Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Supervised Machine Learning with Python
Supervised Machine Learning with Python

Supervised Machine Learning with Python: Develop rich Python coding practices while exploring supervised machine learning

Arrow left icon
Profile Icon Taylor Smith
Arrow right icon
S$36.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (2 Ratings)
Paperback May 2019 162 pages 1st Edition
eBook
S$12.99 S$29.99
Paperback
S$36.99
Subscription
Free Trial
Arrow left icon
Profile Icon Taylor Smith
Arrow right icon
S$36.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (2 Ratings)
Paperback May 2019 162 pages 1st Edition
eBook
S$12.99 S$29.99
Paperback
S$36.99
Subscription
Free Trial
eBook
S$12.99 S$29.99
Paperback
S$36.99
Subscription
Free Trial

What do you get with Print?

Product feature icon Instant access to your digital eBook copy whilst your Print order is Shipped
Product feature icon Paperback book shipped to your preferred address
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR
Modal Close icon
Payment Processing...
tick Completed

Shipping Address

Billing Address

Shipping Methods
Table of content icon View table of contents Preview book icon Preview Book

Supervised Machine Learning with Python

Implementing Parametric Models

In the previous chapter, we got started with the basics of supervised machine learning. In this chapter, we will dive into the guts of several popular supervised learning algorithms within the parametric modeling family. We'll start this chapter by formally introducing parametric models. Then, we'll introduce two very popular parametric models: linear and logistic regression. We'll spend some time looking at their inner workings and then we'll jump into Python and actually code those workings from scratch.

In this chapter, we will cover the following topics:

  • Parametric models
  • Implementing linear regression from scratch
  • Logistic regression models
  • Implementing logistic regression from scratch
  • The pros and cons of parametric models

Technical requirements

Parametric models

When it comes to supervised learning, there are two families of learning algorithms: parametric and non-parametric. This area also happens to be a hotbed for gatekeeping and opinion-based conjecture regarding which is better. Basically, parametric models are finite-dimensional, which means that they can learn only a defined number of model parameters. Their learning stage is typically categorized by learning some vector theta, which is also called a coefficient. Finally, the learning function is often a known form, which we will clarify later in this section.

Finite-dimensional models

If we go back to our definition of supervised learning, recall that we need to learn some function, f. A parametric...

Implementing linear regression from scratch

Linear regression solves the least squares equation to discover the parameters vector theta. In this section, we will walk through the source code for a linear regression class in the packtml Python library and then cover a brief graphical example in the examples directory.

Before we look at the code, we will be introduced to the interface that backs all of the estimators in the book. It is called BaseSimpleEstimator, which is an abstract class. It's going to enforce only one method, which is predict. Different subclass layers are going to enforce other methods for different model families. But this layer backs all the models that we will build, as everything that we are putting together is supervised, so it's all going to need to be able to predict. You will notice that the signature is prescribed in the dock string. Every...

Logistic regression models

In this section, we will look at logistic regression, which is the first hill-climbing algorithm that we'll cover, and we will have a brief recap of linear regression. We will also look at how logistic regression differs both mathematically and conceptually. Finally, we will learn the core algorithm and explain how it makes predictions.

The concept

Logistic regression is conceptually the inverse of linear regression. What if, rather than a real value, we want a discrete value or a class? We have already seen one example of this type of question early on when we wanted to predict whether or not an email was spam. So, with logistic regression, rather than predicting a real value, we can predict...

Implementing logistic regression from scratch

In this section, we will walk through the implementation of logistic regression in Python within the packtml package. We will start off with a brief recap of what logistic regression seeks to accomplish and then go over the source code and look at an example.

Recall that logistic regression seeks to classify a sample into a discrete category, also known as classification. The logistic transformation allows us to transform the log odds that we get from the inner product of our parameters and X.

Notice that we have three Python files open. One is extmath.py, from within the utils directory inside of packtml; another is simple_logistic.py, from within the regression library in packtml; and the final one is an example_logistic_regression.py file, inside the examples directory and regression.

We will dive right into the code base...

The pros and cons of parametric models

Parametric models have some really convenient attributes. Namely, they are fast to fit, don't require too much data, and can be very easily explained. In the case of linear and logistic regression, it's easy to look at coefficients and directly explain the impact of fluctuating one variable in either direction. In regulated industries, such as finance or insurance, parametric models tend to reign supreme, since they can be easily explained to regulators. Business partners tend to really rely on the insights that the coefficients produce. However, as is evident in what we've already seen so far, they tend to oversimplify. So, as an example, the logistic regression decision boundary that we looked at in the last section assumes a perfect linear boundary between two classes.

It is rare that the real world can be constrained into...

Technical requirements


For this chapter, you will need to install the following software, if you haven't already done so:

  • Jupyter Notebook
  • Anaconda
  • Python

 

 

The code files for this chapter can be found at https://github.com/PacktPublishing/Supervised-Machine-Learning-with-Python.

Left arrow icon Right arrow icon
Download code icon Download Code

Key benefits

  • Delve into supervised learning and grasp how a machine learns from data
  • Implement popular machine learning algorithms from scratch
  • Explore some of the most popular scientific and mathematical libraries in the Python language

Description

Supervised machine learning is used in a wide range of sectors, such as finance, online advertising, and analytics, to train systems to make pricing predictions, campaign adjustments, customer recommendations, and much more by learning from the data that is used to train it and making decisions on its own. This makes it crucial to know how a machine 'learns' under the hood. This book will guide you through the implementation and nuances of many popular supervised machine learning algorithms, and help you understand how they work. You’ll embark on this journey with a quick overview of supervised learning and see how it differs from unsupervised learning. You’ll then explore parametric models, such as linear and logistic regression, non-parametric methods, such as decision trees, and a variety of clustering techniques that facilitate decision-making and predictions. As you advance, you'll work hands-on with recommender systems, which are widely used by online companies to increase user interaction and enrich shopping potential. Finally, you’ll wrap up with a brief foray into neural networks and transfer learning. By the end of this book, you’ll be equipped with hands-on techniques and will have gained the practical know-how you need to quickly and effectively apply algorithms to solve new problems.

Who is this book for?

This book is for anyone who wants to get started with supervised learning. Intermediate knowledge of Python programming along with fundamental knowledge of supervised learning is expected.

What you will learn

  • Crack how a machine learns a concept and generalizes its understanding of new data
  • Uncover the fundamental differences between parametric and non-parametric models
  • Implement and grok several well-known supervised learning algorithms from scratch
  • Work with models in domains such as ecommerce and marketing
  • Get to grips with algorithms such as regression, decision trees, and clustering
  • Build your own models capable of making predictions
  • Delve into the most popular approaches in deep learning such as transfer learning and neural networks
Estimated delivery fee Deliver to Singapore

Standard delivery 10 - 13 business days

S$11.95

Premium delivery 5 - 8 business days

S$54.95
(Includes tracking information)

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : May 27, 2019
Length: 162 pages
Edition : 1st
Language : English
ISBN-13 : 9781838825669
Category :
Languages :

What do you get with Print?

Product feature icon Instant access to your digital eBook copy whilst your Print order is Shipped
Product feature icon Paperback book shipped to your preferred address
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR
Modal Close icon
Payment Processing...
tick Completed

Shipping Address

Billing Address

Shipping Methods
Estimated delivery fee Deliver to Singapore

Standard delivery 10 - 13 business days

S$11.95

Premium delivery 5 - 8 business days

S$54.95
(Includes tracking information)

Product Details

Publication date : May 27, 2019
Length: 162 pages
Edition : 1st
Language : English
ISBN-13 : 9781838825669
Category :
Languages :

Packt Subscriptions

See our plans and pricing
Modal Close icon
$19.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Simple pricing, no contract
$199.99 billed annually
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just S$6 each
Feature tick icon Exclusive print discounts
$279.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just S$6 each
Feature tick icon Exclusive print discounts

Frequently bought together


Stars icon
Total S$ 164.97
Python Machine Learning Cookbook
S$52.99
Python Machine Learning
S$74.99
Supervised Machine Learning with Python
S$36.99
Total S$ 164.97 Stars icon
Banner background image

Table of Contents

5 Chapters
First Step Towards Supervised Learning Chevron down icon Chevron up icon
Implementing Parametric Models Chevron down icon Chevron up icon
Working with Non-Parametric Models Chevron down icon Chevron up icon
Advanced Topics in Supervised Machine Learning Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Full star icon 5
(2 Ratings)
5 star 100%
4 star 0%
3 star 0%
2 star 0%
1 star 0%
charles drotar Aug 08, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book was a great reference for me and is very well written! Given my experience productizing Python ML models, I found this would have been a great educational tools for Data Scientists I had supported in the past. It would have helped to establish better coding practices. Definitely worth the money!
Amazon Verified review Amazon
Aaron Smith Aug 02, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I am not a data scientist/machine learning engineer by any means, but I am interested in the field. This book was super easy to follow along with, and provides great real-world examples. Having previously gone through the Packt video course of the same name, this was a great reference to add to my shelf.
Amazon Verified review Amazon
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

What is the delivery time and cost of print book? Chevron down icon Chevron up icon

Shipping Details

USA:

'

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

  1. Afghanistan
  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
  7. Eritrea
  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela
What is custom duty/charge? Chevron down icon Chevron up icon

Customs duty are charges levied on goods when they cross international borders. It is a tax that is imposed on imported goods. These duties are charged by special authorities and bodies created by local governments and are meant to protect local industries, economies, and businesses.

Do I have to pay customs charges for the print book order? Chevron down icon Chevron up icon

The orders shipped to the countries that are listed under EU27 will not bear custom charges. They are paid by Packt as part of the order.

List of EU27 countries: www.gov.uk/eu-eea:

A custom duty or localized taxes may be applicable on the shipment and would be charged by the recipient country outside of the EU27 which should be paid by the customer and these duties are not included in the shipping charges been charged on the order.

How do I know my custom duty charges? Chevron down icon Chevron up icon

The amount of duty payable varies greatly depending on the imported goods, the country of origin and several other factors like the total invoice amount or dimensions like weight, and other such criteria applicable in your country.

For example:

  • If you live in Mexico, and the declared value of your ordered items is over $ 50, for you to receive a package, you will have to pay additional import tax of 19% which will be $ 9.50 to the courier service.
  • Whereas if you live in Turkey, and the declared value of your ordered items is over € 22, for you to receive a package, you will have to pay additional import tax of 18% which will be € 3.96 to the courier service.
How can I cancel my order? Chevron down icon Chevron up icon

Cancellation Policy for Published Printed Books:

You can cancel any order within 1 hour of placing the order. Simply contact customercare@packt.com with your order details or payment transaction id. If your order has already started the shipment process, we will do our best to stop it. However, if it is already on the way to you then when you receive it, you can contact us at customercare@packt.com using the returns and refund process.

Please understand that Packt Publishing cannot provide refunds or cancel any order except for the cases described in our Return Policy (i.e. Packt Publishing agrees to replace your printed book because it arrives damaged or material defect in book), Packt Publishing will not accept returns.

What is your returns and refunds policy? Chevron down icon Chevron up icon

Return Policy:

We want you to be happy with your purchase from Packtpub.com. We will not hassle you with returning print books to us. If the print book you receive from us is incorrect, damaged, doesn't work or is unacceptably late, please contact Customer Relations Team on customercare@packt.com with the order number and issue details as explained below:

  1. If you ordered (eBook, Video or Print Book) incorrectly or accidentally, please contact Customer Relations Team on customercare@packt.com within one hour of placing the order and we will replace/refund you the item cost.
  2. Sadly, if your eBook or Video file is faulty or a fault occurs during the eBook or Video being made available to you, i.e. during download then you should contact Customer Relations Team within 14 days of purchase on customercare@packt.com who will be able to resolve this issue for you.
  3. You will have a choice of replacement or refund of the problem items.(damaged, defective or incorrect)
  4. Once Customer Care Team confirms that you will be refunded, you should receive the refund within 10 to 12 working days.
  5. If you are only requesting a refund of one book from a multiple order, then we will refund you the appropriate single item.
  6. Where the items were shipped under a free shipping offer, there will be no shipping costs to refund.

On the off chance your printed book arrives damaged, with book material defect, contact our Customer Relation Team on customercare@packt.com within 14 days of receipt of the book with appropriate evidence of damage and we will work with you to secure a replacement copy, if necessary. Please note that each printed book you order from us is individually made by Packt's professional book-printing partner which is on a print-on-demand basis.

What tax is charged? Chevron down icon Chevron up icon

Currently, no tax is charged on the purchase of any print book (subject to change based on the laws and regulations). A localized VAT fee is charged only to our European and UK customers on eBooks, Video and subscriptions that they buy. GST is charged to Indian customers for eBooks and video purchases.

What payment methods can I use? Chevron down icon Chevron up icon

You can pay with the following card types:

  1. Visa Debit
  2. Visa Credit
  3. MasterCard
  4. PayPal
What is the delivery time and cost of print books? Chevron down icon Chevron up icon

Shipping Details

USA:

'

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

  1. Afghanistan
  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
  7. Eritrea
  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela