Download or read book Build Powerful Search with Embeddings A Practical Guide to ChromaDB Pinecone written by Anand Vemula and published by Anand Vemula. This book was released on with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Build Powerful Search with Embeddings: A Practical Guide to ChromaDB & Pinecone" is a comprehensive guide that delves into the intricacies of utilizing embeddings for constructing robust search systems, specifically employing ChromaDB and Pinecone technologies. Authored by experts in the field, the book offers practical insights, strategies, and hands-on techniques to harness the full potential of embeddings for enhancing search functionalities. The book begins by elucidating the fundamentals of embeddings, elucidating their significance in transforming raw data into meaningful representations that facilitate efficient search operations. It elucidates how embeddings capture semantic similarities and relationships within data, enabling more accurate and context-aware search results. Central to the book's discourse is the exploration of ChromaDB, a cutting-edge database designed to optimize search operations through embeddings. Readers are guided through the implementation process, learning how to leverage ChromaDB's indexing capabilities to store and retrieve embeddings efficiently. The book provides step-by-step instructions, code snippets, and real-world examples to facilitate comprehension and application. Furthermore, the book introduces Pinecone, a powerful vector database that seamlessly integrates with ChromaDB to deliver high-performance search functionalities at scale. Readers are introduced to Pinecone's features, including its ability to handle dynamic embeddings and support real-time updates, ensuring search systems remain responsive and adaptive to evolving data. One of the book's key strengths lies in its emphasis on practicality. It offers actionable insights and best practices for optimizing search performance, addressing common challenges such as handling large datasets, managing dimensionality, and fine-tuning search parameters. Through case studies and use cases, readers gain valuable insights into real-world applications of embedding-based search systems across various domains. Moreover, the book explores advanced topics such as semantic search, similarity learning, and hybrid search architectures, empowering readers to customize and extend their search systems according to specific requirements and use cases. In summary, "Build Powerful Search with Embeddings: A Practical Guide to ChromaDB & Pinecone" equips readers with the knowledge and tools necessary to harness the transformative potential of embeddings for building advanced search systems. Whether you're a seasoned developer or a data scientist, this book serves as an invaluable resource for mastering embedding-based search technologies and unlocking new possibilities in information retrieval.
Download or read book Proofs that Really Count written by Arthur T. Benjamin and published by American Mathematical Society. This book was released on 2022-09-21 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematics is the science of patterns, and mathematicians attempt to understand these patterns and discover new ones using a variety of tools. In Proofs That Really Count, award-winning math professors Arthur Benjamin and Jennifer Quinn demonstrate that many number patterns, even very complex ones, can be understood by simple counting arguments. The book emphasizes numbers that are often not thought of as numbers that count: Fibonacci Numbers, Lucas Numbers, Continued Fractions, and Harmonic Numbers, to name a few. Numerous hints and references are given for all chapter exercises and many chapters end with a list of identities in need of combinatorial proof. The extensive appendix of identities will be a valuable resource. This book should appeal to readers of all levels, from high school math students to professional mathematicians.
Download or read book Building Versatile Mobile Apps with Python and REST written by Art Yudin and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Develop versatile iOS apps using Python with RESTful web services. This book will show you how to blend Django, a high-level Python Web framework, with Django REST, the powerful, feature-filled extension, to build iOS mobile apps. Using easy-to-follow examples, you'll begin by building a simple app using the RESTful Web API and iOS. You'll then work with traditional Django to create models and connect your App to the database. You'll also see how to serialize your data and create the RESTful API. The second part of the book introduces Xcode, a programming environment to develop iOS apps. Using Swift, the programming language for iOS, you'll design the actual app. Once you have your back-end in Django and a front-end in Swift, you'll connect them using our RESTful API. This will allow you to log in, browse places of interest, and rate them and leave comments. Guided by step-by-step instructions, Building Versatile Mobile Apps with Python and REST will demonstrate how easy it is to use Python to develop iOS applications. You will: Build Create-Read-Update-Delete functionality using RESTful Web Services ; Incorporate marketing into the design of iOS apps to stand out in the App Store ; Deploy your app to a live server and add it to Apple app store .
Download or read book Basic Python for Data Management Finance and Marketing written by Art Yudin and published by Apress. This book was released on 2021-09-07 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to gather, manipulate, and analyze data with Python. This book is a practical guide to help you get started with Python from ground zero and to the point where you can use coding for everyday tasks. Python, the most in-demand skill by employers, can be learned in a matter of months and a working knowledge will help you to advance your career. This book will teach you to crunch numbers, analyze big-data, and switch from spreadsheets to a faster and more efficient programming language. You'll benefit from the numerous real-life examples designed to meet current world challenges and from step-by-step guidance to become a confident Python user. Python is used in all aspects of financial industry, from algo trading, reporting and risk management to building valuations models and predictive machine learning programs. Basic Python for Data Management, Finance, and Marketing highlights how this language has become a useful skill with digital marketers, allowing them to analyze data more precisely and run more successful campaigns. What You'll Learn Get started with Python from square one Extend what's possible on excel with Python Automate tasks with Python Analyze data more precisely Who This Book Is For Professionals who want to find a job in the modern world or advance their careers within field of Python programming language.
Download or read book Quantum Information And Computing written by Noboru Watanabe and published by World Scientific. This book was released on 2006-03-16 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main purpose of this volume is to emphasize the multidisciplinary aspects of this very active new line of research in which concrete technological and industrial realizations require the combined efforts of experimental and theoretical physicists, mathematicians and engineers.
Download or read book Pattern Recognition and Data Mining written by Sameer Singh and published by Springer. This book was released on 2005-09-16 with total page 713 pages. Available in PDF, EPUB and Kindle. Book excerpt: This LNCS volume contains the papers presented at the 3rd International Conference on Advances in Pattern Recognition (ICAPR 2005) organized in August, 2005 in the beautiful city of Bath, UK.
Download or read book Social Entrepreneurship and Sustainable Development written by Archana Singh and published by Taylor & Francis. This book was released on 2020-06-13 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume discusses the seminal interface between social entrepreneurship and sustainable development along with their inter-linkages. It traces the role of social entrepreneurship and innovations in societal transformation in creating sustainable societies, especially in developing nations. It explores how social entrepreneurship and enterprise is integral to the promise of fostering opportunities for socially disadvantaged groups (including the poor, women, and young people), as well as in addressing environmental and ecological issues apart from wealth creation. The book presents key concepts, case studies, and multiple innovative models involving social entrepreneurship, such as green financing, serial social entrepreneurship, sustainable livelihood creation, and well-being, in addition to highlighting global sustainable development goals of the United Nations. The chapters are organised under the broad themes of sustainability of the organisation, sustainability of the community, sustainability of the development, and sustainability of the community–organisation interface. They examine social change, social innovation, social enterprise, small and micro-enterprises, microfinance institutions, inclusive growth, education, productivity, physical health, waste management, energy retention, self-reliance, and corporate social responsibility. They contain emerging research issues in the field as well as critical assessments while bringing together theoretical and practitioners’ perspectives. This book will be useful to scholars and researchers of development studies, social entrepreneurship, sustainable development, environmental studies, public policy, and political sociology. It will also greatly interest professionals from non-profit, corporate, and public sectors, other development practitioners, and international bodies.
Download or read book 114 Exponent and Logarithm Problems from the AwesomeMath Summer Program written by Titu Andreescu and published by . This book was released on 2016-12-05 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the theoretical background of exponents and logarithms, as well as some of their important applications. Starting from the basics, the reader will gain familiarity with how the exponential and logarithmic functions work, and will then learn how to solve different problems with them. The authors give the readers the opportunity to test their understanding of the topics discussed by exposing them to 114 carefully chosen problems, whose full solutions can be found at the end of the book.
Download or read book Data Science and Big Data Analytics written by Durgesh Kumar Mishra and published by Springer. This book was released on 2018-08-01 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents conjectural advances in big data analysis, machine learning and computational intelligence, as well as their potential applications in scientific computing. It discusses major issues pertaining to big data analysis using computational intelligence techniques, and the conjectural elements are supported by simulation and modelling applications to help address real-world problems. An extensive bibliography is provided at the end of each chapter. Further, the main content is supplemented by a wealth of figures, graphs, and tables, offering a valuable guide for researchers in the field of big data analytics and computational intelligence.
Download or read book Advanced Deep Learning with Keras written by Rowel Atienza and published by Packt Publishing Ltd. This book was released on 2018-10-31 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding and coding advanced deep learning algorithms with the most intuitive deep learning library in existence Key Features Explore the most advanced deep learning techniques that drive modern AI results Implement deep neural networks, autoencoders, GANs, VAEs, and deep reinforcement learning A wide study of GANs, including Improved GANs, Cross-Domain GANs, and Disentangled Representation GANs Book DescriptionRecent developments in deep learning, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Deep Reinforcement Learning (DRL) are creating impressive AI results in our news headlines - such as AlphaGo Zero beating world chess champions, and generative AI that can create art paintings that sell for over $400k because they are so human-like. Advanced Deep Learning with Keras is a comprehensive guide to the advanced deep learning techniques available today, so you can create your own cutting-edge AI. Using Keras as an open-source deep learning library, you'll find hands-on projects throughout that show you how to create more effective AI with the latest techniques. The journey begins with an overview of MLPs, CNNs, and RNNs, which are the building blocks for the more advanced techniques in the book. You’ll learn how to implement deep learning models with Keras and TensorFlow 1.x, and move forwards to advanced techniques, as you explore deep neural network architectures, including ResNet and DenseNet, and how to create autoencoders. You then learn all about GANs, and how they can open new levels of AI performance. Next, you’ll get up to speed with how VAEs are implemented, and you’ll see how GANs and VAEs have the generative power to synthesize data that can be extremely convincing to humans - a major stride forward for modern AI. To complete this set of advanced techniques, you'll learn how to implement DRL such as Deep Q-Learning and Policy Gradient Methods, which are critical to many modern results in AI.What you will learn Cutting-edge techniques in human-like AI performance Implement advanced deep learning models using Keras The building blocks for advanced techniques - MLPs, CNNs, and RNNs Deep neural networks – ResNet and DenseNet Autoencoders and Variational Autoencoders (VAEs) Generative Adversarial Networks (GANs) and creative AI techniques Disentangled Representation GANs, and Cross-Domain GANs Deep reinforcement learning methods and implementation Produce industry-standard applications using OpenAI Gym Deep Q-Learning and Policy Gradient Methods Who this book is for Some fluency with Python is assumed. As an advanced book, you'll be familiar with some machine learning approaches, and some practical experience with DL will be helpful. Knowledge of Keras or TensorFlow 1.x is not required but would be helpful.
Download or read book Real and Functional Analysis written by Arunava Mukherjea and published by Springer. This book was released on 2013-09-13 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt:
