0
Your cart

Your cart is empty

Browse All Departments
  • All Departments
Price
  • R500 - R1,000 (2)
  • -
Status
Brand

Showing 1 - 2 of 2 matches in All Departments

Thoughtful Machine Learning (Paperback): Matthew Kirk Thoughtful Machine Learning (Paperback)
Matthew Kirk
R1,045 R792 Discovery Miles 7 920 Save R253 (24%) Ships in 12 - 19 working days

Learn how to apply test-driven development (TDD) to machine-learning algorithms - and catch mistakes that could sink your analysis. In this practical guide, author Matthew Kirk takes you through the principles of TDD and machine learning, and shows you how to apply TDD to several machine-learning algorithms, including Naive Bayesian classifiers and Neural Networks. Machine-learning algorithms often have tests baked in, but they can't account for human errors in coding. Rather than blindly rely on machine-learning results as many researchers have, you can mitigate the risk of errors with TDD and write clean, stable machine-learning code. If you're familiar with Ruby 2.1, you're ready to start. Apply TDD to write and run tests before you start coding Learn the best uses and tradeoffs of eight machine learning algorithms Use real-world examples to test each algorithm through engaging, hands-on exercises Understand the similarities between TDD and the scientific method for validating solutions Be aware of the risks of machine learning, such as underfitting and overfitting data Explore techniques for improving your machine-learning models or data extraction

Thoughtful Machine Learning with Python (Paperback): Matthew Kirk Thoughtful Machine Learning with Python (Paperback)
Matthew Kirk
R1,043 R790 Discovery Miles 7 900 Save R253 (24%) Ships in 12 - 19 working days

Gain the confidence you need to apply machine learning in your daily work. With this practical guide, author Matthew Kirk shows you how to integrate and test machine learning algorithms in your code, without the academic subtext. Featuring graphs and highlighted code examples throughout, the book features tests with Python's Numpy, Pandas, Scikit-Learn, and SciPy data science libraries. If you're a software engineer or business analyst interested in data science, this book will help you: Reference real-world examples to test each algorithm through engaging, hands-on exercises Apply test-driven development (TDD) to write and run tests before you start coding Explore techniques for improving your machine-learning models with data extraction and feature development Watch out for the risks of machine learning, such as underfitting or overfitting data Work with K-Nearest Neighbors, neural networks, clustering, and other algorithms

Free Delivery
Pinterest Twitter Facebook Google+
You may like...
Sandi And The Salty Sea Dogs
Monique Fallows Paperback R220 R206 Discovery Miles 2 060
The Body as a Vessel
Kayo Mikami Hardcover R1,165 Discovery Miles 11 650
Zoe's Rescue Zoo: The Cuddly Koala
Amelia Cobb Paperback  (1)
R210 R178 Discovery Miles 1 780
The Routledge Handbook of Asian Security…
Sumit Ganguly, Andrew Scobell, … Paperback R1,610 Discovery Miles 16 100
The Martha Graham Dance Company - House…
Blakeley White-McGuire Paperback R708 Discovery Miles 7 080
Faith Flies
Allison F Speer Hardcover R529 Discovery Miles 5 290
Vegan Dessert Bakery - More than 50…
Daniel Smith Hardcover R829 R719 Discovery Miles 7 190
Playing with Something That Runs…
Mark J. Butler Hardcover R4,158 Discovery Miles 41 580
Abidjan USA - Music, Dance, and Mobility…
Daniel B. Reed Paperback R886 R839 Discovery Miles 8 390
Dance Ethnography and Global…
L. Dankworth, A David Hardcover R3,519 Discovery Miles 35 190

 

Partners