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Every person and every organization in the world manages data, whether they realize it or not. Data is used to describe the world around us and can be used for almost any purpose, from analyzing consumer habits to fighting disease and serious organized crime. Ultimately, we manage data in order to derive value from it, and many organizations around the world have traditionally invested in technology to help process their data faster and more efficiently....
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Pentaho PDI is a modern, powerful, and easy-to-use ETL system that lets you develop ETL processes with simplicity. Explore and gain the experience and skills that you need to run processes from the command line or schedule them by using an extensive description and a good set of samples. Instant Pentaho Data Integration Kitchen How-to will help you to understand the correct way to deal with PDI command line tools. We start with a recipe about how...
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MongoDB has grown to become the de facto NoSQL database with millions of users, from small start-ups to Fortune 500 companies. It can solve problems that are considered difficult, if not impossible, for aging RDBMS technologies. Written for version 4 of MongoDB, this book is the easiest way to get started with MongoDB. You will start by getting a MongoDB installation up and running in a safe and secure manner. You will learn how to perform mission-critical...
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Collect and scrape different complexities of data from the modern Web using the latest tools, best practices, and techniques
Key Features
Learn various scraping techniques using a range of Python libraries such as Scrapy and Beautiful Soup
Build scrapers and crawlers to extract relevant information from the web
Automate web scraping operations to bridge the accuracy gap and ease complex business needs
Book Description
Web scraping is an essential...
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Use the power of pandas to solve most complex scientific computing problems with ease. Revised for pandas 1.x.
The pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands as one would do during an actual analysis. This book guides you, as if you were looking...
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Data is more than a mere commodity in our digital world. It is the ebb and flow of our modern existence. Individuals, teams, and enterprises working with data can unlock a new realm of possibilities. And the resultant agility, growth, and inevitable success have one origin-data literacy. This comprehensive guide is written by two data literacy pioneers, each with a thorough footprint within the data and analytics commercial world and lectures at top...
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Get efficient in performing data mining and machine learning using IBM SPSS Modeler
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Book Description
Machine learning (ML) combined with data mining can give you amazing results in your data mining work by empowering you with several ways to look at data. This book will help you improve your data mining techniques by using smart modeling techniques.
This book will teach you how to implement ML algorithms and techniques in your data mining...
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SQL Server 2012 includes BI-specific features such as cube analytics, reporting-related features, multidimensional BI semantic models, and many more. This is a new addition that is of great use to Business Analysts, who can now build BI semantic models using the relational tables from the database engine rather than the dimensions from analysis services. Instant Microsoft SQL Server Analysis Services 2012 Cube Security is a practical, hands-on guide...
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Build, scale, and deploy deep neural network models using the star libraries in Python
TensorFlow is the most popular numerical computation library built from the ground up for distributed, cloud, and mobile environments. TensorFlow represents the data as tensors and the computation as graphs.
This book is a comprehensive guide that lets you explore the advanced features of TensorFlow 1.x. Gain insight into TensorFlow Core, Keras, TF Estimators, TFLearn,...
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Microsoft PowerPivot is a free software designed to enhance Microsoft Excel. It allows the user to make extensive use of his/her computer's powers to draw data from various sources, do analysis across millions of rows of data, and present results in a very unique format. Instant Creating Data Models with PowerPivot How-to is a concise and to-the-point guide that helps you get a jump start on using this strong business intelligence tool, while still...
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Python is one of the most common and popular languages preferred by leading data analysts and statisticians for working with massive datasets and complex data visualizations. Become a Python Data Analyst introduces Python's most essential tools and libraries necessary to work with the data analysis process, right from preparing data to performing simple statistical analyses and creating meaningful data visualizations. In this book, we will cover Python...
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Manipulate and analyze network data with the power of Python and NetworkX
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Understand the terminology and basic concepts of network science
Leverage the power of Python and NetworkX to represent data as a network
Apply common techniques for working with network data of varying sizes.
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Put your Haskell skills to work and generate publication-ready visualizations in no time at all
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Book Description
Every business and organization that collects data is capable of tapping into its own data to gain insights how to improve. Haskell is a purely functional and lazy programming language, well-suited to handling large data analysis problems. This book will take you through the more difficult problems of data analysis in a hands-on...
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Discover the power of location data to build effective, intelligent data models with Geospatial ecosystems
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Book Description
Data scientists, who have access to vast data streams, are a bit myopic when it comes to intrinsic and extrinsic location-based data and are missing out on the intelligence it can provide to their models. This book demonstrates effective techniques for using the power of data science and geospatial intelligence to...
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Web scraping is a technique to extract data from websites. It simulates the behavior of a website user to turn the website itself into a web service to retrieve or introduce new data. This book gives you all you need to get started with scraping web pages using R programming. You will learn about the rules of RegEx and Xpath, key components for scraping website data. We will show you web scraping techniques, methodologies, and frameworks. With this...
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Get to grips with the fundamentals of data mining and predictive analytics with IBM SPSS Modeler
This book is ideal for those who are new to SPSS Modeler and want to start using it as quickly as possible, without going into too much detail. An understanding of basic data mining concepts will be helpful, to get the best out of the book.
IBM SPSS Modeler allows users to quickly and efficiently use predictive analytics and gain insights from your data....
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Facebook's fastText library handles text representation and classification, used for Natural Language Processing (NLP). Most organizations have to deal with enormous amounts of text data on a daily basis, and gaining efficient data insights requires powerful NLP tools such as fastText. This book is your ideal introduction to fastText. You will learn how to create fastText models from the command line, without the need for complicated code. You will...
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Make sense of highly unstructured social media data with the help of the insightful use cases provided in this guide
Use this easy-to-follow, step-by-step guide to apply analytics to complicated and messy social data
This is your one-stop solution to fetching, storing, analyzing, and visualizing social media data
Book Description
Your social media is filled with a wealth of hidden data — unlock it with the power of Python. Transform...
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Learn how to solve real life problems using different methods like logic regression, random forests and SVM's with TensorFlow.
Key Features
Understand predictive analytics along with its challenges and best practices
Embedded with assessments that will help you revise the concepts you have learned in this book
Book Description
Predictive analytics discovers hidden patterns from structured and unstructured data for automated decision making in business...
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This book is your guide to exploring the possibilities in the field of deep learning, making use of Google's TensorFlow. You will learn about convolutional neural networks, and logistic regression while training models for deep learning to gain key insights into your data.
If you are a data scientist who performs machine learning on a regular basis, are familiar with deep neural networks, and now want to gain expertise in working with convoluted neural...
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