Book

Eduquer ou périr

  • Auteur: JOSEPH KI-ZERBO
  • ISBN: 2-7384-0644-0
  • Categorie: Livre
  • Maison Edition: L'Harmattan
  • Ville Edition: Paris
  • Année Edition: 1990
  • Domaine: Histoire de l'Afrique
  • ☆ ☆ ☆ ☆ ☆

-

Book

TCPIP

  • Auteur: Siyan Karanjit
  • ISBN: 1-56205-714-6
  • Categorie: Livre
  • Maison Edition: Campus Press
  • Ville Edition: Paris
  • Année Edition: 2003
  • Domaine: Réseaux Informatiques
  • ☆ ☆ ☆ ☆ ☆

-

Book

MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence

  • Auteur: Phil Kim
  • ISBN: 978-1-4842-2845-6
  • Categorie: Livre
  • Maison Edition: Apress
  • Ville Edition:
  • Année Edition: 2027
  • Domaine: Intelligence Artificielle
  • ☆ ☆ ☆ ☆ ☆

Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolutional neural networks. In a blend of fundamentals and applications, MATLAB Deep Learning employs MATLAB as the underlying programming language and tool for the examples and case studies in this book. With this book, you'll be able to tackle some of today's real world big data, smart bots, and other complex data problems. You’ll see how deep learning is a complex and more intelligent aspect of machine learning for modern smart data analysis and usage.

Book

All Clear: Listening and Speaking

  • Auteur: Helen Kalkstein Fragiadakis
  • ISBN:
  • Categorie: Livre
  • Maison Edition: Heinle ELT
  • Ville Edition:
  • Année Edition: 2007
  • Domaine: Linguistique
  • ☆ ☆ ☆ ☆ ☆

All Clear teaches students to recognize and produce the high-frequency idioms, phrases, and contemporary expressions needed in a range of conversational situations. Each lesson focuses initially on chunks of language in the form of idioms and other expressions (collocations) and then provides many structured and communicative activities for speaking, listening, grammar, writing, pronunciation, and public speaking practice.

Book

Learning Google Cloud Vertex AI: Build, deploy, and manage machine learning models with Vertex AI

  • Auteur: Hemanth Kumar K
  • ISBN:
  • Categorie: Livre
  • Maison Edition: BPB
  • Ville Edition:
  • Année Edition: 2024
  • Domaine: Intelligence Artificielle
  • ☆ ☆ ☆ ☆ ☆

Learn how to build an end-to-end data to AI solution on Google Cloud using Vertex AI KEY FEATURES ? Harness the power of AutoML capabilities to build machine learning models. ? Learn how to train custom machine learning models on the Google Cloud Platform. ? Accelerate your career in data analytics by leveraging the capabilities of GCP. DESCRIPTION Google Cloud Vertex AI is a platform for machine learning (ML) offered by Google Cloud, with the objective of making the creation, deployment, and administration of ML models on a large scale easier. If you are seeking a unified and collaborative environment for your ML projects, this book is a valuable resource for you. This comprehensive guide is designed to help data enthusiasts effectively utilize Google Cloud Platform's Vertex AI for a wide range of machine learning operations. It covers the basics of the Google Cloud Platform, encompassing cloud storage, big query, and IAM. Subsequently, it delves into the specifics of Vertex AI, including AutoML, custom model training, model deployment on endpoints, development of Vertex AI pipelines, and the Explainable AI feature store. By the time you finish reading this book, you will be able to navigate Vertex AI proficiently, even if you lack prior experience with cloud platforms. With the inclusion of numerous code examples throughout the book, you will be equipped with the necessary skills and confidence to create machine learning solutions using Vertex AI. WHAT YOU WILL LEARN ? Learn how to create projects, store data in GCP, and manage access permissions effectively. ? Discover how AutoML can be utilized for streamlining workflows. ? Learn how to construct pipelines using TFX (TensorFlow Extended) and Kubeflow components. ? Gain an overview of the purpose and significance of the Feature Store. ? Explore the concept of explainable AI and its role in understanding machine learning models. WHO THIS BOOK IS FOR This book is designed for data scientists and advanced AI practitioners who are interested in learning how to perform machine learning tasks on the Google Cloud Platform. Having prior knowledge of machine learning concepts and proficiency in Python programming would greatly benefit readers. TABLE OF CONTENTS 1. Basics of Google Cloud Platform 2. Introduction to Vertex AI and AutoML Tabular 3. AutoML Image, Text, and Pre-built Models 4. Vertex AI Workbench and Custom Model Training 5. Vertex AI Custom Model Hyperparameter and Deployment 6. Introduction to Pipelines and Kubeflow 7. Pipelines using Kubeflow for Custom Models 8. Pipelines using TensorFlow Extended 9. Vertex AI Feature Store 10. Explainable AI

Book

Google Machine Learning and Generative AI for Solutions Architects

  • Auteur: Kieran Kavanagh
  • ISBN: 9781801815260
  • Categorie: Livre
  • Maison Edition: Packt
  • Ville Edition:
  • Année Edition: 2024
  • Domaine: Intelligence Artificielle
  • ☆ ☆ ☆ ☆ ☆

Architect and run real-world AI/ML solutions at scale on Google Cloud, and discover best practices to address common industry challenges effectively

Book

Fundamentals of Mechanical Vibration

  • Auteur: S. Graham Kelly
  • ISBN:
  • Categorie: Livre
  • Maison Edition: McGraw-Hill Science/Engineering/Math
  • Ville Edition: New York
  • Année Edition: 2000
  • Domaine: Mécanique
  • ☆ ☆ ☆ ☆ ☆

With a successful first edition, the popularity of the book will continue in its revision as it incorporates a chapter on Finite Elements, and new problems including Matlab and Mathcad problems.