How Long to Read Practitioner’s Guide to Data Science

How Long Does it Take to Read Practitioner’s Guide to Data Science?

It takes the average reader 4 hours and 36 minutes to read Practitioner’s Guide to Data Science by Nasir Ali Mirza

Assuming a reading speed of 250 words per minute. Learn more

Description

Covers Data Science concepts, processes, and the real-world hands-on use cases. KEY FEATURES ● Covers the journey from a basic programmer to an effective Data Science developer. ● Applied use of Data Science native processes like CRISP-DM and Microsoft TDSP. ● Implementation of MLOps using Microsoft Azure DevOps. DESCRIPTION "How is the Data Science project to be implemented?" has never been more conceptually sounding, thanks to the work presented in this book. This book provides an in-depth look at the current state of the world's data and how Data Science plays a pivotal role in everything we do. This book explains and implements the entire Data Science lifecycle using well-known data science processes like CRISP-DM and Microsoft TDSP. The book explains the significance of these processes in connection with the high failure rate of Data Science projects. The book helps build a solid foundation in Data Science concepts and related frameworks. It teaches how to implement real-world use cases using data from the HMDA dataset. It explains Azure ML Service architecture, its capabilities, and implementation to the DS team, who will then be prepared to implement MLOps. The book also explains how to use Azure DevOps to make the process repeatable while we're at it. By the end of this book, you will learn strong Python coding skills, gain a firm grasp of concepts such as feature engineering, create insightful visualizations and become acquainted with techniques for building machine learning models. WHAT YOU WILL LEARN ● Organize Data Science projects using CRISP-DM and Microsoft TDSP. ● Learn to acquire and explore data using Python visualizations. ● Get well versed with the implementation of data pre-processing and Feature Engineering. ● Understand algorithm selection, model development, and model evaluation. ● Hands-on with Azure ML Service, its architecture, and capabilities. ● Learn to use Azure ML SDK and MLOps for implementing real-world use cases. WHO THIS BOOK IS FOR This book is intended for programmers who wish to pursue AI/ML development and build a solid conceptual foundation and familiarity with related processes and frameworks. Additionally, this book is an excellent resource for Software Architects and Managers involved in the design and delivery of Data Science-based solutions. TABLE OF CONTENTS 1. Data Science for Business 2. Data Science Project Methodologies and Team Processes 3. Business Understanding and Its Data Landscape 4. Acquire, Explore, and Analyze Data 5. Pre-processing and Preparing Data 6. Developing a Machine Learning Model 7. Lap Around Azure ML Service 8. Deploying and Managing Models

How long is Practitioner’s Guide to Data Science?

Practitioner’s Guide to Data Science by Nasir Ali Mirza is 273 pages long, and a total of 69,069 words.

This makes it 92% the length of the average book. It also has 84% more words than the average book.

How Long Does it Take to Read Practitioner’s Guide to Data Science Aloud?

The average oral reading speed is 183 words per minute. This means it takes 6 hours and 17 minutes to read Practitioner’s Guide to Data Science aloud.

What Reading Level is Practitioner’s Guide to Data Science?

Practitioner’s Guide to Data Science is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Practitioner’s Guide to Data Science?

Practitioner’s Guide to Data Science by Nasir Ali Mirza is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

To buy Practitioner’s Guide to Data Science by Nasir Ali Mirza on Amazon click the button below.