Get started with natural language processing by tokenizing text, replacing and correcting words, and classifying text :
This book is for Python programmers who want to quickly get to grips with using the NLTK for Natural Language Processing. Familiarity with basic text processing concepts is required. Programmers experienced in the NLTK will also find it useful. Students of linguistics will find it invaluable.
Author/Authors: Perkins, Jacob
Pages: 92 | Published Date: 40682
Category: Data
Successfully scrape data from any website with the power of Python 3.x :
The Internet contains the most useful set of data ever assembled, most of which is publicly accessible for free. However, this data is not easily usable. It is embedded within the structure and style of websites and needs to be carefully extracted. Web scraping is becoming increasingly useful as a means to gather and make sense of the wealth of information available online. This book is the ultimate guide to using the latest features of Python 3.x to scrape data from websites. In the early chapters, you’ll see how to extract data from static web pages. You’ll learn to use caching with databases and files to save time and manage the load on servers. After covering the basics, you’ll get hands-on practice building a more sophisticated crawler using browsers, crawlers, and concurrent scrapers. You’ll determine when and how to scrape data from a JavaScript-dependent website using PyQt and Selenium. You’ll get a better understanding of how to submit forms on complex websites protected by CAPTCHA. You’ll find out how to automate these actions with Python packages such as mechanize. You’ll also learn how to create class-based scrapers with Scrapy libraries and implement your learning on real websites. By the end of the book, you will have explored testing websites with scrapers, remote scraping, best practices, working with images, and many other relevant topics.
Author/Authors: Jarmul, Katharine | Lawson, Richard
Pages: 220 | Published Date: 42885
Category: Data
Untangle your web scraping complexities and access web data with ease using Python scripts :
This book is ideal for Python programmers, web administrators, security professionals or someone who wants to perform web analytics would find this book relevant and useful. Familiarity with Python and basic understanding of web scraping would be useful to take full advantage of this book.
Author/Authors: Heydt, Michael
Pages: 364 | Published Date: 43140
Category: Data
Expert machine learning systems and intelligent agents using Python :
<p><b>Demystify the complexity of machine learning techniques and create evolving, clever solutions to solve your problems</b></p> <h4>Key Features</h4> <ul><li>Master supervised, unsupervised, and semi-supervised ML algorithms and their implementation </li> <li>Build deep learning models for object detection, image classification, similarity learning, and more </li> <li>Build, deploy, and scale end-to-end deep neural network models in a production environment </li> </ul> <h4>Book Description</h4> <p>This Learning Path is your complete guide to quickly getting to grips with popular machine learning algorithms. You'll be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this Learning Path will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries. </p> <p>You'll bring the use of TensorFlow and Keras to build deep learning models, using concepts such as transfer learning, generative adversarial networks, and deep reinforcement learning. Next, you'll learn the advanced features of TensorFlow1.x, such as distributed TensorFlow with TF clusters, deploy production models with TensorFlow Serving. You'll implement different techniques related to object classification, object detection, image segmentation, and more. </p> <p>By the end of this Learning Path, you'll have obtained in-depth knowledge of TensorFlow, making you the go-to person for solving artificial intelligence problems</p> <p>This Learning Path includes content from the following Packt products:</p> <ul> <li>Mastering Machine Learning Algorithms by Giuseppe Bonaccorso</li> <li>Mastering TensorFlow 1.x by Armando Fandango</li> <li>Deep Learning for Computer Vision by Rajalingappaa Shanmugamani</li> </ul> <h4>What you will learn</h4> <ul><li>Explore how an ML model can be trained, optimized, and evaluated </li> <li>Work with Autoencoders and Generative Adversarial Networks </li> <li>Explore the most important Reinforcement Learning techniques </li> <li>Build end-to-end deep learning (CNN, RNN, and Autoencoders) models</li></ul> <h4>Who this book is for</h4> <p>This Learning Path is for data scientists, machine learning engineers, artificial intelligence engineers who want to delve into complex machine learning algorithms, calibrate models, and improve the predictions of the trained model. </p> <p>You will encounter the advanced intricacies and complex use cases of deep learning and AI. A basic knowledge of programming in Python and some understanding of machine learning concepts are required to get the best out of this Learning Path. </p>
Author/Authors: Bonaccorso, Giuseppe| Fandango, Armando | Shanmugamani,
Pages: 764 | Published Date: 43455
Category: Data
Over 80 recipes on data analytics to solve business intelligence challenges, 2nd Edition :
An expert Qlik Sense user can use its features for business intelligence in an enterprise environment effectively. This book is for people who are looking to create fully featured desktop applications to gain additional business insights in the workplace. It also includes features added recently to Qlik Sense such as Aggr and Data stories.
Author/Authors: Labbe, Pablo | Hand, Philip | Kharpate, Neeraj
Pages: 334 | Published Date: 43342
Category: Data
Over 80 step-by-step recipes to tackle the everyday challenges faced by Qlik Sense® developers :
The book is for anybody who has been exposed to Qlik Sense® and want to start using it actively for business intelligence. Anybody with prior knowledge of its sister product, QlikView, will also benefit from this book. Familiarity with the basics of business intelligence is a prerequisite.
Author/Authors: Hand, Philip | Kharpate, Neeraj
Pages: 290 | Published Date: 42335
Category: Data
This book is smartly built around a practical case study – HighCloud Airlines – to help you gain an in-depth understanding of how to build applications for Business Intelligence using QlikView. A superb hands-on guide. :
It will be a step-by-step tutorial that will discuss best practices. The book is structured in such a way that it can be read both from start to end or can be dipped into. If you are a developer who is looking to learn a fast and easy way to learn to develop your business intelligence apps with QlikView, then this book is for you. If you are a power-user in a QlikView environment, then you will find quicker ways of working with QlikView. You should know the basics of business intelligence before you pick up this book. This book covers QlikView Desktop Personal Edition. Deployments to QlikView Server/Publisher are out of scope for this book.
Author/Authors: Harmsen, Barry | Garcia, Miguel
Pages: 534 | Published Date: 41236
Category: Data
Aprenda a desarrollar aplicaciones de inteligencia de negocios con QlikView :
Los ejercicios de este libro tienen un enfoque de tutorial paso a paso y en los que al mismo tiempo se van presentando mejores prácticas de desarrollo. El libro está estructurado de forma que puede ser leÃÂdo de inicio a fin o leer solamente partes del mismo.Este libro va dirigido a desarrolladores y usuarios que quieren aprender a crear aplicaciones de Inteligencia de Negocios con QlikView. Desarrolladores que ya hayan usado QlikView por un tiempo podrán encontrar recomendaciones útiles y mejores prácticas para hacer uso más efectivo de QlikView. Este libro solamente cubre QlikView Desktop. Implementaciones en QlikView Server y Publisher estñan fuera del alcance de este libro. Este libro no va enfocado a administradores de servidores QlikView.
Author/Authors: GarcÃÂÂa, Miguel | Harmsen, Barry
Pages: 566 | Published Date: 41621
Category: Data
Want to solve your Business Intelligence headaches? Learn how QlikView can help, and discover a powerful yet accessible BI solution that lets you harness your data :
If you recognize the challenges of harnessing data for a modern business, this book is for you. Maybe you already know a little about QlikView – if you want to learn more, QlikView Essentials is a great way to develop your knowledge and skills.
Author/Authors: Sinha, Chandraish
Pages: 166 | Published Date: 42391
Category: Data
Drive value and insight by developing business critical applications with QlikView 12 :
This book is for anyone interested in working with QlikView or who has attended QlikView Developer training. The book caters for all QlikView developers, beginners and experts alike, and anyone who wants to improve their QlikView skills.
Author/Authors: GarcÃÂa, Miguel ÃÂngel | Harmsen, Barry
Pages: 546 | Published Date: 42916
Category: Data
Discover the strategies needed to tackle the most challenging tasks facing the QlikView developer :
The recipes in this Cookbook provide a concise yet practical guide on how to become an excellent QlikView developer. The book begins with intermediate level recipes and then moves on to more complex recipes in an incremental manner.This book is for anyone who has either attended QlikView Developer training or has taught themselves QlikView from books or online sources. You might be working for a QlikView customer, partner, or even QlikView themselves (or want to!) and want to improve your QlikView skills.
Author/Authors: Redmond, Stephen
Pages: 290 | Published Date: 41449
Category: Data
Concoct dynamic business intelligence dashboards for financial analysis with QlikView :
If you are a finance professional with a basic knowledge of QlikView functions, and wish to increase your knowledge of QlikView to apply it in the field of finance, then this book is for you. A good knowledge of financial aspects is a must-have.
Author/Authors: Blackwood, B. Diane
Pages: 174 | Published Date: 42276
Category: Data
Your comprehensive guide to scripting powerful QlikView applications :
This mini book offers information about QlikView scripting written in an easy-to-understand manner, and covers QlikView scripting from basic to advanced features in a compact format.If you are a basic orintermediate developer with some knowledge of QlikView applications and a basic understanding of QlikView scripting and data extraction and manipulation, this book will be great for you. If you are an advanced user, you can also use this book as a reference guide and teaching aid. If you are a QlikView project team member such as a business user, data/ETL professional, project manager, orsystems analyst, you can also benefit from gaining an understanding of the structure and the challenges of writing an efficient and useful QlikView application.
Author/Authors: Floyd, Matt
Pages: 138 | Published Date: 41603
Category: Data
Deploy and manage QlikView Server and QlikView Publisher on platforms ranging from a single server to a multiserver clustered environment :
This is a comprehensive guide with a stepbystep approach that enables you to host and manage servers using QlikView Server and QlikView Publisher. If you are a server administrator wanting to learn about how to deploy QlikView Server for server management,analysis and testing, and QlikView Publisher for publishing of business content then this is the perfect book for you. No prior experience with QlikView is expected.
Author/Authors: Redmond, Stephen
Pages: 176 | Published Date: 41659
Category: Data
Unlock more than 50 amazing tips and tricks to enhance your QlikView skills :
QlikView Unlocked is intended for anyone with at least some experience in designing, developing, or supporting QlikView applications.
Author/Authors: Stone, Roger | Dove, Andrew
Pages: 196 | Published Date: 42318
Category: Data