Descent Series
Download Descent Series full books in PDF, epub, and Kindle. Read online free Descent Series ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
The Descent Series Complete Collection
| Author | : SM Reine |
| Publisher | : Red Iris Books |
| Total Pages | : 2069 |
| Release | : |
| Genre | : Fiction |
| ISBN | : |
She was destined to be a weapon. Elise Kavanagh is good at one thing: killing demons, angels, and gods. For years, she was the death that supernatural creatures feared. More myth than woman, she walked the Earth as the embodiment of vengeance. But Elise doesn't want anything to do with destiny. She wants time off to spend with the man who has long protected her body and mind. James Faulkner is a powerful witch, and the only one she trusts to protect her identity. Together, they try to become normal people...whatever that means. Destiny hasn't forgotten her. It's not easy to retire when you were born to be a killing machine. Old enemies still hold bitter grudges against Elise. The demon overlord of her new home isn't happy to have the Godslayer hiding out in her territory. And there are still gods that need to be killed... There's only one way out of this. Elise must descend into the infernal to become the very thing she's spent most of her life fighting: a powerful demon that feeds upon human flesh. A creature that might survive slaying God. This collection contains all seven books of The Descent Series, as well as three short stories interspersed with the books. THE COMPLETE SERIES Death's HandThe Darkest GateDeadly HeartsDark UnionDamnation MarkedDeath ScreamDire BloodDefying FateDying NightParadise Damned
The Descent Series Collection, Books 1-3: Death's Hand, The Darkest Gate, and Dark Union
| Author | : SM Reine |
| Publisher | : SM Reine |
| Total Pages | : 1083 |
| Release | : 2014-03-01 |
| Genre | : Fiction |
| ISBN | : 1493547658 |
She was destined to be a weapon. Elise Kavanagh is good at one thing: killing demons, angels, and gods. For years, she was the death that supernatural creatures feared. More myth than woman, she walked the Earth as the embodiment of vengeance. But Elise doesn't want anything to do with destiny. She wants time off to spend with her only friend and former investigative partner, James Faulkner - a powerful witch, the only person she trusts - and try to be a normal person, whatever that means. Destiny hasn't forgotten her. It's not easy to retire when you were born to be a killing machine. Old enemies still hold bitter grudges against Elise. The demon overlord of her new home isn't happy to have the Godslayer hiding out in her territory. And there are still gods that need to be killed... This is a collection of the first three titles in The Descent Series, which are gritty urban fantasy books about an exorcist, a witch, and their battles against the forces of Heaven and Hell. (Approx. 200,000 words total.) Books included: Death's HandThe Darkest GateDark UnionDEATH'S HAND Elise Kavanagh doesn't want to hunt demons anymore. It's been five years since she killed her last enemy, and life has been quiet since then. She went to college. Got a job, and then lost it. Made a friend or two. Lived a normal life. Now her former partner, a powerful witch named James Faulkner, wants Elise to fight one more time. The daughter of a coven member has been possessed, and Elise is the only exorcist nearby. Becoming a hero again would mean risking discovery by old enemies. But digging into the case reveals that it might already be too late--bodies are disappearing, demons slither through the night, and the cogs of apocalypse are beginning to turn. Some enemies aren't willing to let the secrets of the past stay dead... THE DARKEST GATE When Elise Kavanagh retired from demon hunting, she swore it would be permanent. But an attack from a powerful necromancer forced her back into the business, and now she's trying to balance her normal boyfriend and normal job with everything supernatural. Mr. Black is a demon hunter gone rogue. He's enslaving angels and stealing ethereal artifacts in pursuit of forbidden immortality, and an old grudge drives him to make his final stand in Elise's territory. Destroying her life and killing her friends isn't the goal, but it's a definite perk. A demonic overlord offers to join against Mr. Black and protect Elise's loved ones. All she needs to do is ally with the demons she's sworn to kill, at the cost of her morals--and maybe her immortal soul. But once she crosses that line, there's no turning back. Nothing is sacred when Heaven and Hell collide on Earth... DARK UNION Every fifty years, the most powerful ethereal and infernal beings convene on Earth to resolve conflicts with mediation by kopides--humans born to police relations between Heaven and Hell. They're meeting in Elise Kavanagh's territory this year, and she used to be the greatest kopis in the world. But she's not invited. An old friend, Lucas McIntyre, asks her to attend the summit in his place. But when she arrives, she discovers that a human faction called The Union has taken charge of the summit, and they're not playing nice. Worse yet, someone has killed a prominent Union member... and now they're demanding blood. dark urban fantasy, demon hunter, exorcist, fallen angels, witches, witchcraft, occult supernatural, free fantasy book, bargain fantasy book, urban dark fantasy, paranormal romance, werewolves, werewolf pack, free, freebie keywords: urban fantasy, paranormal romance, urban fantasy romance, werewolf romance, shapeshifter romance, angels, demons, science fiction romance, free urban fantasy novel, free books, free paranormal, exorcist, urban fantasy series
Geological Series
| Author | : National Museum of Canada |
| Publisher | : |
| Total Pages | : 64 |
| Release | : 1916 |
| Genre | : Geology |
| ISBN | : |
Modern Time Series Forecasting with Python
| Author | : Manu Joseph |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 659 |
| Release | : 2024-10-31 |
| Genre | : Computers |
| ISBN | : 1835883192 |
Learn traditional and cutting-edge machine learning (ML) and deep learning techniques and best practices for time series forecasting, including global forecasting models, conformal prediction, and transformer architectures Key Features Apply ML and global models to improve forecasting accuracy through practical examples Enhance your time series toolkit by using deep learning models, including RNNs, transformers, and N-BEATS Learn probabilistic forecasting with conformal prediction, Monte Carlo dropout, and quantile regressions Purchase of the print or Kindle book includes a free eBook in PDF format Book Description Predicting the future, whether it's market trends, energy demand, or website traffic, has never been more crucial. This practical, hands-on guide empowers you to build and deploy powerful time series forecasting models. Whether you’re working with traditional statistical methods or cutting-edge deep learning architectures, this book provides structured learning and best practices for both. Starting with the basics, this data science book introduces fundamental time series concepts, such as ARIMA and exponential smoothing, before gradually progressing to advanced topics, such as machine learning for time series, deep neural networks, and transformers. As part of your fundamentals training, you’ll learn preprocessing, feature engineering, and model evaluation. As you progress, you’ll also explore global forecasting models, ensemble methods, and probabilistic forecasting techniques. This new edition goes deeper into transformer architectures and probabilistic forecasting, including new content on the latest time series models, conformal prediction, and hierarchical forecasting. Whether you seek advanced deep learning insights or specialized architecture implementations, this edition provides practical strategies and new content to elevate your forecasting skills. What you will learn Build machine learning models for regression-based time series forecasting Apply powerful feature engineering techniques to enhance prediction accuracy Tackle common challenges like non-stationarity and seasonality Combine multiple forecasts using ensembling and stacking for superior results Explore cutting-edge advancements in probabilistic forecasting and handle intermittent or sparse time series Evaluate and validate your forecasts using best practices and statistical metrics Who this book is for This book is ideal for data scientists, financial analysts, quantitative analysts, machine learning engineers, and researchers who need to model time-dependent data across industries, such as finance, energy, meteorology, risk analysis, and retail. Whether you are a professional looking to apply cutting-edge models to real-world problems or a student aiming to build a strong foundation in time series analysis and forecasting, this book will provide the tools and techniques you need. Familiarity with Python and basic machine learning concepts is recommended.
Rigid Cohomology over Laurent Series Fields
| Author | : Christopher Lazda |
| Publisher | : Springer |
| Total Pages | : 271 |
| Release | : 2016-04-27 |
| Genre | : Mathematics |
| ISBN | : 331930951X |
In this monograph, the authors develop a new theory of p-adic cohomology for varieties over Laurent series fields in positive characteristic, based on Berthelot's theory of rigid cohomology. Many major fundamental properties of these cohomology groups are proven, such as finite dimensionality and cohomological descent, as well as interpretations in terms of Monsky-Washnitzer cohomology and Le Stum's overconvergent site. Applications of this new theory to arithmetic questions, such as l-independence and the weight monodromy conjecture, are also discussed. The construction of these cohomology groups, analogous to the Galois representations associated to varieties over local fields in mixed characteristic, fills a major gap in the study of arithmetic cohomology theories over function fields. By extending the scope of existing methods, the results presented here also serve as a first step towards a more general theory of p-adic cohomology over non-perfect ground fields. Rigid Cohomology over Laurent Series Fields will provide a useful tool for anyone interested in the arithmetic of varieties over local fields of positive characteristic. Appendices on important background material such as rigid cohomology and adic spaces make it as self-contained as possible, and an ideal starting point for graduate students looking to explore aspects of the classical theory of rigid cohomology and with an eye towards future research in the subject.
40TH GISFI STANDARDIZATION SERIES MEETING JOINTLY WITH INTERNATIONAL CONFERENCE ON 6G AND WIRELESS NETWORK TECHNOLOGIES
| Author | : Kolhapur Institute of Technology’s College of Engineering (Autonomous) |
| Publisher | : Book Rivers |
| Total Pages | : 369 |
| Release | : 2023-07-07 |
| Genre | : Antiques & Collectibles |
| ISBN | : 9358420677 |
Series Approximation Methods in Statistics
| Author | : John E. Kolassa |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 194 |
| Release | : 2013-04-17 |
| Genre | : Mathematics |
| ISBN | : 1475742770 |
This book was originally compiled for a course I taught at the University of Rochester in the fall of 1991, and is intended to give advanced graduate students in statistics an introduction to Edgeworth and saddlepoint approximations, and related techniques. Many other authors have also written monographs on this sub ject, and so this work is narrowly focused on two areas not recently discussed in theoretical text books. These areas are, first, a rigorous consideration of Edgeworth and saddlepoint expansion limit theorems, and second, a survey of the more recent developments in the field. In presenting expansion limit theorems I have drawn heavily on notation of McCullagh (1987) and on the theorems presented by Feller (1971) on Edgeworth expansions. For saddlepoint notation and results I relied most heavily on the many papers of Daniels, and a review paper by Reid (1988). Throughout this book I have tried to maintain consistent notation and to present theorems in such a way as to make a few theoretical results useful in as many contexts aS possible. This was not only in order to present as many results with as few proofs as possible, but more importantly to show the interconnections between the various facets of asymptotic theory. Special attention is paid to regularity conditions. The reasons they are needed and the parts they play in the proofs are both highlighted.
Weakly Nonlocal Solitary Waves and Beyond-All-Orders Asymptotics
| Author | : John P. Boyd |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 609 |
| Release | : 2012-12-06 |
| Genre | : Mathematics |
| ISBN | : 1461558255 |
This is the first thorough examination of weakly nonlocal solitary waves, which are just as important in applications as their classical counterparts. The book describes a class of waves that radiate away from the core of the disturbance but are nevertheless very long-lived nonlinear disturbances.
Applying Power Series to Differential Equations
| Author | : James Sochacki |
| Publisher | : Springer Nature |
| Total Pages | : 220 |
| Release | : 2023-03-15 |
| Genre | : Mathematics |
| ISBN | : 3031245873 |
This book is aimed to undergraduate STEM majors and to researchers using ordinary differential equations. It covers a wide range of STEM-oriented differential equation problems that can be solved using computational power series methods. Many examples are illustrated with figures and each chapter ends with discovery/research questions most of which are accessible to undergraduate students, and almost all of which may be extended to graduate level research. Methodologies implemented may also be useful for researchers to solve their differential equations analytically or numerically. The textbook can be used as supplementary for undergraduate coursework, graduate research, and for independent study.
