Python Machine Learning Blueprints - Second Edition
Language: English
Published by Packt Publishing, 2019
- Softcover
- New
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
AbeBooks seller since April 6, 2009
Condition: New
£ 40.76
Quantity: Over 20 available
Add to basketSeller Inventory # 35166149-n
- Title
- Python Machine Learning Blueprints - Second Edition
- Author
- Alexander Combs; Michael Roman
- Publisher
- Packt Publishing
- Publication year
- 2019
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1788994175
- ISBN 13
- 9781788994170
- Edition
- 2nd Edition
Discover a project-based approach to mastering machine learning concepts by applying them to everyday problems using libraries such as scikit-learn, TensorFlow, and Keras
Key Features
- Get to grips with Python's machine learning libraries including scikit-learn, TensorFlow, and Keras
- Implement advanced concepts and popular machine learning algorithms in real-world projects
- Build analytics, computer vision, and neural network projects
Book Description
Machine learning is transforming the way we understand and interact with the world around us. This book is the perfect guide for you to put your knowledge and skills into practice and use the Python ecosystem to cover key domains in machine learning. This second edition covers a range of libraries from the Python ecosystem, including TensorFlow and Keras, to help you implement real-world machine learning projects.
The book begins by giving you an overview of machine learning with Python. With the help of complex datasets and optimized techniques, you'll go on to understand how to apply advanced concepts and popular machine learning algorithms to real-world projects. Next, you'll cover projects from domains such as predictive analytics to analyze the stock market and recommendation systems for GitHub repositories. In addition to this, you'll also work on projects from the NLP domain to create a custom news feed using frameworks such as scikit-learn, TensorFlow, and Keras. Following this, you'll learn how to build an advanced chatbot, and scale things up using PySpark. In the concluding chapters, you can look forward to exciting insights into deep learning and you'll even create an application using computer vision and neural networks.
By the end of this book, you'll be able to analyze data seamlessly and make a powerful impact through your projects.
What you will learn
- Understand the Python data science stack and commonly used algorithms
- Build a model to forecast the performance of an Initial Public Offering (IPO) over an initial discrete trading window
- Understand NLP concepts by creating a custom news feed
- Create applications that will recommend GitHub repositories based on ones you've starred, watched, or forked
- Gain the skills to build a chatbot from scratch using PySpark
- Develop a market-prediction app using stock data
- Delve into advanced concepts such as computer vision, neural networks, and deep learning
Who this book is for
This book is for machine learning practitioners, data scientists, and deep learning enthusiasts who want to take their machine learning skills to the next level by building real-world projects. The intermediate-level guide will help you to implement libraries from the Python ecosystem to build a variety of projects addressing various machine learning domains. Knowledge of Python programming and machine learning concepts will be helpful.
Table of Contents
- The Python Machine Learning Ecosystem
- Build an App to Find Underpriced Apartments
- Build an App to Find Cheap Airfares
- Forecast the IPO Market Using Logistic Regression
- Create a Custom Newsfeed
- Predict whether Your Content Will Go Viral
- Use Machine Learning to Forecast the Stock Market
- Classifying Images with Convolutional Neural Networks
- Building a Chatbot
- Build a Recommendation Engine
- What's next?
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
GreatBookPrices
Columbia, MD, U.S.A.
AbeBooks seller since April 6, 2009
Shipping rates within U.S.A.
| Item | 5 to 14 business days | 8 to 14 business days |
|---|---|---|
| First item | £ 1.96 | £ 1.96 |
Payment methods
Store description
Seller's business information
Expert Trading Limited
9220 Rumsey Road, Suite 101
Columbia, MD U.S.A. 21045
Terms of sale
Company Name: GreatBookPrices
Legal Entity: Expert Trading, LLC
Address: 6310 Stevens Forest, suite 200, Columbia MD 21046
Email address: CustomerService@SuperBookDeals.com
Phone number: 410-964-0026
consumer complaints can be addressed to address above
Registration #: 52-1713923
Authorized representative: Danielle Hainsey
Right of withdrawal
If you are a consumer you can withdraw from the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.
Information regarding the right of withdrawal
Statutory right to withdraw
You have the right to withdraw from this contract within 14 days without giving any reason.
The withdrawal period will expire after 14 days from the day on which you acquire, or a third party other than the carrier and indicated by you acquires, physical possession of the last good or the last lot or piece.
To exercise the right of withdrawal, electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". We will communicate to you an acknowledgement of receipt of such a withdrawal on a durable medium (e.g. by e-mail) without delay.
To meet the withdrawal deadline, it is sufficient for you to send your communication concerning your exercise of the right of withdrawal before the withdrawal period has expired.
Effects of withdrawal
If you withdraw from this contract, we will reimburse to you all payments received from you, including the costs of delivery (except for the supplementary costs arising if you chose a type of delivery other than the least expensive type of standard delivery offered by us).
We may make a deduction from the reimbursement for loss in value of any goods supplied, if the loss is the result of unnecessary handling by you.
We will make the reimbursement without undue delay, and not later than 14 days after the day on which we are informed about your decision to withdraw from this contract.
We will make the reimbursement using the same means of payment as you used for the initial transaction, unless you have expressly agreed otherwise; in any event, you will not incur any fees as a result of such reimbursement.
We may withhold reimbursement until we have received the goods back, or you have supplied evidence of having sent back the goods, whichever is the earliest.
You shall send back the goods or hand them over to GreatBookPrices, Bensenville, Illinois, U.S.A., without undue delay and in any event not later than 14 days from the day on which you communicate your withdrawal from this contract to us. The deadline is met if you send back the goods before the period of 14 days has expired. You will have to bear the direct cost of returning the goods. You are only liable for any diminished value of the goods resulting from the handling other than what is necessary to establish the nature, characteristics and functioning of the goods.
Exceptions to the right of withdrawal
The right of withdrawal does not apply to:
- The delivery of newspapers, journals or magazines with the exception of subscription contracts; and
- The supply of digital content which is not supplied on a tangible medium (e.g. on a CD or DVD) if you accepted when you placed your order that we could start to deliver it, and that you could not withdraw once delivery had started.
Shipping terms
Our warehouses across the globe are fully operational without substantial delays. We are working hard and continue to overcome the daily challenges presented by COVID-19. We appreciate your understanding.
Internal processing of your order will take about 1-2 business days. Please allow an additional 4-14 business days for Media Mail delivery. We have multiple ship-from locations - MD,IL,NJ,UK,IN,NV,TN & GA