Machine learning

El objetivo principal de este libro es proporcionar una visión general sobre cómo el Machine learning y sus técnicas pueden aplicarse para predecir variables numéricas o categóricas en diversos campos del conocimiento.

Get the big picture and the important details with this end-to-end guide for designing highly effective, reliable machine learning systems.

Learn how machine learning algorithms work from the ground up so you can effectively troubleshoot your models and improve their performance.

Optimize the performance of your systems with practical experiments used by engineers in the world's most competitive industries.

Ensemble machine learning combines the power of multiple machine learning approaches, working together to deliver models that are highly performant and highly accurate.

NanoMind"e; serves as a captivating exploration at the crossroads of nanotechnology and machine learning, revealing the profound synergies between these two groundbreaking fields.

Guide machine learning projects from design to production with the techniques in this unique project management guide.

Summary Humans learn best from feedbackwe are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences.

Unlock the groundbreaking advances of deep learning with this extensively revised edition of the bestselling original.

Apply cutting-edge machine learning techniquesfrom crowdsourced relevance and knowledge graph learning, to Large Language Models (LLMs)to enhance the accuracy and relevance of your search results.

When you know the cause of an event, you can affect its outcome.

SummaryGrokking Deep Learning teaches you to build deep learning neural networks from scratch!

Summary Real-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution.

Build predictive models from time-based patterns in your data.

Deliver huge improvements to your machine learning pipelines without spending hours fine-tuning parameters!

Summary The Spark distributed data processing platform provides an easy-to-implement tool for ingesting, streaming, and processing data from any source.

Time to flex your machine learning muscles!

Human-in-the-Loop Machine Learning lays out methods for humans and machines to work together effectively.

Simplify data science infrastructure to give data scientists an efficient path from prototype to production.

Upgrade your machine learning models with graph-based algorithms, the perfect structure for complex and interlinked data.

Summary Imagine predicting which customers are thinking about switching to a competitor or flagging potential process failures before they happen Think about the benefits of forecasting tedious business processes and back-office tasks Envision quickly gauging customer sentiment from social media content (even large volumes of it).

Summary Machine Learning Systems: Designs that scale is an example-rich guide that teaches you how to implement reactive design solutions in your machine learning systems to make them as reliable as a well-built web app.

This book collects together selected peer-reviewed contributions presented at the European Conference on Data Analysis, ECDA 2022, held in Naples, Italy, September 14-16, 2022.

This book explores the dynamics of how AI (Artificial Intelligence) technology intersects with cybersecurity challenges and threat intelligence as they evolve.

Business runs on tabular data in databases, spreadsheets, and logs.

Im vorliegenden Buch soll eine praxisorientierte Einführung und ein aktueller Überblick darüber gegeben werden, was Data-Science und der Beruf Data-Scientist umfassen.

Technik von gestern - Herausforderung für heute - Chance für morgen!

Why you should worry less about AI and more about what makes us humanWe are at a crossroads in history.

El presente libro tiene una clara vocación didáctica, se dirige a todas las personas que quieren adentrarse en el apasionante campo del aprendizaje automático combinando la teórica con la práctica para que sea sencillo asimilar las explicaciones.

Why you should worry less about AI and more about what makes us humanWe are at a crossroads in history.

Bridges the gap between AI and neuroscience by telling the story of how the brain came to be.

Nahezu alle Menschen werden zunehmend mit den Anwendungen der "Künstlichen Intelligenz" (KI oder AI für engl.

Most people are increasingly confronted with the applications of Artificial Intelligence (AI).

Introducción a la ingeniería espacial proporciona un preámbulo a los fundamentos que constituyen esa especialización de la ingeniería, tanto en el segmento espacial como en el terrestre.

Intelligent agents are employed as the central characters in this new introductory text.

Das Metaverse ist nicht nur ein Hype, sondern eine reale Chance, die Arbeitswelt von morgen zu gestalten.

Los investigadores, estudiantes o profesionales de la industria involucrados en temas de Aprendizaje Automático encontrarán en este libro una referencia de base sobre las tecnologías teórico-prácticas más avanzadas en dicho campo, proporcionadas por los diecinueve autores que han unido sus esfuerzos y elaborado sus contenidos.

TensorFlow ist Googles herausragendes Werkzeug für das maschinelle Lernen, und dieses Buch macht es zugänglich, selbst wenn Sie bisher wenig über neuronale Netze und Deep Learning wissen.

THIS ISN'T AN EPISODE OF BLACK MIRROR.

Vertiefendes Wissen von Deep Learning über Computer Vision bis Natural Language Processing- Schließt die Lücke zwischen Grundlagen und Profiwissen- Einfache, prägnante Erklärungen zu wichtigen und aktuellen Themen- Mit Übungsaufgaben sowie Codebeispielen auf GitHub Sie verfügen bereits über Grundkenntnisse zu maschinellem Lernen und künstlicher Intelligenz, haben aber viele Fragen und wollen tiefer in wesentliche und aktuelle Konzepte eintauchen?

The past decade has witnessed extraordinary advances in artificial intelligence.

In the digital age, our personal data has become a valuable commodity, sought after by corporations, organizations, and governments alike.

Vertiefendes Wissen von Deep Learning über Computer Vision bis Natural Language Processing- Schließt die Lücke zwischen Grundlagen und Profiwissen- Einfache, prägnante Erklärungen zu wichtigen und aktuellen Themen- Mit Übungsaufgaben sowie Codebeispielen auf GitHub Sie verfügen bereits über Grundkenntnisse zu maschinellem Lernen und künstlicher Intelligenz, haben aber viele Fragen und wollen tiefer in wesentliche und aktuelle Konzepte eintauchen?

An authoritative and in-depth treatment of state space methods, with a range of applications in neural and clinical data.

An authoritative and in-depth treatment of state space methods, with a range of applications in neural and clinical data.

Covers text mining and link detection algorithms, pre-processing techniques, knowledge representation, visualization and applications.

This second edition explains how computer software is designed to perform the tasks required for sophisticated statistical analysis.

Machine learning and optimization techniques are revolutionizing our world.

Machine learning and optimization techniques are revolutionizing our world.

FUNDAMENTALS AND METHODS OF MACHINE AND DEEP LEARNING The book provides a practical approach by explaining the concepts of machine learning and deep learning algorithms, evaluation of methodology advances, and algorithm demonstrations with applications.