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Blueprints for Text Analytics using Python Machine Learning Based Solutions for Common Real World NLP Applications

and developers with blueprints for best practice solutions to common tasks in text analytics and natural language processing. Authors Jens;

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Hands-On Python Natural Language Processing

NLP applications in the real world. You'll cover key NLP tasks such as text classification, semantic embedding, sentiment analysis, machine;

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Machine Learning for Healthcare Analytics Projects

analytics projects using real-world datasets Implement key machine learning algorithms using a range of libraries from the Python ecosystem;

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Text Analytics with Python

Leverage Natural Language Processing (NLP) in Python and learn how to set up your own robust environment for performing text analytics;

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Text Analytics with Python

Leverage Natural Language Processing (NLP) in Python and learn how to set up your own robust environment for performing text analytics;

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Python Machine Learning Cookbook

, machine learning developers, deep learning enthusiasts and Python programmers who want to solve real-world challenges using machine-learning;

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Machine Learning and Data Science Blueprints for Finance From Building Trading Strategies to RoboAdvisors Using Python

, derivatives hedging, and portfolio management NLP techniques using Python libraries such as NLTK and scikit-learn for transforming text into;

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Artificial Intelligence for IoT Cookbook

AI techniques that facilitate analytics and learning in various IoT applications. Using a recipe-based approach, the book will take you;

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Deep Learning for NLP and Speech Recognition

learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP;

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Deep Learning for Nlp and Speech Recognition

learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP;

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Python Natural Language Processing

Learning and Deep Learning techniques for efficient natural language processing * Get started with NLTK and implement NLP in your applications;

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Natural Language Processing with Python Quick Start Guide

, subwords and characters in the English language for exploring document clustering Deep Learning in NLP using PyTorch with a code-driven;

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Real-World Natural Language Processing: Practical Applications with Deep Learning

is text, NLP can be useful for extracting meaning and bridging the gap between humans and machines. about the book Real-world Natural Language;

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Natural Language Processing Recipes

much more. The book presents the fundamentals necessary for applications of machine learning and deep learning in NLP. This second edition goes;

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Data Mining for Business Analytics

, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization;

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Natural Language Processing

Learn to build expert NLP and machine learning projects using NLTK and other Python libraries About This Book * Break text down into its;

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Natural Language Processing Recipes

processing. By using the recipes in this book, you will have a toolbox of solutions to apply to your own projects in the real world, making your;

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Building Machine Learning Systems with Python

, all tailored to solve real-world data analysis problems. By the end of this book, you will be able to build machine learning systems using;

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Hands-On Machine Learning with IBM Watson

insights from the data at hand using real-world examples. What you will learn Understand key characteristics of IBM machine learning services;

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Practical Natural Language Processing with Python

Work with natural language tools and techniques to solve real-world problems. This book focuses on how natural language processing (NLP;

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Natural Language Processing Fundamentals

Use Python and NLTK (Natural Language Toolkit) to build out your own text classifiers and solve common NLP problems. Key Features;

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Python

with Python machine learning for the real world, and develop solutions to real-world problems. Through this comprehensive course, you'll learn;

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Healthcare Analytics Made Simple

attributes to build successful healthcare models Build predictive models using real-world healthcare data Become an expert in predictive modeling;

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Natural Language Processing and Computational Linguistics

explore the more sophisticated areas of statistical NLP and deep learning using Python, with realistic language and text samples. You'll learn to;

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AI Blueprints

essential blueprints to program AI for real-world business applications Gain insights into how modern AI and machine learning solve core business;

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Python Machine Learning Cookbook

perform machine learning for each one of these using various techniques Who This Book Is For This book is for Python programmers who are;

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Machine Learning on Geographical Data Using Python

, and an overview of Python tools for geodata. Specifics and difficulties one may encounter when using geographical data are discussed: from;

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