vjigg · 30-Май-23 14:56(1 год 7 месяцев назад, ред. 03-Июн-23 12:31)
Haskell Programming ● Data Analysis with Haskell ◄ 7 Courses Год выпуска: 2017 Производитель: Packt Сайт производителя://www.packtpub.com Автор: James Church / Richard Cook / Hakim Cassimally / Samuel Gélineau Продолжительность: 25h 29m Тип раздаваемого материала: Видеоурок Язык: Английский Описание:
This video will take you through the complete journey from writing your first Haskell program to getting familiarized with Haskell and all its functionalities. This tutorial will take a pragmatic approach to teaching you Haskell with an App example. One of the trademarks of this video is developing and building a Haskell app using a modern tool chain. Giving you a practical experience of functional programming with Haskell it will teach you to build your first functional application effortlessly.Data analysis is part computer science and part statistics. An important part of data analysis is validating your assumptions with real-world data to see if there is a pattern, or a particular user behavior that you can validate. This video course will help you get up to speed with the basics of data analysis and approaches in the Haskell language. You'll learn about statistical computing, file formats (CSV and SQLite3), descriptive statistics, charts, and onto more advanced concepts like understanding the importance of normal distribution. Whilst mathematics is a big part of data analysis, we’ve tried to keep this course simple and approachable so that you can apply what you learn to the real world. Related topics:
[Pluralsight] Data Analytics Literacy | Path [2021, ENG] [Pluralsight] Scala Language Fundamentals | Path [2021, ENG] [Pluralsight] Elm Fundamentals [2022, ENG]
Содержание
Learning Haskell Programming (Hakim Cassimally, 2016)1. Installation and Setup
2. Getting Started with Haskell
3. Developing a Word Game
4. Polishing the Word GameMastering Haskell Programming (Samuel Gelineau, 2017)1. Tracking Side-Effects Using IO
2. Chaining Side-Effects Using Streaming
3. Interactive Applications Using Functional Reactive Programming
4. Parallel Programming in Haskell
5. Concurrent Programming in Haskell
6. Distributed Programming in HaskellFundamentals of Practical Haskell Programming (Richard Cook, 2017)1. Installation and Setup
2. The FP and Haskell Buzz
3. Exploring Haskell
4. Haskell in DepthWriting Haskell Programs (Richard Cook, 2017)1. Edit, Build, Execute, and Test Cycles
2. Modules Explained
3. Packages and the Haskell EcosystemBuilding an Application with Functional Haskell (Richard Cook, 2017)1. Simple but Useful
2. The Command Line
3. Storing Data on the File System
4. Interacting with Our Data
5. ConclusionsGetting Started with Haskell Data Analysis (James Church, 2016)1. Descriptive Statistics
2. SQLite3
3. Regular Expressions
4. Visualizations
5. Kernel Density Estimation
6. Course ReviewAdvanced Data Analysis with Haskell (James Church, 2016)1. Brushing up on the Basics
2. Regression Analysis
3. Multiple Regression
4. Text Analysis
5. Clustering
6. Naive Bayes Classification
7. Principal Component Analysis
