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Deep Learning Engineering Books Categories
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Deep Learning Engineering Books Categories
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Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)
By:
Kevin P. Murphy
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Building Intelligent Applications with Julia: Harnessing Machine Learning and Deep Learning for AI (Understand Julia Programming language for building Robust and intelligent Apps)
By:
Jace Connor
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GPU Programming Fundamentals with CUDA (Hardcover)
By:
Jamie Flux
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Java AI for Beginners : Building Intelligent Applications with Weka, Deeplearning4j, and Spark MLlib (Kindle Edition)
By:
Badal Tripathy
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Causal Inference and Discovery in Python: Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more (Paperback)
By:
Aleksander Molak
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Applied Deep Learning with Python: Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions (Kindle Edition)
By:
Alex Galea
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Machine Learning for Fraud Detection in Financial Services: A Practical Approach with AWS Sagemaker (Kindle Edition)
By:
Edi Wibowo
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Tips for fintech innovation using Python AI - Latest methods for financial fraud detection and risk assessment using machine learning - (Japanese Edition)
By:
R
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Deep Learning (Kindle Edition)
By:
John D. Kelleher
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Large Language Models in Cybersecurity: Threats, Exposure and Mitigation (Paperback)
By:
Andrei Kucharavy
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Solitonic Neural Networks: An Innovative Photonic Neural Network Based on Solitonic Interconnections (Machine Intelligence for Materials Science)
By:
Alessandro Bile
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Photonic Neural Networks with Spatiotemporal Dynamics: Paradigms of Computing and Implementation (Hardcover)
By:
Hideyuki Suzuki
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Thinking Like A Large Language Model: Become an AI manager (Analyzing and Understanding AI)
By:
Mukund Sundararajan
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LLM Engineer's Handbook: Master the art of engineering large language models from concept to production (Kindle Edition)
By:
Paul Iusztin
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Large Language Models: A Deep Dive: Bridging Theory and Practice (Hardcover)
By:
Uday Kamath
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Understanding Large Language Models: Learning Their Underlying Concepts and Technologies (Paperback)
By:
Thimira Amaratunga
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Pretrain Vision and Large Language Models in Python: End-to-end techniques for building and deploying foundation models on AWS (Kindle Edition)
By:
Emily Webber
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Swarm Intelligence and Bio-Inspired Computation: 4. Memetic Self-Adaptive Firefly Algorithm (Kindle Edition)
By:
Iztok Fister
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Pyomo – Optimization Modeling in Python (Springer Optimization and Its Applications)
By:
William E. Hart
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Recent Advances in Memetic Algorithms (Studies in Fuzziness and Soft Computing, 166)
By:
William E. Hart
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AI-Assisted Programming: Better Planning, Coding, Testing, and Deployment (Paperback)
By:
Tom Taulli
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Quick Start Guide to Large Language Models: Strategies and Best Practices for Using ChatGPT and Other LLMs (Kindle Edition)
By:
Sinan Ozdemir
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System Design on AWS: Building and Scaling Enterprise Solutions (Paperback)
By:
Jayanth Kumar
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Behavior Trees in Robotics and AI: An Introduction (Chapman & Hall/CRC Artificial Intelligence and Robotics Series)
By:
Michele Colledanchise
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Regression Analysis with Python (Paperback)
By:
Alberto Boschetti
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Developing Apps with GPT-4 and ChatGPT: Build Intelligent Chatbots, Content Generators, and More (Paperback)
By:
Olivier Caelen
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Dynamic Biological Networks: The Stomatogastric Nervous System (Computational Neuroscience)
By:
Ronald M. Harris-Warrick
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OpenGeoSys-Tutorial: Computational Hydrology I: Groundwater Flow Modeling (SpringerBriefs in Earth System Sciences)
By:
Agnes Sachse
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Computational Geotechnics: Storage of Energy Carriers (SpringerBriefs in Energy)
By:
Thomas Nagel
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Geoenergy Modeling I: Geothermal Processes in Fractured Porous Media (Computational Modeling of Energy Systems)
By:
Norbert Böttcher
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Theoretical Advances in Neural Computation and Learning (Paperback)
By:
Vwani Roychowdhury
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Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more (Kindle Edition)
By:
Maxim Lapan
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Fuzzy sets and their applications to cognitive and decision processes: [papers] (Hardcover)
By:
Lotfi A. Zadeh
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Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval ... Intelligence and Applications, 160) (Hardcover)
By:
Kostas Karpouzis
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Computer Networks, Architecture and Applications: Proceedings of the IFIP TC6 conference 1994 (IFIP Advances in Information and Communication Technology)
By:
S.V. Raghavan
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Functional Neuroimaging of Visual Cognition (Attention and Performance Series)
By:
Nancy Kanwisher
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Digital Image Processing and Computer Vision (Hardcover)
By:
Robert J. Schalkoff
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Advances in Neural Information Processing Systems 14: Proceedings of the 2001 Neural Information Processing Systems (NIPS) Conference (2 Volume Set)
By:
Thomas G. Dietterich
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Principal Component Neural Networks: Theory and Applications (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)
By:
Konstantinos Diamantaras
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An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
By:
Gareth James
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Methods for Statistical Analysis of Reliability and Life Data (Wiley Series in Probability and Statistics - Applied Probability and Statistics Section)
By:
Nancy R. Mann
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Statistical Analysis for Environmental Data with R (Paperback)
By:
Barbara Steiger
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Intelligence Enabled Research: DoSIER 2021 (Studies in Computational Intelligence Book 1029)
By:
Siddhartha Bhattacharyya
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Internet of Things-Based Machine Learning in Healthcare (Hardcover)
By:
Prasenjit Dey
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Intelligence Enabled Research: DoSIER 2021 (Studies in Computational Intelligence)
By:
Siddhartha Bhattacharyya
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Machine Learning for Big Data Analysis (Frontiers in Computational Intelligence)
By:
Siddhartha Bhattacharyya
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Machine Learning for Big Data Analysis (De Gruyter Frontiers in Computational Intelligence, 1)
By:
Siddhartha Bhattacharyya
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Feature Dimension Reduction for Content-Based Image Identification (Advances in Multimedia and Interactive Technologies)
By:
Rik Das