Buy used:
$62.72
FREE delivery Monday, May 13. Details
Or fastest delivery Saturday, May 11. Order within 12 hrs 43 mins. Details
Used: Good | Details
Sold by CanukBestBooks
Fulfilled by Amazon
Condition: Used: Good

Fulfilment by Amazon (FBA) is a service we offer sellers that lets them store their products in Amazon's fulfilment centres, and we directly pack, ship, and provide customer service for these products. Something we hope you'll especially enjoy: FBA products qualify for FREE Shipping

If you're a seller, Fulfilment by Amazon can help you grow your business. Learn more about the program.
Kindle app logo image

Download the free Kindle app and start reading Kindle books instantly on your smartphone, tablet or computer – no Kindle device required.

Read instantly on your browser with Kindle for Web.

Using your mobile phone camera, scan the code below and download the Kindle app.

QR code to download the Kindle app

Follow the author

John Hull
+ Follow
More books from this author
Something went wrong. Please try your request again later.

Machine Learning in Business: An Introduction to the World of Data Science Paperback – July 11 2019

by John C. Hull (Author)
4.5 4.5 out of 5 stars 33 ratings
See all formats and editions
This book is for business executives and students who want to learn about the tools used in machine learning. It explains the most popular algorithms clearly and succinctly without using calculus or matrix/vector algebra. The focus is on business applications. There are many illustrative examples. These include assessing the risk of a country for international investment, predicting the value of real estate, and classifying retail loans as acceptable or unacceptable. Data, worksheets, and Python code for the examples is on the author's website. A complete set of PowerPoint slides that can be used by instructors is also on the website. The opening chapter reviews different types of machine learning models. It explains the role of the training data set, the validation data set, and the test data set. It also explains the issues involved in cleaning data and reviews Bayes theorem. Chapter 2 is devoted to unsupervised learning. It explains the k-means algorithm and alternative approaches to clustering. It also covers principal components analysis. Chapter 3 explains linear and logistic regression. It covers regularization using ridge, lasso, and elastic net. Chapter 4 covers decision trees. it includes a discussion of the naive Bayes classifier, random forests, and other ensemble methods. Chapter 5, explains how the SVM approach can be used for both both linear and non-linear classification as well as for the prediction of a continuous variable. Chapter 6 is devoted to neural networks. It includes a discussion of the gradient descent algorithm, backpropagation, stopping rules, applications to derivatives, convolutional neural networks, and recurrent neural networks. Chapter 7 explains reinforcement learning using two games as examples. It covers Q-learning and deep Q-learning, and discusses applications. The final chapter focuses on issues for society. The topics covered include data privacy, biases, ethical considerations, the interpretability of algorithms, legal issues, and adversarial machine learning. At the ends of chapters there are short concept questions to test the readers understanding of the material and longer exercises. Answers are at the end of the book. The book includes a glossary of terms and index.
Read more Read less
Previous page
  1. ISBN-10
    1079988254
  2. ISBN-13
    978-1079988253
  3. Publication date
    July 11 2019
  4. Language
    English
  5. Dimensions
    15.24 x 1.22 x 22.86 cm
  6. Print length
    209 pages
  7. See all details
Next page

Product details

  • Publisher ‏ : ‎ Independently published (July 11 2019)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 209 pages
  • ISBN-10 ‏ : ‎ 1079988254
  • ISBN-13 ‏ : ‎ 978-1079988253
  • Item weight ‏ : ‎ 299 g
  • Dimensions ‏ : ‎ 15.24 x 1.22 x 22.86 cm
  • Customer Reviews:
    4.5 4.5 out of 5 stars 33 ratings

About the author

Follow authors to get new release updates, plus improved recommendations.
John Hull

John Hull

Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

Discover more of the author’s books, see similar authors, read author blogs and more

Customer reviews

4.5 out of 5 stars
4.5 out of 5
33 global ratings

Top review from Canada

Anna
2.0 out of 5 stars cheap hardcopy bad quality and ripped coverpage!
Reviewed in Canada on April 12, 2020
Verified Purchase
I got the book with the cover half ripped... so disappointed on the hardcopy quality! Also the paper of this copy feels cheap, which may be the reason that book isn't heavy at all.
Helpful
 Report