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Название: Probabilistic Machine Learning for Finance and Investing: A Primer to the Next Generation of AI with Python (Third Early Release)
Автор: Deepak Kanungo
Издательство: O’Reilly Media, Inc.
Год: 2022-12-21
Страниц: 143
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.2 MB

Whether based on academic theories or machine learning strategies, all financial models are at the mercy of modeling errors that can be mitigated but not eliminated. Probabilistic ML technologies are based on a simple and intuitive definition of probability and the rigorous calculus of probability theory. These systems treat uncertainties and errors of financial and investing systems as features, not bugs. And they quantify uncertainty generated from inexact inputs and outputs as probability distributions, not point estimates. This makes for realistic financial inferences and predictions that are useful for decision-making and risk management. These systems are capable of warning us when their inferences and predictions are no longer useful in the current market environment.

Название: Concise Guide to Quantum Machine Learning
Автор: Davide Pastorello
Издательство: Springer
Серия: Machine Learning: Foundations, Methodologies, and Applications
Год: 2023
Страниц: 144
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This book offers a brief but effective introduction to Quantum Machine Learning (QML). QML is not merely a translation of classical machine learning techniques into the language of quantum computing, but rather a new approach to data representation and processing. Accordingly, the content is not divided into a “classical part” that describes standard machine learning schemes and a “quantum part” that addresses their quantum counterparts. Instead, to immerse the reader in the quantum realm from the outset, the book starts from fundamental notions of quantum mechanics and quantum computing. Avoiding unnecessary details, it presents the concepts and mathematical tools that are essential for the required quantum formalism. In turn, it reviews those quantum algorithms most relevant to Machine Learning. Later chapters highlight the latest advances in this field and discuss the most promising directions for future research.

Название: The Ultimate Roblox Book: An Unofficial Guide, Updated Edition
Автор: David Jagneaux, Heath Haskins
Издательство: Adams Media
Год: 2022
Страниц: 264
Язык: английский
Формат: epub
Размер: 42.7 MB

Build and create your own Roblox world with this updated, easy-to-use guide. Roblox, the largest user-generated online gaming platform that allows users to create and share their own game worlds and gaming creations, has taken the digital world by storm! With updated screenshots and instructions, The Ultimate Roblox Book, Updated Edition provides brand-new information on game changes and the latest features so you can make the most out of your Roblox game. With everything from instructions for playing the games to tips on creating your own worlds to the basics of coding, this updated guide gives you all the tools you need to get started. Roblox actually uses a slightly customized version of Lua as its programming language. When you’re just building stuff in Roblox Studio, like tables and chairs, you don’t need to know anything about Lua, but when it comes to doing more advanced stuff like having your player sit at that table and eat some food, you do.

Название: Handbook of HydroInformatics: Volume III: Water Data Management Best Practices
Автор: Saeid Eslamian, Faezeh Eslamian
Издательство: Elsevier
Год: 2023
Страниц: 422
Язык: английский
Формат: pdf (true)
Размер: 45.8 MB

Handbook of HydroInformatics Volume III: Water Data Management Best Practices presents the latest and most updated data processing techniques that are fundamental to Water Science and Engineering disciplines. These include a wide range of the new methods that are used in hydro-modeling such as Atmospheric Teleconnection Pattern, CONUS-Scale Hydrologic Modeling, Copula Function, Decision Support System, Downscaling Methods, Dynamic System Modeling, Economic Impacts and Models, Geostatistics and Geospatial Frameworks, Hydrologic Similarity Indices, Hydropower/Renewable Energy Models, Sediment Transport Dynamics Advanced Models, Social Data Mining, and Wavelet Transforms. Particle swarm optimization (PSO) is a stochastic population-based optimization algorithm inspired by the interactions of individuals in a social world. This algorithm is widely applied in various areas of water resource problems.

Название: Handbook of HydroInformatics: Volume II: Advanced Machine Learning Techniques
Автор: Saeid Eslamian, Faezeh Eslamian
Издательство: Elsevier
Год: 2023
Страниц: 420
Язык: английский
Формат: pdf (true)
Размер: 43.7 MB

Advanced Machine Learning Techniques includes the theoretical foundations of modern Machine Learning, as well as advanced methods and frameworks used in modern Machine Learning. Handbook of HydroInformatics, Volume II: Advanced Machine Learning Techniques presents both the art of designing good learning algorithms, as well as the science of analyzing an algorithm's computational and statistical properties and performance guarantees. The global contributors cover theoretical foundational topics such as computational and statistical convergence rates, minimax estimation, and concentration of measure as well as advanced Machine Learning methods, such as nonparametric density estimation, nonparametric regression, and Bayesian estimation; additionally, advanced frameworks such as privacy, causality, and stochastic learning algorithms are also included. Lastly, the volume presents Cloud and Cluster Computing, Data Fusion Techniques, Empirical Orthogonal Functions and Teleconnection, Internet of Things, Kernel-Based Modeling, Large Eddy Simulation, Patter Recognition, Uncertainty-Based Resiliency Evaluation, and Volume-Based Inverse Mode.

Название: Handbook of HydroInformatics: Volume I: Classic Soft-Computing Techniques
Автор: Saeid Eslamian, Faezeh Eslamian
Издательство: Elsevier
Год: 2023
Страниц: 484
Язык: английский
Формат: pdf (true)
Размер: 43.1 MB

Classic Soft-Computing Techniques is the first volume of the three, in the Handbook of HydroInformatics series. Through this comprehensive, 34-chapters work, the contributors explore the difference between traditional computing, also known as hard computing, and soft computing, which is based on the importance given to issues like precision, certainty and rigor. The chapters go on to define fundamentally classic soft-computing techniques such as Artificial Neural Network, Fuzzy Logic, Genetic Algorithm, Supporting Vector Machine, Ant-Colony Based Simulation, Bat Algorithm, Decision Tree Algorithm, Firefly Algorithm, Fish Habitat Analysis, Game Theory, Hybrid Cuckoo–Harmony Search Algorithm, Honey-Bee Mating Optimization, Imperialist Competitive Algorithm, Relevance Vector Machine, etc. The Chapter 1 describes different types of regressions and how they can be used to solve real problems. To solve our challenges in different sections, we utilize the Scikit-learn Python library.

Название: Building Knowledge Graphs: A Practitioner’s Guide (Fourth Early Release)
Автор: Jesus Barrasa, Maya Natarajan, Jim Webber
Издательство: O’Reilly Media, Inc.
Год: 2022-12-28
Страниц: 104
Язык: английский
Формат: epub (true), mobi
Размер: 11.7 MB

Incredibly useful, knowledge graphs help organizations keep track of medical research, cybersecurity threat intelligence, GDPR compliance, web user engagement, and much more. They do so by saving interlinked descriptions of entities (objects, events, situations, or abstract concepts) while encoding the semantics underlying the terminology. How do you create a knowledge graph? And how do you move it from theory into practice? Using hands-on examples, this practical book shows data scientists and data practitioners how to build their own custom knowledge graphs.

Название: Image Processing and Intelligent Computing Systems
Автор: Prateek Singhal, Abhishek Verma, Prabhat Kumar Srivastava
Издательство: CRC Press
Год: 2023
Страниц: 321
Язык: английский
Формат: pdf (true)
Размер: 29.6 MB

There is presently a drastic growth in multimedia data. There are many critical applications in which images play a vital role. These applications use raw image data to extract some useful information about the world around us. The quick extraction of valuable information from raw images is one challenge that academicians and professionals face in the present day. This is where image processing comes into action. Image processing’s primary purpose is to get an enhanced image or extract some useful information from raw image data. Therefore, there is a major need for some technique or system that addresses this challenge. Intelligent Systems have emerged as a solution to address quick image information extraction. In simple words, an Intelligent System can be defined as a mathematical model that adapts itself to deal with a problem’s dynamicity. These systems learn how to act so an image can reach an objective. An Intelligent System helps accomplish various image-processing functions like enhancement, segmentation, reconstruction, object detection, and morphing. The advent of Intelligent Systems in the image-processing field has leveraged many critical applications for humankind. These critical applications include factory automation, biomedical imaging analysis, decision econometrics, as well as related challenges.

Название: The Advanced Roblox Coding Book: An Unofficial Guide, Updated Edition
Автор: Haskins Heath
Издательство: Adams Media
Год: 2022
Формат: pdf
Страниц: 193
Размер: 14 mb
Язык: Английский

Make the most out of your Roblox experience with The Advanced Roblox Coding Book—now updated with new content, including updated avatar customization, movement and animation updates, and more!

Название: Machine Learning and Artificial Intelligence, 2nd Edition
Автор: Ameet V. Joshi
Издательство: Springer
Год: 2023
Страниц: 279
Язык: английский
Формат: pdf (true), epub
Размер: 48.3 MB

The new edition of this popular professional book on Artificial Intelligence (ML) and Machine Learning (ML) has been revised for classroom or training use. The new edition provides comprehensive coverage of combined AI and ML theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both perspectives to give holistic understanding. The first part introduces the concepts of AI and ML and their origin and current state. The second and third parts delve into conceptual and theoretic aspects of static and dynamic ML techniques. The fourth part describes the practical applications where presented techniques can be applied. The fifth part introduces the user to some of the implementation strategies for solving real life ML problems. Each chapter is accompanied with a set of exercises that will help the reader / student to apply the learnings from the chapter to a real-life problem. Completion of these exercises will help the reader / student to solidify the concepts learned. We are also going to learn how to implement the concepts learnt in each of the chapter using open-source Python libraries. Python has become de facto standard for implementing the Machine Larning algorithms due to support from the community as well as from commercial platforms from companies like Amazon, Google, and Microsoft.