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Neural Search - From Prototype to Production with Jina
Author Bo Wang , Cristian Mitroi , Feng Wang , Shubham Saboo , Susana Guzmán
Implement neural search systems on the cloud by leveraging Jina design patternsKey FeaturesIdentify the different search techniques and discover applications of neural searchGain a solid understanding of vector representation and apply your knowledge in neural searchUnlock deeper levels of knowledge....
Release Date 2022/10 -
Deep Learning with TensorFlow and Keras - Third Edition
Author Amita Kapoor , Antonio Gulli , Sujit Pal , François Chollet
Build cutting edge machine and deep learning systems for the lab, production, and mobile devicesKey FeaturesUnderstand the fundamentals of deep learning and machine learning through clear explanations and extensive code samplesImplement graph neural networks, transformers using Hugging Face and Tens....
Release Date 2022/10 -
Interpretable Machine Learning with Python - Second Edition
Author Serg Masís
A deep and detailed dive into the key aspects and challenges of machine learning interpretability, complete with the know-how on how to overcome and leverage them to build fairer, safer, and more reliable modelsKey FeaturesExtract easy-to-understand insights from any machine learning modelBecome wel....
Release Date 2022/10 -
Machine Learning Techniques for Text
Author Nikos Tsourakis
Take your Python text processing skills to another level by learning about the latest natural language processing and machine learning techniques with this full color guideKey FeaturesLearn how to acquire and process textual data and visualize the key findingsObtain deeper insight into the most comm....
Release Date 2022/10 -
Machine Learning Engineering on AWS
Author Joshua Arvin Lat
Work seamlessly with production-ready machine learning systems and pipelines on AWS by addressing key pain points encountered in the ML life cycleKey FeaturesGain practical knowledge of managing ML workloads on AWS using Amazon SageMaker, Amazon EKS, and moreUse container and serverless services to ....
Release Date 2022/10 -
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 -
Author Terisa Roberts , Stephen J. Tonna
A wide-ranging overview of the use of machine learning and AI techniques in financial risk management, including practical advice for implementation Risk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning introduces readers ....
Release Date 2022/09 -
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 -
Practical Automated Machine Learning Using H2O.ai
Author Salil Ajgaonkar
Accelerate the adoption of machine learning by automating away the complex parts of the ML pipeline using H2O.aiKey FeaturesLearn how to train the best models with a single click using H2O AutoMLGet a simple explanation of model performance using H2O ExplainabilityEasily deploy your trained models t....
Release Date 2022/09 -
Designing Human-Centric AI Experiences: Applied UX Design for Artificial Intelligence
Author Akshay Kore
User experience (UX) design practices have seen a fundamental shift as more and more software products incorporate machine learning (ML) components and artificial intelligence (AI) algorithms at their core. This book will probe into UX design’s role in making technologies inclusive and enabling u....
Release Date 2022/08 -
Data Cleaning and Exploration with Machine Learning
Author Michael Walker
Explore supercharged machine learning techniques to take care of your data laundry loadsKey FeaturesLearn how to prepare data for machine learning processesUnderstand which algorithms are based on prediction objectives and the properties of the dataExplore how to interpret and evaluate the results f....
Release Date 2022/08 -
Production-Ready Applied Deep Learning
Author Tomasz Palczewski , Jaejun Lee , Lenin Mookiah
Supercharge your skills for developing powerful deep learning models and distributing them at scale efficiently using cloud servicesKey FeaturesUnderstand how to execute a deep learning project effectively using various tools availableLearn how to develop PyTorch and TensorFlow models at scale using....
Release Date 2022/08 -
Artificial Intelligence in Industry 4.0 and 5G Technology
Author Pandian Vasant , Elias Munapo , J. Joshua Thomas , Gerhard-Wilhelm Weber
Artificial Intelligence in Industry 4.0 and 5G TechnologyExplores innovative and value-added solutions for application problems in the commercial, business, and industry sectorsAs the pace of Artificial Intelligence (AI) technology innovation continues to accelerate, identifying the appropriate AI c....
Release Date 2022/07 -
Author Umang Singh , San Murugesan , Ashish Seth
EMERGING COMPUTING PARADIGMSA holistic overview of major new computing paradigms of the 21st CenturyIn Emerging Computing Paradigms: Principles, Advances and Applications, international scholars offer a compendium of essential knowledge on new promising computing paradigms. The book examines the cha....
Release Date 2022/07 -
Author Parma Nand , Uzzal Sharma , Jyotir Moy Chatterjee , Vishal Jain , Noor Zaman Jhanjhi
CYBER-PHYSICAL SYSTEMSThe 13 chapters in this book cover the various aspects associated with Cyber-Physical Systems (CPS) such as algorithms, application areas, and the improvement of existing technology such as machine learning, big data and robotics.Cyber-Physical Systems (CPS) is the interconnect....
Release Date 2022/07 -
Computer Vision Projects with PyTorch: Design and Develop Production-Grade Models
Author Akshay Kulkarni , Adarsha Shivananda , Nitin Ranjan Sharma
Design and develop end-to-end, production-grade computer vision projects for real-world industry problems. This book discusses computer vision algorithms and their applications using PyTorch.The book begins with the fundamentals of computer vision: convolutional neural nets, RESNET, YOLO, data augme....
Release Date 2022/07 -
Author Ajay Thampi
AI doesn’t have to be a black box. These practical techniques help shine a light on your model’s mysterious inner workings. Make your AI more transparent, and you’ll improve trust in your results, combat data leakage and bias, and ensure compliance with legal requirements. In Interpretable AI, yo....
Release Date 2022/07 -
Machine Learning at Scale with H2O
Author Gregory Keys , David Whiting
Build predictive models using large data volumes and deploy them to production using cutting-edge techniquesKey FeaturesBuild highly accurate state-of-the-art machine learning models against large-scale dataDeploy models for batch, real-time, and streaming data in a wide variety of target production....
Release Date 2022/07 -
Applied Machine Learning Explainability Techniques
Author Aditya Bhattacharya
Leverage top XAI frameworks to explain your machine learning models with ease and discover best practices and guidelines to build scalable explainable ML systemsKey FeaturesExplore various explainability methods for designing robust and scalable explainable ML systemsUse XAI frameworks such as LIME ....
Release Date 2022/07 -
Machine Learning for Streaming Data with Python
Author Joos Korstanje
Apply machine learning to streaming data with the help of practical examples, and deal with challenges that surround streamingKey FeaturesWork on streaming use cases that are not taught in most data science coursesGain experience with state-of-the-art tools for streaming dataMitigate various challen....
Release Date 2022/07 -
Natural Language Processing with TensorFlow - Second Edition
Author Thushan Ganegedara , Andrei Lopatenko
From introductory NLP tasks to Transformer models, this new edition teaches you to utilize powerful TensorFlow APIs to implement end-to-end NLP solutions driven by performant ML (Machine Learning) modelsKey FeaturesLearn to solve common NLP problems effectively with TensorFlow 2.xImplement end-to-en....
Release Date 2022/07 -
Designing Machine Learning Systems
Many tutorials show you how to develop ML systems from ideation to deployed models. But with constant changes in tooling, those systems can quickly become outdated. Without an intentional design to hold the components together, these systems will become a technical liability, prone to errors and be .... -
Feature Store for Machine Learning
Author Jayanth Kumar M J
Learn how to leverage feature stores to make the most of your machine learning modelsKey FeaturesUnderstand the significance of feature stores in the ML life cycleDiscover how features can be shared, discovered, and re-usedLearn to make features available for online models during inferenceBook Descr....
Release Date 2022/06 -
Machine Learning on Kubernetes
Author Faisal Masood , Ross Brigoli
Build a Kubernetes-based self-serving, agile data science and machine learning ecosystem for your organization using reliable and secure open source technologiesKey FeaturesBuild a complete machine learning platform on KubernetesImprove the agility and velocity of your team by adopting the self-serv....
Release Date 2022/06 -
Graph-Powered Analytics and Machine Learning with TigerGraph
With the rapid rise of graph databases, organizations are now implementing advanced analytics and machine learning solutions to help drive business outcomes. This practical guide shows data scientists, data engineers, architects, and business analysts how to get started with a graph database using T.... -
Author Ulrika Jagare
A holistic and real-world approach to operationalizing artificial intelligence in your companyIn Operating AI, Director of Technology and Architecture at Ericsson AB, Ulrika Jägare, delivers an eye-opening new discussion of how to introduce your organization to artificial intelligence by balanc....
Release Date 2022/05 -
Mastering Azure Machine Learning - Second Edition
Author Christoph Körner , Marcel Alsdorf
Supercharge and automate your deployments to Azure Machine Learning clusters and Azure Kubernetes Service using Azure Machine Learning servicesKey FeaturesImplement end-to-end machine learning pipelines on AzureTrain deep learning models using Azure compute infrastructureDeploy machine learning mode....
Release Date 2022/05 -
Author Sandeep Kumar Panda , Ramesh Kumar Mohapatra , Subhrakanta Panda , S. Balamurugan
THE NEW ADVANCED SOCIETYIncluded in this book are the fundamentals of Society 5.0, artificial intelligence, and the industrial Internet of Things, featuring their working principles and application in different sectors.A 360-degree view of the different dimensions of the digital revolution is presen....
Release Date 2022/04 -
Machine Learning Engineering in Action
Author Ben Wilson
Field-tested tips, tricks, and design patterns for building machine learning projects that are deployable, maintainable, and secure from concept to production. In Machine Learning Engineering in Action, you will learn: Evaluating data science problems to find the most effective solutionScoping a....
Release Date 2022/04 -
Author Paul Daugherty , H. James Wilson
Technology advances are making tech more . . . human. This changes everything you thought you knew about innovation and strategy.In their groundbreaking book, Human + Machine, Accenture technology leaders Paul R. Daugherty and H. James Wilson showed how leading organizations use the power of human-m....
Release Date 2022/04