Python
Hassi Norlen
IBM Quantum Experience® is a leading platform for programming quantum computers and implementing quantum solutions directly on the cloud. This book will help you get up to speed with programming quantum computers and provide solutions to the most common problems and challenges.You’ll start with a high-level overview of IBM Quantum Experience® and Qiskit®, where you will perform the installation while writing some basic quantum programs. This introduction puts less emphasis on the theoretical framework and more emphasis on recent developments such as Shor’s algorithm and Grover’s algorithm. Next, you’ll delve into Qiskit®, a quantum information science toolkit, and its constituent packages such as Terra, Aer, Ignis, and Aqua. You’ll cover these packages in detail, exploring their benefits and use cases. Later, you’ll discover various quantum gates that Qiskit® offers and even deconstruct a quantum program with their help, before going on to compare Noisy Intermediate-Scale Quantum (NISQ) and Universal Fault-Tolerant quantum computing using simulators and actual hardware. Finally, you’ll explore quantum algorithms and understand how they differ from classical algorithms, along with learning how to use pre-packaged algorithms in Qiskit® Aqua.By the end of this quantum computing book, you’ll be able to build and execute your own quantum programs using IBM Quantum Experience® and Qiskit® with Python.
Antoine Jacquier, Oleksiy Kondratyev, Alexander Lipton, Marcos...
As quantum machine learning (QML) continues to evolve, many professionals struggle to apply its powerful algorithms to real-world problems using noisy intermediate-scale quantum (NISQ) hardware. This book bridges that gap by focusing on hands-on QML applications tailored to NISQ systems, moving beyond the traditional textbook approaches that explore standard algorithms like Shor's and Grover's, which lie beyond current NISQ capabilities.You’ll get to grips with major QML algorithms that have been widely studied for their transformative potential in finance and learn hybrid quantum-classical computational protocols, the most effective way to leverage quantum and classical computing systems together.The authors, Antoine Jacquier, a distinguished researcher in quantum computing and stochastic analysis, and Oleksiy Kondratyev, a Quant of the Year awardee with over 20 years in quantitative finance, offer a hardware-agnostic perspective. They present a balanced view of both analog and digital quantum computers, delving into the fundamental characteristics of the algorithms while highlighting the practical limitations of today’s quantum hardware.By the end of this quantum book, you’ll have a deeper understanding of the significance of quantum computing in finance and the skills needed to apply QML to solve complex challenges, driving innovation in your work.
Denis Rothman
RAG-Driven Generative AI provides a roadmap for building effective LLM, computer vision, and generative AI systems that balance performance and costs.This book offers a detailed exploration of RAG and how to design, manage, and control multimodal AI pipelines. By connecting outputs to traceable source documents, RAG improves output accuracy and contextual relevance, offering a dynamic approach to managing large volumes of information. This AI book shows you how to build a RAG framework, providing practical knowledge on vector stores, chunking, indexing, and ranking. You’ll discover techniques to optimize your project’s performance and better understand your data, including using adaptive RAG and human feedback to refine retrieval accuracy, balancing RAG with fine-tuning, implementing dynamic RAG to enhance real-time decision-making, and visualizing complex data with knowledge graphs.You’ll be exposed to a hands-on blend of frameworks like LlamaIndex and Deep Lake, vector databases such as Pinecone and Chroma, and models from Hugging Face and OpenAI. By the end of this book, you will have acquired the skills to implement intelligent solutions, keeping you competitive in fields from production to customer service across any project.
Ashwin Pajankar
Raspberry Pi is one of the popular single-board computers of our generation. All the major image processing and computer vision algorithms and operations can be implemented easily with OpenCV on Raspberry Pi. This updated second edition is packed with cutting-edge examples and new topics, and covers the latest versions of key technologies such as Python 3, Raspberry Pi, and OpenCV. This book will equip you with the skills required to successfully design and implement your own OpenCV, Raspberry Pi, and Python-based computer vision projects.At the start, you'll learn the basics of Python 3, and the fundamentals of single-board computers and NumPy. Next, you'll discover how to install OpenCV 4 for Python 3 on Raspberry Pi, before covering major techniques and algorithms in image processing, manipulation, and computer vision. By working through the steps in each chapter, you'll understand essential OpenCV features. Later sections will take you through creating graphical user interface (GUI) apps with GPIO and OpenCV. You'll also learn to use the new computer vision library, Mahotas, to perform various image processing operations. Finally, you'll explore the Jupyter Notebook and how to set up a Windows computer and Ubuntu for computer vision.By the end of this book, you'll be able to confidently build and deploy computer vision apps.
Raspberry Pi. Najlepsze projekty
Andrew Robinson, Mike Cook
Wykorzystaj ogromny potencjał miniaturowego komputera! Raspberry Pi to prawdziwy komputer o rozmiarach lekko przerośniętej karty kredytowej. Posiada on ogromny potencjał, całkiem sporą moc obliczeniową, a do tego kosztuje naprawdę niewiele. Platforma ta była projektowana z myślą o nauce programowania dla dzieci. Jednak, jak to często bywa, historia potoczyła się zupełnie inaczej. Obecnie Raspberry Pi znajduje zastosowanie jako serwer WWW, odtwarzacz filmów lub sterownik urządzeń. Masz dobry pomysł, żeby wykorzystać Pi w projekcie? A może jeszcze nie wiesz, co chciałbyś zrobić z Raspberry Pi? Ta książka rozwieje wszystkie Twoje wątpliwości i podsunie pomysły na atrakcyjne projekty. W trakcie lektury poznasz budowę Raspberry Pi oraz dowiesz się, jak go podłączyć i uruchomić system Linux. W kolejnych rozdziałach przygotujesz grę kółko i krzyżyk oraz stworzysz własny teleprompter. Jeżeli potrzebny Ci jest elektroniczny zegar do pomiaru czasu reakcji lub marzy Ci się twittująca zabawka, to trzymasz w ręku właściwą książkę! Jeżeli pragniesz zamieszkać w inteligentnym domu za rozsądne pieniądze — zainteresuje Cię rozdział poświęcony jego automatyzacji. Sprawdź, jakie to proste! Jest to obowiązkowa lektura dla wszystkich pasjonatów, chcących wycisnąć z Raspberry Pi siódme poty! Sięgnij po tę książkę i: poznaj budowę i podstawy korzystania z Raspberry Pi wygeneruj labirynt w Minecraft zbuduj światła dyskotekowe przygotuj własny czujnik ruchu zrealizuj swoje elektroniczne marzenia Zbiór najlepszych projektów dla Pi!
Raspberry Pi. Przewodnik użytkownika. Wydanie III
Eben Upton, Gareth Halfacree
Bogate źródło informacji na temat Raspberry Pi! Raspberry Pi to komputer wielkości karty kredytowej. Wśród jego głównych atutów można wymienić ogrom możliwości oraz niską cenę. Początkowo miał pełnić rolę platformy do nauki programowania, jednak szybko znalazł tysiące innych zastosowań! Raspberry Pi jest używany jako serwer WWW, domowe media center, sterownik urządzeń lub baza do zaawansowanych projektów elektronicznych. Jaki Ty masz pomysł na jego zastosowanie? Ta książka to kolejne wydanie instrukcji użytkownika, dzięki której poznasz tajniki pracy z platformą Raspberry Pi. Została wzbogacona i zaktualizowana o informacje o najnowszej wersji Pi, oznaczonej symbolem B+. Nowa wersja to jeszcze większa moc oraz ciekawe możliwości. Sięgnij po tę książkę i przekonaj się, czym charakteryzuje się architektura ARM oraz jak przygotować Pi do pracy. Naucz się pracować z systemem Linux, a także tworzyć programy i skrypty między innymi za pomocą języka Python. Dowiedz się, jak zbudować centrum multimedialne na podstawie platformy Raspberry Pi oraz jak podłączyć do Pi dodatkowe urządzenia. Książka ta jest obowiązkową lekturą dla wszystkich osób zafascynowanych możliwościami Raspberry Pi. Dzięki tej książce: poznasz historię platformy oraz jej możliwości dowiesz się, jak podłączyć do Pi zewnętrzne urządzenia wykorzystasz złącza GPIO zbudujesz centrum multimedialne z Pi na czele wykorzystasz w pełni możliwości tej niesamowitej platformy Kompletne źródło informacji o Raspberry Pi!
Andrea Lonza
Reinforcement Learning (RL) is a popular and promising branch of AI that involves making smarter models and agents that can automatically determine ideal behavior based on changing requirements. This book will help you master RL algorithms and understand their implementation as you build self-learning agents.Starting with an introduction to the tools, libraries, and setup needed to work in the RL environment, this book covers the building blocks of RL and delves into value-based methods, such as the application of Q-learning and SARSA algorithms. You'll learn how to use a combination of Q-learning and neural networks to solve complex problems. Furthermore, you'll study the policy gradient methods, TRPO, and PPO, to improve performance and stability, before moving on to the DDPG and TD3 deterministic algorithms. This book also covers how imitation learning techniques work and how Dagger can teach an agent to drive. You'll discover evolutionary strategies and black-box optimization techniques, and see how they can improve RL algorithms. Finally, you'll get to grips with exploration approaches, such as UCB and UCB1, and develop a meta-algorithm called ESBAS.By the end of the book, you'll have worked with key RL algorithms to overcome challenges in real-world applications, and be part of the RL research community.
Husan Mahey
With an increase in the number of organizations deploying RPA solutions, Robotic Process Automation (RPA) is quickly becoming the most desired skill set for both developers starting their career and seasoned professionals. This book will show you how to use Automation Anywhere A2019, one of the leading platforms used widely for RPA.Starting with an introduction to RPA and Automation Anywhere, the book will guide you through the registration, installation, and configuration of the Bot agent and Control Room. With the help of easy-to-follow instructions, you’ll build your first bot and discover how you can automate tasks with Excel, Word, emails, XML, and PDF files. You’ll learn from practical examples based on real-world business scenarios, and gain insights into building more robust and resilient bots, executing external scripts such as VBScripts and Python, and adding error handling routines.By the end of this RPA book, you’ll have developed the skills required to install and configure an RPA platform confidently and have a solid understanding of how to build complex and robust, yet performant, bots.