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Machine Learning Techniques for VLSI Chip Design
Author Abhishek Kumar , Suman Lata Tripathi , K. Srinivasa Rao
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....
Release Date 2023/07 -
Privacy-Preserving Machine Learning
Author Morris Chang , Dumindu Samaraweera , Di Zhuang
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....
Release Date 2023/05 -
Author Necmi Gürsakal , Sadullah Çelik , Esma Birişçi
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....
Release Date 2023/01 -
Modern Deep Learning for Tabular Data: Novel Approaches to Common Modeling Problems
Author Andre Ye , Zian Wang
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 ....
Release Date 2022/12 -
Author Samit Ahlawat
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....
Release Date 2022/12 -
PyTorch Recipes: A Problem-Solution Approach to Build, Train and Deploy Neural Network Models
Author Pradeepta Mishra
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....
Release Date 2022/12 -
Author Santanu Pattanayak
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....
Release Date 2022/12 -
Time Series Algorithms Recipes: Implement Machine Learning and Deep Learning Techniques with Python
Author Akshay R Kulkarni , Adarsha Shivananda , Anoosh Kulkarni , V Adithya Krishnan
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....
Release Date 2022/12 -
Applied Machine Learning and High-Performance Computing on AWS
Author Mani Khanuja , Farooq Sabir , Shreyas Subramanian , Trenton Potgieter
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 ....
Release Date 2022/12 -
Machine Learning Model Serving Patterns and Best Practices
Author Md Johirul Islam
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....
Release Date 2022/12 -
Machine Learning Security Principles
Author John Paul Mueller , Rod Stephens
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 ....
Release Date 2022/12 -
Applied Machine Learning and AI for Engineers
Author Jeff Prosise
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....
Release Date 2022/11 -
Applied Machine Learning for Healthcare and Life Sciences Using AWS
Author Ujjwal Ratan
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....
Release Date 2022/11 -
Author Upendra Kumar Devisetty
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....
Release Date 2022/11 -
Author Thushan Ganegedara
Unlock the TensorFlow design secrets behind successful deep learning applications! Deep learning StackOverflow contributor Thushan Ganegedara teaches you the new features of TensorFlow 2 in this hands-on guide. In TensorFlow in Action you will learn: Fundamentals of TensorFlowImplementing deep l....
Release Date 2022/10 -
Deep Learning with R, Second Edition
Author Tomasz Kalinowski , Sigrid Keydana , J.J. Allaire , Francois Chollet
Deep learning from the ground up using R and the powerful Keras library! In Deep Learning with R, Second Edition you will learn: Deep learning from first principlesImage classification and image segmentationTime series forecastingText classification and machine translationText generation, neural....
Release Date 2022/10 -
Quantum Machine Learning and Optimisation in Finance
Author Antoine Jacquier , Oleksiy Kondratyev , Alexander Lipton , Marcos López de Prado
Learn the principles of quantum machine learning and how to apply themWhile focus is on financial use cases, all the methods and techniques are transferable to other fieldsPurchase of Print or Kindle includes a free eBook in PDFKey FeaturesDiscover how to solve optimisation problems on quantum compu....
Release Date 2022/10 -
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 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 -
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 -
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