Moving Pictures - Coding and Transmission on ATM Networks : Volume 3

Hands-on artificial intelligence on Amazon Web Services : implement real-world smart cognitive applications through Amazon Web Services to intelligently interact with the world around you

Mastering PyTorch : build powerful neural network architectures using advanced PyTorch 1.x features

IBM Watson Projects : Eight exciting projects that put artificial intelligence into practice for optimal business performance

Bandit algorithms

Spectral Methods in MATLAB

Data Structures and Network Algorithms

Nonlinear Programming : Sequential Unconstrained Minimization Techniques

Introduction to Wavelets and Image Coding

Introduction to Symbolic Computation : Computers in Pure and Applied Mathematics

Image Analysis, Random Fields and Dynamic Monte Carlo Methods : A Mathematical Introduction

Number Theory in Science and Communication : With Applications in Cryptography, Physics, Digital Information, Computing and Self-similarity

Scheduling Algorithms

Multiobjective Problems of Mathematical Programmimg

An Introduction to Distributed Algorithms

Theoretical Aspects of Reasoning about Knowledge : Proceedings of the 1986-01 Conferences (TARK)

Dynamic Logic

Algorithms in Visual Basic

Principles of secure network systems design

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