BOOKS - Databricks Data Intelligence Platform Unlocking the GenAI Revolution
Databricks Data Intelligence Platform Unlocking the GenAI Revolution - Nikhil Gupta, Jason Yip 2024 PDF Apress BOOKS
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Databricks Data Intelligence Platform Unlocking the GenAI Revolution
Author: Nikhil Gupta, Jason Yip
Year: 2024
Pages: 481
Format: PDF
File size: 21.5 MB
Language: ENG



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The world is rapidly changing due to the development of artificial intelligence (AI) and machine learning (ML). These technologies have the potential to transform every aspect of our lives, from healthcare and education to transportation and entertainment. However, there is also the risk that AI and ML could exacerbate existing social and economic inequalities, leading to a widening gap between the haves and have-nots. To ensure that these technologies are used for the benefit of all, we need to develop a new paradigm for understanding their impact on society. This book provides an overview of the current state of AI and ML, exploring their potential benefits and risks, as well as the challenges and opportunities they present. It also offers practical advice on how to navigate this complex landscape and make informed decisions about the use of these technologies. The book begins by examining the history of AI and ML, tracing their evolution from early experiments in computer vision and natural language processing to the sophisticated algorithms that power modern applications. It then delves into the key concepts and techniques that underpin these technologies, including deep learning, neural networks, and transfer learning.
Мир стремительно меняется благодаря развитию искусственного интеллекта (ИИ) и машинного обучения (ML). Эти технологии могут трансформировать каждый аспект нашей жизни, от здравоохранения и образования до транспорта и развлечений. Тем не менее, существует также риск того, что ИИ и МЛ могут усугубить существующее социальное и экономическое неравенство, что приведет к увеличению разрыва между имущими и неимущими. Чтобы эти технологии использовались на благо всех, нам необходимо разработать новую парадигму понимания их влияния на общество. В этой книге представлен обзор текущего состояния ИИ и МЛ, изучаются их потенциальные преимущества и риски, а также проблемы и возможности, которые они представляют. Он также предлагает практические советы о том, как ориентироваться в этом сложном ландшафте и принимать обоснованные решения об использовании этих технологий. Книга начинается с изучения истории ИИ и ML, прослеживая их эволюцию от ранних экспериментов в области компьютерного зрения и обработки естественного языка до сложных алгоритмов, которые обеспечивают работу современных приложений. Затем он углубляется в ключевые концепции и методы, которые лежат в основе этих технологий, включая глубокое обучение, нейронные сети и передачу обучения.
monde change rapidement grâce au développement de l'intelligence artificielle (IA) et de l'apprentissage automatique (ML). Ces technologies peuvent transformer tous les aspects de notre vie, de la santé et de l'éducation aux transports et au divertissement. Cependant, il y a aussi le risque que l'IA et la LM exacerbent les inégalités sociales et économiques existantes, ce qui accroît l'écart entre les nantis et les pauvres. Pour que ces technologies soient utilisées pour le bien de tous, nous devons élaborer un nouveau paradigme pour comprendre leur impact sur la société. Ce livre donne un aperçu de l'état actuel de l'IA et de la LM, examine leurs avantages et risques potentiels, ainsi que les défis et les possibilités qu'ils présentent. Il offre également des conseils pratiques sur la façon de naviguer dans ce paysage complexe et de prendre des décisions éclairées sur l'utilisation de ces technologies. livre commence par l'étude de l'histoire de l'IA et de la ML, en retraçant leur évolution des premières expériences dans le domaine de la vision par ordinateur et du traitement du langage naturel aux algorithmes complexes qui assurent le fonctionnement des applications modernes. Il explore ensuite les concepts et méthodes clés qui sous-tendent ces technologies, y compris l'apprentissage profond, les réseaux neuronaux et le transfert d'apprentissage.
mundo está cambiando rápidamente gracias al desarrollo de la inteligencia artificial (IA) y el aprendizaje automático (ML). Estas tecnologías pueden transformar todos los aspectos de nuestras vidas, desde la salud y la educación hasta el transporte y el entretenimiento. n embargo, también existe el riesgo de que la IA y el LI puedan exacerbar las desigualdades sociales y económicas existentes, lo que acentúa la brecha entre los pobres y los ricos. Para que estas tecnologías se utilicen en beneficio de todos, necesitamos desarrollar un nuevo paradigma para entender su impacto en la sociedad. Este libro ofrece una visión general del estado actual de la IA y el ML, explorando sus posibles beneficios y riesgos, así como los desafíos y oportunidades que representan. También ofrece consejos prácticos sobre cómo navegar por este complejo paisaje y tomar decisiones informadas sobre el uso de estas tecnologías. libro comienza con el estudio de la historia de la IA y el ML, trazando su evolución desde los primeros experimentos en el campo de la visión por ordenador y el procesamiento del lenguaje natural hasta los complejos algoritmos que aseguran el funcionamiento de las aplicaciones modernas. Luego se profundiza en los conceptos y técnicas clave que sustentan estas tecnologías, incluyendo el aprendizaje profundo, las redes neuronales y la transferencia de aprendizaje.
Il mondo sta cambiando rapidamente grazie allo sviluppo dell'intelligenza artificiale (IA) e dell'apprendimento automatico (ML). Queste tecnologie possono trasformare ogni aspetto della nostra vita, dalla sanità all'istruzione ai trasporti e all'intrattenimento. Tuttavia, c'è anche il rischio che l'IA e l'ML possano aggravare le disuguaglianze sociali ed economiche esistenti, aumentando il divario tra i poveri e i possessori. Affinché queste tecnologie siano utilizzate a beneficio di tutti, dobbiamo sviluppare un nuovo paradigma per comprendere il loro impatto sulla società. Questo libro fornisce una panoramica dello stato attuale dell'IA e dell'ML, esamina i loro potenziali vantaggi e rischi, nonché i problemi e le opportunità che rappresentano. Offre anche consigli pratici su come orientarsi in questo complesso panorama e prendere decisioni ragionevoli sull'uso di queste tecnologie. Il libro inizia studiando la storia dell'IA e dell'ML, tracciando la loro evoluzione dai primi esperimenti di visione informatica e di elaborazione del linguaggio naturale fino ai complessi algoritmi che forniscono applicazioni avanzate. Poi approfondisce i concetti e le tecniche chiave che sono alla base di queste tecnologie, tra cui l'apprendimento profondo, le reti neurali e la trasmissione dell'apprendimento.
Die Welt verändert sich rasant durch die Entwicklung von künstlicher Intelligenz (KI) und maschinellem rnen (ML). Diese Technologien haben das Potenzial, jeden Aspekt unseres bens zu verändern, von Gesundheit und Bildung bis hin zu Transport und Unterhaltung. Es besteht jedoch auch die Gefahr, dass KI und ML die bestehenden sozialen und wirtschaftlichen Ungleichheiten verschärfen und die Kluft zwischen den Besitzenden und den Besitzlosen vergrößern. Damit diese Technologien zum Wohle aller eingesetzt werden können, müssen wir ein neues Paradigma für das Verständnis ihrer Auswirkungen auf die Gesellschaft entwickeln. Dieses Buch gibt einen Überblick über den aktuellen Stand von KI und ML, untersucht ihre potenziellen Vorteile und Risiken sowie die Herausforderungen und Chancen, die sie darstellen. Es bietet auch praktische Tipps, wie e durch diese komplexe Landschaft navigieren und fundierte Entscheidungen über den Einsatz dieser Technologien treffen können. Das Buch beginnt mit der Erforschung der Geschichte von KI und ML und verfolgt deren Entwicklung von frühen Experimenten im Bereich der Computer Vision und der Verarbeitung natürlicher Sprache bis hin zu komplexen Algorithmen, die den Betrieb moderner Anwendungen ermöglichen. Es geht dann tiefer in die Schlüsselkonzepte und -methoden, die diesen Technologien zugrunde liegen, einschließlich Deep arning, neuronaler Netzwerke und rntransfer.
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Yapay zeka (AI) ve makine öğrenimi (ML) sayesinde dünya hızla değişiyor. Bu teknolojiler, sağlık ve eğitimden ulaşım ve eğlenceye kadar hayatımızın her yönünü dönüştürme potansiyeline sahiptir. Bununla birlikte, AI ve ML'nin mevcut sosyal ve ekonomik eşitsizlikleri daha da kötüleştirmesi ve sahipler ile sahip olmayanlar arasında genişleyen bir boşluğa yol açması riski de vardır. Bu teknolojilerin herkesin yararına kullanılması için, toplum üzerindeki etkilerini anlamak için yeni bir paradigma geliştirmemiz gerekiyor. Bu kitap, AI ve ML'nin mevcut durumuna genel bir bakış sunmakta, potansiyel yararlarını ve risklerini ve sundukları zorlukları ve fırsatları araştırmaktadır. Ayrıca, bu karmaşık manzarada nasıl gezineceğiniz ve bu teknolojileri kullanma konusunda bilinçli kararlar vereceğiniz konusunda pratik tavsiyeler sunar. Kitap, AI ve ML'nin tarihini inceleyerek, bilgisayar görüşü ve doğal dil işlemedeki erken deneylerden modern uygulamaların çalışmasını sağlayan karmaşık algoritmalara kadar evrimlerini izleyerek başlıyor. Daha sonra, derin öğrenme, sinir ağları ve öğrenme aktarımı da dahil olmak üzere bu teknolojileri destekleyen temel kavram ve teknikleri inceler.
يتغير العالم بسرعة بفضل تطوير الذكاء الاصطناعي (AI) والتعلم الآلي (ML). تتمتع هذه التقنيات بالقدرة على تحويل كل جانب من جوانب حياتنا، من الرعاية الصحية والتعليم إلى النقل والترفيه. ومع ذلك، هناك أيضًا خطر من أن يؤدي الذكاء الاصطناعي و ML إلى تفاقم أوجه عدم المساواة الاجتماعية والاقتصادية الحالية، مما يؤدي إلى اتساع الفجوة بين من يملكون ومن لا يملكون. لكي تستخدم هذه التقنيات لصالح الجميع، نحتاج إلى تطوير نموذج جديد لفهم تأثيرها على المجتمع. يقدم هذا الكتاب لمحة عامة عن الوضع الحالي للذكاء الاصطناعي و ML، واستكشاف فوائدهما ومخاطرهما المحتملة، والتحديات والفرص التي يمثلونها. كما يقدم نصائح عملية حول كيفية التنقل في هذا المشهد المعقد واتخاذ قرارات مستنيرة بشأن استخدام هذه التقنيات. يبدأ الكتاب بفحص تاريخ الذكاء الاصطناعي و ML، وتتبع تطورهما من التجارب المبكرة في رؤية الكمبيوتر ومعالجة اللغة الطبيعية إلى الخوارزميات المعقدة التي تحافظ على التطبيقات الحديثة تعمل. ثم يتعمق في المفاهيم والتقنيات الرئيسية التي تدعم هذه التقنيات، بما في ذلك التعلم العميق والشبكات العصبية ونقل التعلم.
隨著人工智能(AI)和機器學習(ML)的發展,世界正在迅速變化。這些技術可以改變我們生活的方方面面,從健康和教育到交通和娛樂。但是,AI和ML也有可能加劇現有的社會和經濟不平等,從而導致富人和窮人之間的差距擴大。為了使這些技術為所有人的利益服務,我們需要建立一個新的範式,以了解它們對社會的影響。本書概述了AI和ML的當前狀態,探討了它們的潛在優勢和風險以及它們帶來的挑戰和機遇。它還提供有關如何駕馭這一復雜景觀並就使用這些技術做出明智決策的實用建議。該書首先研究了AI和ML的歷史,追溯了它們從計算機視覺和自然語言處理的早期實驗到提供現代應用程序工作的復雜算法的演變。然後,他深入研究了這些技術背後的關鍵概念和技術,包括深度學習,神經網絡和學習轉移。

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