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AI Rookies Labs Beginning NLP with Orange

Visual, No-Code Text Analysis

de Data Analytics Curriculum ...

AI Rookies Labs: Beginning NLP with Orange is a hands-on, visual lab workbook that introduces students to natural language processing (NLP) using the no-code Orange data mining platform. Designed for high school, college, and independent learners, this book teaches core concepts such as text preprocessing, sentiment analysis, topic modeling, and text classification-without requiring any ... Leer más

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AI Rookies Labs: Beginning NLP with Orange is a hands-on, visual lab workbook that introduces students to natural language processing (NLP) using the no-code Orange data mining platform. Designed for high school, college, and independent learners, this book teaches core concepts such as text preprocessing, sentiment analysis, topic modeling, and text classification-without requiring any
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Building Machine Learning Systems with Python

de Willi Richert, Luis Pedro Coelho ...

This is a tutorial-driven and practical, but well-grounded book showcasing good Machine Learning practices. There will be an emphasis on using existing technologies instead of showing how to write your own implementations of algorithms. This book is a scenario-based, example-driven tutorial. By the end of the book you will have learnt critical aspects of Machine Learning Python projects and ... Leer más

$27.99 USD o gratis con Kobo Plus

This is a tutorial-driven and practical, but well-grounded book showcasing good Machine Learning practices. There will be an emphasis on using existing technologies instead of showing how to write your own implementations of algorithms. This book is a scenario-based, example-driven tutorial. By the end of the book you will have learnt critical aspects of Machine Learning Python projects and
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Deep Learning for Computer Vision

Expert techniques to train advanced neural networks using TensorFlow and Keras

de Rajalingappaa Shanmugamani ...

Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasksKey Features\[\*\] Train different kinds of deep learning model from scratch to solve specific problems in Computer Vision\[\*\] Combine the power of Python, Keras, and TensorFlow to build deep learning models for object detection, image classification, similarity learning, image captioning, and ... Leer más

$34.99 USD o gratis con Kobo Plus

Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasksKey Features\[\*\] Train different kinds of deep learning model from scratch to solve specific problems in Computer Vision\[\*\] Combine the power of Python, Keras, and TensorFlow to build deep learning models for object detection, image classification, similarity learning, image captioning, and
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Deep Learning Cookbook

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de Douwe Osinga ...

Deep learning doesn’t have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Tensorflow, software engineers without a background in machine learning can quickly enter the field. With the recipes in this cookbook, you’ll learn how to solve deep-learning problems for classifying and generating text, images, and music.Each ... Leer más

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Deep learning doesn’t have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Tensorflow, software engineers without a background in machine learning can quickly enter the field. With the recipes in this cookbook, you’ll learn how to solve deep-learning problems for classifying and generating text, images, and music.Each
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Advanced Analytics with R and Tableau

Advanced analytics using data classification, unsupervised learning and data visualization

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Leverage the power of advanced analytics and predictive modeling in Tableau using the statistical powers of RKey FeaturesA comprehensive guide that will bring out the creativity in you to visualize the results of complex calculations using Tableau and RCombine Tableau analytics and visualization with the power of R using this step-by-step guideWondering how R can be used with Tableau? This book is ... Leer más

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Leverage the power of advanced analytics and predictive modeling in Tableau using the statistical powers of RKey FeaturesA comprehensive guide that will bring out the creativity in you to visualize the results of complex calculations using Tableau and RCombine Tableau analytics and visualization with the power of R using this step-by-step guideWondering how R can be used with Tableau? This book is
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Building Machine Learning Systems with Python

Explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow

de Luis Pedro Coelho, Willi Richert, Matthieu Brucher ...

Build intelligent end-to-end machine learning systems with PythonKey FeaturesUse scikit-learn and TensorFlow to train your machine learning modelsImplement popular supervised and unsupervised machine learning algorithms in PythonDiscover best practices for building production-grade machine learning systems from scratchBook DescriptionMachine learning enables systems to make predictions based on ... Leer más

$34.99 USD o gratis con Kobo Plus

Build intelligent end-to-end machine learning systems with PythonKey FeaturesUse scikit-learn and TensorFlow to train your machine learning modelsImplement popular supervised and unsupervised machine learning algorithms in PythonDiscover best practices for building production-grade machine learning systems from scratchBook DescriptionMachine learning enables systems to make predictions based on
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Hands-On Natural Language Processing with Python

A practical guide to applying deep learning architectures to your NLP applications

de Rajesh Arumugam, Rajalingappaa Shanmugamani ...

Foster your NLP applications with the help of deep learning, NLTK, and TensorFlowKey FeaturesWeave neural networks into linguistic applications across various platformsPerform NLP tasks and train its models using NLTK and TensorFlowBoost your NLP models with strong deep learning architectures such as CNNs and RNNsBook DescriptionNatural language processing (NLP) has found its application in ... Leer más

$34.99 USD o gratis con Kobo Plus

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Machine Learning for OpenCV 4

Intelligent algorithms for building image processing apps using OpenCV 4, Python, and scikit-learn

de Aditya Sharma, Vishwesh Ravi Shrimali, Michael Beyeler, Michael Beyeler (USD) ...

A practical guide to understanding the core machine learning and deep learning algorithms, and implementing them to create intelligent image processing systems using OpenCV 4Key FeaturesGain insights into machine learning algorithms, and implement them using OpenCV 4 and scikit-learnGet up to speed with Intel OpenVINO and its integration with OpenCV 4Implement high-performance machine learning ... Leer más

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A practical guide to understanding the core machine learning and deep learning algorithms, and implementing them to create intelligent image processing systems using OpenCV 4Key FeaturesGain insights into machine learning algorithms, and implement them using OpenCV 4 and scikit-learnGet up to speed with Intel OpenVINO and its integration with OpenCV 4Implement high-performance machine learning
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Python Machine Learning By Example

Implement machine learning algorithms and techniques to build intelligent systems

de Yuxi (Hayden) Liu ...

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$26.99 USD o gratis con Kobo Plus

Grasp machine learning concepts, techniques, and algorithms with the help of real-world examples using Python libraries such as TensorFlow and scikit-learnKey FeaturesExploit the power of Python to explore the world of data mining and data analyticsDiscover machine learning algorithms to solve complex challenges faced by data scientists todayUse Python libraries such as TensorFlow and Keras to
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Fast Track UML 2.0

de Kendall Scott ...

Series series Professional and Applied Computing (R0)
The Unified Modeling Language (UML) is a methodology to document the analysis and design of the software development process. Through the use of standard diagrams for such concepts as use cases, interactions, and collaborations, among many others, "Fast Track UML 2.0" explores the modeling techniques and the changes since the prior UML 1.3 standard.This book presents a distillation of the contents ... Leer más

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The Unified Modeling Language (UML) is a methodology to document the analysis and design of the software development process. Through the use of standard diagrams for such concepts as use cases, interactions, and collaborations, among many others, "Fast Track UML 2.0" explores the modeling techniques and the changes since the prior UML 1.3 standard.This book presents a distillation of the contents
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Text Mining in Practice with R

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A reliable, cost-effective approach to extracting priceless business information from all sources of textExcavating actionable business insights from data is a complex undertaking, and that complexity is magnified by an order of magnitude when the focus is on documents and other text information. This book takes a practical, hands-on approach to teaching you a reliable, cost-effective approach to ... Leer más

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A reliable, cost-effective approach to extracting priceless business information from all sources of textExcavating actionable business insights from data is a complex undertaking, and that complexity is magnified by an order of magnitude when the focus is on documents and other text information. This book takes a practical, hands-on approach to teaching you a reliable, cost-effective approach to
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Academic English for Computer Science

Academic English

de Disigma Publications, Noni Rizopoulou ...

Series series Academic English
Academic English for Computer Science aims to provide a tool for the effective study of computational science and technology. It addresses international students who use English as a second language. It can be used as a foundation course in undergraduate programs of computer science, computer engineering, and information technology.The material of this course draws content from core areas of ... Leer más

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Academic English for Computer Science aims to provide a tool for the effective study of computational science and technology. It addresses international students who use English as a second language. It can be used as a foundation course in undergraduate programs of computer science, computer engineering, and information technology.The material of this course draws content from core areas of
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AI Rookies Labs Beginning NLP with Orange

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Building Machine Learning Systems with Python

Deep Learning for Computer Vision

Deep Learning Cookbook

Advanced Analytics with R and Tableau

Building Machine Learning Systems with Python

Hands-On Natural Language Processing with Python

Machine Learning for OpenCV 4

Python Machine Learning By Example

Fast Track UML 2.0

Text Mining in Practice with R

Academic English for Computer Science

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