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Innovative Engineering with AI Applications

Anamika Ahirwar, Piyush Kumar Shukla, Manish Shrivastava, Priti Maheshwary, Bhup

Responsible AI

Machine Learning Techniques for VLSI Chip Design

Abhishek Kumar, Suman Lata Tripathi, K. Srinivasa Rao

Privacy-Preserving Machine Learning

Morris Chang, Dumindu Samaraweera, Di Zhuang

Convergence of Cloud with AI for Big Data Analytics

Danda B. Rawat, Lalit K. Awasthi, Valentina Emilia Balas, Mohit Kumar, Jitendra

Brain-Computer Interface

M.G. Sumithra, Rajesh Kumar Dhanaraj, Mariofanna Milanova, Balamurugan Balusamy,

Learning OpenCV 5 Computer Vision with Python - Fourth Edition

Joseph Howse, Joe Minichino

Essential Math for AI

Synthetic Data for Deep Learning : Generate Synthetic Data for Decision Making and Applications with Python and R

Necmi Gürsakal, Sadullah Çelik, Esma Birişçi

Convergence: Artificial Intelligence and Quantum Computing

Greg Viggiano, David Brin

Machine Learning Security Principles

John Paul Mueller, Rod Stephens

Machine Learning Model Serving Patterns and Best Practices

Md Johirul Islam

Applied Machine Learning and High-Performance Computing on AWS

Mani Khanuja, Farooq Sabir, Shreyas Subramanian, Trenton Potgieter

Time Series Algorithms Recipes: Implement Machine Learning and Deep Learning Techniques with Python

Akshay R Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, V Adithya Krishnan

Pro Deep Learning with TensorFlow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in Python

Santanu Pattanayak

PyTorch Recipes: A Problem-Solution Approach to Build, Train and Deploy Neural Network Models

Pradeepta Mishra

Reinforcement Learning for Finance: Solve Problems in Finance with CNN and RNN Using the TensorFlow Library

Samit Ahlawat

Modern Deep Learning for Tabular Data: Novel Approaches to Common Modeling Problems

Andre Ye, Zian Wang

Deep Learning for Genomics

Upendra Kumar Devisetty

Applied Machine Learning for Healthcare and Life Sciences Using AWS

Ujjwal Ratan

Prediction Machines, Updated and Expanded

Ajay Agrawal, Joshua Gans, Avi Goldfarb

Deep Learning for Natural Language Processing

Stephan Raaijmakers

Applied Machine Learning and AI for Engineers

Jeff Prosise

Winning the National Security AI Competition: A Practical Guide for Government and Industry Leaders

Chris Whitlock, Frank Strickland

3D Deep Learning with Python

Xudong Ma, Vishakh Hegde, Lilit Yolyan

Machine Learning Engineering on AWS

Joshua Arvin Lat

Machine Learning Techniques for Text

Nikos Tsourakis

Interpretable Machine Learning with Python - Second Edition

Serg Masís

Deep Learning with TensorFlow and Keras - Third Edition

Amita Kapoor, Antonio Gulli, Sujit Pal, François Chollet

Neural Search - From Prototype to Production with Jina

Bo Wang, Cristian Mitroi, Feng Wang, Shubham Saboo, Susana Guzmán

Innovative Engineering with AI Applications

Author Anamika Ahirwar , Piyush Kumar Shukla , Manish Shrivastava , Priti Maheshwary , Bhup
Release Date 2023/08
Innovative Engineering with AI ApplicationsInnovative Engineering with AI Applications demonstrates how we can innovate in different engineering domains as well as how to make most business problems simpler by applying AI to them. Engineering advancements combined with artificial intelligence (AI), ....
Responsible AI

Author
Release Date 2023/08
The past decade has witnessed a wide adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight into their widespread implementation has resulted in harmful outcomes that could have been avoided with proper oversight. Before we can realize AI/ML's tr....
Machine Learning Techniques for VLSI Chip Design

Author Abhishek Kumar , Suman Lata Tripathi , K. Srinivasa Rao
Release Date 2023/07
MACHINE LEARNING TECHNIQUES FOR VLSI CHIP DESIGNThis cutting-edge new volume covers the hardware architecture implementation, the software implementation approach, the efficient hardware of machine learning applications with FPGA or CMOS circuits, and many other aspects and applications of machine l....
Privacy-Preserving Machine Learning

Author Morris Chang , Dumindu Samaraweera , Di Zhuang
Release Date 2023/05
Keep sensitive user data safe and secure without sacrificing the performance and accuracy of your machine learning models. In Privacy Preserving Machine Learning, you will learn: Privacy considerations in machine learningDifferential privacy techniques for machine learningPrivacy-preserving synt....
Convergence of Cloud with AI for Big Data Analytics

Author Danda B. Rawat , Lalit K. Awasthi , Valentina Emilia Balas , Mohit Kumar , Jitendra
Release Date 2023/03
CONVERGENCE of CLOUD with AI for BIG DATA ANALYTICSThis book covers the foundations and applications of cloud computing, AI, and Big Data and analyses their convergence for improved development and services.The 17 chapters of the book masterfully and comprehensively cover the intertwining concepts o....
Brain-Computer Interface

Author M.G. Sumithra , Rajesh Kumar Dhanaraj , Mariofanna Milanova , Balamurugan Balusamy
Release Date 2023/03
BRAIN-COMPUTER INTERFACEIt covers all the research prospects and recent advancements in the brain-computer interface using deep learning.The brain-computer interface (BCI) is an emerging technology that is developing to be more functional in practice. The aim is to establish, through experiences wit....
Learning OpenCV 5 Computer Vision with Python - Fourth Edition

Author Joseph Howse , Joe Minichino
Release Date 2023/02
Updated for OpenCV 5, this book covers the latest on depth cameras, 3D navigation, deep neural networks, and Cloud computing, helping you solve real-world computer vision problems with practical codeKey FeaturesBuild powerful computer vision applications in concise code with OpenCV 5 and Python 3Lea....
Essential Math for AI

Author
Release Date 2023/02
Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications r....
Synthetic Data for Deep Learning : Generate Synthetic Data for Decision Making and Applications with Python and R

Author Necmi Gürsakal , Sadullah Çelik , Esma Birişçi
Release Date 2023/01
Data is the indispensable fuel that drives the decision making of everything from governments, to major corporations, to sports teams. Its value is almost beyond measure. But what if that data is either unavailable or problematic to access? That’s where synthetic data comes in. This book will show y....
Convergence: Artificial Intelligence and Quantum Computing

Author Greg Viggiano , David Brin
Release Date 2023/01
Prepare for the coming convergence of AI and quantum computingA collection of essays from 20 renowned, international authors working in industry, academia, and government, Convergence: Artificial Intelligence and Quantum Computing explains the impending convergence of artificial intelligence and qua....
Machine Learning Security Principles

Author John Paul Mueller , Rod Stephens
Release Date 2022/12
Thwart hackers by preventing, detecting, and misdirecting access before they can plant malware, obtain credentials, engage in fraud, modify data, poison models, corrupt users, eavesdrop, and otherwise ruin your dayKey FeaturesDiscover how hackers rely on misdirection and deep fakes to fool even the ....
Machine Learning Model Serving Patterns and Best Practices

Author Md Johirul Islam
Release Date 2022/12
Become a successful machine learning professional by effortlessly deploying machine learning models to production and implementing cloud-based machine learning models for widespread organizational useKey FeaturesLearn best practices about bringing your models to productionExplore the tools available....
Applied Machine Learning and High-Performance Computing on AWS

Author Mani Khanuja , Farooq Sabir , Shreyas Subramanian , Trenton Potgieter
Release Date 2022/12
Build, train, and deploy large machine learning models at scale in various domains such as computational fluid dynamics, genomics, autonomous vehicles, and numerical optimization using Amazon SageMakerKey FeaturesUnderstand the need for high-performance computing (HPC)Build, train, and deploy large ....
Time Series Algorithms Recipes: Implement Machine Learning and Deep Learning Techniques with Python

Author Akshay R Kulkarni , Adarsha Shivananda , Anoosh Kulkarni , V Adithya Krishnan
Release Date 2022/12
This book teaches the practical implementation of various concepts for time series analysis and modeling with Python through problem-solution-style recipes, starting with data reading and preprocessing. It begins with the fundamentals of time series forecasting using statistical modeling method....
Pro Deep Learning with TensorFlow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in Python

Author Santanu Pattanayak
Release Date 2022/12
This book builds upon the foundations established in its first edition, with updated chapters and the latest code implementations to bring it up to date with Tensorflow 2.0.Pro Deep Learning with TensorFlow 2.0 begins with the mathematical and core technical foundations of deep learning. Next, you w....
PyTorch Recipes: A Problem-Solution Approach to Build, Train and Deploy Neural Network Models

Author Pradeepta Mishra
Release Date 2022/12
Learn how to use PyTorch to build neural network models using code snippets updated for this second edition. This book includes new chapters covering topics such as distributed PyTorch modeling, deploying PyTorch models in production, and developments around PyTorch with updated code.You'll start b....
Reinforcement Learning for Finance: Solve Problems in Finance with CNN and RNN Using the TensorFlow Library

Author Samit Ahlawat
Release Date 2022/12
This book introduces reinforcement learning with mathematical theory and practical examples from quantitative finance using the TensorFlow library.Reinforcement Learning for Finance begins by describing methods for training neural networks. Next, it discusses CNN and RNN – two kinds of neural networ....
Modern Deep Learning for Tabular Data: Novel Approaches to Common Modeling Problems

Author Andre Ye , Zian Wang
Release Date 2022/12
Deep learning is one of the most powerful tools in the modern artificial intelligence landscape. While having been predominantly applied to highly specialized image, text, and signal datasets, this book synthesizes and presents novel deep learning approaches to a seemingly unlikely domain – tabular ....
Deep Learning for Genomics

Author Upendra Kumar Devisetty
Release Date 2022/11
Learn concepts, methodologies, and applications of deep learning for building predictive models from complex genomics data sets to overcome challenges in the life sciences and biotechnology industriesKey FeaturesApply deep learning algorithms to solve real-world problems in the field of genomicsExtr....
Applied Machine Learning for Healthcare and Life Sciences Using AWS

Author Ujjwal Ratan
Release Date 2022/11
Build real-world artificial intelligence apps on AWS to overcome challenges faced by healthcare providers and payers, as well as pharmaceutical, life sciences research, and commercial organizationsKey FeaturesLearn about healthcare industry challenges and how machine learning can solve themExplore A....
Prediction Machines, Updated and Expanded

Author Ajay Agrawal , Joshua Gans , Avi Goldfarb
Release Date 2022/11
Named one of "The five best books to understand AI" by The EconomistThe impact AI will have is profound, but the economic framework for understanding it is surprisingly simple.Artificial intelligence seems to do the impossible, magically bringing machines to life—driving cars, trading stocks, and te....
Deep Learning for Natural Language Processing

Author Stephan Raaijmakers
Release Date 2022/11
Explore the most challenging issues of natural language processing, and learn how to solve them with cutting-edge deep learning! Inside Deep Learning for Natural Language Processing you’ll find a wealth of NLP insights, including: An overview of NLP and deep learningOne-hot text representationsW....
Applied Machine Learning and AI for Engineers

Author Jeff Prosise
Release Date 2022/11
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 loggi....
Winning the National Security AI Competition: A Practical Guide for Government and Industry Leaders

Author Chris Whitlock , Frank Strickland
Release Date 2022/11
In introducing the National Security Commission on AI’s final report, Eric Schmidt, former Google CEO, and Robert Work, former Deputy Secretary of Defense, wrote: “The human talent deficit is the government’s most conspicuous AI deficit and the single greatest inhibitor to buying, building, and fiel....
3D Deep Learning with Python

Author Xudong Ma , Vishakh Hegde , Lilit Yolyan
Release Date 2022/10
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....
Machine Learning Engineering on AWS

Author Joshua Arvin Lat
Release Date 2022/10
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 ....
Machine Learning Techniques for Text

Author Nikos Tsourakis
Release Date 2022/10
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....
Interpretable Machine Learning with Python - Second Edition

Author Serg Masís
Release Date 2022/10
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....
Deep Learning with TensorFlow and Keras - Third Edition

Author Amita Kapoor , Antonio Gulli , Sujit Pal , François Chollet
Release Date 2022/10
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....
Neural Search - From Prototype to Production with Jina

Author Bo Wang , Cristian Mitroi , Feng Wang , Shubham Saboo , Susana Guzmán
Release Date 2022/10
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....

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