Ashwin Taksh is a 23-year-old small-town boy who aspires to work as a scientist at the Indian Space Research Organisation (ISRO) – India's Space Program - which accepts only 0.04% of applicants. In June 2017, he is coming out of a failure in his first attempt to qualify for the highly competitive ISRO entrance exam. When he gets admitted to India's prestigious Nuclear Program instead, he accepts, even though it's not his first choice. He initiates his new job and decides to simultaneously study for the next ISRO exam-quickly learning that this is no ordinary job either. It requires him to complete a one-year stringent training program in Nuclear Science & Engineering at its Academy - learning the most complex and cutting-edge technologies of Nuclear Fission. The further he moves, the more he understands the price of achieving a dream career. When he begins to develop feelings for one of his colleagues, he discovers the politics and groupism of the Academy. He finds himself cornered by the corruption of the system. Ashwin must decide whether he is willing to risk his sanity and achievements - risking his high-end career in the Nuclear program -for the illustrious career he has always dreamed of. This path he chose led him to make choices that pushed his career to the verge of termination What actions and determination brought an academically poor boy into the Nuclear Program of the World's Largest Democracy? What concoction of passion, stubbornness, and ego then brought him to the verge of unemployment - A Rogue Scientist? The Boy Who Did Not Sign, through its inspirational yet twisted tale, gives you the experience of that journey to pursue a goal with an incomprehensible degree of passion.
Master advanced techniques and algorithms for machine learning with PyTorch using real-world examples Updated for PyTorch 2.x, including integration with Hugging Face, mobile deployment, diffusion models, and graph neural networks Purchase of the print or Kindle book includes a free eBook in PDF format Key Features Understand how to use PyTorch to build advanced neural network models Get the best from PyTorch by working with Hugging Face, fastai, PyTorch Lightning, PyTorch Geometric, Flask, and Docker Unlock faster training with multiple GPUs and optimize model deployment using efficient inference frameworks Book DescriptionPyTorch is making it easier than ever before for anyone to build deep learning applications. This PyTorch deep learning book will help you uncover expert techniques to get the most out of your data and build complex neural network models. You’ll build convolutional neural networks for image classification and recurrent neural networks and transformers for sentiment analysis. As you advance, you'll apply deep learning across different domains, such as music, text, and image generation, using generative models, including diffusion models. You'll not only build and train your own deep reinforcement learning models in PyTorch but also learn to optimize model training using multiple CPUs, GPUs, and mixed-precision training. You’ll deploy PyTorch models to production, including mobile devices. Finally, you’ll discover the PyTorch ecosystem and its rich set of libraries. These libraries will add another set of tools to your deep learning toolbelt, teaching you how to use fastai to prototype models and PyTorch Lightning to train models. You’ll discover libraries for AutoML and explainable AI (XAI), create recommendation systems, and build language and vision transformers with Hugging Face. By the end of this book, you'll be able to perform complex deep learning tasks using PyTorch to build smart artificial intelligence models.What you will learn Implement text, vision, and music generation models using PyTorch Build a deep Q-network (DQN) model in PyTorch Deploy PyTorch models on mobile devices (Android and iOS) Become well versed in rapid prototyping using PyTorch with fastai Perform neural architecture search effectively using AutoML Easily interpret machine learning models using Captum Design ResNets, LSTMs, and graph neural networks (GNNs) Create language and vision transformer models using Hugging Face Who this book is for This deep learning with PyTorch book is for data scientists, machine learning engineers, machine learning researchers, and deep learning practitioners looking to implement advanced deep learning models using PyTorch. This book is ideal for those looking to switch from TensorFlow to PyTorch. Working knowledge of deep learning with Python is required.
Master advanced techniques and algorithms for deep learning with PyTorch using real-world examples Key Features Understand how to use PyTorch 1.x to build advanced neural network models Learn to perform a wide range of tasks by implementing deep learning algorithms and techniques Gain expertise in domains such as computer vision, NLP, Deep RL, Explainable AI, and much more Book DescriptionDeep learning is driving the AI revolution, and PyTorch is making it easier than ever before for anyone to build deep learning applications. This PyTorch book will help you uncover expert techniques to get the most out of your data and build complex neural network models. The book starts with a quick overview of PyTorch and explores using convolutional neural network (CNN) architectures for image classification. You'll then work with recurrent neural network (RNN) architectures and transformers for sentiment analysis. As you advance, you'll apply deep learning across different domains, such as music, text, and image generation using generative models and explore the world of generative adversarial networks (GANs). You'll not only build and train your own deep reinforcement learning models in PyTorch but also deploy PyTorch models to production using expert tips and techniques. Finally, you'll get to grips with training large models efficiently in a distributed manner, searching neural architectures effectively with AutoML, and rapidly prototyping models using PyTorch and fast.ai. By the end of this PyTorch book, you'll be able to perform complex deep learning tasks using PyTorch to build smart artificial intelligence models.What you will learn Implement text and music generating models using PyTorch Build a deep Q-network (DQN) model in PyTorch Export universal PyTorch models using Open Neural Network Exchange (ONNX) Become well-versed with rapid prototyping using PyTorch with fast.ai Perform neural architecture search effectively using AutoML Easily interpret machine learning (ML) models written in PyTorch using Captum Design ResNets, LSTMs, Transformers, and more using PyTorch Find out how to use PyTorch for distributed training using the torch.distributed API Who this book is for This book is for data scientists, machine learning researchers, and deep learning practitioners looking to implement advanced deep learning paradigms using PyTorch 1.x. Working knowledge of deep learning with Python programming is required.
Cut through the noise and get real results with a step-by-step approach to understanding supervised learning algorithms Key FeaturesIdeal for those getting started with machine learning for the first timeA step-by-step machine learning tutorial with exercises and activities that help build key skillsStructured to let you progress at your own pace, on your own termsUse your physical print copy to redeem free access to the online interactive editionBook Description You already know you want to understand supervised learning, and a smarter way to do that is to learn by doing. The Supervised Learning Workshop focuses on building up your practical skills so that you can deploy and build solutions that leverage key supervised learning algorithms. You'll learn from real examples that lead to real results. Throughout The Supervised Learning Workshop, you'll take an engaging step-by-step approach to understand supervised learning. You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend learning how to predict future values with auto regressors. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding. Every physical print copy of The Supervised Learning Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your book. Fast-paced and direct, The Supervised Learning Workshop is the ideal companion for those with some Python background who are getting started with machine learning. You'll learn how to apply key algorithms like a data scientist, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead. What you will learnGet to grips with the fundamental of supervised learning algorithmsDiscover how to use Python libraries for supervised learningLearn how to load a dataset in pandas for testingUse different types of plots to visually represent the dataDistinguish between regression and classification problemsLearn how to perform classification using K-NN and decision treesWho this book is for Our goal at Packt is to help you be successful, in whatever it is you choose to do. The Supervised Learning Workshop is ideal for those with a Python background, who are just starting out with machine learning. Pick up a Workshop today, and let Packt help you develop skills that stick with you for life.
Unveiled is an anthology of unheard micro tales by 30 writers from different parts of India. It narrates multiple real life experiences which instill thrill, romance and excitement at the same time. The write-ups are pretty diverse in nature and covers vivid themes and genres.
Luv is an innocent child from a lower middle class Indian family. As he grows older, his feelings shuttle between love and lust. Unaware about the problems, that their son is passing through, his parents continue exerting pressure on him to excel in academics. Incognizant of the cons of love, he falls in love with a girl in his initial school days inviting problems. His mind and heart are in constant battle. The heroine does not understand his feelings and falls in love with someone else. Coherent pressure of studies continues from his parents. He introspects if he should succumb or commit suicide. Will that girl realize his love before it is too late? Will he value relationships or career more? Will his parents guide him as a friend? Will the love of Luv, find its way? The story makes you think about your past and its own craziness. It's a story not just for youths, but also for Indian parents.
If you want to learn how to configure and use Sales and Distribution in SAP ERP to optimize and streamline your business, this is the book you need. You ll be able to use SAP ERP to fulfill orders and deliver your products and services more effectively, improving performance of the system and getting a better return on investment for your Sales and Distribution implementation. Throughout this book, you ll find step-by-step instructions and real-world examples that will help you understand and optimize Sales and Distribution in SAP ERP. Sales and Distribution Processes and Concepts Discover what the various elements of sales and distribution are and how they can be used to help your business run smoothly. SAP Functionality for Sales and Distribution Learn the configuration details that will help you optimize your sales and distribution procedures. Various SAP ERP Tools Master the various SAP ERP tools, including condition techniques, routines, user exits, and their application in Sales and Distribution.Sales and Distribution Reporting and Analytics Explore the reporting and analytics tools available for sales and distribution, including Sales Information System, ABAP Query, and ABAP reports. Real-World Scenarios and Tips Use the expert advice and examples throughout to help you with your own sales and distribution activities.
Master advanced techniques and algorithms for machine learning with PyTorch using real-world examples Updated for PyTorch 2.x, including integration with Hugging Face, mobile deployment, diffusion models, and graph neural networks Purchase of the print or Kindle book includes a free eBook in PDF format Key Features Understand how to use PyTorch to build advanced neural network models Get the best from PyTorch by working with Hugging Face, fastai, PyTorch Lightning, PyTorch Geometric, Flask, and Docker Unlock faster training with multiple GPUs and optimize model deployment using efficient inference frameworks Book DescriptionPyTorch is making it easier than ever before for anyone to build deep learning applications. This PyTorch deep learning book will help you uncover expert techniques to get the most out of your data and build complex neural network models. You’ll build convolutional neural networks for image classification and recurrent neural networks and transformers for sentiment analysis. As you advance, you'll apply deep learning across different domains, such as music, text, and image generation, using generative models, including diffusion models. You'll not only build and train your own deep reinforcement learning models in PyTorch but also learn to optimize model training using multiple CPUs, GPUs, and mixed-precision training. You’ll deploy PyTorch models to production, including mobile devices. Finally, you’ll discover the PyTorch ecosystem and its rich set of libraries. These libraries will add another set of tools to your deep learning toolbelt, teaching you how to use fastai to prototype models and PyTorch Lightning to train models. You’ll discover libraries for AutoML and explainable AI (XAI), create recommendation systems, and build language and vision transformers with Hugging Face. By the end of this book, you'll be able to perform complex deep learning tasks using PyTorch to build smart artificial intelligence models.What you will learn Implement text, vision, and music generation models using PyTorch Build a deep Q-network (DQN) model in PyTorch Deploy PyTorch models on mobile devices (Android and iOS) Become well versed in rapid prototyping using PyTorch with fastai Perform neural architecture search effectively using AutoML Easily interpret machine learning models using Captum Design ResNets, LSTMs, and graph neural networks (GNNs) Create language and vision transformer models using Hugging Face Who this book is for This deep learning with PyTorch book is for data scientists, machine learning engineers, machine learning researchers, and deep learning practitioners looking to implement advanced deep learning models using PyTorch. This book is ideal for those looking to switch from TensorFlow to PyTorch. Working knowledge of deep learning with Python is required.
Cut through the noise and get real results with a step-by-step approach to understanding supervised learning algorithms Key FeaturesIdeal for those getting started with machine learning for the first timeA step-by-step machine learning tutorial with exercises and activities that help build key skillsStructured to let you progress at your own pace, on your own termsUse your physical print copy to redeem free access to the online interactive editionBook Description You already know you want to understand supervised learning, and a smarter way to do that is to learn by doing. The Supervised Learning Workshop focuses on building up your practical skills so that you can deploy and build solutions that leverage key supervised learning algorithms. You'll learn from real examples that lead to real results. Throughout The Supervised Learning Workshop, you'll take an engaging step-by-step approach to understand supervised learning. You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend learning how to predict future values with auto regressors. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding. Every physical print copy of The Supervised Learning Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your book. Fast-paced and direct, The Supervised Learning Workshop is the ideal companion for those with some Python background who are getting started with machine learning. You'll learn how to apply key algorithms like a data scientist, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead. What you will learnGet to grips with the fundamental of supervised learning algorithmsDiscover how to use Python libraries for supervised learningLearn how to load a dataset in pandas for testingUse different types of plots to visually represent the dataDistinguish between regression and classification problemsLearn how to perform classification using K-NN and decision treesWho this book is for Our goal at Packt is to help you be successful, in whatever it is you choose to do. The Supervised Learning Workshop is ideal for those with a Python background, who are just starting out with machine learning. Pick up a Workshop today, and let Packt help you develop skills that stick with you for life.
Ashwin Taksh is a 23-year-old small-town boy who aspires to work as a scientist at the Indian Space Research Organisation (ISRO) – India's Space Program - which accepts only 0.04% of applicants. In June 2017, he is coming out of a failure in his first attempt to qualify for the highly competitive ISRO entrance exam. When he gets admitted to India's prestigious Nuclear Program instead, he accepts, even though it's not his first choice. He initiates his new job and decides to simultaneously study for the next ISRO exam-quickly learning that this is no ordinary job either. It requires him to complete a one-year stringent training program in Nuclear Science & Engineering at its Academy - learning the most complex and cutting-edge technologies of Nuclear Fission. The further he moves, the more he understands the price of achieving a dream career. When he begins to develop feelings for one of his colleagues, he discovers the politics and groupism of the Academy. He finds himself cornered by the corruption of the system. Ashwin must decide whether he is willing to risk his sanity and achievements - risking his high-end career in the Nuclear program -for the illustrious career he has always dreamed of. This path he chose led him to make choices that pushed his career to the verge of termination What actions and determination brought an academically poor boy into the Nuclear Program of the World's Largest Democracy? What concoction of passion, stubbornness, and ego then brought him to the verge of unemployment - A Rogue Scientist? The Boy Who Did Not Sign, through its inspirational yet twisted tale, gives you the experience of that journey to pursue a goal with an incomprehensible degree of passion.
The Most Authentic Source Of Information On Higher Education In India The Handbook Of Universities, Deemed Universities, Colleges, Private Universities And Prominent Educational & Research Institutions Provides Much Needed Information On Degree And Diploma Awarding Universities And Institutions Of National Importance That Impart General, Technical And Professional Education In India. Although Another Directory Of Similar Nature Is Available In The Market, The Distinct Feature Of The Present Handbook, That Makes It One Of Its Kind, Is That It Also Includes Entries And Details Of The Private Universities Functioning Across The Country.In This Handbook, The Universities Have Been Listed In An Alphabetical Order. This Facilitates Easy Location Of Their Names. In Addition To The Brief History Of These Universities, The Present Handbook Provides The Names Of Their Vice-Chancellor, Professors And Readers As Well As Their Faculties And Departments. It Also Acquaints The Readers With The Various Courses Of Studies Offered By Each University.It Is Hoped That The Handbook In Its Present Form, Will Prove Immensely Helpful To The Aspiring Students In Choosing The Best Educational Institution For Their Career Enhancement. In Addition, It Will Also Prove Very Useful For The Publishers In Mailing Their Publicity Materials. Even The Suppliers Of Equipment And Services Required By These Educational Institutions Will Find It Highly Valuable.
This book expounds the hydraulics of fine sediment which is almost ubiquitously found in coastal and estuarine waters, and in rivers, lakes, and reservoirs. Although the basic subject may be categorized as applied marine physics in shallow waters, several physicochemical and biological effects on particulate transport have been addressed.In this second edition most of the chapters have been substantially updated, rewritten, and expanded. Overall, a significant change has also been made throughout by replacing sediment concentration, a unit dependent quantity at the heart of numerous descriptions, measurements, and calculations, with the nondimensional sediment volume fraction. It marks a divergence in the manner in which fine sediment transport data and calculations are conventionally presented.The book is mainly written for civil engineering seniors and graduate students, to offer a comprehensive foundation in hydraulics of fine sediment. The book is also a useful reference for researchers interested in the effects of physical chemistry and biology on fine sediment transport in water and to an extent on coastal and estuarine morphodynamics, sediment transport, port and harbor engineering, and applied shallow watwer marine physics. The book is also recommended reading for those interested in understanding particle transport in water.Related Link(s)
This textbook is a comprehensive guide to perinatology for trainees in obstetrics, trainees in paediatrics, and neonatal nurses. Divided into seven sections, the book covers foetal wellbeing, foetal disorders, maternal illness and effects on the foetus, obstetric conditions and effects on the foetus or newborn, congenital infections, and delivery room management. The final section discusses foetal death and still birth, and placental examination. Each section is further divided into various chapters covering different topics relevant to that section. Each chapter is presented in a structured manner, with objectives clearly outlined, a concluding summary, and extensive references. Topics are covered from a multidisciplinary approach, drawing on expertise from both obstetricians and neonatologists. The book includes online access to video lectures, notes and self assessment.
Heart Upon Sleeve is exposition of everyone's heart wrapped in emotional words. Each poem is unique in itself and unfolds the various aspects of life and its consequences along with COVID mayhem. In addition to that, this anthology comprises the music of love, sweetness, and the scent of life with a focused use of language that stimulates aesthetic reflection and contemplation. It contains a varied range of poetry from eroticism to spirituality and from love and romance to harsh realities. The cardinal reason for the versatility is that the poets in this anthology are from the novice teenagers to the veteran retired Professors from India and abroad. Some are amateurs, and some are professionally sound enough to place their words on the international intellectual forum.
Unveiled is an anthology of unheard micro tales by 30 writers from different parts of India. It narrates multiple real life experiences which instill thrill, romance and excitement at the same time. The write-ups are pretty diverse in nature and covers vivid themes and genres.
This book is written for the mature reader. It's purpose is not to hurt anyone's feelings. Neither is it in favor or opposition of any person, society, gender, creed, nation or religion. These are the author's own views. Hope that by reading this book, you will try to understand and appreciate the author's point of view. It is merely an attempt to portray social reality. The aim of the book is to promote peace, non-violence, tolerance, friendship, unity, prosperity, happiness and integrity
This book presents observations on the phenomena of fine sediment transport and their explanations under process-related divisions such as flocculation, erosion, and deposition.The text is a compilation of the author's lecture notes from nearly four decades of teaching and guiding graduate students in civil and coastal engineering. Illustrations of fine sediment transport processes and their complexities given in the book are taken from field and laboratory-based observations by the author and his students, as well as numerous investigators.The wide-ranging composition of particles (of inorganic and organic matter), their universal presence and their complex interactions with hydraulic forces make this branch of science a difficult one to deal with in a single treatise. It is therefore essential to study fine sediment transport as an independent subject rather than cover it in no more than a single chapter as many texts on coarse sediment transport have done.Even though the entire coverage is “introductory”, the twelve chapters collectively include more material than what can be reasonably dealt with in a one semester, three-credit course.The book includes an extensive description of the components of fine-grained — especially cohesive — sediment transport. It covers the development of the subject in scientific and engineering applications mainly from the 1950s to its present state. Solved examples and chapter-end exercises are also included.This text is aimed at senior civil engineering undergraduates and graduate students who, in the normal course of their study, seldom come across the subject of fine sediment transport in their curricula. Interested students should have a basic understanding of the mechanics of fluid flow and open channel hydraulics.
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