Python Data Cleaning Cookbook: Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI Michael Walker
Lyt når som helst, hvor som helst
Nyd den ubegrænsede adgang til tusindvis af spændende e- og lydbøger - helt gratis
- Lyt og læs så meget du har lyst til
- Opdag et kæmpe bibliotek fyldt med fortællinger
- Eksklusive titler + Mofibo Originals
- Opsig når som helst
Data Science with SQL Server Quick Start Guide: Integrate SQL Server with data science
- Af
- Forlag
- Sprog
- Engelsk
- Format
- Kategori
Fakta
SQL Server only started to fully support data science with its two most recent editions. If you are a professional from both worlds, SQL Server and data science, and interested in using SQL Server and Machine Learning (ML) Services for your projects, then this is the ideal book for you.
This book is the ideal introduction to data science with Microsoft SQL Server and In-Database ML Services. It covers all stages of a data science project, from businessand data understanding,through data overview, data preparation, modeling and using algorithms, model evaluation, and deployment.
You will learn to use the engines and languages that come with SQL Server, including ML Services with R and Python languages and Transact-SQL. You will also learn how to choose which algorithm to use for which task, and learn the working of each algorithm.
© 2018 Packt Publishing (E-bog): 9781789537130
Release date
E-bog: 31. august 2018
Data Science with SQL Server Quick Start Guide: Integrate SQL Server with data science
- Af
- Forlag
- Sprog
- Engelsk
- Format
- Kategori
Fakta
SQL Server only started to fully support data science with its two most recent editions. If you are a professional from both worlds, SQL Server and data science, and interested in using SQL Server and Machine Learning (ML) Services for your projects, then this is the ideal book for you.
This book is the ideal introduction to data science with Microsoft SQL Server and In-Database ML Services. It covers all stages of a data science project, from businessand data understanding,through data overview, data preparation, modeling and using algorithms, model evaluation, and deployment.
You will learn to use the engines and languages that come with SQL Server, including ML Services with R and Python languages and Transact-SQL. You will also learn how to choose which algorithm to use for which task, and learn the working of each algorithm.
© 2018 Packt Publishing (E-bog): 9781789537130
Release date
E-bog: 31. august 2018
Andre kan også lide...
- Data Science Algorithms in a Week.: Top 7 algorithms for scientific computing, data analysis, and machine learning David Natingga
- Mastering Spark for Data Science: Lightning fast and scalable data science solutions David George
- Scalable Data Analytics with Azure Data Explorer: Modern ways to query, analyze, and perform real-time data analysis on large volumes of data Jason Myerscough
- Data Visualization for Business Decisions: Transforming Data into Actionable Insights Mercury Learning and Information
- Time Series Analysis with Python Cookbook: Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation Tarek A. Atwan
- Data Literacy With Python: A Comprehensive Guide to Understanding and Analyzing Data with Python Mercury Learning and Information
- Ultimate Statistical Analysis System (SAS) for Data Analytics Vishesh Dhingra
- Become a Python Data Analyst: Perform exploratory data analysis and gain insight into scientific computing using Python Alvaro Fuentes
- Microsoft Power BI Performance Best Practices: Learn practical techniques for building high-speed Power BI solutions Thomas LeBlanc
Brugbare links
Sprog og region
Dansk
Danmark
