Category: Data Science Tutorial

Numerical Python

Numerical Python

Numerical Python Scientific Computing and Data Science Applications with Numpy, SciPy, and Matplotlib Scientific and numerical computing is a booming field in research, engineering, and analytics. The revolution in the computer industry over the last several decades has provided new and powerful tools for computational practitioners. This has enabled computational undertakings of previously unprecedented scale…

Data Analytics

Data Analytics

Data Analytics Practical Guide to Leveraging the Power of Algorithms, Data Science, Data Mining, Statistics, Big Data, and Predictive Analysis to Improve Business, Work, and Life   How do you define the success of a company? It could be by the number of employees or level of employee satisfaction. Perhaps the size of the customer…

Data Science with R

Data Science with R

Data Science with R A Step By Step Guide With Visual Illustrations and Examples INTRODUCTION TO DATA MINING The evolution of technology helped internet expand lightning fast. Over time, internet access became accessible to more and more people. This led to the development of million websites and the use of databases for storing these data….

Deep Learning with Azure

Deep Learning with Azure

Deep Learning with Azure Building and Deploying Artificial Intelligence Solutions on the Microsoft AI Platform This book spans topics such as general techniques and frameworks for deep learning, starter guides for several approaches in deep learning, and tools, services, and infrastructure for developing and deploying AI solutions using the Microsoft AI platform. This book is…

Docker for Data Science

Docker for Data Science

Docker for Data Science: Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server The typical data scientist consistently has a series of extremely complicated problems on their mind beyond considerations stemming from their system infrastructure. Still, it is inevitable that infrastructure issues will present themselves. To oversimplify, we might draw a distinction between…

Introducing Data Science Big Data

Introducing Data Science Big Data

Introducing Data Science Big Data, Machine Learning, and more, using Python tools   Welcome to the book! When reading the table of contents, you probably noticed the diversity of the topics we’re about to cover. The goal of Introducing Data Science is to provide you with a little bit of everything—enough to get you started….

Python Data Science Handbook

Python Data Science Handbook

Python Data Science Handbook. Essential Tools for Working with Data For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python data science Handbook do you get them all…

R for data science

R for data science

R for Data Science Import, Tidy, Transform, Visualize, and Model Data by Hadley Wickham, Garrett Grolemund Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R studio and the tidy verse, A collection of packages designed to work together make data science fast, and fun….

The Art of Data Science

The Art of Data Science

The Art of Data Science A Guide for Anyone Who Works with Data Data analysis is hard, and part of the problem is that few people can explain how to do it. It’s not that there aren’t any people doing data analysis on a regular basis. It’s that the people who are really good at…

Understanding Azure Data Factory

Understanding Azure Data Factory

What Is Azure Data Factory? Big Data requires a service that can help you orchestrate and operationalize complex processes that in turn refine the enormous structure/semi-structured data into actionable business insights. Azure Data Factory (ADF) is a cloud-based data integration service that acts as the glue in your Big Data or advanced analytics solution, ensuring…

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