After The Machines Episode Two Transition

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After the Machines. Episode Two: Transition

Author : Robert Stanek
Publisher : Big Blue Sky Press
ISBN 13 : 1627163913
Total Pages : 96 pages
Book Rating : 4.6/5 (271 download)

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Book Synopsis After the Machines. Episode Two: Transition by : Robert Stanek

Download or read book After the Machines. Episode Two: Transition written by Robert Stanek and published by Big Blue Sky Press. This book was released on 2014-11-28 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This one's memorable and fascinating heroine is someone you're going to love as much as Katniss Everdeen." - Sandra Brown, author "A gripping tale. Perfectly paced and brilliantly plotted." - Cathy Thompson, author "Stanek's written many good, even great, books. This one's exceptional. Read it!" - Shannon Hale, author "Builds and builds to a crescendo. Part Stephen King, part Suzanne Collins, part Max Brooks, 100% phenomenal!" - David Eastman, author "Wonderful action writing. Fast, fun, and smart." - Margaret Brown, author "I can see why Rothfuss doesn't want people to read Stanek. Stanek's a much more capable writer." - Emily Asimov, author "What an amazing book! Unique and innovative, captivating to the end." - Mary Osborne, author "Anyone who enjoyed The Hunger Games, World War Z, or The Maze Runner is going to enjoy this book." - Lisa Gardner, author Episode #2. Where were you when the machine apocalypse began? In the ruins of our world, a new order arose, an order controlled by the very machines humankind created. The end for us came not from a massive global war but from something unthinkable, incomprehensible. The machines simply replaced us and we let them, and so, in the end, humanity went out not with a bang, but with a whimper. No shots fired. No bombs dropped. No cities destroyed. We ended and the machines began—or at least that is what the few human survivors of the machine apocalypse believe. After the Machines Episode One: Awakening Episode Two: Transition Episode Three: Descent Episode Four: Precipice ### To the machines, we became nothing—except maybe outsiders, if they considered us at all. Outsiders looking in on their reality, for the machines weren’t bothered by our existence, or at least, if they were, they weren’t bothered enough to bother us. They certainly didn’t seem to require anything of us or have any need of us at all—if they had needed us, they probably would have enslaved us. But they hadn’t. Enslaved us that is. The machines hadn’t done anything to us really. Except take over the world—and it was their world now. It certainly wasn’t ours. We were outsiders, strangers really. We looked in on their world. They didn’t acknowledge us. They probably didn’t even consider us a part of their world. Just as we didn’t consider the small things that crawled beneath our feet as part of our world. Matthew told us it wasn’t the machines who killed us. Matthew being the only one here now who remembered when we drove the automobiles, flew on the airplanes, and rode on cars behind the locomotives. He said most of us just died. Us being the human race. I didn’t believe that. I believed we died of neglect. The neglect of the machines. The machines who cared not enough to kill or enslave us. Luke would have called it benign neglect. Luke being the one who taught me to read and write my letters and words. He knew all the fancy words. He taught me everything really. He remembered—I didn’t. Don’t, really. These words—his really as much as my own. But Luke was gone. Is gone really, if you don’t mind me slipping into the present. Luke said it’s wrong to slip from past to present or present to past, but I do. The present is—and Luke isn’t. The past was—and sometimes I can see it. ### After the Machines is a story unlike any other you’ve ever read. It’s the story of us, the humans who struggle to survive in a world we no longer control.

After the Machines. Episode One: Awakening

Author : Robert Stanek
Publisher : Big Blue Sky Press
ISBN 13 : 1627163905
Total Pages : 90 pages
Book Rating : 4.6/5 (271 download)

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Book Synopsis After the Machines. Episode One: Awakening by : Robert Stanek

Download or read book After the Machines. Episode One: Awakening written by Robert Stanek and published by Big Blue Sky Press. This book was released on 2014-11-14 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Anyone who enjoyed The Hunger Games, World War Z, or The Maze Runner is going to enjoy this book." - Lisa Gardner, author "A gripping tale. Perfectly paced and brilliantly plotted." - Cathy Thompson, author "Stanek's written many good, even great, books. This one's exceptional. Read it!" - Shannon Hale, author "Builds and builds to a crescendo. Part Stephen King, part Suzanne Collins, part Max Brooks, 100% phenomenal!" - David Eastman, author "Wonderful action writing. Fast, fun, and smart." - Margaret Brown, author "I can see why Rothfuss doesn't want people to read Stanek. Stanek's a much more capable writer." - Emily Asimov, author "What an amazing book! Unique and innovative, captivating to the end." - Mary Osborne, author "This one's memorable and fascinating heroine is someone you're going to love as much as Katniss Everdeen." - Sandra Brown, author Our world isn't ours any more. It's theirs. The human survivors lead a hardscrabble life, scavenging what they can from the dead city, waiting and watching. Cedes isn't like Matthew and his regulars. She dreams. She talks. She questions. She wonders why Luke disappeared, where Luke disappeared to. She wants to know what we are to the machines. This is her story. This is our story. This is the story of us, the humans who survive. In the ruins of our world, a new order arose, an order controlled by the very machines humankind created. The end for us came not from a massive global war but from something unthinkable, incomprehensible. The machines simply replaced us and we let them, and so, in the end, humanity went out not with a bang, but with a whimper. No shots fired. No bombs dropped. No cities destroyed. We ended and the machines began—or at least that is what the few human survivors of the machine apocalypse believe. After the Machines Episode One: Awakening Episode Two: Transition Episode Three: Descent Episode Four: Precipice ### To the machines, we became nothing—except maybe outsiders, if they considered us at all. Outsiders looking in on their reality, for the machines weren’t bothered by our existence, or at least, if they were, they weren’t bothered enough to bother us. They certainly didn’t seem to require anything of us or have any need of us at all—if they had needed us, they probably would have enslaved us. But they hadn’t. Enslaved us that is. The machines hadn’t done anything to us really. Except take over the world—and it was their world now. It certainly wasn’t ours. We were outsiders, strangers really. We looked in on their world. They didn’t acknowledge us. They probably didn’t even consider us a part of their world. Just as we didn’t consider the small things that crawled beneath our feet as part of our world. Matthew told us it wasn’t the machines who killed us. Matthew being the only one here now who remembered when we drove the automobiles, flew on the airplanes, and rode on cars behind the locomotives. He said most of us just died. Us being the human race. I didn’t believe that. I believed we died of neglect. The neglect of the machines. The machines who cared not enough to kill or enslave us. Luke would have called it benign neglect. Luke being the one who taught me to read and write my letters and words. He knew all the fancy words. He taught me everything really. He remembered—I didn’t. Don’t, really. These words—his really as much as my own. But Luke was gone. Is gone really, if you don’t mind me slipping into the present. Luke said it’s wrong to slip from past to present or present to past, but I do. The present is—and Luke isn’t. The past was—and sometimes I can see it. ### After the Machines is a story unlike any other you’ve ever read. It’s the story of us, the humans who struggle to survive in a world we no longer control.

Man-Machine Interactions

Author : Krzysztof A. Cyran
Publisher : Springer Science & Business Media
ISBN 13 : 3642005632
Total Pages : 690 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Man-Machine Interactions by : Krzysztof A. Cyran

Download or read book Man-Machine Interactions written by Krzysztof A. Cyran and published by Springer Science & Business Media. This book was released on 2009-10-01 with total page 690 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume reflects a number of research streams on the development of computer systems and software that makes it possible to employ them in a variety of human activities ranging from logic studies and artificial intelligence, rule-based control of technological processes, image analysis, expert systems and decision support, to assistance in creative works. In particular, the volume points to a number of new advances in man-machine communication, interaction between visualization and modeling, rough granular computing in human-centric information processing and the discovery of affinities between perceptual granules. The topical subdivisions of this volume include human-computer interactions, decision support, rough fuzzy investigations, advances in classification methodology, pattern analysis and signal processing, computer vision and image analysis, advances in algorithmics, databases and data warehousing, and embedded system applications.

After the Machines

Author : Robert Stanek
Publisher :
ISBN 13 : 9781627163965
Total Pages : 94 pages
Book Rating : 4.1/5 (639 download)

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Book Synopsis After the Machines by : Robert Stanek

Download or read book After the Machines written by Robert Stanek and published by . This book was released on 2014 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: Episode #2. Where were you when the machine apocalypse began? In the ruins of our world, a new order arose, an order controlled by the very machines humankind created. The end for us came not from a massive global war but from something unthinkable, incomprehensible. The machines simply replaced us and we let them, and so, in the end, humanity went out not with a bang, but with a whimper. No shots fired. No bombs dropped. No cities destroyed. We ended and the machines began-or at least that is what the few human survivors of the machine apocalypse believe. Select Praise for This Mortal Coil.

After the Machines. Episode Three: Descent

Author : Robert Stanek
Publisher : Big Blue Sky Press
ISBN 13 : 1627163921
Total Pages : 96 pages
Book Rating : 4.6/5 (271 download)

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Book Synopsis After the Machines. Episode Three: Descent by : Robert Stanek

Download or read book After the Machines. Episode Three: Descent written by Robert Stanek and published by Big Blue Sky Press. This book was released on 2014-12-26 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Builds and builds to a crescendo. Part Stephen King, part Suzanne Collins, part Max Brooks, 100% phenomenal!" - David Eastman, author "This one's memorable and fascinating heroine is someone you're going to love as much as Katniss Everdeen." - Sandra Brown, author "A gripping tale. Perfectly paced and brilliantly plotted." - Cathy Thompson, author "Stanek's written many good, even great, books. This one's exceptional. Read it!" - Shannon Hale, author "Wonderful action writing. Fast, fun, and smart." - Margaret Brown, author "I can see why Rothfuss doesn't want people to read Stanek. Stanek's a much more capable writer." - Emily Asimov, author "What an amazing book! Unique and innovative, captivating to the end." - Mary Osborne, author "Anyone who enjoyed The Hunger Games, World War Z, or The Maze Runner is going to enjoy this book." - Lisa Gardner, author Episode #3. The machines control our world. It’s time we took it back. In the ruins of our world, a new order arose, an order controlled by the very machines humankind created. The end for us came not from a massive global war but from something unthinkable, incomprehensible. The machines simply replaced us and we let them, and so, in the end, humanity went out not with a bang, but with a whimper. No shots fired. No bombs dropped. No cities destroyed. We ended and the machines began—or at least that is what the few human survivors of the machine apocalypse believe. After the Machines Episode One: Awakening Episode Two: Transition Episode Three: Descent Episode Four: Precipice ### To the machines, we became nothing—except maybe outsiders, if they considered us at all. Outsiders looking in on their reality, for the machines weren’t bothered by our existence, or at least, if they were, they weren’t bothered enough to bother us. They certainly didn’t seem to require anything of us or have any need of us at all—if they had needed us, they probably would have enslaved us. But they hadn’t. Enslaved us that is. The machines hadn’t done anything to us really. Except take over the world—and it was their world now. It certainly wasn’t ours. We were outsiders, strangers really. We looked in on their world. They didn’t acknowledge us. They probably didn’t even consider us a part of their world. Just as we didn’t consider the small things that crawled beneath our feet as part of our world. Matthew told us it wasn’t the machines who killed us. Matthew being the only one here now who remembered when we drove the automobiles, flew on the airplanes, and rode on cars behind the locomotives. He said most of us just died. Us being the human race. I didn’t believe that. I believed we died of neglect. The neglect of the machines. The machines who cared not enough to kill or enslave us. Luke would have called it benign neglect. Luke being the one who taught me to read and write my letters and words. He knew all the fancy words. He taught me everything really. He remembered—I didn’t. Don’t, really. These words—his really as much as my own. But Luke was gone. Is gone really, if you don’t mind me slipping into the present. Luke said it’s wrong to slip from past to present or present to past, but I do. The present is—and Luke isn’t. The past was—and sometimes I can see it. ### After the Machines is a story unlike any other you’ve ever read. It’s the story of us, the humans who struggle to survive in a world we no longer control.

Advances in Mechanism and Machine Science

Author : Tadeusz Uhl
Publisher : Springer
ISBN 13 : 3030201317
Total Pages : 4248 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Advances in Mechanism and Machine Science by : Tadeusz Uhl

Download or read book Advances in Mechanism and Machine Science written by Tadeusz Uhl and published by Springer. This book was released on 2019-06-13 with total page 4248 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers the proceedings of the 15th IFToMM World Congress, which was held in Krakow, Poland, from June 30 to July 4, 2019. Having been organized every four years since 1965, the Congress represents the world’s largest scientific event on mechanism and machine science (MMS). The contributions cover an extremely diverse range of topics, including biomechanical engineering, computational kinematics, design methodologies, dynamics of machinery, multibody dynamics, gearing and transmissions, history of MMS, linkage and mechanical controls, robotics and mechatronics, micro-mechanisms, reliability of machines and mechanisms, rotor dynamics, standardization of terminology, sustainable energy systems, transportation machinery, tribology and vibration. Selected by means of a rigorous international peer-review process, they highlight numerous exciting advances and ideas that will spur novel research directions and foster new multidisciplinary collaborations.

Mastering Machine Learning Algorithms

Author : Giuseppe Bonaccorso
Publisher : Packt Publishing Ltd
ISBN 13 : 1838821910
Total Pages : 799 pages
Book Rating : 4.8/5 (388 download)

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Book Synopsis Mastering Machine Learning Algorithms by : Giuseppe Bonaccorso

Download or read book Mastering Machine Learning Algorithms written by Giuseppe Bonaccorso and published by Packt Publishing Ltd. This book was released on 2020-01-31 with total page 799 pages. Available in PDF, EPUB and Kindle. Book excerpt: Updated and revised second edition of the bestselling guide to exploring and mastering the most important algorithms for solving complex machine learning problems Key FeaturesUpdated to include new algorithms and techniquesCode updated to Python 3.8 & TensorFlow 2.x New coverage of regression analysis, time series analysis, deep learning models, and cutting-edge applicationsBook Description Mastering Machine Learning Algorithms, Second Edition helps you harness the real power of machine learning algorithms in order to implement smarter ways of meeting today's overwhelming data needs. This newly updated and revised guide will help you master algorithms used widely in semi-supervised learning, reinforcement learning, supervised learning, and unsupervised learning domains. You will use all the modern libraries from the Python ecosystem – including NumPy and Keras – to extract features from varied complexities of data. Ranging from Bayesian models to the Markov chain Monte Carlo algorithm to Hidden Markov models, this machine learning book teaches you how to extract features from your dataset, perform complex dimensionality reduction, and train supervised and semi-supervised models by making use of Python-based libraries such as scikit-learn. You will also discover practical applications for complex techniques such as maximum likelihood estimation, Hebbian learning, and ensemble learning, and how to use TensorFlow 2.x to train effective deep neural networks. By the end of this book, you will be ready to implement and solve end-to-end machine learning problems and use case scenarios. What you will learnUnderstand the characteristics of a machine learning algorithmImplement algorithms from supervised, semi-supervised, unsupervised, and RL domainsLearn how regression works in time-series analysis and risk predictionCreate, model, and train complex probabilistic models Cluster high-dimensional data and evaluate model accuracy Discover how artificial neural networks work – train, optimize, and validate them Work with autoencoders, Hebbian networks, and GANsWho this book is for This book is for data science professionals who want to delve into complex ML algorithms to understand how various machine learning models can be built. Knowledge of Python programming is required.

Probabilistic Machine Learning

Author : Kevin P. Murphy
Publisher : MIT Press
ISBN 13 : 0262376008
Total Pages : 1352 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Probabilistic Machine Learning by : Kevin P. Murphy

Download or read book Probabilistic Machine Learning written by Kevin P. Murphy and published by MIT Press. This book was released on 2023-08-15 with total page 1352 pages. Available in PDF, EPUB and Kindle. Book excerpt: An advanced book for researchers and graduate students working in machine learning and statistics who want to learn about deep learning, Bayesian inference, generative models, and decision making under uncertainty. An advanced counterpart to Probabilistic Machine Learning: An Introduction, this high-level textbook provides researchers and graduate students detailed coverage of cutting-edge topics in machine learning, including deep generative modeling, graphical models, Bayesian inference, reinforcement learning, and causality. This volume puts deep learning into a larger statistical context and unifies approaches based on deep learning with ones based on probabilistic modeling and inference. With contributions from top scientists and domain experts from places such as Google, DeepMind, Amazon, Purdue University, NYU, and the University of Washington, this rigorous book is essential to understanding the vital issues in machine learning. Covers generation of high dimensional outputs, such as images, text, and graphs Discusses methods for discovering insights about data, based on latent variable models Considers training and testing under different distributions Explores how to use probabilistic models and inference for causal inference and decision making Features online Python code accompaniment

An Introduction to Machine Learning

Author : Gopinath Rebala
Publisher : Springer
ISBN 13 : 3030157296
Total Pages : 263 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis An Introduction to Machine Learning by : Gopinath Rebala

Download or read book An Introduction to Machine Learning written by Gopinath Rebala and published by Springer. This book was released on 2019-05-07 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: Just like electricity, Machine Learning will revolutionize our life in many ways – some of which are not even conceivable today. This book provides a thorough conceptual understanding of Machine Learning techniques and algorithms. Many of the mathematical concepts are explained in an intuitive manner. The book starts with an overview of machine learning and the underlying Mathematical and Statistical concepts before moving onto machine learning topics. It gradually builds up the depth, covering many of the present day machine learning algorithms, ending in Deep Learning and Reinforcement Learning algorithms. The book also covers some of the popular Machine Learning applications. The material in this book is agnostic to any specific programming language or hardware so that readers can try these concepts on whichever platforms they are already familiar with. Offers a comprehensive introduction to Machine Learning, while not assuming any prior knowledge of the topic; Provides a complete overview of available techniques and algorithms in conceptual terms, covering various application domains of machine learning; Not tied to any specific software language or hardware implementation.

Artificial Intelligence and Machine Learning

Author : Luis A. Leiva
Publisher : Springer Nature
ISBN 13 : 3030938425
Total Pages : 259 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Artificial Intelligence and Machine Learning by : Luis A. Leiva

Download or read book Artificial Intelligence and Machine Learning written by Luis A. Leiva and published by Springer Nature. This book was released on 2022-01-11 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a selection of the best papers of the 33rd Benelux Conference on Artificial Intelligence, BNAIC/ BENELEARN 2021, held in Esch-sur-Alzette, Luxembourg, in November 2021. The 14 papers presented in this volume were carefully reviewed and selected from 46 regular submissions. They address various aspects of artificial intelligence such as natural language processing, agent technology, game theory, problem solving, machine learning, human-agent interaction, AI and education, and data analysis.

Machine Learning Applications in Electronic Design Automation

Author : Haoxing Ren
Publisher : Springer Nature
ISBN 13 : 303113074X
Total Pages : 585 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Machine Learning Applications in Electronic Design Automation by : Haoxing Ren

Download or read book Machine Learning Applications in Electronic Design Automation written by Haoxing Ren and published by Springer Nature. This book was released on 2023-01-01 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book serves as a single-source reference to key machine learning (ML) applications and methods in digital and analog design and verification. Experts from academia and industry cover a wide range of the latest research on ML applications in electronic design automation (EDA), including analysis and optimization of digital design, analysis and optimization of analog design, as well as functional verification, FPGA and system level designs, design for manufacturing (DFM), and design space exploration. The authors also cover key ML methods such as classical ML, deep learning models such as convolutional neural networks (CNNs), graph neural networks (GNNs), generative adversarial networks (GANs) and optimization methods such as reinforcement learning (RL) and Bayesian optimization (BO). All of these topics are valuable to chip designers and EDA developers and researchers working in digital and analog designs and verification.

Machine Learning: ECML 2005

Author : João Gama
Publisher : Springer Science & Business Media
ISBN 13 : 3540292438
Total Pages : 784 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Machine Learning: ECML 2005 by : João Gama

Download or read book Machine Learning: ECML 2005 written by João Gama and published by Springer Science & Business Media. This book was released on 2005-09-22 with total page 784 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 16th European Conference on Machine Learning, ECML 2005, jointly held with PKDD 2005 in Porto, Portugal, in October 2005. The 40 revised full papers and 32 revised short papers presented together with abstracts of 6 invited talks were carefully reviewed and selected from 335 papers submitted to ECML and 30 papers submitted to both, ECML and PKDD. The papers present a wealth of new results in the area and address all current issues in machine learning.

Theory and Novel Applications of Machine Learning

Author : Er Meng Joo
Publisher : BoD – Books on Demand
ISBN 13 : 3902613556
Total Pages : 390 pages
Book Rating : 4.9/5 (26 download)

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Book Synopsis Theory and Novel Applications of Machine Learning by : Er Meng Joo

Download or read book Theory and Novel Applications of Machine Learning written by Er Meng Joo and published by BoD – Books on Demand. This book was released on 2009-01-01 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Even since computers were invented, many researchers have been trying to understand how human beings learn and many interesting paradigms and approaches towards emulating human learning abilities have been proposed. The ability of learning is one of the central features of human intelligence, which makes it an important ingredient in both traditional Artificial Intelligence (AI) and emerging Cognitive Science. Machine Learning (ML) draws upon ideas from a diverse set of disciplines, including AI, Probability and Statistics, Computational Complexity, Information Theory, Psychology and Neurobiology, Control Theory and Philosophy. ML involves broad topics including Fuzzy Logic, Neural Networks (NNs), Evolutionary Algorithms (EAs), Probability and Statistics, Decision Trees, etc. Real-world applications of ML are widespread such as Pattern Recognition, Data Mining, Gaming, Bio-science, Telecommunications, Control and Robotics applications. This books reports the latest developments and futuristic trends in ML.

Patriot Children Episode One Episode two Episode Three Episode four

Author : Richard L. Newell
Publisher : Lulu.com
ISBN 13 : 0359472842
Total Pages : 386 pages
Book Rating : 4.3/5 (594 download)

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Book Synopsis Patriot Children Episode One Episode two Episode Three Episode four by : Richard L. Newell

Download or read book Patriot Children Episode One Episode two Episode Three Episode four written by Richard L. Newell and published by Lulu.com. This book was released on 2019-06-19 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: God gave unto mankind sanctuaries - holy, sacred, and undefiled places; consecrated and set apart for the purpose of respectful and reverential spiritual union and worship. It makes no difference whether they be out of doors under the open sky - or man-made edifices constructed exclusively for this purpose. It is a sad state of affairs when a society becomes so warped, deranged, and unbalanced - that hardened criminals, blatant lawbreakers, illegal aliens, war-faring insurgents, corrupt political malefactors, radical reprobates, traitors, demon worshipers, and all other conspirators against God and humanity are welcomed ? unchecked and unrestrained - into their midst. We invite you to follow the impact such circumstances made in the lives of the PATRIOT CHILDREN ? leaving the homestead, farm, and estate which, from the time of the 1849 California gold rush, had been handed down through many generations ? in the quest of pursuing a sounder, safer future in rural America's mid-south.

Python Machine Learning

Author : Sebastian Raschka
Publisher : Packt Publishing Ltd
ISBN 13 : 1789958296
Total Pages : 771 pages
Book Rating : 4.7/5 (899 download)

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Book Synopsis Python Machine Learning by : Sebastian Raschka

Download or read book Python Machine Learning written by Sebastian Raschka and published by Packt Publishing Ltd. This book was released on 2019-12-12 with total page 771 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key Features Third edition of the bestselling, widely acclaimed Python machine learning book Clear and intuitive explanations take you deep into the theory and practice of Python machine learning Fully updated and expanded to cover TensorFlow 2, Generative Adversarial Network models, reinforcement learning, and best practices Book Description Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step tutorial, and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and working examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, Raschka and Mirjalili teach the principles behind machine learning, allowing you to build models and applications for yourself. Updated for TensorFlow 2.0, this new third edition introduces readers to its new Keras API features, as well as the latest additions to scikit-learn. It's also expanded to cover cutting-edge reinforcement learning techniques based on deep learning, as well as an introduction to GANs. Finally, this book also explores a subfield of natural language processing (NLP) called sentiment analysis, helping you learn how to use machine learning algorithms to classify documents. This book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments. What you will learn Master the frameworks, models, and techniques that enable machines to 'learn' from data Use scikit-learn for machine learning and TensorFlow for deep learning Apply machine learning to image classification, sentiment analysis, intelligent web applications, and more Build and train neural networks, GANs, and other models Discover best practices for evaluating and tuning models Predict continuous target outcomes using regression analysis Dig deeper into textual and social media data using sentiment analysis Who this book is for If you know some Python and you want to use machine learning and deep learning, pick up this book. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this book is ideal for anyone who wants to teach computers how to learn from data.

Machine Learning and Knowledge Discovery in Databases

Author : Paolo Frasconi
Publisher : Springer
ISBN 13 : 331946227X
Total Pages : 825 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Paolo Frasconi

Download or read book Machine Learning and Knowledge Discovery in Databases written by Paolo Frasconi and published by Springer. This book was released on 2016-09-03 with total page 825 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three volume set LNAI 9851, LNAI 9852, and LNAI 9853 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2016, held in Riva del Garda, Italy, in September 2016. The 123 full papers and 16 short papers presented were carefully reviewed and selected from a total of 460 submissions. The papers presented focus on practical and real-world studies of machine learning, knowledge discovery, data mining; innovative prototype implementations or mature systems that use machine learning techniques and knowledge discovery processes in a real setting; recent advances at the frontier of machine learning and data mining with other disciplines. Part I and Part II of the proceedings contain the full papers of the contributions presented in the scientific track and abstracts of the scientific plenary talks. Part III contains the full papers of the contributions presented in the industrial track, short papers describing demonstration, the nectar papers, and the abstracts of the industrial plenary talks.

Machine Learning

Author : Jugal Kalita
Publisher : CRC Press
ISBN 13 : 1000818225
Total Pages : 299 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Machine Learning by : Jugal Kalita

Download or read book Machine Learning written by Jugal Kalita and published by CRC Press. This book was released on 2022-12-19 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning: Theory and Practice provides an introduction to the most popular methods in machine learning. The book covers regression including regularization, tree-based methods including Random Forests and Boosted Trees, Artificial Neural Networks including Convolutional Neural Networks (CNNs), reinforcement learning, and unsupervised learning focused on clustering. Topics are introduced in a conceptual manner along with necessary mathematical details. The explanations are lucid, illustrated with figures and examples. For each machine learning method discussed, the book presents appropriate libraries in the R programming language along with programming examples. Features: Provides an easy-to-read presentation of commonly used machine learning algorithms in a manner suitable for advanced undergraduate or beginning graduate students, and mathematically and/or programming-oriented individuals who want to learn machine learning on their own. Covers mathematical details of the machine learning algorithms discussed to ensure firm understanding, enabling further exploration Presents worked out suitable programming examples, thus ensuring conceptual, theoretical and practical understanding of the machine learning methods. This book is aimed primarily at introducing essential topics in Machine Learning to advanced undergraduates and beginning graduate students. The number of topics has been kept deliberately small so that it can all be covered in a semester or a quarter. The topics are covered in depth, within limits of what can be taught in a short period of time. Thus, the book can provide foundations that will empower a student to read advanced books and research papers.