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Hands-On Large Language Models

Language Understanding and Generation

de Jay Alammar, Maarten Grootendorst ...

AI has acquired startling new language capabilities in just the past few years. Driven by the rapid advances in deep learning, language AI systems are able to write and understand text better than ever before. This trend enables the rise of new features, products, and entire industries. With this book, Python developers will learn the practical tools and concepts they need to use these ... Citiți mai mult

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AI has acquired startling new language capabilities in just the past few years. Driven by the rapid advances in deep learning, language AI systems are able to write and understand text better than ever before. This trend enables the rise of new features, products, and entire industries. With this book, Python developers will learn the practical tools and concepts they need to use these
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TinyML

Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers

de Pete Warden, Daniel Situnayake ...

Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices.Pete Warden and Daniel Situnayake explain how you can ... Citiți mai mult

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de Martin Kleppmann, Chris Riccomini ...

Data is at the center of many challenges in system design today. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. In addition, there's an overwhelming variety of systems, including relational databases, NoSQL datastores, data warehouses, and data lakes. There are cloud services, on-premises services, and embedded databases. What ... Citiți mai mult

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Data Science for Business With R

de Jeffrey S. Saltz, Jeffrey Morgan Stanton ...

Data Science for Business with R, written by Jeffrey S. Saltz and Jeffrey M. Stanton,focuses on the concepts foundational for students starting a business analytics or data science degree program. To keep the book practical and applied, the authors feature a running case using a global airline business’s customer survey dataset to illustrate how to turn data in business decisions, in addition to ... Citiți mai mult

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Vector Databases

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The AI revolution is here, and at its core lies a game-changing technology that most developers haven’t fully explored: vector databases. From powering semantic search to enabling large language models (LLMs) and generative AI, vector databases are reshaping how we build applications with unstructured data like text, images, and audio. But how do you go from curious to capable with this vital ... Citiți mai mult

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Python Data Cleaning and Preparation Best Practices

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Take your data preparation skills to the next level by converting any type of data asset into a structured, formatted, and readily usable dataset Key FeaturesMaximize the value of your data through effective data cleaning methodsEnhance your data skills using strategies for handling structured and unstructured dataElevate the quality of your data products by testing and validating your data ... Citiți mai mult

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Are you wasting around 70% of your data science time on pointless preprocessing? Are your complex machine learning models consistently outperformed by simpler ones? You're not alone—the standard practice is broken.In today's data-driven world, the standard machine learning process is a recipe for inefficiency and bias. Teams spend the majority of their project time "cleaning" and manipulating data
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Blockchain Quick Start Guide

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de Xun (Brian) Wu, Weimin Sun ...

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de Jeffrey Pomerantz ...

Seria seria The MIT Press Essential Knowledge series
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Harness the power of randomness (and Python code) to solve real-world problems in fun, hands-on experiments—from simulating evolution to encrypting messages to making machine-learning algorithms!The Art of Randomness is a hands-on guide to mastering the many ways you can use randomized algorithms to solve real programming and scientific problems. You’ll learn how to use randomness to run ... Citiți mai mult

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Modeling and Simulation in Python

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Modeling and Simulation in Python teaches readers how to analyze real-world scenarios using the Python programming language, requiring no more than a background in high school math.Modeling and Simulation in Python is a thorough but easy-to-follow introduction to physical modeling—that is, the art of describing and simulating real-world systems. Readers are guided through modeling things like ... Citiți mai mult

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Bringing classic computing approaches to the Web

de Michael McMillan ...

As an experienced JavaScript developer moving to server-side programming, you need to implement classic data structures and algorithms associated with conventional object-oriented languages like C# and Java. This practical guide shows you how to work hands-on with a variety of storage mechanisms—including linked lists, stacks, queues, and graphs—within the constraints of the JavaScript environment ... Citiți mai mult

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As an experienced JavaScript developer moving to server-side programming, you need to implement classic data structures and algorithms associated with conventional object-oriented languages like C# and Java. This practical guide shows you how to work hands-on with a variety of storage mechanisms—including linked lists, stacks, queues, and graphs—within the constraints of the JavaScript environment
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