Ai Augmented Data Scientist
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Ai Augmented Data Scientist
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Author : HEBooks
language : en
Publisher: Hebooks
Release Date :
Ai Augmented Data Scientist written by HEBooks and has been published by Hebooks this book supported file pdf, txt, epub, kindle and other format this book has been release on with Antiques & Collectibles categories.
AI-Augmented Data Scientist: How to Use Artificial Intelligence for Predictive Analytics, Machine Learning Models, and Big Data Insights Are you drowning in data and deadlines—while AI-powered competitors surge ahead? You're not alone. The world of data science is changing faster than most can keep up. Companies are no longer just using AI to support analysts—they're amplifying their top talent , automating the mundane, and unlocking insights at lightning speed. Inside this book, you’ll discover how to stop fighting the future—and start leading it. From automating data prep with LLMs , to building smarter models with AI-driven code , all the way to explaining results like a pro and staying ethically sharp , this book gives you the blueprint to become the new breed of data scientist: AI-augmented, ultra-productive, and relentlessly strategic . No fluff. No theory. Just real tools, real workflows, and real results. If you want to stay relevant, valuable, and ahead of the curve—this book is your edge.
Data Science Exploration In Artificial Intelligence
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Author : Gururaj H L
language : en
Publisher: CRC Press
Release Date : 2025-02-26
Data Science Exploration In Artificial Intelligence written by Gururaj H L and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-26 with Computers categories.
The book captures the essence of the International Conference on Data Science & Exploration in Artificial Intelligence and offers a comprehensive exploration of cutting-edge research in AI, data science, and their applications. It covers a wide array of topics including advanced Data Science, IoT, Security, Cloud Computing, Networks, Security, Image, Video and Signal Processing, Computational Biology, Computer and Information Technology. It highlights innovative research contributions and practical applications, offering readers a detailed understanding of current trends and challenges. The findings emphasize the role of global collaboration and interdisciplinary approaches in pushing the boundaries of AI and data science. Selected papers published by Taylor and Francis showcase pioneering work that is shaping the future of these fields. This is an ideal read for AI and data science researchers, industry professionals, and students seeking to stay updated on the latest advancements and ethical considerations in these areas.
Artificial Intelligence And Data Science Engineering
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Author : Dr.Ravi Kumar Saidala
language : en
Publisher: Leilani Katie Publication
Release Date : 2024-07-13
Artificial Intelligence And Data Science Engineering written by Dr.Ravi Kumar Saidala and has been published by Leilani Katie Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-13 with Computers categories.
Dr.Ravi Kumar Saidala, Associate Professor, Department of Computer Science and Engineering (Data Science), CMR University, Bangalore, Karnataka, India. Dr.D.Usha Rani, Associate Professor, Department of Computer Science and Applications, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India. Ms.Indu.B, Assistant Professor, Department of Computer Science Engineering, Dayananda Sagar Academy of Technology and Management (DSATM), Bangalore, Karnataka, India. Dr.Shanthala.P.T, Assistant Professor, Department of Computer Science Engineering, PES University, Bangalore, Karnataka, India.
Intersection Of Artificial Intelligence Data Science And Cutting Edge Technologies From Concepts To Applications In Smart Environment
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Author : Yousef Farhaoui
language : en
Publisher: Springer Nature
Release Date : 2025-05-02
Intersection Of Artificial Intelligence Data Science And Cutting Edge Technologies From Concepts To Applications In Smart Environment written by Yousef Farhaoui and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-02 with Computers categories.
This book explores the integration of AI, data science, and emerging technologies to create innovative, practical solutions for smart environments. This book offers a comprehensive framework that combines theoretical concepts with real-world applications, focusing on how these technologies intersect to transform various domains such as healthcare, urban planning, and sustainable development. The book's novel approach emphasizes interdisciplinary methods and problem-solving in dynamic, data-driven environments, with case studies illustrating practical impacts and advancements in smart city infrastructure, IoT, and predictive analytics. It is designed for researchers, practitioners, and advanced students interested in AI and data science applications within smart systems, as well as professionals seeking actionable insights to apply these technologies in complex environments.
Advances In Artificial Intelligence Computation And Data Science
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Author : Tuan D. Pham
language : en
Publisher: Springer Nature
Release Date : 2021-07-12
Advances In Artificial Intelligence Computation And Data Science written by Tuan D. Pham and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-12 with Science categories.
Artificial intelligence (AI) has become pervasive in most areas of research and applications. While computation can significantly reduce mental efforts for complex problem solving, effective computer algorithms allow continuous improvement of AI tools to handle complexity—in both time and memory requirements—for machine learning in large datasets. Meanwhile, data science is an evolving scientific discipline that strives to overcome the hindrance of traditional skills that are too limited to enable scientific discovery when leveraging research outcomes. Solutions to many problems in medicine and life science, which cannot be answered by these conventional approaches, are urgently needed for society. This edited book attempts to report recent advances in the complementary domains of AI, computation, and data science with applications in medicine and life science. The benefits to the reader are manifold as researchers from similar or different fields can be aware of advanced developments and novel applications that can be useful for either immediate implementations or future scientific pursuit. Features: Considers recent advances in AI, computation, and data science for solving complex problems in medicine, physiology, biology, chemistry, and biochemistry Provides recent developments in three evolving key areas and their complementary combinations: AI, computation, and data science Reports on applications in medicine and physiology, including cancer, neuroscience, and digital pathology Examines applications in life science, including systems biology, biochemistry, and even food technology This unique book, representing research from a team of international contributors, has not only real utility in academia for those in the medical and life sciences communities, but also a much wider readership from industry, science, and other areas of technology and education.
Navigating Data Science
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Author : Babita Singla
language : en
Publisher: Emerald Group Publishing
Release Date : 2025-04-14
Navigating Data Science written by Babita Singla and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-14 with Business & Economics categories.
Navigating Data Science: Unleashing the Creative Potential of Artificial Intelligence can offer significant contributions in the field of generative intelligence in the context of data science and help stakeholders formulate strategies to tackle its adoption, implementation, and control challenges.
Applying Data Science
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Author : Arthur K. Kordon
language : en
Publisher: Springer Nature
Release Date : 2020-09-12
Applying Data Science written by Arthur K. Kordon and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-12 with Computers categories.
This book offers practical guidelines on creating value from the application of data science based on selected artificial intelligence methods. In Part I, the author introduces a problem-driven approach to implementing AI-based data science and offers practical explanations of key technologies: machine learning, deep learning, decision trees and random forests, evolutionary computation, swarm intelligence, and intelligent agents. In Part II, he describes the main steps in creating AI-based data science solutions for business problems, including problem knowledge acquisition, data preparation, data analysis, model development, and model deployment lifecycle. Finally, in Part III the author illustrates the power of AI-based data science with successful applications in manufacturing and business. He also shows how to introduce this technology in a business setting and guides the reader on how to build the appropriate infrastructure and develop the required skillsets. The book is ideal for data scientists who will implement the proposed methodology and techniques in their projects. It is also intended to help business leaders and entrepreneurs who want to create competitive advantage by using AI-based data science, as well as academics and students looking for an industrial view of this discipline.
Data Science And Artificial Intelligence
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Author : Chutiporn Anutariya
language : en
Publisher: Springer Nature
Release Date : 2023-11-17
Data Science And Artificial Intelligence written by Chutiporn Anutariya and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-17 with Computers categories.
This book constitutes the proceedings of the First International Conference, DSAI 2023, held in Bangkok, Thailand, during November 27–30, 2023. The 22 full papers and the 4 short papers included in this volume were carefully reviewed and selected from 70 submissions. This volume focuses on ideas, methodologies, and cutting-edge research that can drive progress and foster interdisciplinary collaboration in the fields of data science and artificial intelligence.
Novel Ai And Data Science Advancements For Sustainability In The Era Of Covid 19
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Author : Victor Chang
language : en
Publisher: Academic Press
Release Date : 2022-04-05
Novel Ai And Data Science Advancements For Sustainability In The Era Of Covid 19 written by Victor Chang and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-05 with Medical categories.
Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19 discusses how the role of recent technologies applied to health settings can help fight virus outbreaks. Moreover, it provides guidelines on how governments and institutions should prepare and quickly respond to drastic situations using technology to support their communities in order to maintain life and functional as efficiently as possible. The book discusses topics such as AI-driven histopathology analysis for COVID-19 diagnosis, bioinformatics for subtype rational drug design, deep learning-based treatment evaluation and outcome prediction, sensor informatics for monitoring infected patients, and machine learning for tracking and prediction models. In addition, the book presents AI solutions for hospital management during an epidemic or pandemic, along with real-world solutions and case studies of successful measures to support different types of communities. This is a valuable source for medical informaticians, bioinformaticians, clinicians and other healthcare workers and researchers who are interested in learning more on how recently developed technologies can help us fight and minimize the effects of global pandemics. - Discusses AI advancements in predictive and decision modeling and how to design mobile apps to track contagion spread - Presents the smart contract concept in blockchain and cryptography technology to guarantee security and privacy of people's data once their information has been used to fight the pandemic - Encompasses guidelines for emergency preparedness, planning, recovery and continuity management of communities to support people in emergencies like a virus outbreak
Advanced Soft Computing Techniques In Data Science Iot And Cloud Computing
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Author : Sujata Dash
language : en
Publisher: Springer Nature
Release Date : 2021-11-05
Advanced Soft Computing Techniques In Data Science Iot And Cloud Computing written by Sujata Dash and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-05 with Technology & Engineering categories.
This book plays a significant role in improvising human life to a great extent. The new applications of soft computing can be regarded as an emerging field in computer science, automatic control engineering, medicine, biology application, natural environmental engineering, and pattern recognition. Now, the exemplar model for soft computing is human brain. The use of various techniques of soft computing is nowadays successfully implemented in many domestic, commercial, and industrial applications due to the low-cost and very high-performance digital processors and also the decline price of the memory chips. This is the main reason behind the wider expansion of soft computing techniques and its application areas. These computing methods also play a significant role in the design and optimization in diverse engineering disciplines. With the influence and the development of the Internet of things (IoT) concept, the need for using soft computing techniques has become more significant than ever. In general, soft computing methods are closely similar to biological processes than traditional techniques, which are mostly based on formal logical systems, such as sentential logic and predicate logic, or rely heavily on computer-aided numerical analysis. Soft computing techniques are anticipated to complement each other. The aim of these techniques is to accept imprecision, uncertainties, and approximations to get a rapid solution. However, recent advancements in representation soft computing algorithms (fuzzy logic,evolutionary computation, machine learning, and probabilistic reasoning) generate a more intelligent and robust system providing a human interpretable, low-cost, approximate solution. Soft computing-based algorithms have demonstrated great performance to a variety of areas including multimedia retrieval, fault tolerance, system modelling, network architecture, Web semantics, big data analytics, time series, biomedical and health informatics, etc. Soft computing approaches such as genetic programming (GP), support vector machine–firefly algorithm (SVM-FFA), artificial neural network (ANN), and support vector machine–wavelet (SVM–Wavelet) have emerged as powerful computational models. These have also shown significant success in dealing with massive data analysis for large number of applications. All the researchers and practitioners will be highly benefited those who are working in field of computer engineering, medicine, biology application, signal processing, and mechanical engineering. This book is a good collection of state-of-the-art approaches for soft computing-based applications to various engineering fields. It is very beneficial for the new researchers and practitioners working in the field to quickly know the best performing methods. They would be able to compare different approaches and can carry forward their research in the most important area of research which has direct impact on betterment of the human life and health. This book is very useful because there is no book in the market which provides a good collection of state-of-the-art methods of soft computing-based models for multimedia retrieval, fault tolerance, system modelling, network architecture, Web semantics, big data analytics, time series, and biomedical and health informatics.