ISBN
9781789534245
Get to grips with the most popular Python packages that make data analysis possible :
Hands-On Data Analysis with NumPy and Pandas is for you if you are a Python developer and want to take your first steps into the world of data analysis. No previous experience of data analysis is required to enjoy this book.
Author/Authors: Miller, Curtis
Pages: 168 | Published Date: 43280
Category: Data
ISBN
9781787280229
This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale machine learning using Apache Spark. :
If you are a budding data scientist or a data analyst who wants to analyze and gain actionable insights from data using Python, this book is for you. Programmers with some experience in Python who want to enter the lucrative world of Data Science will also find this book to be very useful, but you don't need to be an expert Python coder or mathematician to get the most from this book.
Author/Authors: Kane, Frank
Pages: 420 | Published Date: 42947
Category: Data
ISBN
9781788834735
Develop, deploy, and streamline your data science projects with the most popular end-to-end platform, Anaconda :
Hands-On Data Science with Anaconda is for you if you are a developer who is looking for the best tools in the market to perform data science. It’s also ideal for data analysts and data science professionals who want to improve the efficiency of their data science applications by using the best libraries in multiple languages. Basic programming knowledge with R or Python and introductory knowledge of linear algebra is expected.
Author/Authors: Yan, Dr. Yuxing | Yan, James
Pages: 364 | Published Date: 43251
Category: Data
ISBN
9781788996433
Perform end-to-end data analysis to gain efficient data insight :
"<p><b>Find, explore, and extract big data to transform into actionable insights_x000D_ _x000D_ </b></p>_x000D_ <h4>Key Features</h4>_x000D_ <ul><li>Perform end-to-end data analysisâ€â€from exploration to visualization_x000D_ </li>_x000D_ <li>Real-world examples, tasks, and interview queries to be a proficient data scientist_x000D_ </li>_x000D_ <li>Understand how SQL is used for big data processing using HiveQL and SparkSQL_x000D_ </li>_x000D_ _x000D_ </ul>_x000D_ <h4>Book Description</h4>_x000D_ <p>SQL Server is a relational database management system that enables you to cover end-to-end data science processes using various inbuilt services and features. _x000D_ </p>_x000D_ _x000D_ <p>Hands-On Data Science with SQL Server 2017 starts with an overview of data science with SQL to understand the core tasks in data science. You will learn intermediate-to-advanced level concepts to perform analytical tasks on data using SQL Server. The book has a unique approach, covering best practices, tasks, and challenges to test your abilities at the end of each chapter. You will explore the ins and outs of performing various key tasks such as data collection, cleaning, manipulation, aggregations, and filtering techniques. As you make your way through the chapters, you will turn raw data into actionable insights by wrangling and extracting data from databases using T-SQL. You will get to grips with preparing and presenting data in a meaningful way, using Power BI to reveal hidden patterns. In the concluding chapters, you will work with SQL Server integration services to transform data into a useful format and delve into advanced examples covering machine learning concepts such as predictive analytics using real-world examples._x000D_ </p>_x000D_ _x000D_ <p>By the end of this book, you will be in a position to handle the growing amounts of data and perform everyday activities that a data science professional performs.</p>_x000D_ <h4>What you will learn</h4>_x000D_ <ul><li>Understand what data science is and how SQL Server is used for big data processing_x000D_ </li>_x000D_ <li>Analyze incoming data with SQL queries and visualizations_x000D_ </li>_x000D_ <li>Create, train, and evaluate predictive models_x000D_ </li>_x000D_ <li>Make predictions using trained models and establish regular retraining courses_x000D_ </li>_x000D_ <li>Incorporate data source querying into SQL Server_x000D_ </li>_x000D_ <li>Enhance built-in T-SQL capabilities using SQLCLR_x000D_ </li>_x000D_ <li>Visualize data with Reporting Services, Power View, and Power BI_x000D_ </li>_x000D_ <li>Transform data with R, Python, and Azure_x000D_ </li>_x000D_ </ul>_x000D_ <h4>Who this book is for</h4>_x000D_ <p>Hands-On Data Science with SQL Server 2017 is intended for data scientists, data analysts, and big data professionals who want to master their skills learning SQL and its applications. This book will be helpful even for beginners who want to build their career as data science professionals using the power of SQL Server 2017. Basic familiarity with SQL language will aid with understanding the concepts covered in this book.</p>"
Author/Authors: Chmel, Marek| Mužný, VladimÃÂr
Pages: 506 | Published Date: 43433
Category: Data
ISBN
9781789131314
Learn how to create interactive and visually aesthetic plots using the Bokeh package in Python :
This book is well suited for data scientists and data analysts who want to perform interactive data visualization on their web browsers using Bokeh. Some exposure to Python programming will be helpful, but prior experience with Bokeh is not required.
Author/Authors: Jolly, Kevin
Pages: 174 | Published Date: 43266
Category: Data
ISBN
9781789130096
Leverage the power of Microsoft Azure Data Factory v2 to build hybrid data solutions :
This book is for you if you are a software professional who develops and implements ETL solutions using Microsoft SQL Server or Azure cloud. It will be an added advantage if you are a software engineer, DW/ETL architect, or ETL developer, and know how to create a new ETL implementation or enhance an existing one with ADF or SSIS.
Author/Authors: Coté, Christian | Gutzait, Michelle | Ciaburro, Giuseppe
Pages: 284 | Published Date: 43251
Category: Data
ISBN
9781789532517
Build intelligent computer vision applications using TensorFlow and Keras :
In this book, you will come across various real-world projects which will teach you how to leverage Tensforflow’s capabilities to perform efficient image processing tasks. By the end of this book, you will have mastered all the concepts of deep learning for Images and their implementations with Tensorflow and Keras
Author/Authors: Ballard, Will
Pages: 96 | Published Date: 43312
Category: Data
