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Exibindo: 397 - 440 de 6.341 resultados
Mastering Machine Learning Algorithms - Second Edition
Mastering Machine Learning Algorithms - Second Edition
2020
Pattern Recognition and Machine Learning
<P>This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition ...
2016
Practical Computer Vision Applications Using Deep Learning with CNNs
<div><div><div>Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book<i> </i>starts by explaining the traditional machine-learning pipeline, where you will analyze an image dataset. Along the way you will cover artificial neural net...
2018
Python Machine Learning
<p><strong>Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning.</strong></p><p><strong>Key Features</strong></p> <ul> <li>Third edition of the bestselling, widely acclaimed Python machine learning book</li> <li>Clear and intuitive explanations take you deep into the theory and practice of Python machine learning</li>...
2019
Statistics for Machine Learning
<p><strong>Build Machine Learning models with a sound statistical understanding.</strong></p><p><br></p><p><strong>Key Features:</strong></p><ul><li>Learn about the statistics behind powerful predictive models with p-value, ANOVA, and F- statistics.</li><li>Implement statistical computations programmatically for supervised and unsupervised learning through K-means clustering.</li><li>Master the st...
2017
The history of language learning and teaching ii
The history of language learning and teaching ii
2020
Learning portuguese
Um livro prático de português para estrangeiros. Em 32 lições, são apresentadas passo a passo diversas situações deconversação com exemplos da vida real. Expressõespopulares, temas de gramática e exercícios de pronúncia.Inúmeros exercícios com respostas.Acompanha um CD de áudio com os diálogos do livro.
2010
Representation learning for natural language processing
Representation learning for natural language processing
2020
Unsupervised Learning in Space and Time
<p></p><p>This book addresses one of the most important unsolved problems in artificial intelligence: the task of learning, in an unsupervised manner, from massive quantities of spatiotemporal visual data that are available at low cost. The book covers important scientific discoveries and findings, with a focus on the latest advances in the field.</p> <p>Presenting a coherent structure, the book ...
2020
Procura-se
O tempo que Ariane tem de vida é bem menor do que se imagina. Desde os seis anos, sofre com a doença arterial coronariana, uma deficiência cardíaca genética; rara em pessoas jovens, mas fatal. Mantendo-se com a ajuda de remédios, ela conta com a ajuda de seu pai e de sua irmã Becky. Para agravar a situação, após uma crise de insuficiência cardíaca, ela recebe a notícia de que deverá passar, o mais...
2015
CONDUTAS PARA O DIAGNÓSTICO E TRATAMENTO DE APNEIA OBSTRUTIVA DO SONO EM ADULTOS
Fazemos parte de uma instituição que tem como preceitos (e tradição) a excelência de qualidade na assistência e geração de conhecimento na área da saúde. Há alguns anos, foi implementado no Hospital Israelita Albert Einstein (HIAE) o conceito de “Grupo Médico Assistencial” (GMA) que é o conjunto de profissionais da área da saúde responsável pelos processos e ações para melhorar a qualidade e segur...
Beginning Deep Learning with TensorFlow
Incorporate deep learning into your development projects through hands-on coding and the latest versions of deep learning software, such as TensorFlow 2 and Keras. The materials used in this book are based on years of successful online education experience and feedback from thousands of online learners. <div><br></div><div><div>You'll start with an introduction to AI, where you'll learn the h...
2022
Deep Learning with Applications Using Python
<div><p>1. Basics of Tensorflow<br></p><p>2. Basics of Keras</p><p>3. Multilayered Perceptron</p><p>4. Regression to MLP in Tensorflow</p><p>5. Regression to MLP in Keras</p><p>6. CNN in Visuals</p><p>7. CNN with Tensorflow</p><p>8. CNN with Keras</p><p>9. RNN and LSTM </p><p>10. Speech to Text and Vice Versa</p><p>11. Developing Chatbots</p><p>12. Face Detection and Face Recognition</p></div><div...
2018
Deep learning with tensorflow 2 and keras - second edition
Deep learning with tensorflow 2 and keras - second edition
2019
Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits
<p><strong>Integrate scikit-learn with various tools such as NumPy, pandas, imbalanced-learn, and scikit-surprise and use it to solve real-world machine learning problems</strong></p><p><strong>Key Features</strong></p> <ul> <li>Delve into machine learning with this comprehensive guide to scikit-learn and scientific Python</li> <li>Master the art of data-driven problem-solving with hands-on exam...
2020
Learning Pentaho Data Integration 8 CE - Third Edition
<p><strong>Get up and running with the Pentaho Data Integration tool using this hands-on, easy-to-read guide</strong></p><p><strong>Key Features</strong></p><ul><li>Manipulate your data by exploring, transforming, validating, and integrating it using Pentaho Data Integration 8 CE</li><li>A comprehensive guide exploring the features of Pentaho Data Integration 8 CE</li><li>Connect to any database e...
2017
Learning Sparql
<DIV><P>Gain hands-on experience with SPARQL, the RDF query language that’s bringing new possibilities to semantic web, linked data, and big data projects. This updated and expanded edition shows you how to use SPARQL 1.1 with a variety of tools to retrieve, manipulate, and federate data from the public web as well as from private sources. </P><P> Author Bob DuCharme has you writing simple q...
2013
Machine Learning with PySpark
<div><p>Chapter 1: Introduction to Spark 3.1</p><p>Chapter Goal: The book's opening chapter introduces the readers to latest changes in PySpark and updates to the framework. This chapter covers the different components of Spark ecosystem. The chapter doubles up as an introduction to the book's format, including explanation of formatting practices, pointers to the book's accompanying codebase...
2021
MATLAB for Machine Learning
<p><strong>Extract patterns and knowledge from your data in easy way using MATLAB</strong></p><p> </p><p><strong>Key Features</strong></p><ul><li>Get your first steps into machine learning with the help of this easy-to-follow guide</li><li>Learn regression, clustering, classification, predictive analytics, artificial neural networks and more with MATLAB</li><li>Understand how your data works and i...
2017
Outstanding differentiation for learning in the classroom
Outstanding differentiation for learning in the classroom
2015
Python Machine Learning by Example - Third Edition
<p><strong style="color: rgba(68, 68, 68, 1)">A comprehensive guide to get you up to speed with the latest developments of practical machine learning with Python and upgrade your understanding of machine learning (ML) algorithms and techniques</strong></p><p><br></p><p><strong>Key Features</strong></p><ul><li><span style="color: rgba(68, 68, 68, 1)">Dive into machine learning algorithms to solve t...
2020