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Produkte zum Begriff Developing-Learning-Communities-Through:


  • Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications
    Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications

    Foundational Hands-On Skills for Succeeding with Real Data Science Projects This pragmatic book introduces both machine learning and data science, bridging gaps between data scientist and engineer, and helping you bring these techniques into production. It helps ensure that your efforts actually solve your problem, and offers unique coverage of real-world optimization in production settings. –From the Foreword by Paul Dix, series editor Machine Learning in Production is a crash course in data science and machine learning for people who need to solve real-world problems in production environments. Written for technically competent “accidental data scientists” with more curiosity and ambition than formal training, this complete and rigorous introduction stresses practice, not theory.   Building on agile principles, Andrew and Adam Kelleher show how to quickly deliver significant value in production, resisting overhyped tools and unnecessary complexity. Drawing on their extensive experience, they help you ask useful questions and then execute production projects from start to finish.   The authors show just how much information you can glean with straightforward queries, aggregations, and visualizations, and they teach indispensable error analysis methods to avoid costly mistakes. They turn to workhorse machine learning techniques such as linear regression, classification, clustering, and Bayesian inference, helping you choose the right algorithm for each production problem. Their concluding section on hardware, infrastructure, and distributed systems offers unique and invaluable guidance on optimization in production environments.   Andrew and Adam always focus on what matters in production: solving the problems that offer the highest return on investment, using the simplest, lowest-risk approaches that work. Leverage agile principles to maximize development efficiency in production projectsLearn from practical Python code examples and visualizations that bring essential algorithmic concepts to lifeStart with simple heuristics and improve them as your data pipeline maturesAvoid bad conclusions by implementing foundational error analysis techniquesCommunicate your results with basic data visualization techniquesMaster basic machine learning techniques, starting with linear regression and random forestsPerform classification and clustering on both vector and graph dataLearn the basics of graphical models and Bayesian inferenceUnderstand correlation and causation in machine learning modelsExplore overfitting, model capacity, and other advanced machine learning techniquesMake informed architectural decisions about storage, data transfer, computation, and communication Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

    Preis: 35.3 € | Versand*: 0 €
  • Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications
    Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications

    Foundational Hands-On Skills for Succeeding with Real Data Science Projects This pragmatic book introduces both machine learning and data science, bridging gaps between data scientist and engineer, and helping you bring these techniques into production. It helps ensure that your efforts actually solve your problem, and offers unique coverage of real-world optimization in production settings. –From the Foreword by Paul Dix, series editor Machine Learning in Production is a crash course in data science and machine learning for people who need to solve real-world problems in production environments. Written for technically competent “accidental data scientists” with more curiosity and ambition than formal training, this complete and rigorous introduction stresses practice, not theory.   Building on agile principles, Andrew and Adam Kelleher show how to quickly deliver significant value in production, resisting overhyped tools and unnecessary complexity. Drawing on their extensive experience, they help you ask useful questions and then execute production projects from start to finish.   The authors show just how much information you can glean with straightforward queries, aggregations, and visualizations, and they teach indispensable error analysis methods to avoid costly mistakes. They turn to workhorse machine learning techniques such as linear regression, classification, clustering, and Bayesian inference, helping you choose the right algorithm for each production problem. Their concluding section on hardware, infrastructure, and distributed systems offers unique and invaluable guidance on optimization in production environments.   Andrew and Adam always focus on what matters in production: solving the problems that offer the highest return on investment, using the simplest, lowest-risk approaches that work. Leverage agile principles to maximize development efficiency in production projectsLearn from practical Python code examples and visualizations that bring essential algorithmic concepts to lifeStart with simple heuristics and improve them as your data pipeline maturesAvoid bad conclusions by implementing foundational error analysis techniquesCommunicate your results with basic data visualization techniquesMaster basic machine learning techniques, starting with linear regression and random forestsPerform classification and clustering on both vector and graph dataLearn the basics of graphical models and Bayesian inferenceUnderstand correlation and causation in machine learning modelsExplore overfitting, model capacity, and other advanced machine learning techniquesMake informed architectural decisions about storage, data transfer, computation, and communication Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

    Preis: 35.3 € | Versand*: 0 €
  • Montessori Toys Busy Board Sensory Activity Developing Board for Motor Skills,Learning Board for
    Montessori Toys Busy Board Sensory Activity Developing Board for Motor Skills,Learning Board for

    Montessori Toys Busy Board Sensory Activity Developing Board for Motor Skills,Learning Board for

    Preis: 62.34 € | Versand*: 21.73 €
  • Montessori Toys Busy Board Sensory Activity Developing Board for Motor Skills,Learning Board for
    Montessori Toys Busy Board Sensory Activity Developing Board for Motor Skills,Learning Board for

    Montessori Toys Busy Board Sensory Activity Developing Board for Motor Skills,Learning Board for

    Preis: 63.71 € | Versand*: 21.73 €
  • Warum Deep Learning im Vergleich zu Machine Learning?

    Deep Learning unterscheidet sich von Machine Learning durch seine Fähigkeit, automatisch Merkmale aus den Daten zu extrahieren, anstatt dass diese manuell definiert werden müssen. Dadurch ist Deep Learning in der Lage, komplexere und abstraktere Muster in den Daten zu erkennen und zu lernen. Dies ermöglicht es Deep Learning-Modellen, in vielen Anwendungsbereichen, wie Bild- und Spracherkennung, bessere Leistungen zu erzielen als herkömmliche Machine Learning-Modelle.

  • Was ist der Unterschied zwischen Deep Learning und Machine Learning?

    Deep Learning ist eine spezielle Methode des Machine Learning, die auf künstlichen neuronalen Netzwerken basiert. Es ermöglicht das Lernen von hierarchischen und komplexen Merkmalsdarstellungen, um automatisch Muster und Strukturen in Daten zu erkennen. Im Gegensatz dazu ist Machine Learning ein breiterer Begriff, der verschiedene Algorithmen und Techniken umfasst, um Computermodelle zu erstellen, die aus Daten lernen und Vorhersagen treffen können. Deep Learning ist also eine Teilmenge des Machine Learning.

  • Kennt jemand Selbstversorger-Communities?

    Ja, es gibt viele Selbstversorger-Communities auf der ganzen Welt. Einige bekannte Beispiele sind die Findhorn Community in Schottland, die Auroville Community in Indien und die ZEGG Gemeinschaft in Deutschland. Diese Gemeinschaften streben nach nachhaltigem Leben und versuchen, so viel wie möglich von ihren eigenen Ressourcen zu produzieren.

  • Was kostet ein Sachverständiger für Immobilienbewertung?

    Was kostet ein Sachverständiger für Immobilienbewertung? Die Kosten für einen Sachverständigen können je nach Region, Erfahrung und Qualifikation variieren. In der Regel liegen die Preise für eine Immobilienbewertung zwischen einigen hundert bis zu mehreren tausend Euro. Es ist ratsam, vorab mehrere Angebote einzuholen und die Leistungen der Sachverständigen zu vergleichen. Zudem können zusätzliche Kosten für Anfahrt, Gutachten oder spezielle Expertisen anfallen. Es ist wichtig, sich im Vorfeld über die genauen Kosten und Leistungen zu informieren, um eine fundierte Entscheidung zu treffen.

Ähnliche Suchbegriffe für Developing-Learning-Communities-Through:


  • Montessori Toys Busy Board Sensory Activity Developing Board for Motor Skills,Learning Board for
    Montessori Toys Busy Board Sensory Activity Developing Board for Motor Skills,Learning Board for

    Montessori Toys Busy Board Sensory Activity Developing Board for Motor Skills,Learning Board for

    Preis: 62.34 € | Versand*: 21.73 €
  • Montessori Toys Busy Board Sensory Activity Developing Board for Motor Skills,Learning Board for
    Montessori Toys Busy Board Sensory Activity Developing Board for Motor Skills,Learning Board for

    Montessori Toys Busy Board Sensory Activity Developing Board for Motor Skills,Learning Board for

    Preis: 63.71 € | Versand*: 21.73 €
  • Developing Child, The
    Developing Child, The

    The Developing Child gives students the tools they need to organise, retain, and apply information from the broad field of child psychology, while offering balanced coverage of theory and application. Through The Developing Child Helen Bee and Denise Boyd generate excitement about scientific inquiry by connecting research with applications. All integrated features within the text are designed to engage students and provide them with the support they need to understand, learn, and apply the material. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. Samples Preview sample pages from The Developing Child, Pearson New International Edition

    Preis: 47.07 € | Versand*: 0 €
  • JavaFX: Developing Rich Internet Applications
    JavaFX: Developing Rich Internet Applications

    Build Rich Applications that Run on the Desktop, the Web, Mobile Devices...Anywhere!   Using JavaFX, developers and graphic designers can work together to build robust, immersive applications and deploy them anywhere: on the desktop, on the Web, and on millions of Java-enabled mobile devices. JavaFX lets you maintain your existing graphics and seamlessly integrate them into Java applications. Plus, JavaFX Script is a declarative language that allows you to preserve your investment in the Java platform while allowing more creativity with JavaFX’s Rich Internet Application environment.   JavaFX™: Developing Rich Internet Applications brings together all the knowledge, techniques, and reusable code you need to quickly deliver production-quality solutions. Writing for both developers and designers, the authors explain how JavaFX simplifies and improves the RIA development process, and they show how to make the most of its ready-built components and frameworks.   JavaFX™ covers everything from data integration to multimedia, special effects to REST. The authors present a full chapter of code recipes and a complete case study application. This book’s wide-ranging content includes   Building and running JavaFX programs Understanding the role of graphics designers in creating JavaFX Graphical Assets Writing fast, efficient JavaFX Script programs Using data binding to simplify Model-View-Controller application design Creating rich user experiences with JavaFX visual components Bringing user interfaces to life with lighting, reflection, and other special effects Adding motion with the JavaFX animation framework Incorporating pictures, sound, and videos in your applications Creating RESTful applications with JSON and XML Writing JavaFX applications that make the most of the underlying Java platform   The Java™ Series is supported, endorsed, and authored by the creators of the Java technology at Sun Microsystems, Inc. It is the official place to go for complete, expert, and definitive information on Java technology. The books in this Series provide the inside information you need to build effective, robust, and portable applications and applets. The Series is an indispensable resource for anyone targeting the Java platform.

    Preis: 16.04 € | Versand*: 0 €
  • Was macht ein Sachverständiger für Immobilienbewertung?

    Ein Sachverständiger für Immobilienbewertung ist ein Experte, der den Wert von Immobilien objektiv und professionell schätzt. Dazu analysiert er verschiedene Faktoren wie Lage, Größe, Zustand und Markttrends. Er erstellt Gutachten, die als Grundlage für Kauf- oder Verkaufsentscheidungen dienen. Zudem kann er bei Streitfällen oder gerichtlichen Auseinandersetzungen als neutraler Gutachter fungieren. Ein Sachverständiger für Immobilienbewertung muss über fundierte Kenntnisse des Immobilienmarktes, Bauwesens und Rechtsvorschriften verfügen.

  • Was verdient ein Sachverständiger für Immobilienbewertung?

    Was verdient ein Sachverständiger für Immobilienbewertung? Die Vergütung eines Sachverständigen für Immobilienbewertung kann je nach Erfahrung, Qualifikation und Region variieren. In der Regel werden Honorare pro Stunde oder pro Gutachten berechnet. Ein erfahrener Sachverständiger kann zwischen 80 und 150 Euro pro Stunde verdienen. Für ein umfangreiches Gutachten können die Kosten auch mehrere tausend Euro betragen. Es ist wichtig, dass die Vergütung fair und angemessen ist, um die Qualität und Genauigkeit der Immobilienbewertung sicherzustellen.

  • Was ist die Übersetzung von "going through changes"?

    Die Übersetzung von "going through changes" ins Deutsche lautet "Veränderungen durchmachen".

  • Kennt ihr deutsche Furry-Communities?

    Ja, es gibt verschiedene deutsche Furry-Communities, in denen sich Menschen mit einem Interesse an anthropomorphen Tieren austauschen und vernetzen können. Einige bekannte Beispiele sind das "Deutsche Furry Forum" und die "Furry Deutschland" Gruppe auf Telegram. Es gibt auch regelmäßige Treffen und Conventions für Furries in Deutschland.

* Alle Preise verstehen sich inklusive der gesetzlichen Mehrwertsteuer und ggf. zuzüglich Versandkosten. Die Angebotsinformationen basieren auf den Angaben des jeweiligen Shops und werden über automatisierte Prozesse aktualisiert. Eine Aktualisierung in Echtzeit findet nicht statt, so dass es im Einzelfall zu Abweichungen kommen kann.