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1000 tulosta hakusanalla Amita Parikh

Hands-On Artificial Intelligence for IoT

Hands-On Artificial Intelligence for IoT

Amita Kapoor

Packt Publishing Limited
2019
nidottu
Build smarter systems by combining artificial intelligence and the Internet of Things—two of the most talked about topics todayKey FeaturesLeverage the power of Python libraries such as TensorFlow and Keras to work with real-time IoT dataProcess IoT data and predict outcomes in real time to build smart IoT modelsCover practical case studies on industrial IoT, smart cities, and home automationBook DescriptionThere are many applications that use data science and analytics to gain insights from terabytes of data. These apps, however, do not address the challenge of continually discovering patterns for IoT data. In Hands-On Artificial Intelligence for IoT, we cover various aspects of artificial intelligence (AI) and its implementation to make your IoT solutions smarter.This book starts by covering the process of gathering and preprocessing IoT data gathered from distributed sources. You will learn different AI techniques such as machine learning, deep learning, reinforcement learning, and natural language processing to build smart IoT systems. You will also leverage the power of AI to handle real-time data coming from wearable devices. As you progress through the book, techniques for building models that work with different kinds of data generated and consumed by IoT devices such as time series, images, and audio will be covered. Useful case studies on four major application areas of IoT solutions are a key focal point of this book. In the concluding chapters, you will leverage the power of widely used Python libraries, TensorFlow and Keras, to build different kinds of smart AI models.By the end of this book, you will be able to build smart AI-powered IoT apps with confidence.What you will learnApply different AI techniques including machine learning and deep learning using TensorFlow and KerasAccess and process data from various distributed sourcesPerform supervised and unsupervised machine learning for IoT dataImplement distributed processing of IoT data over Apache Spark using the MLLib and H2O.ai platformsForecast time-series data using deep learning methodsImplementing AI from case studies in Personal IoT, Industrial IoT, and Smart CitiesGain unique insights from data obtained from wearable devices and smart devicesWho this book is forIf you are a data science professional or a machine learning developer looking to build smart systems for IoT, Hands-On Artificial Intelligence for IoT is for you. If you want to learn how popular artificial intelligence (AI) techniques can be used in the Internet of Things domain, this book will also be of benefit. A basic understanding of machine learning concepts will be required to get the best out of this book.
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Deep Learning with TensorFlow and Keras

Deep Learning with TensorFlow and Keras

Amita Kapoor; Antonio Gulli; Sujit Pal; Francois Chollet

PACKT PUBLISHING LIMITED
2022
nidottu
Build cutting edge machine and deep learning systems for the lab, production, and mobile devices.Purchase of the print or Kindle book includes a free eBook in PDF format.Key FeaturesUnderstand the fundamentals of deep learning and machine learning through clear explanations and extensive code samplesImplement graph neural networks, transformers using Hugging Face and TensorFlow Hub, and joint and contrastive learningLearn cutting-edge machine and deep learning techniquesBook DescriptionDeep Learning with TensorFlow and Keras teaches you neural networks and deep learning techniques using TensorFlow (TF) and Keras. You'll learn how to write deep learning applications in the most powerful, popular, and scalable machine learning stack available.TensorFlow 2.x focuses on simplicity and ease of use, with updates like eager execution, intuitive higher-level APIs based on Keras, and flexible model building on any platform. This book uses the latest TF 2.0 features and libraries to present an overview of supervised and unsupervised machine learning models and provides a comprehensive analysis of deep learning and reinforcement learning models using practical examples for the cloud, mobile, and large production environments.This book also shows you how to create neural networks with TensorFlow, runs through popular algorithms (regression, convolutional neural networks (CNNs), transformers, generative adversarial networks (GANs), recurrent neural networks (RNNs), natural language processing (NLP), and graph neural networks (GNNs)), covers working example apps, and then dives into TF in production, TF mobile, and TensorFlow with AutoML.What you will learnLearn how to use the popular GNNs with TensorFlow to carry out graph mining tasksDiscover the world of transformers, from pretraining to fine-tuning to evaluating themApply self-supervised learning to natural language processing, computer vision, and audio signal processingCombine probabilistic and deep learning models using TensorFlow ProbabilityTrain your models on the cloud and put TF to work in real environmentsBuild machine learning and deep learning systems with TensorFlow 2.x and the Keras APIWho this book is forThis hands-on machine learning book is for Python developers and data scientists who want to build machine learning and deep learning systems with TensorFlow. This book gives you the theory and practice required to use Keras, TensorFlow, and AutoML to build machine learning systems.Some machine learning knowledge would be useful. We don't assume TF knowledge.
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Platform and Model Design for Responsible AI

Platform and Model Design for Responsible AI

Amita Kapoor; Sharmistha Chatterjee

PACKT PUBLISHING LIMITED
2023
nidottu
Craft ethical AI projects with privacy, fairness, and risk assessment features for scalable and distributed systems while maintaining explainability and sustainability Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn risk assessment for machine learning frameworks in a global landscape Discover patterns for next-generation AI ecosystems for successful product design Make explainable predictions for privacy and fairness-enabled ML training Book DescriptionAI algorithms are ubiquitous and used for tasks, from recruiting to deciding who will get a loan. With such widespread use of AI in the decision-making process, it’s necessary to build an explainable, responsible, transparent, and trustworthy AI-enabled system. With Platform and Model Design for Responsible AI, you’ll be able to make existing black box models transparent. You’ll be able to identify and eliminate bias in your models, deal with uncertainty arising from both data and model limitations, and provide a responsible AI solution. You’ll start by designing ethical models for traditional and deep learning ML models, as well as deploying them in a sustainable production setup. After that, you’ll learn how to set up data pipelines, validate datasets, and set up component microservices in a secure and private way in any cloud-agnostic framework. You’ll then build a fair and private ML model with proper constraints, tune the hyperparameters, and evaluate the model metrics. By the end of this book, you’ll know the best practices to comply with data privacy and ethics laws, in addition to the techniques needed for data anonymization. You’ll be able to develop models with explainability, store them in feature stores, and handle uncertainty in model predictions.What you will learn Understand the threats and risks involved in ML models Discover varying levels of risk mitigation strategies and risk tiering tools Apply traditional and deep learning optimization techniques efficiently Build auditable and interpretable ML models and feature stores Understand the concept of uncertainty and explore model explainability tools Develop models for different clouds including AWS, Azure, and GCP Explore ML orchestration tools such as Kubeflow and Vertex AI Incorporate privacy and fairness in ML models from design to deployment Who this book is forThis book is for experienced machine learning professionals looking to understand the risks and leakages of ML models and frameworks, and learn to develop and use reusable components to reduce effort and cost in setting up and maintaining the AI ecosystem.
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Chin Chin

Chin Chin

Amita Fearon

New Generation Publishing
2022
sidottu
Ever brought alcohol back from holiday, only to realise it doesn't taste the same? Or have you got a growing collection of gifted spirits that you have no idea what to do with?Have no fear, 'Chin Chin' is here.No ordinary cookbook, 'Chin Chin' will bring a splash of fun to your cooking, with an A-Z of alcoholic recipes.Forget fancy gadgets and specialist tools - these mouthwatering recipes are practical and easy - perfect if you want a little inspiration for everyday dishes or party pieces. But they also let you be creative: cooking is about personal expression after all.And - to make this even better - there's even a cheeky cocktail with each recipe, so you can reward your culinary creativity with a tasty tipple So get into the spirit and enjoy yourself.Chin Chin
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Alfresco 3 Enterprise Content Management Implementation

Alfresco 3 Enterprise Content Management Implementation

Amita Bhandari; Munwar Shariff; Pallika Majmudar

Packt Publishing Limited
2009
nidottu
Munwar Shariff is an experienced software trainer for CIGNEX Technologies Inc. He has trained many users, administrators, and developers in Alfresco and many other CMS systems. This book distils the hands-on approach of his training courses into a concise, practical book. The emphasis is on getting up and running fast and discovering the scope and power of Alfresco 3 incrementally through practical examples. This book is designed for system administrators, experienced users, and business owners who want to install and use Alfresco in their teams or businesses. Because Alfresco is free, many teams can install and experiment with its ECM features without any upfront cost, often without management approval. The book assumes a degree of technical confidence but does not require specialist system administration or developer skills to get a basic system up and running. Alfresco is particularly suitable for IT consultants who want or need to set up a flexible enterprise content management system for their clients, be that for demonstration, development, or as a mission-critical platform.
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My Aaradhya

My Aaradhya

Amita Thakur Dogra

Notion Press, Inc
2016
nidottu
"My papa..." Her words left Mamata in exasperation. Which papa should she think about? The one who left her in the lurch to die or one the one who moaned every day for her being alive'' My Aaradhya was born with ill-fated destiny. Right from her birth, she was the victim of hatred, anger and lust, one after the other. The clouds of her past hovered over her like monster, haunting her at every step. Till the time Chirag came into her life like a fresh breath of air, promising love, hope and happiness. He tried to brighten her life by wiping her sorrows away. Would he be able to heal her scars? Would he able to refresh her soul? Where will Aaradhya's destiny take her next? Aaradhya was set for yet another journey. But this time she knew the destination and she had a valid ticket to it.
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My Horse, The Hummingbird and A Very Small Tiger

My Horse, The Hummingbird and A Very Small Tiger

Amita McBride

Priors Press
2023
pokkari
This is the unforgettable journey between my beloved horse Joe and myself, a courageous hummingbird, a horse ranch for children, and a small woven tiger from Peru. Life has a most unusual and amazing way of helping our dreams to unfold when we find the courage to listen to the wisdom of our hearts. Knowing when to let go and appreciating all that we love becomes easier when we believe in ourselves and deeply connect with the magic of life. Only then is the extraordinary truly possible.
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My Horse, The Hummingbird and A Very Small Tiger

My Horse, The Hummingbird and A Very Small Tiger

Amita McBride

Book Vine Press
2020
pokkari
This is the unforgettable journey between my beloved horse Joe and myself, a courageous hummingbird, a horse ranch for children, and a small woven tiger from Peru. Life has a most unusual and amazing way of helping our dreams to unfold when we find the courage to listen to the wisdom of our heart. Knowing when to let go and appreciating all that we love becomes easier when we believe in ourselves and deeply connect with the magic of life. Only then is the extraordinary truly possible.
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Have Animal Crackers, Will Travel

Have Animal Crackers, Will Travel

Amita McBride

Book Vine Press
2021
pokkari
A wee book inspired by my wild nature and life travels. These writings are forged from the fires of my heart, from the known, the unknown and the wilderness of my soul. If you too are a path breaker, truth seeker, adventurer and fellow visionary willing to embrace the entire journey of your life, may this book reach into the language of your heart and be a true companion always walking by your side. Amita McBride
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The UNC-53-mediated Interactome

The UNC-53-mediated Interactome

Amita Pandey; Girdhar K. Pandey

Springer International Publishing AG
2014
nidottu
This book gives an overview of various interactomes involved in dorsal ventral (DV) and anterior posterior (AP) guidance, their mechanisms of action, subcellular localizations, and functional roles. It will provide readers a better understanding of the development of the nervous system, which in turn will help to find cures to various neural and other disorders.?In nematodes there are two types of guidance systems, including DV and AP guidance. The signaling process that guides the growth cones along the DV axis has remained intact in both vertebrates and invertebrates. The adaptor protein UNC-53 appears to play a part in migration along the AP axis in both worms and their human homologs. “Neuron Navigators” (NAV) are also involved in nervous system development ?
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Women's Working World - A Mirror to Their World

Women's Working World - A Mirror to Their World

Amita Sahaya

LAP Lambert Academic Publishing
2019
pokkari
Where are the women of India poised in their country's economy? Are they a part of its economic engine and prepared to reap its windfall? Pundits call India: 'the second largest emerging economy in the world, ' claiming that greater contribution from women, would boost the GDP by $700 billion Current statistics though are a cause for concern with low female labour participation rates (FLFPR) impacting other indices, though mis measurements remain a problem. This places an even greater urgency to unravel a complex issue with sensitivity and insight, the philosophy that drives this book. We examine here the low LFPR from intersecting angles, contending that women's working lives mirror their larger environment, which is impacted by socio-cultural realities. Some of these have a resonance with global issues, while some remain peculiarly local. This book suggests creative solutions and strategies that would enable women to enter the labour market, not as marginal players but proud makers of their own destiny. This book is a must-read for employers, workers, social scientists, economists, feminists and policy makers, who understand the link between economics and empowerment
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