Release Date:- 2011-04-10
User Average Rating:- 4
Availability:- In Stock
We've all heard it: according to Hal Varian, statistics is the next sexy job. Five years ago, in What is Web 2.0, Tim O'Reilly said that "data is the next Intel Inside." But what does that statement mean? Why do we suddenly care about statistics and about..
Release Date:- 2019-04-12
Availability:- In Stock
Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. With this updated second edition, you’ll learn how many..
Release Date:- 2021-08-20
Availability:- In Stock
Monetize your company’s data and data science expertise without spending a fortune on hiring independent strategy consultants to helpWhat if there was one simple, clear process for ensuring that all your company’s data science projects achieve a high a r..
Release Date:- 2017-03-01
User Average Rating:- 4
Availability:- In Stock
The information security world is rich with information. From reviewing logs to analyzing malware, information is everywhere and in vast quantities, more than the workforce can cover. Artificial intelligence is a field of study that is adept at applying..
Release Date:- 2018-07-25
Availability:- In Stock
As the impact of data science continues to grow on society there is an increased need to discuss how data is appropriately used and how to address misuse. Yet, ethical principles for working with data have been available for decades. The real issue today..
Release Date:- 2018-12-21
Availability:- In Stock
This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale..
Release Date:- 2011-09-15
User Average Rating:- 4
Availability:- In Stock
As data science evolves to become a business necessity, the importance of assembling a strong and innovative data teams grows. In this in-depth report, data scientist DJ Patil explains the skills, perspectives, tools and processes that position data science..
Release Date:- 2018-04-13
Availability:- In Stock
A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges.The goal of data science is to improve decision making through the ..
Release Date:- 2012-08-24
User Average Rating:- 3.5
Availability:- In Stock
In the early days of the 20th century, department store magnate JohnWanamaker famously said, "I know that half of my advertising doesn'twork. The problem is that I don't know which half." That remainedbasically true until Google transformed advertising..
Release Date:- 2022-04-08
Availability:- In Stock
This open access book comprehensively consolidates studies in the rapidly emerging field of battery management. The primary focus is to overview the new and emerging data science technologies for full-lifespan management of Li-ion batteries, which are..
Release Date:- 2022-07-14
Availability:- In Stock
This open access book presents the results of three years collaboration between earth scientists and data scientist, in developing and applying data science methods for scientific discovery. The book will be highly beneficial for other researchers at..
Release Date:- 2016-09-01
Availability:- In Stock
Master how to use the Julia language to solve business critical data science challenges. After covering the importance of Julia to the data science community and several essential data science principles, we start with the basics including how to install..
Release Date:- 2020-07-26
Availability:- In Stock
Knowledge for Free... Get that job, you aspire for! Want to switch to that high paying job? Or are you already been preparing hard to give interview the next weekend? Do you know how many people get rejected in interviews by preparing..
Release Date:- 2017-03-24
User Average Rating:- 3.5
Availability:- In Stock
You want to learn Data Analytics FAST but you don’t know where to start? And you don’t have any previous experience?This book is an overview for anyone interested in learning about data analytics.This book covers all aspects of Big Data Analytics in..
Release Date:- 2023-11-17
Availability:- In Stock
Can data science truly serve the public interest? Data-driven analysis shapes many interpersonal, consumer, and cultural experiences yet scientific solutions to social problems routinely stumble. All too often, predictions remain solely a technocratic..
Release Date:- 2020-01-03
Availability:- In Stock
Using data from one season of NBA games, Basketball Data Science: With Applications in R is the perfect book for anyone interested in learning and applying data analytics in basketball. Whether assessing the spatial performance of an NBA player's shots..
Release Date:- 2024-01-30
Availability:- In Stock
Whether you are a newly minted MBA or a project manager at a Fortune 500 company, data science will play a major role in your career. Knowing how to communicate effectively with data scientists in order to obtain maximum value from their expertise is..
Release Date:- 2018-09-25
Availability:- In Stock
Malware Data Science explains how to identify, analyze, and classify large-scale malware using machine learning and data visualization.Security has become a "big data" problem. The growth rate of malware has accelerated to tens of millions of new files ..
Release Date:- 2015-05-02
Availability:- In Stock
Now, a leader of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics. Writing for both managers and students, Thomas W. Mil..
Release Date:- 2014-09-25
Availability:- In Stock
If you are an aspiring data scientist who wants to learn data science and numerical programming concepts through hands-on, real-world project examples, this is the book for you. Whether you are brand new to data science or you are a seasoned expert, you..
Release Date:- 2013-10-09
Availability:- In Stock
Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype?..
Release Date:- 2024-06-24
Availability:- In Stock
This open-access book presents the best research papers from the XIV International Congress on Tourism and Information and Communications Technologies (TURITEC2023), held in Málaga, Spain from 19 to 20 October 2023. The book explores the profound impact..
Release Date:- 2016-11-17
Availability:- In Stock
Learn how to build a data science team within your organization rather than hiring from the outside. Teach your team to ask the right questions to gain actionable insights into your business.Most organizations still focus on objectives and deliverable..
Release Date:- 2018-11-23
Availability:- In Stock
The Foundational Hands-On Skills You Need to Dive into Data Science “Freeman and Ross have created the definitive resource for new and aspiring data scientists to learn foundational programming skills.” –From the foreword by Jared Lander, series ..
Release Date:- 2019-03-21
Availability:- In Stock
Learn data science by doing data science! Data Science Using Python and R will get you plugged into the world’s two most widespread open-source platforms for data science: Python and R.Data science is hot. Bloomberg called data scientist “the hot..
Release Date:- 2023-07-04
Availability:- In Stock
Learn how to use data science and Python to solve everyday business problems.Dive into the exciting world of data science with this practical introduction. Packed with essential skills and useful examples, Dive Into Data Science will show you how to obta..
Release Date:- 2022-03-29
Availability:- In Stock
Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data..
Release Date:- 2022-12-06
Availability:- In Stock
Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of..
Release Date:- 2022-05-26
Availability:- In Stock
Master the math needed to excel in data science, machine learning, and statistics. In this book author Thomas Nield guides you through areas like calculus, probability, linear algebra, and statistics and how they apply to techniques like linear regression,..
Release Date:- 2021-04-07
Availability:- In Stock
With this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data science projects on Amazon Web Services. The Amazon AI and machine learning stack unifies data science, data engineering, and application..
