Machine Learning for Business Analytics
Language: English
Published by Taylor and Francis Ltd, 2022
- Softcover
- New

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Seller Inventory # GB-9781032072777
- Title
- Machine Learning for Business Analytics
- Publisher
- Taylor and Francis Ltd
- Publication year
- 2022
- Condition
- New
- Binding
- PAP
- Language
- English
- ISBN 10
- 1032072776
- ISBN 13
- 9781032072777
- Item weight
- 350 grams
Machine Learning is an integral tool in a business analyst’s arsenal because the rate at which data is being generated from different sources is increasing and working on complex unstructured data is becoming inevitable. Data collection, data cleaning, and data mining are rapidly becoming more difficult to analyze than just importing information from a primary or secondary source. The machine learning model plays a crucial role in predicting the future performance and results of a company. In real-time, data collection and data wrangling are the important steps in deploying the models. Analytics is a tool for visualizing and steering data and statistics. Business analysts can work with different datasets -- choosing an appropriate machine learning model results in accurate analyzing, forecasting the future, and making informed decisions.
The global machine learning market was valued at $1.58 billion in 2017 and is expected to reach $20.83 billion in 2024 -- growing at a CAGR of 44.06% between 2017 and 2024. The authors have compiled important knowledge on machine learning real-time applications in business analytics. This book enables readers to get broad knowledge in the field of machine learning models and to carry out their future research work. The future trends of machine learning for business analytics are explained with real case studies.
Essentially, this book acts as a guide to all business analysts. The authors blend the basics of data analytics and machine learning and extend its application to business analytics. This book acts as a superb introduction and covers the applications and implications of machine learning. The authors provide first-hand experience of the applications of machine learning for business analytics in the section on real-time analysis. Case studies put the theory into practice so that you may receive hands-on experience with machine learning and data analytics. This book is a valuable source for practitioners, industrialists, technologists, and researchers.
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Hemachadran K completed B.Tech in Electronics and Communication engineering from Dr.MGR Educational & Research Institute University, India in 2007 as well as M.Tech in VLSI & Embedded Systems and Ph.D. in Interdisciplinary of ECE / EEE in 2011 and 2017, respectively. Most of his publications are Scopus / SCI indexed. He has guided more than 50 M.Tech &B.Tech projects. He served in the Advisory board to many National and International Conferences and is serving as an Editor and reviewer to many reputed journals.
Dr. Sayantan Khanra pursued Ph.D. in Strategic Management from the Indian Institute of Management Rohtak. He is a visiting research scholar at the National Taiwan University of Science and Technology and the Turku School of Economics, Finland. His research interests relate to the strategic analysis of various components of a digital economy. Some of his research is presented at prestigious conferences organized by the Academy of Management, Academy of International Business, Pan-IIM Committee, and UNESCO, among others. His research papers are published in quality international journals, such as Enterprise Information Systems, Journal of Hospitality and Tourism Management, and Tourism Management Perspectives
Dr. Raul V. Rodriguez holds an MBA, MHRM, and MSc in Big Data and BI from Universidad Isabel I, Spain and has completed his Ph.D. in Artificial Intelligence and Robotic Process Applications to HR from San Miguel University, Mexico.
His specific areas of expertise and interest are Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Robotic Process Automation, Multi-agent Systems, Knowledge Engineering, and Quantum Artificial Intelligence. He is adept in the latest programming languages & software such as Prolog, Java, JavaScript, C++, Python, R/RStudio, Julia, Swift, Scala, MySQL, Tableau, Spark, among others.
A registered expert in Artificial intelligence, Intelligent Systems, and Multi-agent Systems at the European Commission, Dr. Raul has been nominated for the Forbes 30 Under 30 Europe 2020 list, and awardee at the 40 Under 40 Europe India Leaders. Alongside this, he is a regular keynote speaker and panel moderator at various national and international conferences or summits. Additionally, he is a member of the Harvard Business Review Advisory Council, the Oxford Artificial Intelligence Society, part of the University of Oxford, and the Institute for Robotics Process Automation & Artificial Intelligence.
Dr. Juan R. Jaramillo is an associate professor and the director of the Master of Science in Business Analytics in the Robert Willumstad School of Business at Adelphi University. He holds a Ph.D. in Industrial Engineering from West Virginia University. His published research spans the fields of Analytics, Logistics, Operations Management, and Health Care Analytics. Juan has been an invited editor of the INFORMS Journal on Applied Analytics and the Journal of Modelling in Management. Juan has been the chair and co-chair of the INFORMS Innovative Applications in Analytics Award besides being a judge of the award since its inception. He is the inaugural recipient of the prestigious Michael F. Gorman award for his contribution to the Analytics Society of INFORMS.
"About the title" may belong to another edition of this title.
PBShop.store UK
Fairford, GLOS, United Kingdom
AbeBooks seller since June 11, 1999
Shipping rates from United Kingdom to U.S.A.
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Our people
COLLECTION:
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Personal data of our people will be used for HR administration and management, both in respect of the selection of people to work for us (including suitability, eligibility and/or fitness to work), and those who do work for us, to include learning and development, disciplinary and security (of people, offices and data) requirements, providing and liaising with benefits providers, business management and planning (including accounting and auditing), paying you and dealing with tax and NI deductions, assessing and deciding on salary reviews and compensation, conducting performance reviews and managing performance, dealing with legal disputes involving you or others, preventing fraud, monitoring your use of our information and communications systems, ensuring compliance with our policies, and equal opportunities monitoring.
We will only use your personal data when the law allows us to. Most commonly, we will use your personal data in the following circumstances:
In performance of a contract with you; and/or
compliance with a legal obligation; and/or
vital interests of the data subject; and/or
where it is necessary for our legitimate interests (or those of a third party) and your interests and fundamental rights do not override those interests.
We may also use your personal data in the following situations, which are likely to be less common:
where we need to protect your interests (or someone else’s interests);
where it is needed in the public interest or for official purposes.
In respect of all disclosures of personal data, we will only share the personal information which is necessary for the particular purpose for which it is provided, or where we have another legitimate interest in doing so, and we will ensure that the personal data is appropriately protected.
In respect of special categories of personal data, we may process this in the following circumstances:
in limited circumstances with your explicit written consent; and/or
where we need to carry out our legal obligations and in line with our policies; and/or
where it is needed in the public interest (such as for equal opportunities monitoring or in relation to our occupational pension scheme), and in line with our policies; and/or
where it is needed to assess your working capacity on health grounds, subject to appropriate confidentiality safeguards.
Less commonly, we may process this type of information where it is needed in relation to legal claims or where it is needed to protect your (or someone else’s) interests and you are not capable of giving your consent, or where you have already made the information public. We may also process such information about our people (or former people) in the course of our legitimate business activities with the appropriate safeguards.
The special categories of personal data may be used in the following ways:
in relation to leaves of absence, to comply with employment and other laws;
in relation to your physical or mental health, or disability status, to ensure your health and safety in the workplace and to assess your fitness to work, to monitor, manage and administer benefits and absences;
in relation to your race, national or ethnic origin, religious, philosophical or moral beliefs, or your sexual life or sexual orientation, to ensure meaningful equal opportunity monitoring and reporting.
DISCLOSURE:
Personal data may be transferred to service providers who support the operation of our business (such as payroll service providers), to other third parties reasonably necessary in the conduct of our business (including insurers, professional advisors, regulators). These third parties may be acting as processor, or controller of personal data in their own right.
In respect of all disclosures of personal data, we will only share the personal information which is necessary for the particular purpose for which it is provided, or where we have another legitimate interest in doing so, and we will ensure that the personal data is appropriately protected.
RETENTION PERIOD:
We will keep personal data only for as long as is necessary to fulfil the purposes for which we collected it, including for the purposes of satisfying any legal, accounting or reporting requirements. We will normally keep personal data of applicants who we do not employ for six months after we receive it.
We will keep personal data of employees throughout your employment and normally for a minimum of six years after your employment ends.
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Data Security
We have put in place measures to prevent your personal data from being accidentally lost, used or accessed in an unauthorised way, altered or disclosed. In addition, we limit access to your personal data to those of our people and other third parties who have a business need to know. They will only process your personal data on our instructions and where they have agreed to treat the information confidentially and to keep it secure. We have put in place procedures to deal with any suspected data security breach and will notify you and the ICO of a suspected breach where we are legally required to do so.
Where we store your personal data
We principally store data, both electronically and on file, at our office.
Personal data may be transferred outside of the EEA by processors acting on our behalf. For transfers to countries not considered adequate by the EC, we will ensure that personal data is adequately protected, as required by the GDPR. This would include by use of the Standard Contractual Clauses adopted by the EC to protect personal data.
Your rights
Under certain circumstances, you have the right by law to request:
access to your personal data. This enables you to ask to receive a copy of the personal data that we hold about you and to check that we are lawfully processing it.
correction of the personal data that we hold about you.
erasure of your personal data.
object to processing of your personal data where we are relying on our legitimate interest and there is something about your particular situation which makes you want to object to processing on this ground. You also have the right to object where we are processing your personal information for direct marketing purposes.
restriction of processing of your personal data.
transfer of your personal data to another party.
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CHANGES TO THIS PRIVACY POLICY
Any changes we may make to our privacy policy in the future will be posted on our website, so please ensure that you are viewing the correct version.
Please contact us if you have any questions, comments or requests regarding this Privacy Policy.
Last amended May 2021.