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Author Xudong Ma , Vishakh Hegde , Lilit Yolyan
Visualize and build deep learning models with 3D data using PyTorch3D and other Python frameworks to conquer real-world application challenges with easeKey FeaturesUnderstand 3D data processing with rendering, PyTorch optimization, and heterogeneous batchingImplement differentiable rendering concept....
Release Date 2022/10 -
A Developer's Guide to Building AI Applications
Author Wee Hyong Tok , Anand Raman
AI is accelerating the digital transformation for every industry, with examples ranging from manufacturing, retail, finance, healthcare, and many others. At this rate, every industry will be able to use AI to amplify human ingenuity. In this ebook, Joseph Sirosh, C....
Release Date 2018/07 -
A Developer's Guide to Building AI Applications, 2nd Edition
Author Elaine Chang , Darren Jefford
AI is everywhere. Once the sole domain of researchers and institutions, this technology has emerged in a wide variety of areas, including network infrastructure, platforms, and services. With AI, software developers now have the means to build a variety of intelligent sol....
Release Date 2020/04 -
A Guide to Convolutional Neural Networks for Computer Vision
Author Sven Dickinson , Gerard Medioni , Mohammed Bennamoun , Syed Ali Shah , Hossein Rahma
Computer vision has become increasingly important and effective in recent years due to its wide-ranging applications in areas as diverse as smart surveillance and monitoring, health and medicine, sports and recreation, robotics, drones, and self-driving cars. Visua....
Release Date 2018/02 -
Author Patrick Muldowney
A ground-breaking and practical treatment of probability and stochastic processesA Modern Theory of Random Variation is a new and radical re-formulation of the mathematical underpinnings of subjects as diverse as investment, communication engineering, and quantum me....
Release Date 2012/10 -
Author Slobodan Mijalković
Discover how Verilog-A is particularly designed to describe behavior and connectivity of circuits and system components for analog SPICE-class simulators, or for continuous time (SPICE-based) kernels in Verilog-AMS simulators. With continuous updates since it’s release 30 years ago, this practical g....
Release Date 2022/09 -
A Practical Introduction to Computer Vision with OpenCV
Author Kenneth Dawson-Howe
Explains the theory behind basic computer vision and provides a bridge from the theory to practical implementation using the industry standard OpenCV librariesComputer Vision is a rapidly expanding area and it is becoming progressively easier for developers to make ....
Release Date 2014/05 -
A Profile of the Health Management Industry
Author Velma Lee
Whether you are a seasoned manager who is considering a mid-career change or a college-bound graduate looking at future career in the health science profession, this book offers you a comprehensive, quick glimpse of the health care industry. This book will enable y....
Release Date 2016/08 -
Accelerating AI with Synthetic Data
Author Khaled El Emam
Recently, data scientists have found effective methods to generate high-quality synthetic data. That’s good news for companies seeking large amounts of data to train and build artificial intelligence and machine learning models. This report provides an overview of synthet....
Release Date 2020/06 -
Achieving Real Business Outcomes from Artificial Intelligence
Author Ben Mackenzie , Chad Meley , Atif Kureishy
Artificial intelligence is already changing industry landscapes, with early adopters reporting benefits in high-value business cases such as fraud detection, preventative maintenance, and recommendation engines. Yet working on an AI initiative is demanding for many....
Release Date 2018/11 -
Author Chanchal Chatterjee
Learn to use adaptive algorithms to solve real-world streaming data problems. This book covers a multitude of data processing challenges, ranging from the simple to the complex. At each step, you will gain insight into real-world use cases, find solutions, explore code used to solve these problems, ....
Release Date 2022/03 -
Advanced Applied Deep Learning : Convolutional Neural Networks and Object Detection
Author Umberto Michelucci
Develop and optimize deep learning models with advanced architectures. This book teaches you the intricate details and subtleties of the algorithms that are at the core of convolutional neural networks. In Advanced Applied Deep Learning, you will study advanced top....
Release Date 2019/09 -
Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples
Author Sayan Mukhopadhyay
Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such a....
Release Date 2018/03 -
Advanced Deep Learning with Keras
Author Rowel Atienza
A comprehensive guide to advanced deep learning techniques, including Autoencoders, GANs, VAEs, and Deep Reinforcement Learning, that drive today's most impressive AI results Key FeaturesExplore the most advanced deep learning techniques that drive modern AI resu....
Release Date 2018/10 -
Author Bharatendra Rai
Discover best practices for choosing, building, training, and improving deep learning models using Keras-R, and TensorFlow-R librariesKey FeaturesImplement deep learning algorithms to build AI models with the help of tips and tricks Understand how deep learning mod....
Release Date 2019/12 -
Advanced Deep Learning with TensorFlow 2 and Keras - Second Edition
Author Rowel Atienza
Updated and revised second edition of the bestselling guide to advanced deep learning with TensorFlow 2 and KerasKey FeaturesExplore the most advanced deep learning techniques that drive modern AI results New coverage of unsupervised deep learning using mutual informatio....
Release Date 2020/02 -
Advanced Machine Learning with Python
Author John Hearty
Solve challenging data science problems by mastering cutting-edge machine learning techniques in PythonAbout This BookResolve complex machine learning problems and explore deep learningLearn to use Python code for implementing a range of machine learning algorithms....
Release Date 2016/07 -
Advanced Machine Learning with R
Author Dr. Sunil Kumar Chinnamgari , Cory Lesmeister
Master an array of machine learning techniques with real-world projects that interface TensorFlow with R, H2O, MXNet, and other languagesKey FeaturesGain expertise in machine learning, deep learning, and predictive modeling techniques Build intelligent end-to-end p....
Release Date 2019/05 -
Advanced Machine Vision Paradigms for Medical Image Analysis
Author Tapan K. Gandhi , Siddhartha Bhattacharyya , Sourav De , Debanjan Konar , Sandip Dey
Computer vision and machine intelligence paradigms are prominent in the domain of medical image applications, including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomics. Medical image analysis and understanding are daunting tas....
Release Date 2020/08 -
Advanced Natural Language Processing with TensorFlow 2
One-stop solution for NLP practitioners, ML developers, and data scientists to build effective NLP systems that can perform real-world complicated tasksKey FeaturesApply deep learning algorithms and techniques such as BiLSTMS, CRFs, BPE and more using TensorFlow 2Explore applications like text gener.... -
Author Atif Memon
Advances in Computers, the latest volume in the series published since 1960, presents detailed coverage of innovations in computer hardware, software, theory, design, and applications. In addition, it provides contributors with a medium in which they can explore th....
Release Date 2017/02 -
Author Atif Memon
Advances in Computers, Volume 108, the latest volume in a series published since 1960, presents detailed coverage of innovations in computer hardware, software, theory, design and applications. This book provides contributors with a medium in which they can explore....
Release Date 2018/02 -
Advances in Financial Machine Learning
Author Marcos Lopez de Prado
Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will tra....
Release Date 2018/02 -
Author Carlo Appugliese , Paco Nathan , William S. Roberts
As more companies work to adopt AI for business processes, project costs and failure rates are on the rise. Why? No standard practice exists for implementing AI in business applications, and many organizations don’t have the skills, processes, and tools to mitigate risk. ....
Release Date 2020/04 -
Author Alexandre Bergel
Cover classical algorithms commonly used as artificial intelligence techniques and program agile artificial intelligence applications using Pharo. This book takes a practical approach by presenting the implementation details to illustrate the numerous concepts it explains....
Release Date 2020/06 -
Agile Machine Learning: Effective Machine Learning Inspired by the Agile Manifesto
Author Matthew Hurst , Eric Carter
Build resilient applied machine learning teams that deliver better data products through adapting the guiding principles of the Agile Manifesto.Bringing together talented people to create a great applied machine learning team is no small feat. With developers and d....
Release Date 2019/08 -
Author Ben Lorica , Paco Nathan
While O’Reilly has identified several trends among enterprise companies for adopting artificial intelligence, we decided to drill down further to learn just how businesses worldwide are planning and prioritizing this work. In a recent survey, we asked respondents about re....
Release Date 2019/02 -
AI Adoption in the Enterprise 2021
There's no question: more people are using AI than ever before, and companies across industries are striving to get AI projects up and running. But how many have actually put revenue-bearing products into production? And how does your own organization measure up? In this new report, Mike Loukides, ....