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Hands-On Machine Learning with Scikit-Learn and PyTorch

Concepts, Tools, and Techniques to Build Intelligent Systems

by Aurélien Géron ...

The potential of machine learning today is extraordinary, yet many aspiring developers and tech professionals find themselves daunted by its complexity. Whether you're looking to enhance your skill set and apply machine learning to real-world projects or are simply curious about how AI systems function, this book is your jumping-off place.With an approachable yet deeply informative style, author ... Read more

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The potential of machine learning today is extraordinary, yet many aspiring developers and tech professionals find themselves daunted by its complexity. Whether you're looking to enhance your skill set and apply machine learning to real-world projects or are simply curious about how AI systems function, this book is your jumping-off place.With an approachable yet deeply informative style, author
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Applied Machine Learning and AI for Engineers

Solve Business Problems That Can't Be Solved Algorithmically

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While many introductory guides to AI are calculus books in disguise, this one mostly eschews the math. Instead, author Jeff Prosise helps engineers and software developers build an intuitive understanding of AI to solve business problems. Need to create a system to detect the sounds of illegal logging in the rainforest, analyze text for sentiment, or predict early failures in rotating machinery? ... Read more

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While many introductory guides to AI are calculus books in disguise, this one mostly eschews the math. Instead, author Jeff Prosise helps engineers and software developers build an intuitive understanding of AI to solve business problems. Need to create a system to detect the sounds of illegal logging in the rainforest, analyze text for sentiment, or predict early failures in rotating machinery?
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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

by Aurélien Géron ...

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) ... Read more

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Grasshopper: Visual Scripting for Rhinoceros 3D

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We live in a three-dimensional world. To design objects for everyday living, users must learn how to create in three dimensions. For precise modern designs that must conform to specific tolerances, we use computers to create a digital model first, and then pass that model on to a machine, such as a CNC router or 3D printer for fabrication.There are many software packages that are used to create ... Read more

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We live in a three-dimensional world. To design objects for everyday living, users must learn how to create in three dimensions. For precise modern designs that must conform to specific tolerances, we use computers to create a digital model first, and then pass that model on to a machine, such as a CNC router or 3D printer for fabrication.There are many software packages that are used to create
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Implementing MLOps in the Enterprise

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With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational machine learning pipelines. This practical guide helps your company bring data science to life for different real-world MLOps scenarios. Senior data scientists, MLOps engineers, and machine learning engineers will learn how to tackle challenges that prevent many businesses from ... Read more

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With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational machine learning pipelines. This practical guide helps your company bring data science to life for different real-world MLOps scenarios. Senior data scientists, MLOps engineers, and machine learning engineers will learn how to tackle challenges that prevent many businesses from
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Deep Learning on Embedded Systems

A Hands-On Approach Using Jetson Nano and Raspberry Pi

by Tariq M. Arif ...

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Comprehensive, accessible introduction to deep learning for engineering tasks through Python programming, low-cost hardware, and freely available softwareDeep Learning on Embedded Systems is a comprehensive guide to the practical implementation of deep learning for engineering tasks through computers and embedded hardware such as Raspberry Pi and Nvidia Jetson Nano. After an introduction to the
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Hands-On Machine Learning with C++

Build, train, and deploy end-to-end machine learning and deep learning pipelines

by Kirill Kolodiazhnyi ...

Implement supervised and unsupervised machine learning algorithms using C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib with the help of real-world examples and datasetsKey FeaturesBecome familiar with data processing, performance measuring, and model selection using various C++ librariesImplement practical machine learning and deep learning techniques to build ... Read more

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Implement supervised and unsupervised machine learning algorithms using C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib with the help of real-world examples and datasetsKey FeaturesBecome familiar with data processing, performance measuring, and model selection using various C++ librariesImplement practical machine learning and deep learning techniques to build
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Computer Vision for Visual Effects

by Richard J. Radke ...

Modern blockbuster movies seamlessly introduce impossible characters and action into real-world settings using digital visual effects. These effects are made possible by research from the field of computer vision, the study of how to automatically understand images. Computer Vision for Visual Effects will educate students, engineers and researchers about the fundamental computer vision principles ... Read more

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Modern blockbuster movies seamlessly introduce impossible characters and action into real-world settings using digital visual effects. These effects are made possible by research from the field of computer vision, the study of how to automatically understand images. Computer Vision for Visual Effects will educate students, engineers and researchers about the fundamental computer vision principles
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Big Data

Statistics, Data Mining, Analytics, And Pattern Learning

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Learning OpenCV

Computer Vision with the OpenCV Library

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Generative AI with Python and TensorFlow 2

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In this project, you will create a multi-form GUI to implement digital signal processing. Creating a GUI involves designing an interface where users can input parameters and visualize the results of various signal processing techniques. Each form corresponds to a specific technique and is implemented using the tkinter library.The "Simple Sinusoidal Form" allows users to generate and visualize a
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Series series Computer Science (R0)
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This work focuses on central catadioptric systems, from the early step of calibration to high-level tasks such as 3D information retrieval. The book opens with a thorough introduction to the sphere camera model, along with an analysis of the relation between this model and actual central catadioptric systems. Then, a new approach to calibrate any single-viewpoint catadioptric camera is described.
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The second edition of this accepted reference work has been updated to reflect the rapid developments in the field and now covers both 2D and 3D imaging.Written by expert practitioners from leading companies operating in machine vision, this one-stop handbook guides readers through all aspects of image acquisition and image processing, including optics, electronics and software. The authors
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The Science of Deep Learning

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The Science of Deep Learning emerged from courses taught by the author that have provided thousands of students with training and experience for their academic studies, and prepared them for careers in deep learning, machine learning, and artificial intelligence in top companies in industry and academia. The book begins by covering the foundations of deep learning, followed by key deep learning
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Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017

Edited by Marek Kurzynski, Michal Wozniak, Robert Burduk ...

Series series Springer Nature Proceedings excluding Computer Science
This book offers a comprehensive study of computer recognition systems – one of the most promising directions in artificial intelligence. It presents a collection of 52 carefully selected articles contributed by experts in the field of pattern recognition, discussing both methodological aspects and applications of current research. It includes the following sections:· Features, learning, and ... Read more

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This book offers a comprehensive study of computer recognition systems – one of the most promising directions in artificial intelligence. It presents a collection of 52 carefully selected articles contributed by experts in the field of pattern recognition, discussing both methodological aspects and applications of current research. It includes the following sections:· Features, learning, and
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Design Patterns: Elements of Reusable Object-Oriented Software

Elements of Reusable Object-Oriented Software

by Erich Gamma, Richard Helm, Ralph Johnson, John Vlissides ...

Capturing a wealth of experience about the design of object-oriented software, four top-notch designers present a catalog of simple and succinct solutions to commonly occurring design problems. Previously undocumented, these 23 patterns allow designers to create more flexible, elegant, and ultimately reusable designs without having to rediscover the design solutions themselves.The authors begin by ... Read more

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Capturing a wealth of experience about the design of object-oriented software, four top-notch designers present a catalog of simple and succinct solutions to commonly occurring design problems. Previously undocumented, these 23 patterns allow designers to create more flexible, elegant, and ultimately reusable designs without having to rediscover the design solutions themselves.The authors begin by
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Why Machines Learn

The Elegant Math Behind Modern AI

by Anil Ananthaswamy ...

A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligenceMachine learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumor is cancerous, or deciding if someone gets bail. They now influence developments and discoveries in chemistry, biology, and physics—the study ... Read more

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A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligenceMachine learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumor is cancerous, or deciding if someone gets bail. They now influence developments and discoveries in chemistry, biology, and physics—the study
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Deep Learning

by John D. Kelleher ...

Series series The MIT Press Essential Knowledge series
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DEEP LEARNING FOR BEGINNERS: Get an accessible introduction to the artificial intelligence technology at the heart of the AI revolution—from driverless cars to speech recognition on mobile phones.Deep learning is an artificial intelligence technology that enables computer vision, machine translation, AI games, driverless cars, and other applications. When we use consumer products from Google,
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Foundations of Robotics

A Multidisciplinary Approach with Python and ROS

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This open access book introduces key concepts in robotics in an easy to understand language using an engaging project-based approach. It covers contemporary topics in robotics, providing an accessible entry point to fundamentals in all the major domains. A section is dedicated to introducing programming concepts using Python, which has become a language of choice in robotics and AI. The book also ... Read more

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This open access book introduces key concepts in robotics in an easy to understand language using an engaging project-based approach. It covers contemporary topics in robotics, providing an accessible entry point to fundamentals in all the major domains. A section is dedicated to introducing programming concepts using Python, which has become a language of choice in robotics and AI. The book also
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Advances in Financial Machine Learning

by Marcos Lopez de Prado ...

Learn to understand and implement the latest machine learning innovations to improve your investment performanceMachine learning (ML) is changing virtually every aspect of our lives. Today, ML algorithms accomplish tasks that – until recently – only expert humans could perform. And finance is ripe for disruptive innovations that will transform how the following generations understand money and ... Read more

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Learn to understand and implement the latest machine learning innovations to improve your investment performanceMachine learning (ML) is changing virtually every aspect of our lives. Today, ML algorithms accomplish tasks that – until recently – only expert humans could perform. And finance is ripe for disruptive innovations that will transform how the following generations understand money and
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Deep Learning Fundamentals in Python

Master Data Science and Machine Learning with Modern Neural Networks written in Python, Theano, and TensorFlow

by Lazy Programmer ...

Deep learning is making waves. At the time of this writing (March 2016), Google’s AlghaGo program just beat 9-dan professional Go player Lee Sedol at the game of Go, a Chinese board game. Experts in the field of Artificial Intelligence thought we were 10 years away from achieving a victory against a top professional Go player, but progress seems to have accelerated! While deep learning is a ... Read more

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Deep learning is making waves. At the time of this writing (March 2016), Google’s AlghaGo program just beat 9-dan professional Go player Lee Sedol at the game of Go, a Chinese board game. Experts in the field of Artificial Intelligence thought we were 10 years away from achieving a victory against a top professional Go player, but progress seems to have accelerated! While deep learning is a
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The Deep Learning Revolution

by Terrence J. Sejnowski ...

**Explore how deep learning—from Google Translate and Siri to driverless cars—is changing our lives and transforming every sector of the economy.“An important and timely book, written by a gifted scientist at the cutting edge of the AI revolution.” —Nature**The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, ... Read more

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**Explore how deep learning—from Google Translate and Siri to driverless cars—is changing our lives and transforming every sector of the economy.“An important and timely book, written by a gifted scientist at the cutting edge of the AI revolution.” —Nature**The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa,
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Recommended For You

Computer Vision eBooks

Hands-On Machine Learning with Scikit-Learn and PyTorch

Applied Machine Learning and AI for Engineers

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

Grasshopper: Visual Scripting for Rhinoceros 3D

Implementing MLOps in the Enterprise

Deep Learning on Embedded Systems

Hands-On Machine Learning with C++

Computer Vision for Visual Effects

Big Data

Learning OpenCV

Generative AI with Python and TensorFlow 2

Data Warehousing

START FROM SCRATCH DIGITAL SIGNAL PROCESSING WITH TKINTER

Omnidirectional Vision Systems

Handbook of Machine and Computer Vision

The Science of Deep Learning

Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017

Design Patterns: Elements of Reusable Object-Oriented Software

Why Machines Learn

Deep Learning

Foundations of Robotics

Advances in Financial Machine Learning

Deep Learning Fundamentals in Python

The Deep Learning Revolution