1. Data science algorithms in a week : top 7 algorithms for scientific computing, data analysis, and machine learning /: top 7 algorithms for scientific computing, data analysis, and machine learning. ([2018]) Authors: (Data scientist), Natingga, Dávid Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Hands-on data structures and algorithms with Rust : learn programming techniques to build effective, maintainable, and readable code in Rust 2018 /: learn programming techniques to build effective, maintainable, and readable code in Rust 2018. (2019) Authors: Matzinger, Claus Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Grunt Cookbook : Over 80 hands-on recipes for streamlining development, management, and deployment with Grunt /: Over 80 hands-on recipes for streamlining development, management, and deployment with Grunt. (2015) Authors: Botha, Jurie-Jan Record Type: Book Extent: 1 online resource (1 volume), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Getting started with Backbone Marionette. (2014) Authors: Armendariz, Raymundo Other Names: Soto, Arturo Record Type: Book Extent: 1 online resource (94 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Machine learning with Spark : create scalable machine learning applications to power a modern data-driven business using Spark /: create scalable machine learning applications to power a modern data-driven business using Spark. (2015) Authors: Pentreath, Nick Other Names: Paunikar, Akshay cover designer. Record Type: Book Extent: 1 online resource (338 pages), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Machine learning algorithms : reference guide for popular algorithms for data science and machine learning /: reference guide for popular algorithms for data science and machine learning. (2017) Authors: Bonaccorso, Giuseppe Record Type: Book Extent: 1 online resource (1 volume), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. 40 algorithms every programmer should know : get to grips with writing algorithms with the help of case studies and their implementation in Python /: get to grips with writing algorithms with the help of case studies and their implementation in Python. (2020) Authors: Ahmad, Imran Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Mastering Machine Learning Algorithms : Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work. /: Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work. (2020) Other Names: Bonaccorso, Giuseppe Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. Supervised Learning Workshop : a New, Interactive Approach to Understanding Supervised Learning Algorithms /: a New, Interactive Approach to Understanding Supervised Learning Algorithms. (2020) Authors: Bateman, Blaine; Jha, Ashish Ranjan; (Computer scientist), Johnston, Benjamin; Mathur, Ishita Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗
10. The unsupervised learning workshop : get started with unsupervised learning and simplify unorganized data to make predictions /: get started with unsupervised learning and simplify unorganized data to make predictions. (2020) Authors: Jones, Aaron; Kruger, Christopher; (Computer scientist), Johnston, Benjamin Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗