The impossible task of knowing God's mind...

    Just the right amount of science. Common sense and rational.” -- Wayne R. The greenhouse effect is always quoted—but that is a METAPHOR. What is the fundamental physical process that drives it? And how exactly does human activity play such a powerful role with it? How did we go from worrying about global warming to climate change…to carbon dioxide (CO2) emissions? "Great book - should me mandatory reading for anyone that uses the term 'Climate Change' " - Amazon purchaser Macsugar Are there gases more powerful and influential in the greenhouse effect than CO2? Yes, by a lot! As you will learn in this book… Why aren’t we spending more time, money, and attention focusing on those? Smart people want to get to the point of a problem and solve it as quickly, inexpensively, and effortlessly as possible. They know about the Pareto Principle, and you will too after you read this book. It is also called the 80/20 rule. What happens when we apply that principle to the global climate change “consensus”? “Thank You! I always thought the numbers were small, but I never took the time to do the math.” -- Mike S. There are many books that are long, technical, and—frankly, irrelevant—on the topic of climate change. Here are the most important questions that nobody has bothered to answer in straightforward, simple and short language, until now: * What are basic facts about our planet’s atmosphere? And what do they tell us about the fundamental physics of climate change? * What are the basic physics and assumptions behind the anthropogenic global warming (AGW) hypothesis or belief? Are they valid? * What element or compound is the single greatest factor in temperature control in our atmosphere? Hint—it isn’t carbon dioxide. How does carbon dioxide compare with this other chemical? "Takes less than an hour to read... A must-read for every official policy-maker at every level... This deserves 6 stars out of 5!" -- Terry Dunleavy (Amazon reviewer) “Brilliant, what a refreshing approach.” -- Christopher K. Before we spend more time, money, and emotional energy on the presumed EFFECTS and CONSEQUENCES of global warming and climate change (things like rising temperatures, rising sea levels, etc., etc.), shouldn’t we all have a BASIC UNDERSTANDING of the FUNDAMENTAL PROCESSES AND PHYSICS of our planet’s atmosphere? If you have any questions, or doubts about that, this book is for you. “Very good. I am a geophysicist.” -- Ben B. Even better, you’ll learn (or re-learn) a very simple and indisputable fact about our atmosphere that makes the entire controversy look ridiculous. Use this information as a test (or a bet) the next time you talk with someone on the “other side” of the climate change debate. “A very useful contribution to bringing sanity and reason back to the analysis of AGW.” – Tom P. The climate change threat is consuming more of our precious time, energy, and resources. So is the debate about what to do about it. Don’t allow yourself be a part of the problem—get this book so that you can be a part of the solution! If you are convinced that AGW is the biggest threat facing our planet, this book has facts and

    I was on my toes towards the final chapters." - Mrutyunjaya J"Puts you on the edge of your seat with mind blowing action sequences" - Ruchika M"Just thought to read a chapter. Honestly I didn't leave a single word until it was finished. In fact every chapter has a new suspense waiting to be unfolded." - Dipesh B"Finished reading it at 4 a.m." - Deepak A"Wow.. what a book. Thrilling from the beginning till the end." - Amazon Customer ___________________________________When the Aadhaar database containing the biometric and financial details of 1.2 Billion Indians is hacked in a ransomware attack, everyone is stunned by the audacity of the crime.Who could have done this? Why? And how?The cyber-terrorists soon send a message. They demand One Billion dollars to unlock the encrypted database. If the demands are not met, the database will be wiped out in seventy-two hours.With the ransom deadline ticking down, the Prime Minister sends a Covert Ops team to China to trace the culprits. But when the team reaches China, they find something shocking.From the rugged mountains of Iran to the teeming crowds of Istanbul to an underwater cat-and-mouse chase below the Straits of Malacca, Operation Dragon Strike is a gripping, breakneck adventure that will leave action thriller fans gasping for breath.Please scroll up and grab your copy now or continue reading below.Armaan slammed on the brakes. The jeep screeched to a stop in front the truck. Nitin leapt out on the move. Armaan flung the jeep door open and flipped off the safety switch of his Glock 17 handgun. The cold steel felt good in his palm. His trigger finger stroked familiar metal. He had been itching for revenge since the moment the terrorists had shot him. Nitin raced to the now stationary truck cockpit. He took in one glance and turned to Armaan."The driver's dead."Armaan swore. These terrorists were goners. He ignored the throbbing in his wounded shoulder and crouched behind the chassis of the truck. The terrorists would be going after the rest of the trucks. He had to stop them. The sound of the terrorists' van increased as it came alongside the truck.Now!Armaan rose out of his hiding place as the van came into view. He kept his hand outstretched and pointed his Glock square at the terrorist driving the van and squeezed the trigger twice. He watched the van driver jerk back as he got hit in the chest, and then slumped down the seat, dead.The van rolled past the truck and came to a stop twenty metres ahead. He had stopped the terrorists from attacking the convoy. But now he faced a serious threat.Armaan watched the masked terrorists barge out of the van, their machine guns glinting under the hot sun. He had just made his day worse. With the van stopping ahead of his position, the truck no longer offered him protection. He was completely exposed. There were six of them, all getting their AK-47s ready to pump him full of lead.Armaan was a split-second away from death...Please scroll up and grab your copy now.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    Pleased, Brahma grants him the city of Vajra, and says that not even air will enter the city, unless Vajranabha wants it to. Now, powerful in his impregnable city, Vajranabha turns his sights on Indra's kingdom. Indra goes to Krishna for help. What Vajranabha does not realise is that his daughter, Prabhavati, has set her heart on marrying Pradyumna, the son of Krishna.

     An ancient war, older than humankind, is about to spill out of the shadows into broad daylight...And the fate of the entire creation of Oorja--the Primordial Light--rests upon two complete strangers from different worlds: Abhay Rajvardhan, a seemingly ordinary young man will discover his dead father’s secrets and his connection to a clandestine army dating back to the ages long before the epic battle of the Mahabharata. Abhay’s interaction with a magical artifact--a Chakra forged from an unknown but sentient metal--triggers an unforeseen event whose ripples are felt light-years away. As her kindred prepare to go after the Artifact on Prithvi, Dhwani, a 600-year-old Angiri warrior will find herself chasing an unknown mole hiding in their midst and working alongside the Enemy. To protect the divine artifact of the gods--the Ultimate Weapon--the two will embark upon a quest fraught with nameless perils, fighting the demonic forces of Andhakar that are bent upon destroying them. The lines between myth and reality will blur, a forgotten history will shape a new reality. The Three will unite as One to unleash the Destroyer of Worlds: the Brahmāstra, the weapon to end all weapons--and the world as we know it."

    They rech at the shore and finally Hanuman ji, The Monky God, jumped through the sea and landed in Lanka and handed Seeta mata the Ring of Shree Ram, with the help of Vibhishan, brother of Ravan. After that he burns the lanka, returns to Shree Ram and takes the whole Monky Army to Sea Shore. There Vibhishan meets them and the construction of bridge over Sea is planned.

    Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications.Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications. The only necessary mathematical background is familiarity with elementary concepts of probability.The book is divided into three parts. Part I defines the reinforcement learning problem in terms of Markov decision processes. Part II provides basic solution methods: dynamic programming, Monte Carlo methods, and temporal-difference learning. Part III presents a unified view of the solution methods and incorporates artificial neural networks, eligibility traces, and planning; the two final chapters present case studies and consider the future of reinforcement learning.

    Non- mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics. Dr. Kuhn is a Director of Non-Clinical Statistics at Pfizer Global R&D in Groton Connecticut. He has been applying predictive models in the pharmaceutical and diagnostic industries for over 15 years and is the author of a number of R packages. Dr. Johnson has more than a decade of statistical consulting and predictive modeling experience in pharmaceutical research and development. He is a co-founder of Arbor Analytics, a firm specializing in predictive modeling and is a former Director of Statistics at Pfizer Global R&D. His scholarly work centers on the application and development of statistical methodology and learning algorithms. Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. Addressing practical concerns extends beyond model fitting to topics such as handling class imbalance, selecting predictors, and pinpointing causes of poor model performance-all of which are problems that occur frequently in practice. The text illustrates all parts of the modeling process through many hands-on, real-life examples. And every chapter contains extensive R code f

    Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invariances. Also included are worked examples, comparisons between different methods, extensive graphics, expanded exercises and computer project topics.An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

    Pilates’ and William J. Miller’s first complete fitness writings. It details the exercises, poses, and instructions fundamental to the matwork developed by Joseph and Clara Pilates. Based on his concepts of a balanced body and mind, and drawn from the approach espoused by the early Greeks, these are the exercises that continue to sustain a worldwide revolution in fitness strategies and exercise techniques. Joseph Pilates has been nothing short of revolutionary in his impact on the world of fitness and exercise. Readers will learn and view the original 34 exercises that Pilates taught to his students, many of whom have become exercise gurus in their own right. These carefully designed exercises constitute the results of decades of scientific study and research into the variety of physical ills that upset the balance of body and mind. Practitioners of Pilates’ forms and exercises in the 21st century continue to expand upon this earlier work by presenting a variety of creative new approaches involving circular movements, standing postures, and core strengthening exercises using props such as tubes, weights, poles, bands, magic circles, mini-balls, stability balls, foam rollers, and more.Now included in this Revised Edition are 18 additional pages of explanations of what has transpired since the original 1945 work, along with several photo/text sequences of the latest 21st-century enhancements in the Pilates world. There are new descriptive pages of text that first describe the fitness principles evolved from Pilates’ original Contrology work. This is followed by detailed text describing 21st-century evolutionary developments that present the key dancers, choreographers, and leaders in the Pilates Studio and certifying organizations through the present. This section ends with a discussion of evolutionary props and apparatus developments, plus 21st-century sample exercises drawn from our larger new book, Pilates Evolution for the 21st Century. Following this section are three complete prop-based demonstration exercises that include both photographic sequences (four per exercise) and step-by-step instructions for 21st-century Pilates exercises using the magic circle, elastic resistance, and the small fitness mini-ball.

    However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation. Similarly, new models based on kernels have had a significant impact on both algorithms and applications. This new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

    Included are step-by-step instructions on how to carry out Bayesian data analyses.Download Link : readbux.com/download?i=0124058884            0124058884 Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan PDF by John Kruschke

    The settings span from Himalayan foothills of Himachal Pradesh and Uttarakhand to the desert of Rajasthan. These are the kind of stories that everyone can easily relate to--childhood memories, ghost stories, close encounters with a man-eater, and emotion-filled accounts of friendships.

    Throwing caution to the wind, Shanice decides to live her best life while on a girl’s trip to Mexico. Gia, Shanice’s best friend only concern is her daughter. Trying to care for her daughter while breaking ties from her controlling ex is harder than Gia ever imagined. This is one fight however that Gia refuses to lose. Hurt by love, Truth Baylor is all about his money. Along with his right hand, Gabe, Truth is the plug to the streets. Neither of them are worried about women until they stumble upon Shanice and Gia. What started out as a vacation fling quickly escalates when Shanice and Truth happen to run into each other back at home. Will they continue what was started in Mexico or will the trust issues they both have interfere with something magical? When drama and feelings start to get crazy, Shanice will be able to tell everyone what it’s like to be Falling for Real One, even if it’s not a good thing.