Applied Machine Learning Solutions with Python: Production-ready ML Projects Using Cutting-edge Libraries and Powerful Statistical Techniques
Language: English
Published by BPB Publications, 2021
- Softcover
- New
Seller: Vedams eBooks (P) Ltd, New Delhi, IndiaVedams eBooks (P) Ltd
AbeBooks seller since January 30, 2009
Condition: New
£ 7.80
- Bank Draft
- Bank Wire Transfer
- Invoice
Quantity: 5 available
Add to basket
Item description from seller
This book discusses how to apply machine learning to real-world problems by utilizing real-world data. In this book, you will investigate data sources, become acquainted with data pipelines, and practice how machine learning works through numerous examples and case studies. The book begins with high-level concepts and implementation (with code!) and progresses towards the real-world of ML systems. It briefly discusses various concepts of Statistics and Linear Algebra. You will learn how to formulate a problem, collect data, build a model, and tune it. You will learn about use cases for data analytics, computer vision, and natural language processing. You will also explore nonlinear architecture, thus enabling you to build models with multiple inputs and outputs. You will get trained on creating a machine learning profile, various machine learning libraries, Statistics, and FAST API. Throughout the book, you will use Python to experiment with machine learning libraries such as Tensorflow, Scikit-learn, Spacy, and FastAI. The book will help train our models on both Kaggle and our datasets.…
Seller Inventory # 143103
- Title
- Applied Machine Learning Solutions with Python: Production-ready ML Projects Using Cutting-edge Libraries and Powerful Statistical Techniques
- Author
- Siddhanta Bhatta
- Publisher
- BPB Publications
- Publication year
- 2021
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 9391030432
- ISBN 13
- 9789391030438
A problem-focused guide for tackling industrial machine learning issues with methods and frameworks chosen by experts.
Key Features
● Popular techniques for problem formulation, data collection, and data cleaning in machine learning.
● Comprehensive and useful machine learning tools such as MLFlow, Streamlit, and many more.
● Covers numerous machine learning libraries, including Tensorflow, FastAI, Scikit-Learn, Pandas, and Numpy.
Description
This book discusses how to apply machine learning to real-world problems by utilizing real-world data. In this book, you will investigate data sources, become acquainted with data pipelines, and practice how machine learning works through numerous examples and case studies.
The book begins with high-level concepts and implementation (with code!) and progresses towards the real-world of ML systems. It briefly discusses various concepts of Statistics and Linear Algebra. You will learn how to formulate a problem, collect data, build a model, and tune it. You will learn about use cases for data analytics, computer vision, and natural language processing. You will also explore nonlinear architecture, thus enabling you to build models with multiple inputs and outputs. You will get trained on creating a machine learning profile, various machine learning libraries, Statistics, and FAST API.
Throughout the book, you will use Python to experiment with machine learning libraries such as Tensorflow, Scikit-learn, Spacy, and FastAI. The book will help train our models on both Kaggle and our datasets.
What you will learn
● Construct a machine learning problem, evaluate the feasibility, and gather and clean data.
● Learn to explore data first, select, and train machine learning models.
● Fine-tune the chosen model, deploy, and monitor it in production.
● Discover popular models for data analytics, computer vision, and Natural Language Processing.
Who this book is for
This book caters to beginners in machine learning, software engineers, and students who want to gain a good understanding of machine learning concepts and create production-ready ML systems. This book assumes you have a beginner-level understanding of Python.
Table of Contents
1. Introduction to Machine Learning
2. Problem Formulation in Machine Learning
3. Data Acquisition and Cleaning
4. Exploratory Data Analysis
5. Model Building and Tuning
6. Taking Our Model into Production
7. Data Analytics Use Case
8. Building a Custom Image Classifier from Scratch
9. Building a News Summarization App Using Transformers
10. Multiple Inputs and Multiple Output Models
11. Contributing to the Community
12. Creating Your Project
13. Crash Course in Numpy, Matplotlib, and Pandas
14. Crash Course in Linear Algebra and Statistics
15. Crash Course in FastAPI
About the Authors
Siddhanta Bhatta is a Machine Learning engineer with 6 years of experience in building machine learning products. He is currently working as a Senior Software Engineer in Data Analytics, Machine Learning, and Deep Learning. He has built multiple data apps in various domains such as vision, NLP, Data Analytics, and many more. He is a Microsoft-certified data scientist who believes in data literacy.
LinkedIn Profile: https://www.linkedin.com/in/siddhanta-bhatta-377880a7/
Blog Link: https://joyofunderstanding926957091.wordpress.com/
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
Vedams eBooks (P) Ltd
New Delhi, India
AbeBooks seller since January 30, 2009
Shipping rates from India to U.S.A.
| Item | 20 to 24 business days | 4 to 7 business days |
|---|---|---|
| First item | £ 14.83 | £ 27.12 |
Payment methods
You can pay with your credit card on AbeBooks.com.- Bank Draft
- Bank Wire Transfer
- Invoice
Store description
A one stop shop for books from India. We can supply any title published in India by any publisher. We have an extensive annotated catalogue of books on the web. We have been supplying books from India to University Libraries, Art Museums, Botanical Gardens world wide for the past thirty years.
Specialty
E, Yoga, Jainism, Terrorism, Literature, Linguistics, Numismatics, Environment, Encyclopedias, Textiles, Economics, Ichthyology, Natural History, Dance, Sociology, Botanical sciences, Architecture, null, Geological Sciences, Tantra, Cinema, Sikhism, null, Islam, Historical Travel, null, Ecology, Economics, null, Paintings, Herpetology, Wildlife, Music, Politics, History, Law, null, Art History, BoSeller's business information
Vedams eBooks Pvt Ltd
Vardhaman Charve Plaza IV, Bldg # 10, 2nd Floor, K.P. Block Commerical Complex, Pitampura
New Delhi, India 110 034
Terms of sale
We check every book for page mistake before they are shipped out. We take a lot of pain in our packing so that the books reach their destination in mint condition.
Name of the Company : Vedams eBooks [P] Ltd
Business Address: Vardhaman Charve Plaza IV, Bldg. 10, 2nd Floor, KP Block Commercial Centre, Pitampura, New Delhi 110034, India
e-mail address: vedams@vedamsbooks.com
Telephone Numbers: 00-91-11-27310611; 00-91-11-27310612
Fax: 00-91-27310613
Office Working Hours: 9 AM to 5 PM - Monday to Friday
Company Registration Number: U22110DL2000PTC108449
Name of the Authorized Representative: Achal Rajagopal
Amount of Share Capital: 1. Authorized Capital - Rs. 25,00,000; Paid-up Capital Rs. 796720.00
Any Further Information That Might Be Mandatory in your case: NIL
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 Vedams eBooks (P) Ltd, New Delhi, Delhi, India, +91 9312959012, 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
Shipping costs includes insurance. Books lost in transit will be replaced immediately. Shipping costs are based on books weighing 2.2 LB, or 1 KG. If your book order is heavy or oversized, we may contact you to let you know if extra shipping is required.