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Capitalizing Data Science


Capitalizing Data Science
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Capitalizing Data Science


Capitalizing Data Science
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Author : Mathangi Sri Ramachandran
language : en
Publisher: BPB Publications
Release Date : 2022-12-03

Capitalizing Data Science written by Mathangi Sri Ramachandran and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-03 with Computers categories.


Unlock the Potential of Data Science and Machine Learning to Your Business and Organization KEY FEATURES ● Includes today's most popular applications powered by data science and machine learning technology. ● A solid primer on the entire data science lifecycle, detailed with examples. ● An integrated approach to demonstrating the use of Image Processing, Natural Language Processing, and Neural Networks in business. DESCRIPTION Can you foresee how your company and its products will benefit from data science? How can the results of using AI and ML in business be tracked and questioned? Do questions like ‘how do you build a data science team?’ keep popping into your head? All these strategic concerns and challenges are addressed in this book. Firstly, the book explores the evolution of decision-making based on empirical evidence. The book then helps compare the data-supported era with the current data-led era. It also discusses how to successfully run a data science project, the lifecycle of a data science project, and what it looks like. The book dives fairly in-depth into various today's data-led applications, highlights example datasets, discusses obstacles, and explains machine learning models and algorithms intuitively. This book covers structural and organizational considerations for making a data science team. The book helps recommend the use of optimal data science organization structure based on the company's level of development. Finally, the book explains data science's effects on businesses by assisting technological leaders. WHAT YOU WILL LEARN ● Learn the entire data science lifecycle and become fluent in each phase. ● Discover the world of supervised and unsupervised learning applications and structured and unstructured datasets. ● Discuss NLP's function, its potential, and the application of well-known methods like BERT and GPT3. ● Explain practical applications like automatic captioning, machine translation, and emotion recognition. ● Provide a framework for evaluating your team's data science skills and resources. WHO THIS BOOK IS FOR Startups, investors, small businesses, product management teams, CxO and all developing businesses desiring to leverage a data science team to gain the most from this book. The book also discusses the potential of practical applications of machine learning and AI for the future of businesses in banking and e-commerce. TABLE OF CONTENTS 1. Data-Driven Decisions from Beginning to Now 2. Data Science Life Cycle —Part 1 3. Data Science Life Cycle —Part 2 4. Deep Dive into AI 5. Applying AI with Structured Data—Banking 6. Applying AI with Structured Data 7. Applying AI with Structured Data—On-Demand Deliveries 8. AI in Natural Language Processing 9. Bringing It All Together



The Secret To Capitalizing On Analytics


The Secret To Capitalizing On Analytics
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Author : Tarek Riman
language : en
Publisher: Cap.TaiM Marketing Inc.
Release Date : 2019-09-06

The Secret To Capitalizing On Analytics written by Tarek Riman and has been published by Cap.TaiM Marketing Inc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-06 with Business & Economics categories.


The Secret to Capitalizing on Analytics' purpose is to help start-ups, students, beginners and entrepreneurs understand how to use data to optimize and improve their business and marketing strategy. All businesses today, no matter what their size, need to know how their website is performing. Without analytics, there is no way for a company to know how their website is performing in terms of attracting, informing and converting visitors.In this book, you will learn how to get started with Google Analytics and how to set it up for optimal tracking. You will also learn to assess which marketing campaigns bring the best traffic to your website, which pages on your website are the most popular and how to extract information about your visitors. Information such as location, interests, age, behaviours and more so you can better understand your web traffic and capitalize on your marketing. You will also learn how to capitalize on the different trends and tools that are available.



Artificial Intelligence And Data Analytics


Artificial Intelligence And Data Analytics
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Author : Dr. A. Vijayalakshmi
language : en
Publisher: Academic Guru Publishing House
Release Date : 2024-02-06

Artificial Intelligence And Data Analytics written by Dr. A. Vijayalakshmi and has been published by Academic Guru Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-06 with Study Aids categories.


"Artificial Intelligence and Data Analytics" is an essential manual that clarifies the intricate yet enthralling domains of AI and Data Analytics, providing readers with an all-encompassing examination of the revolutionary potential that these technologies possess in the present-day environment. An indispensable resource for professionals, academicians, and enthusiasts desiring a profound comprehension of the interrelationships among artificial intelligence and data analytics, this book has been painstakingly crafted. The book commences with a meticulously organized structure that establishes a strong groundwork, exploring the fundamental principles of data analytics, machine learning, and artificial intelligence. The narrative proceeds with case studies and real-world applications that shed light on the pragmatic ramifications of these technologies in various sectors, including healthcare, finance, and e-commerce. This book is distinguished by its nuanced treatment of ethical considerations, which addresses the conscientious and responsible application of artificial intelligence and data-driven insights. By delving into sophisticated algorithms and addressing the complexities of big data, the book provides readers with a comprehensive understanding of these ever-evolving domains through the application of both theoretical and practical expertise. Irrespective of one's level of expertise, "Artificial Intelligence and Data Analytics" provides an engaging exploration of the latest advancements and prospective prospects, assisting individuals in maximizing the capabilities of AI and Data Analytics within their specific fields.



Capitalizing On Investments In Science And Technology


Capitalizing On Investments In Science And Technology
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Author : National Academy of Engineering
language : en
Publisher: National Academies Press
Release Date : 1999-03-18

Capitalizing On Investments In Science And Technology written by National Academy of Engineering and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-03-18 with Political Science categories.


Although the United States is currently capitalizing on its investment in science and technology effectively, there remains much room for improvement. This volume identifies the ingredients for success in capitalizing on such investments to produce national benefits, assesses current U.S. performance, and identifies future challenges. The book cites specific examples and examines several cross-cutting issues. It explores the possibility that the national research portfolio is losing diversity as a result of less long-term research in critical fields such as networking and materials. It also examines the implications of imbalances in the supply of and demand for science and engineering talent in emerging interdisciplinary fields such as bioinformatics.



Data Science Classification And Related Methods


Data Science Classification And Related Methods
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Author : Chikio Hayashi
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-11

Data Science Classification And Related Methods written by Chikio Hayashi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-11 with Mathematics categories.


This volume contains selected papers covering a wide range of topics, including theoretical and methodological advances relating to data gathering, classification and clustering, exploratory and multivariate data analysis, and knowledge seeking and discovery. The result is a broad view of the state of the art, making this an essential work not only for data analysts, mathematicians, and statisticians, but also for researchers involved in data processing at all stages from data gathering to decision making.



Data Science For Financial Econometrics


Data Science For Financial Econometrics
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Author : Nguyen Ngoc Thach
language : en
Publisher: Springer Nature
Release Date : 2020-11-13

Data Science For Financial Econometrics written by Nguyen Ngoc Thach and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-13 with Computers categories.


This book offers an overview of state-of-the-art econometric techniques, with a special emphasis on financial econometrics. There is a major need for such techniques, since the traditional way of designing mathematical models – based on researchers’ insights – can no longer keep pace with the ever-increasing data flow. To catch up, many application areas have begun relying on data science, i.e., on techniques for extracting models from data, such as data mining, machine learning, and innovative statistics. In terms of capitalizing on data science, many application areas are way ahead of economics. To close this gap, the book provides examples of how data science techniques can be used in economics. Corresponding techniques range from almost traditional statistics to promising novel ideas such as quantum econometrics. Given its scope, the book will appeal to students and researchers interested in state-of-the-art developments, and to practitioners interested in using data science techniques.



Big Data And Hadoop


Big Data And Hadoop
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Author : VK Jain
language : en
Publisher: KHANNA PUBLISHING
Release Date : 2017-01-01

Big Data And Hadoop written by VK Jain and has been published by KHANNA PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-01 with Education categories.


This book introduces you to the Big Data processing techniques addressing but not limited to various BI (business intelligence) requirements, such as reporting, batch analytics, online analytical processing (OLAP), data mining and Warehousing, and predictive analytics. The book has been written on IBMs Platform of Hadoop framework. IBM Infosphere BigInsight has the highest amount of tutorial matter available free of cost on Internet which makes it easy to acquire proficiency in this technique. This therefore becomes highly vunerable coaching materials in easy to learn steps. The book optimally provides the courseware as per MCA and M. Tech Level Syllabi of most of the Universities. All components of big Data Platform like Jaql, Hive Pig, Sqoop, Flume , Hadoop Streaming, Oozie: HBase, HDFS, FlumeNG, Whirr, Cloudera, Fuse , Zookeeper and Mahout: Machine learning for Hadoop has been discussed in sufficient Detail with hands on Exercises on each.



Capitalizing Knowledge


Capitalizing Knowledge
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Author : Henry Etzkowitz
language : en
Publisher: SUNY Press
Release Date : 1998-09-24

Capitalizing Knowledge written by Henry Etzkowitz and has been published by SUNY Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-09-24 with Education categories.


Examines current trends toward increasing links between industry and academia and the resulting commercialization of universities as they seek to capitalize their research.



Fao Strategy For Private Sector Engagement 2021 2025


Fao Strategy For Private Sector Engagement 2021 2025
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Author : Food and Agriculture Organization of the United Nations
language : en
Publisher: Food & Agriculture Org.
Release Date : 2021-02-22

Fao Strategy For Private Sector Engagement 2021 2025 written by Food and Agriculture Organization of the United Nations and has been published by Food & Agriculture Org. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-22 with Business & Economics categories.


This strategy specifically targets the different types of the private sector from large national and multinational corporations, to financial institutions, micro, small and medium enterprises (MSMEs), industry and trade organizations and consortia which represent private sector interests, farmers and farmers’ organizations, producers’ organizations and cooperatives and philanthropic foundations. At the same time, it also targets FAO Membership, as well as the general public who wish to learn more about FAO's strategy and ways of engaging with the private sector.



Smart Connected World


Smart Connected World
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Author : Sarika Jain
language : en
Publisher: Springer Nature
Release Date : 2021-09-27

Smart Connected World written by Sarika Jain and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-27 with Computers categories.


This book provides an overview of the emerging smart connected world, and discusses the roles and the usage of underlying semantic computing and Internet-of-Things (IoT) technologies. The book comprises ten chapters overall, grouped in two parts. Part I “Smart Connected World: Overview and Technologies” consists of seven chapters and provides a holistic overview of the smart connected world and its supporting tools and technologies. Part II “Applications and Case Studies” consists of three chapters that describe applications and case studies in manufacturing, smart cities, health, and more. Each chapter is self-contained and can be read independently; taken together, readers get a bigger picture of the technological and application landscape of the smart connected world. This book is of interest for researchers, lecturers, and practitioners in Semantic Web, IoT and related fields. It can serve as a reference for instructors and students taking courses in hybrid computing getting abreast of cutting edge and future directions of a connected ecosystem. It will also benefit industry professionals like software engineers or data scientists, by providing a synergy between Web technologies and applications. This book covers the most important topics on the emerging field of the smart connected world. The contributions from leading active researchers and practitioners in the field are thought provoking and can help in learning and further research. The book is a valuable resource that will benefit academics and industry. It will lead to further research and advancement of the field. Bharat K. Bhargava, Professor of Computer Science, Purdue University, United States