Sztuczna inteligencja
Alexandre DuBreuil
The importance of machine learning (ML) in art is growing at a rapid pace due to recent advancements in the field, and Magenta is at the forefront of this innovation. With this book, you’ll follow a hands-on approach to using ML models for music generation, learning how to integrate them into an existing music production workflow. Complete with practical examples and explanations of the theoretical background required to understand the underlying technologies, this book is the perfect starting point to begin exploring music generation.The book will help you learn how to use the models in Magenta for generating percussion sequences, monophonic and polyphonic melodies in MIDI, and instrument sounds in raw audio. Through practical examples and in-depth explanations, you’ll understand ML models such as RNNs, VAEs, and GANs. Using this knowledge, you’ll create and train your own models for advanced music generation use cases, along with preparing new datasets. Finally, you’ll get to grips with integrating Magenta with other technologies, such as digital audio workstations (DAWs), and using Magenta.js to distribute music generation apps in the browser.By the end of this book, you'll be well-versed with Magenta and have developed the skills you need to use ML models for music generation in your own style.
Giuseppe Ciaburro
Simulation modelling is an exploration method that aims to imitate physical systems in a virtual environment and retrieve useful statistical inferences from it. The ability to analyze the model as it runs sets simulation modelling apart from other methods used in conventional analyses. This book is your comprehensive and hands-on guide to understanding various computational statistical simulations using Python. The book begins by helping you get familiarized with the fundamental concepts of simulation modelling, that’ll enable you to understand the various methods and techniques needed to explore complex topics. Data scientists working with simulation models will be able to put their knowledge to work with this practical guide. As you advance, you’ll dive deep into numerical simulation algorithms, including an overview of relevant applications, with the help of real-world use cases and practical examples. You'll also find out how to use Python to develop simulation models and how to use several Python packages. Finally, you’ll get to grips with various numerical simulation algorithms and concepts, such as Markov Decision Processes, Monte Carlo methods, and bootstrapping techniques.By the end of this book, you'll have learned how to construct and deploy simulation models of your own to overcome real-world challenges.
Xun (Brian) Wu, Chuangfeng Zhang, Zhibin (Andrew)...
Hyperledger is an open-source project and creates private blockchain applications for a range of domains. This book will be your desk reference as you explore common and not-so-common challenges faced while building blockchain networks using Hyperledger services.We'll work through all Hyperledger platform modules to understand their services and features and build end-to-end blockchain applications using various frameworks and tools supported by Hyperledger. This book's independent, recipe-based approach (packed with real-world examples) will familiarize you with the blockchain development cycle. From modeling a business network to integrating with various tools, you will cover it all. We'll cover common and not-so-common challenges faced in the blockchain life cycle. Later, we'll delve into how we can interact with the Hyperledger Fabric blockchain, covering all the principles you need to master, such as chaincode, smart contracts, and much more. We'll also address the scalability and security issues currently faced in blockchain development.By the end of this book, you will be able to implement each recipe to plan, design, and create a full-fledged, private, decentralized application to meet organizational needs.
Louis Owen
Hyperparameters are an important element in building useful machine learning models. This book curates numerous hyperparameter tuning methods for Python, one of the most popular coding languages for machine learning. Alongside in-depth explanations of how each method works, you will use a decision map that can help you identify the best tuning method for your requirements.You’ll start with an introduction to hyperparameter tuning and understand why it's important. Next, you'll learn the best methods for hyperparameter tuning for a variety of use cases and specific algorithm types. This book will not only cover the usual grid or random search but also other powerful underdog methods. Individual chapters are also dedicated to the three main groups of hyperparameter tuning methods: exhaustive search, heuristic search, Bayesian optimization, and multi-fidelity optimization. Later, you will learn about top frameworks like Scikit, Hyperopt, Optuna, NNI, and DEAP to implement hyperparameter tuning. Finally, you will cover hyperparameters of popular algorithms and best practices that will help you efficiently tune your hyperparameter.By the end of this book, you will have the skills you need to take full control over your machine learning models and get the best models for the best results.
Mahender Pal
Microsoft Dynamics 365 for Customer Engagement (CE) is one of the leading customer relationship management (CRM) solutions that help companies to effectively communicate with their customers and allows them to transform their marketing strategies. Complete with detailed explanations of the essential concepts and practical examples, this book will guide you through the entire life cycle of implementing Dynamics 365 CE for your organization or clients, and will help you avoid common pitfalls while increasing efficiency at every stage of the project. Starting with the foundational concepts, the book will gradually introduce you to Microsoft Dynamics 365 features, plans, and products. You’ll learn various implementation strategies and requirement gathering techniques, and then design the application architecture by converting your requirements into technical and functional designs. As you advance, you’ll learn how to configure your CRM system to meet your organizational needs, customize Dynamics 365 CE, and extend its capabilities by writing client-side and server-side code. Finally, you’ll integrate Dynamics 365 CE with other applications and explore its business intelligence capabilities. By the end of this Microsoft Dynamics 365 book, you’ll have gained an in-depth understanding of all the key components necessary for successful Dynamics 365 CE implementation.
VINCENT BUMGARNER, James D. Miller
If you are a data analyst with basic knowledge of Big Data analysis but no knowledge of Splunk, then this book will help you get started with Splunk. The book assumes that you have access to a copy of Splunk, ideally not in production, and many examples also assume you have administrator rights.
Shyam Varan Nath, Ann Dunkin, Mahesh Chowdhary,...
Digital transformation requires the ability to identify opportunities across industries and apply the right technologies and tools to achieve results. This book is divided into two parts with the first covering what digital transformation is and why it is important. The second part focuses on how digital transformation works.After an introduction to digital transformation, you will explore the transformation journey in logical steps and understand how to build business cases and create productivity benefit statements. Next, you’ll delve into advanced topics relating to overcoming various challenges. Later, the book will take you through case studies in both private and public sector organizations. You’ll explore private sector organizations such as industrial and hi-tech manufacturing in detail and get to grips with public sector organizations by learning how transformation can be achieved on a global scale and how the resident experience can be improved. In addition to this, you will understand the role of artificial intelligence, machine learning and deep learning in digital transformation. Finally, you’ll discover how to create a playbook that can ensure success in digital transformation.By the end of this book, you’ll be well-versed with industrial digital transformation and be able to apply your skills in the real world.
Integrate Lua with C++. Seamlessly integrate Lua scripting to enhance application flexibility
Wenhuan Li
C++ is a popular choice in the developer community for building complex and large-scale performant applications and systems. Often a need arises to extend the system at runtime, without recompiling the whole C++ program. Using a scripting language like Lua can help achieve this goal efficiently.Integrate Lua to C++ is a comprehensive guide to integrating Lua to C++ and will enable you to achieve the goal of extending C++ programs at runtime. You’ll learn, in sequence, how to get and compile the Lua library, the Lua programming language, calling Lua code from C++, and calling C++ code from Lua. In each topic, you’ll practice with code examples, and learn the in-depth mechanisms for smooth working. Throughout the book, the latter examples build on the earlier ones while also acting as a standalone. You’ll learn to implement Lua executor and Lua binding generator, which you can use in your projects directly with further customizations.By the end of this book, you’ll have mastered integrating Lua into C++ and using Lua in your C++ project efficiently, gained the skills to extend your applications at runtime, and achieved dynamic and adaptable C++ development.
Sonali Sahu
With the volume of data growing exponentially in this digital era, it has become paramount for professionals to process this data in an accelerated and cost-effective manner to get value out of it. Data that organizations receive is usually in raw document format, and being able to process these documents is critical to meeting growing business needs.This book is a comprehensive guide to helping you get to grips with AI/ML fundamentals and their application in document processing use cases. You’ll begin by understanding the challenges faced in legacy document processing and discover how you can build end-to-end document processing pipelines with AWS AI services. As you advance, you'll get hands-on experience with popular Python libraries to process and extract insights from documents. This book starts with the basics, taking you through real industry use cases for document processing to deliver value-based care in the healthcare industry and accelerate loan application processing in the financial industry. Throughout the chapters, you'll find out how to apply your skillset to solve practical problems.By the end of this AWS book, you’ll have mastered the fundamentals of document processing with machine learning through practical implementation.
Introduction to Numerical Methods with 245 Solved Problems
Roman Z. Morawski, Andrzej Miękina
This textbook is the result of the authors' experience of teaching the undergraduate students of the Faculty of Electronics and Information Technology at Warsaw University of Technology in the period 1985-2025, and in particular - the students following the English-medium programmes of study offered there during last 30 years. It is composed of seven chapters devoted to basic numerical problems, such as accuracy of computation, approximation of functions, numerical differentiation and integration, solving algebraic and differential equations. Each chapter contains a short general introduction followed by a considerable number of solved numerical problems. The textbook may be useful for students attending any engineering-oriented course of numerical methods.
Inżynieria AI. Tworzenie aplikacji z wykorzystaniem modeli bazowych
Chip Huyen
Modele bazowe (foundation models) zapoczątkowały prawdziwy rozkwit aplikacji opartych na sztucznej inteligencji. AI stała się potężnym narzędziem rozwojowym, którego dziś może używać niemal każdy. Decyzja o stworzeniu własnej aplikacji AI wymaga jednak zrozumienia procesu budowy i świadomego podejmowania decyzji projektowych. Ta książka jest kompleksowym przewodnikiem po budowaniu generatywnych aplikacji AI w środowiskach produkcyjnych. Luke Metz, współtwórca ChatGPT w OpenAI Ten przystępnie napisany i praktyczny podręcznik pokazuje, czym jest inżynieria AI i w jaki sposób tworzy się aplikacje z wykorzystaniem łatwo dostępnych modeli bazowych. Dowiesz się, jak się poruszać w świecie sztucznej inteligencji, czym dokładnie są modele, zbiory danych, wskaźniki oceny i wzorce aplikacyjne. W książce przedstawiono również, krok po kroku, kompletny proces tworzenia aplikacji AI i ich efektywnego wdrażania. Poszczególne zagadnienia zostały zilustrowane dobrze udokumentowanymi studiami przypadków. Nie zabrakło również komentarzy odnoszących się do zaimplementowania systemu opinii użytkowników w celu zapewnienia przydatnych informacji zwrotnych. Najważniejsze zagadnienia: istota inżynierii AI proces tworzenia aplikacji AI różne techniki adaptacji modeli, w tym inżynieria promptów, generowanie wspomagane wyszukiwaniem (RAG), dostrajanie modeli, agenty i inżynieria zbiorów danych wąskie gardła modeli podstawowych i ich pokonywanie zasady wyboru modelu, wskaźników, danych oraz wzorców projektowych Pozycja obowiązkowa dla każdego profesjonalisty, który chce wdrożyć AI w swojej firmie! Vittorio Cretella, były dyrektor IT w P&G i Mars
Inżynieria promptów bez tajemnic. Sztuka kreatywnego generowania tekstów
Gilbert Mizrahi
Pojawienie się dużych modeli językowych, takich jak GPT-4 czy Gemini, okazało się prawdziwym przełomem w wielu branżach. Modele te potrafią generować znakomite teksty i prowadzić zaawansowane konwersacje. Z ich potencjału można czerpać poprzez odpowiednio sformułowane prompty. Aby więc w pełni skorzystać z możliwości modelu do wykonania konkretnego zadania, trzeba opanować sztukę pisania promptów. Na podstawie tej praktycznej książki nauczysz się pisać skuteczne prompty dla dużych modeli językowych. Dowiesz się, w jaki sposób mogą posłużyć do generowania opisów produktów, spersonalizowanych wiadomości e-mail, postów w mediach społecznościowych, a nawet tekstów beletrystycznych i poetyckich. Poznasz także zaawansowane techniki użycia, takie jak integracja dużych modeli językowych z innymi narzędziami i tworzenie chatbotów. Wszystkie opisane tu techniki przetestujesz, eksperymentując i optymalizując swoje rozwiązania. W efekcie zdobędziesz umiejętności, które pozwolą Ci wykonywać codzienne zadania szybciej i lepiej! Dzięki tej książce: poznasz różne typy promptów i ich zastosowania rozwiniesz umiejętności kreatywnego pisania, korzystając ze sztucznej inteligencji zdobędziesz zaawansowane umiejętności tworzenia i wdrażania chatbotów nauczysz się integrować duże modele językowe z innymi narzędziami poznasz zagadnienia etyczne i najlepsze praktyki związane ze sztuczną inteligencją Moc promptów w Twoich rękach ― twórz, inspiruj, zaskakuj!
Perry Lea
Industries are embracing IoT technologies to improve operational expenses, product life, and people's well-being. An architectural guide is needed if you want to traverse the spectrum of technologies needed to build a successful IoT system, whether that's a single device or millions of IoT devices.IoT and Edge Computing for Architects, 2E encompasses the entire spectrum of IoT solutions, from IoT sensors to the cloud. It examines modern sensor systems, focusing on their power and functionality. It also looks at communication theory, paying close attention to near-range PAN, including the new Bluetooth® 5.0 specification and mesh networks. Then, the book explores IP-based communication in LAN and WAN, including 802.11ah, 5G LTE cellular, Sigfox, and LoRaWAN. It also explains edge computing, routing and gateways, and their role in fog computing, as well as the messaging protocols of MQTT 5.0 and CoAP.With the data now in internet form, you'll get an understanding of cloud and fog architectures, including the OpenFog standards. The book wraps up the analytics portion with the application of statistical analysis, complex event processing, and deep learning models. The book then concludes by providing a holistic view of IoT security, cryptography, and shell security in addition to software-defined perimeters and blockchains.
Jak zarabiać przez Internet z AI
Włodzimierz Iwanowski
Freelancing wspomagany mocą sztucznej inteligencji? To działa! Wchodzimy w erę dynamicznych zmian związanych ze sztuczną inteligencją. Spodziewaliśmy się tego i już to widzimy ― AI rewolucjonizuje nasze życie, zmienia codzienne funkcjonowanie, ale również (a może przede wszystkim) zaczyna wpływać na sposób zarobkowania. Ten, kto szybciej nauczy się efektywnie korzystać z jej narzędzi, tego czeka sukces finansowy. Dotyczy to także osób z branży kreatywnej, pracujących na zlecenie. Ta książka wprowadzi Cię do świata najpopularniejszych platform freelancerskich, za których pośrednictwem możesz oferować swoje usługi, takich jak Fiverr, Upwork czy Useme. Autor podpowie Ci, jak dzięki narzędziom sztucznej inteligencji wykonać swoją pracę szybciej i efektywniej, niezależnie od tego, czy przygotowujesz audiobook, nagrywasz podcast, komponujesz muzykę, budujesz grę, piszesz dowolny tekst, czy... tworzysz wirtualnego influencera. W poradniku znajdziesz również praktyczne porady, jak zarządzać ryzykiem, jak reagować na negatywne opinie i jak unikać najczęstszych błędów finansowych. Książka w mediach: Books4Busines Bookstagram Bielicka Bookstagram
Java Deep Learning Essentials. Unlocking the next generation of predictive power
Yusuke Sugomori
AI and Deep Learning are transforming the way we understand software, making computers more intelligent than we could even imagine just a decade ago. Deep Learning algorithms are being used across a broad range of industries – as the fundamental driver of AI, being able to tackle Deep Learning is going to a vital and valuable skill not only within the tech world but also for the wider global economy that depends upon knowledge and insight for growth and success. It’s something that’s moving beyond the realm of data science – if you’re a Java developer, this book gives you a great opportunity to expand your skillset.Starting with an introduction to basic machine learning algorithms, to give you a solid foundation, Deep Learning with Java takes you further into this vital world of stunning predictive insights and remarkable machine intelligence. Once you’ve got to grips with the fundamental mathematical principles, you’ll start exploring neural networks and identify how to tackle challenges in large networks using advanced algorithms. You will learn how to use the DL4J library and apply Deep Learning to a range of real-world use cases. Featuring further guidance and insights to help you solve challenging problems in image processing, speech recognition, language modeling, this book will make you rethink what you can do with Java, showing you how to use it for truly cutting-edge predictive insights. As a bonus, you’ll also be able to get to grips with Theano and Caffe, two of the most important tools in Deep Learning today.By the end of the book, you’ll be ready to tackle Deep Learning with Java. Wherever you’ve come from – whether you’re a data scientist or Java developer – you will become a part of the Deep Learning revolution!
Języki i paradygmaty programowania. Teoria i praktyka
Feliks Kurp
Czym w rzeczywistości jest programowanie? I jak zacząć programować? Oprogramowanie jest dziś praktycznie wszędzie, a programiści od dawna należą do najbardziej poszukiwanych specjalistów. Na podstawie napisanego przez nich kodu funkcjonują już nie tylko komputery i smartfony. Oprogramowanie steruje sprzętami domowymi, telewizorem czy lodówką. W ramach tak zwanego internetu rzeczy wiele urządzeń technicznych komunikuje się między sobą bez udziału człowieka. Gwałtownie rozwija się sztuczna inteligencja, wymagająca specjalistycznego oprogramowania. Nie dziwi więc, że jego rozwój ciągle przyspiesza. W obliczu tych faktów odpowiedź na pytanie, jakiego języka programowania warto się nauczyć, jest trudna. Nawet dla osoby, która wie, w jaki sposób zamierza w przyszłości korzystać ze swoich informatycznych umiejętności. Autor książki proponuje nieco inne podejście do nauki programowania. Zachęca do zapoznania się z podstawowymi własnościami i możliwymi zastosowaniami kilku odległych od siebie, ale niezwykle ważnych aktualnie języków programowania, takich jak Python, Java SE, JavaScript i Prolog. W trakcie ich poznawania czytelnicy będą mieli okazję zgłębić filozofię programowania, a równocześnie zdobywać praktyczne umiejętności programistyczne na podstawowym poziomie. Starannie dobrany kod pokazuje możliwe zastosowania wybranych języków programowania. Pomoc w nauce stanowią też zadania do samodzielnego rozwiązania.