Key Features
Think deeply as a developer about your strategy and toolset in data science
Discover the best tools that will suit you as a developer in your data analysis
Deep dive into multiple industry data science use cases
Book Description
Thoughtful Data Science brings new strategies and a carefully crafted programmer's toolset to work with modern, cutting-edge data analysis. This new approach is designed specifically to give developers more efficiency and power to create cutting-edge data analysis and artificial intelligence insights.
David Taieb introduces four projects designed to connect developers to important industry use cases in data science. The first is an image recognition application with TensorFlow, to meet the growing importance of AI in data analysis. The second analyses social media trends to explore big data issues and natural language processing. The third is a financial portfolio analysis application using time series analysis, pivotal in many data science applications today. The fourth involves applying graph algorithms to solve data problems. Taieb wraps up with a deep look into the future of data science for developers and his views on AI for data science.
What you will learn
Bridge the gap between developer and data scientist with a Python-based toolset
Work with and assess the impact of artificial intelligence in data science
Work with TensorFlow, graphs, natural language processing, and time series
Deep dive into multiple industry data science use cases
Look into the future of data analysis and where to develop your skills
Who this book is for
This book is for established developers who want to bridge the gap between programmers and data scientists. With the introduction of PixieDust from its creator, the book will also be a great desk companion for the already accomplished Data Scientist. Some fluency in data interpretation and visualization is also assumed since this book addresses data professionals such as business and general data analysts. It will be helpful to have some knowledge of Python, using Python libraries, and some proficiency in web development.
Table of Contents
Perspectives on Data Science from a Developer
PixieApp under the Hood
Deploying PixieApps to the Web with the PixieGateway Server
Best Practices and Advanced PixieDust Concepts
Image Recognition with TensorFlow
Big Data Twitter Sentiment Analysis
Financial Time Series Analysis and Forecasting
US Domestic Flight Data Analysis Using Graphs
Final Thoughts
Також купити книгу Thoughtful Data Science: Working with data by creating visually intuitive insights with Jupyter and Pixiedust, David Taieb Ви можете по посиланню