McGraw-Hill Education, 2019. — 329 p. — ISBN: 978-1-26-045278-5. Use machine learning to understand your customers, frame decisions, and drive value Spreadsheet models and pivot tables were once the cutting-edge tools of business analysis. But the Big Data revolution has changed everything. Tasks that once required armies of business analysts are being automated and scaled with...
Wiley, 2018. — 393 p. — ISBN: 978-1-119-48208-9. Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Readers will learn how...
Alan R. Simon, Allen G. Taylor, Jack A. Hyman, John Paul Mueller, Jonathan Reichental, Joseph Schmuller, Lillian Pierson, Luca Massaron, Paul McFedries. — John Wiley & Sons, 2024. — 832 p. — (For Dummies). — ISBN-13: 978-1394244096. Install data analytics into your brain with this comprehensive introduction Data Analytics & Visualization All-in-One For Dummies collects the...
Pearson, 2020. — 360 p. — ISBN: 9780135258521. Use Product Analytics to Understand Consumer Behavior and Change It at Scale. Product Analytics is a complete, hands-on guide to generating actionable business insights from customer data. Experienced data scientist and enterprise manager Joanne Rodrigues introduces practical statistical techniques for determining why things happen...
SAGE Publications, Inc., 2021. — 424 p. — ISBN: 978-1-5443-7045-3. Data Science for Business with R, written by Jeffrey S. Saltz and Jeffrey M. Stanton, focuses on the concepts foundational for students starting a business analytics or data science degree program. To keep the book practical and applied, the authors feature a running case using a global airline business’s...
Stokes-Hamilton, 2020. — 164 p. — ISBN: 978-1085827836. Used in universities and biz schools in Finland, Barcelona, USA, Korea, Canada and the Middle East; and in executive trainings of companies like Halliburton TX, Agilent and PropertyFinder, this book will help you to transform data into not just information, but valuable knowledge. In this book, you will learn by example...
2020. — 164 p. Artificial Intelligence is no longer the stuff of science fiction. Half a century of research has resulted in machines capable of beating the best human chess players, and humanoid robots which are able to walk and interact with us. But how similar is this 'intelligence' to our own? Can machines really think? Is the mind just a complicated computer program?...
O’Reilly Media, Inc., 2022. — 250 p. — ISBN 978-1-098-10293-7. To succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math you'll need in data science, including probability, statistics, hypothesis testing, linear algebra, machine learning, and calculus. Practical examples with...
3rd Edition. — McGraw-Hill Education, 2023. — 640 p. — ISBN 978-1-265-09445-4. Data Analytics is changing the business world―data simply surrounds us, which means all accountants must develop data analytic skills to address the needs of the profession in the future. Data Analytics for Accounting 3e is designed to prepare your students with the necessary tools and skills they...
Пер. с англ. А. Гаврилов. — Астана: Спринт Бук, 2025. — 352 с.: ил. — ISBN 978-601-08-4357-8. Освойте математический аппарат, который необходим, чтобы преуспеть в сфере Data Science, машинного обучения и статистики. Автор книги Томас Нилд поможет вам разобраться в таких дисциплинах, как математический анализ, теория вероятностей, линейная алгебра и статистика, и научиться...
Packt Publishing, 2019. — 420 p. — ASIN B07LCNZPDX. Explore new and more sophisticated tools that reduce your marketing analytics efforts and give you precise results Key Features Study new techniques for marketing analytics Explore uses of machine learning to power your marketing analyses Work through each stage of data analytics with the help of multiple examples and...
Isaac D. Cody, 2016. — 262 p. — ISBN: 1541333306. This is a 3 book bundle related to data analytics and hacking computers and hacking mobile devices, apps, and game consoles! What's included in this 3 book bundle manuscript: Data Analytics: Practical Data Analysis and Statistical Guide to Transform and Evolve Any Business, Leveraging the power of Data Analytics, Data Science,...
CreateSpace Independent Publishing, 2015. — 256 p. — ISBN13: 978-1514750971. Is this you? Have you heard about the craze and buzz of data today, but don’t know what’s it’s all about, or what’s in it for you? Are you currently cash strapped and wish your situation was different. Do you constantly check your bank account every day, hoping you had a career that paid a little more?...
Packt Publishing, 2017. — 327 p. — ISBN: 978-1785886188. True PDF Key Features A unique book that focuses on developing practical skills to make informed business decisions using predictive analytics Apply the principles and techniques of predictive analytics to effectively interpret big data Solve real-world analytical problems with the help of practical case studies and...
Orange Education Pvt Ltd, AVA., December 2023. — 503 р. — ISBN: 978-81-19416-44-8. Practical Approaches to Time Series Analysis and Forecasting using Python for Informed Decision-Making. Book Description: This book covers various aspects of Time Series Analysis and Forecasting using the Python language, emphasizing the importance of time series analysis from an industry...
2nd ed. — CRC Press, 2016. — 512 p. — (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series). — ISBN: 1498763979. Data Mining: A Tutorial-Based Primer, Second Edition provides a comprehensive introduction to data mining with a focus on model building and testing, as well as on interpreting and validating results. The text guides students to understand how data mining...
O’Reilly Media, 2020-08-19. — 306 p. — ISBN: 978-1-492-05427-6. What value does semantic data modeling offer? As an information architect or data science professional, let’s say you have an abundance of the right data and the technology to extract business gold—but you still fail. The reason? Bad data semantics. In this practical and comprehensive field guide, author Panos...
O’Reilly Media, Inc., 2025. — 350 p. — ISBN-13: 978-1-098-16683-0. Data engineers proficient in Databricks are currently in high demand. As organizations gather more data than ever before, skilled data engineers on platforms like Databricks become critical to business success. The Databricks Data Engineer Associate certification is proof that you have a complete understanding...
IPSpecialist, 2023. — 896 р. Master the AWS certified data analytics specialty exam of AWS in 7 days! This thorough study guide will assist you in evaluating your technical abilities and preparing for the new AWS Certified Data Analytics test. This AWS certification validates your ability to build and implement AWS services to extract value from data. Business analysts and IT...
Amazon Media, 2020. — 114 p. As a new data scientist, you'd find it easy to use it because of its simple syntax, excellent readability and its increased availability of mining tools that make it easy to handle data. But how would you get started with it? How do you work with it? How do you set it up? If you still have such questions, then this book is all you need. It gives you...
Facet Publishing, 2023. — 142 p. — ISBN 978-1-78330-618-3. Данные Halo: понимание и использование ценности ваших данных The past two decades have seen an explosion both in the volume of data we use, and our understanding of its management. However, while techniques and technology for manipulating data have advanced rapidly in this time, the concepts around the value of our data...
Springer, 2020. — 441 p. — (International Series in Operations Research & Management Science Book 290). — ISBN: 978-3-030-43384-0 (eBook). Наука данных и Аналитика Производительности This book includes a spectrum of concepts, such as performance, productivity, operations research, econometrics, and data science, for the practically and theoretically important areas of...
Manning Publications, 2016. — 320 p. — ISBN: 978-1633430037. Many companies need developers with data science skills to work on projects ranging from social media marketing to machine learning. Discovering what you need to learn to begin a career as a data scientist can seem bewildering. This book is designed to help you get started. Introducing Data ScienceIntroducing Data...
John Wiley & Sons, Inc., 2015. — 362 p. — ISBN: 978-1-118-83793-1 (ebk). Construct a robust end-to-end solution for analyzing and visualizing streaming data Real-time analytics is the hottest topic in data analytics today. In Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data, expert Byron Ellis teaches data analysts technologies to build an effective...
Springer, 2020. — 384 p. — ISBN: 978-3-030-46161-4. The collection and analysis of data play an important role in many fields of science and technology, such as computational biology, quantitative finance, information engineering, machine learning, neuroscience, medicine, and the social sciences. Especially in the era of big data, researchers can easily collect data characterised...
Mercury Learning and Information, 2023. — 272 р. — ISBN: 978-1-68392675-7. With many recent advances in data science, we have many more tools and techniques available for data analysts to extract information from data sets. This book aims to assist data analysts to move up from simple tools such as Excel for descriptive analytics to answer more sophisticated questions using...
Jones & Bartlett Learning, 2021. — 668 p. — ISBN: 978-1284180909. Data Mining and Analytics provides a broad and interactive overview of a rapidly growing field. The exponentially increasing rate at which data is generated creates a corresponding need for professionals who can effectively handle its storage, analysis, and translation. With a dual focus on concepts and...
Dirk P. Kroese, Zdravko I. Botev, Thomas Taimre, Radislav Vaisman. — CRC Press, 2019. — 536 p. — ISBN13: 978-1-138-49253-0. “This textbook is a well-rounded, rigorous, and informative work presenting the mathematics behind modern machine learning techniques. It hits all the right notes: the choice of topics is up-to-date and perfect for a course on data science for mathematics...
Outskirts Press, 2024. — 224 р. — ISBN-13: 978-1977275912. In today's fast-paced tech landscape, small businesses must stay competitive while managing complex processes. The Small Business Leader's Guide to AI is your essential resource for understanding and applying artificial intelligence to drive growth and efficiency. This guide simplifies AI concepts into actionable...
Packt Publishing, 2019. — 78 p. — ISBN: 978-1-83898-529-5. Take the strategic and systematic approach to analyze data to solve business problems We offer you Packt Select – a new, selective range of books on unique topics. We have identified and acquired these books and made it available to you through our brand. These books provides a smooth learning experience using real-world...
BPB Publications, 2023. — 254 p. —ISBN: 978-93-5551-159-1. 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...
Data Analytics Curriculum, 2024. — 180 p. — ASIN: B0DCKQVNMY. Data Mining is now a critical part of society and everyday work in the age of AI. It is important for every educated citizen to understand how data mining works. This book provides a simple yet solid conceptual understanding of data mining including: Definition and history of data mining Data mining process...
Wiley, 2014. — 240 p. — ISBN: 9781118794388, ASIN 1118794389. The era of Big Data as arrived, and most organizations are woefully unprepared. Slowly, many are discovering that stalwarts like Excel spreadsheets, KPIs, standard reports, and even traditional business intelligence tools aren't sufficient. These old standbys can't begin to handle today's increasing streams, volumes,...
CRC Press, 2025. — 253 p. — ISBN: 978-1032542355. This book discusses the fundamentals of wireless sensor networks,and the prevailing method and trends of smart sensor applications. It presents analytical modelling to foster the understanding of network challenges in developing protocols for next-generation communication standards. Metaheuristic algorithms are optimization...
Anthony So, Thomas V. Joseph, Robert Thas John, Andrew Worsley, Dr. Samuel Asare. — Packt Publishing, 2020. — 753 p. — ISBN: 978-1-83898-126-6. Cut through the noise and get real results with a step-by-step approach to data science You already know you want to learn data science, and a smarter way to learn data science is to learn by doing. The Data Science Workshop focuses on...
Springer, 2021. — 671 p. — ISBN 978-3-030-62582-5 (eBook). This book is focused on the use of deep learning (DL) and artificial intelligence (AI) as tools to advance the fields of malware detection and analysis. The individual chapters of the book deal with a wide variety of state-of-the-art AI and DL techniques, which are applied to a number of challenging malware-related...
Vibrant Publishers, 2024. — 218 p. — (Self-Learning Management Series). — ISBN 13: 978-1-63651-119-1. Data Analytics Essentials You Always Wanted To Know is an approachable and captivating guide to understand the complicated world of data From raw data to actionable insights – journey through the essentials of data analytics. Data analytics is becoming increasingly important in...
Manning Publications Co., 2025. — 256 p. — ISBN-13: 978-1633437647. Speed up common data science tasks with AI assistants like ChatGPT and Large Language Models (LLMs) from Anthropic, Cohere, AI21, Hugging Face, and more! Using ChatGPT and other AI-powered tools, you can analyze almost any kind of data with just a few short lines of plain English. In Data Analysis with LLMs,...
IGI Global, 2023. — 2500 p. — ISBN 978-1799892205. Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big...
O’Reilly Media, 2024. — 107 p. — ISBN 9781098160357. Data virtualization had been held back by complexity for decades until recent advances in cloud technology, data lakes, networking hardware, and machine learning transformed the dream into reality. It's becoming increasingly practical to access data through an interface that hides low-level details about where it's stored,...
Independently published, 2024. — 305 р. — ISBN 979-8326047427, ASIN B0D4K82P8L, B0D4K1PK8F. In the fast-paced digital age, the ability to harness real-time data and analytics can significantly enhance decision-making processes and elevate user engagement. "Real-Time Data and Analytics: Enhancing Decision-Making and User Engagement" is a comprehensive guide that delves into the...
O’Reilly Media, 2020. — 120 p. — ISBN: 978-1-492-05427-6. Perhaps you’re an information architect on a mission to make your organization’s data more understandable and usable across applications. Or a knowledge engineer working to infuse domain knowledge into the next Alexa or Siri. Or a machine learning expert having difficulty obtaining the right data for your models. If you...
O’Reilly Media, Inc., 2024. — 391 p. — ISBN-13: 978-1-098-13686-4. The surging predictive analytics market is expected to grow from $10.5 billion today to $28 billion by 2026. With the rise in automation across industries, the increase in data-driven decision-making, and the proliferation of IoT devices, predictive analytics has become an operational necessity in today's...
O’Reilly Media, 2023. — 137 р. — ISBN-13: 978-1-098-14385-5. Data has been a missing part of most academic curriculums for a long time, and we’re all being affected. During challenging times, creating a data-informed culture can help you pivot quickly or prevent expensive missteps. Developing a data curious organization will take advantage of the burgeoning data resources...
NYU Press, September 1, 2003. — 202 р. — (Qualitative Studies in Psychology). — ISBN-13: 978-0814706954. Qualitative Data is meant for the novice researcher who needs guidance on what specifically to do when faced with a sea of information. It takes readers through the qualitative research process, beginning with an examination of the basic philosophy of qualitative research,...
De Gruyter, 2025. — 149 p. — ISBN: 978-3-11-148937-7. This book examines how participants in governance and public affairs use data and information in defining public problems and their solutions. It is based on 18 in depth interviews with various kinds of participants in the public realm in Canada and the UK, from legislators, interest group representatives, journalists and...
2nd Edition. — Berthold Michael R., Christian Borgelt, Frank Höppner, Frank Klawonn, Rosaria Silipo. — Springer, 2020. — 433 p. — (Texts in Computer Science). — ISBN: 978-3-030-45574-3 (eBook). Making use of data is not anymore a niche project but central to almost every project. With access to massive compute resources and vast amounts of data, it seems at least in principle...
4th Edition. — Springer, 2020. — 576 p. — Undergraduate Topics in Computer Science — ISBN: 978-1-4471-7493-6 (eBook). This book explains and explores the principal techniques of Data Mining, the automatic extraction of implicit and potentially useful information from data, which is increasingly used in commercial, scientific and other application areas. It focuses on...
CRC Press, 2023. — 249 p. — ISBN: 978-1-003-26324-1. An Introduction to R and Python for Data Analysis helps teach students to code in both R and Python simultaneously. As both R and Python can be used in similar manners, it is useful and efficient to learn both at the same time , helping lecturers and students to teach and learn more, save time, whilst reinforcing the shared...
Wiley, 2024. — 384 p. — ISBN-13: 978-1394253807. Introductory statistics textbook with a focus on data science topics such as prediction, correlation, and data exploration Statistics for Data Science and Analytics is a comprehensive guide to statistical analysis using Python, presenting important topics useful for data science such as prediction, correlation, and data...
CRC Press, 2020. — 308 p. — ISBN: 978-0-429-34398-8 (ebk). It’s All Analytics! The Foundations of AI, Big Data and Data Science Landscape for Professionals in Healthcare, Business, and Government (978-0-367-35968-3, 325690) Professionals are challenged each day by a changing landscape of technology and terminology. In recent history, especially in the last 25 years, there has...
Winton Clem, 2024. — 87 p. — ASIN: B0D64KW2HH. Embark on a journey to master the art and science of data with "Data Analysis and Data Science." This comprehensive guide equips you with the knowledge and skills to extract meaningful insights from data, drive informed decision-making, and fuel innovation in your field. Combining theoretical foundations with practical...
McGraw-Hill, 2023. — 235 р. — ISBN: 978-1-26-428541-9. When managing massive amounts of information is part of your job and daily life, how do you transform a feeling of being overwhelmed into a sense of abundance and empowerment? This groundbreaking guide delivers the practical insights and strategies you need to build a positive relationship with information and excel at work...
Manning Publications, 2025. — 392 p. — ISBN-13: 978-1633439658. Причинно-следственный вывод для науки о данных When you know the cause of an event, you can affect its outcome. This accessible introduction to causal inference shows you how to determine causality and estimate effects using statistics and machine learning. A/B tests or randomized controlled trials are expensive...
Packt, 2020. — 350 p. — ISBN: 9781789538465. Develop robust AI applications with TensorFlow, Cloud AutoML, TPUs, and other GCP services. Learn Understand the basics of cloud computing and explore GCP components Work with the data ingestion and preprocessing techniques in GCP for machine learning Implement machine learning algorithms with Google Cloud AutoML Optimize TensorFlow...
2nd Edition. — Packt Publishing, 2020. — 454 p. — ISBN: 978-1-83898-148-8. Cut through the noise and get real results with a step-by-step approach to learning data visualization with Python You already know you want to learn data visualization with Python, and a smarter way to learn is to learn by doing. The Data Visualization Workshop focuses on building up your practical...
Packt Publishing, 2020. — 369 p. — ISBN: 978-1-83882-632-1. Understand the concepts and methodologies to manage and deliver top-notch data science solutions for your organization Data Science and Machine Learning can transform any organization and open new opportunities. A substantial managerial effort is needed to guide the solution from prototype development to production....
O’Reilly Media, 2024. — 257 p. — ISBN-13: 978-1098154837. Real-time applications are becoming the norm today. But building a model that works properly requires real-time data from the source, in-flight stream processing, and low latency serving of its analytics. With this practical book, data engineers, data architects, and data analysts will learn how to use streaming...
Luiz Paulo Favero, Patrícia Belfiore, Rafael de Freitas Souza. — Academic Press/Elsevier, 2023. — 662 p. — ISBN: 978-0-12-824271-1. Data Science, Analytics and Machine Learning with R explains the principles of data mining and Machine Learning techniques and accentuates the importance of applied and multivariate modeling. The book emphasizes the fundamentals of each technique,...
2nd Edition. — Packt Publishing Ltd., 2020. — 350 p. — ISBN: 978-1-80020-250-4. Designed with beginners in mind, this workshop helps you make the most of Python libraries and the Jupyter Notebook’s functionality to understand how data science can be applied to solve real-world data problems. From banking and manufacturing through to education and entertainment, using data...
2nd Edition. —John Wiley & Sons Australia, Ltd., 2024. — 448 p. — ISBN: 978-1-119-93139-3. A straightforward and engaging approach to data science that skips the jargon and focuses on the essentials In the newly revised second edition of Data Smart: Using Data Science to Transform Information into Insight, accomplished data scientist and speaker Jordan Goldmeier delivers an...
Apress Media, LLC, 2025. — 549 p. — ISBN-13: 979-8-8688-1183-8. Ensuring data usability is paramount to unlocking a company’s full potential and driving informed decision-making. Part of author Saurav Bhattacharya’s trilogy that covers the essential pillars of digital ecosystems―security, reliability, and usability―this book offers a comprehensive exploration of the fundamental...
Deepak Gupta, Siddhartha Bhattacharyya, Ashish Khanna, Kalpna Sagar. — John Wiley & Sons Ltd, 2020. — 432 p. — (Intelligent Signal and Data Processing). — ISBN: 978-1-119-54446-3. This book focuses on methods and tools for intelligent data analysis, aimed at narrowing the increasing gap between data gathering and data comprehension, and emphasis will also be given to solving of...
Lora Oehlberg, Samuel Huron, Till Nagel, Wesley Willett. — A K Peters/CRC Press, 2022. — 392 p. — ISBN-13: 978-1032182223. Making With Data: Physical Design and Craft in a Data-Driven World provides a snapshot of the practices used by contemporary designers, researchers, and artists who are creating objects, spaces, and experiences imbued with data. Creators of physical...
Chapman and Hall/CRC, 2019-11-08. — 713 p. — ISBN-13: 978-0-367-35798-6. Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills...
Manning Publications, 2025. — 416 p. — ISBN-13: 978-1633438415. Learn the technical and soft skills you need to succeed in your career as a data analyst. You’ve learned how to use Python, R, SQL, and the statistical skills needed to get started as a data analyst—so, what’s next? Effective Data Analysis bridges the gap between foundational skills and real-world application. This...
Packt Publishing, 2019. — 315 p. — ISBN: 978-1-83855-102-5. Gain hands-on experience with industry-standard data analysis and machine learning tools in Python Data Science Projects with Python is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The book will help you understand how you...
BPB Publications, 2024. — 215 р. — ISBN: 978-93-55517-340. Unveiling insights, unleashing potential: Navigating the depths of data warehousing and mining for a data-driven tomorrow Key Features ● Explore concepts ranging from fundamentals to advanced techniques of data warehouses and data mining. ● Translate business questions into actionable strategies to make informed...
Orange Education Pvt Ltd., 2024. — 526 p. — ISBN-13: 978-81-96862-01-5. Master Databricks to Transform Data into Strategic Insights for Tomorrow’s Business Challenges Book Description In today’s data-driven world, mastering data engineering is crucial for driving innovation and delivering real business impact. Databricks is one of the most powerful platforms which unifies data,...
Packt Publishing, 2018. — 468 p. — ISBN: 978-1-78913-940-2. A hands-on guide for professionals to perform various data science tasks in R R is the most widely used programming language, and when used in association with data science, this powerful combination will solve the complexities involved with unstructured datasets in the real world. This book covers the entire data...
CRC Press, 2020. — 266 p. — ISBN: 978-1-003-01985-5. Analytics and artificial intelligence (AI), what are they good for? The bandwagon keeps answering, absolutely everything! Analytics and artificial intelligence have captured the attention of everyone from top executives to the person in the street. While these disciplines have a relatively long history, within the last ten or...
Elsevier, 2023. — 300 р. — ISBN: 978-0-323-99562-7. Integrated Human-Machine Intelligence: Beyond Artificial Intelligence focuses on deep situational awareness in human-computer integration, covering the interaction and integration mechanisms of human intelligence, machine intelligence and environmental systems. The book also details the cognitive, philosophical, social,...
John Wiley & Sons, Inc., 2025. — 304 p. — ISBN 978-1-394-29263-9. Practical guide to effectively communicate financial data, ideas, and insights to executives Communicating Financials to Executives delivers indispensable insights on how to clearly, effectively and productively communicate financials to executives across industries in an influential manner. In this book, finance...
Packt Publishing, 2019. — 352 p. — ISBN: 978-1-78980-735-6. Take your first steps to become a fully qualified data analyst by learning how to explore large relational datasets. Understanding and finding patterns in data has become one of the most important ways to improve business decisions. If you know the basics of SQL, but don’t know how to use it to gain business insights from...
Morgan Kaufmann, 2007. — 496 p. — ISBN: 978-0123704801, 0123704804. 3rd Edition. Traditionally, networking has had little or no basis in analysis or architectural development, with designers relying on technologies they are most familiar with or being influenced by vendors or consultants. However, the landscape of networking has changed so that network services have now become...
CRC Press, 2019. — 343 p. — ISBN13: 978-0-429-26379-8. The aim of this book is to provide an internationally respected collection of scientific research methods, technologies and applications in the area of data science. This book can prove useful to the researchers, professors, research students and practitioners as it reports novel research work on challenging topics in the...
O’Reilly Media, 2024. — 241 p. — ISBN-13: 978-1-098-14882-9. If you haven't modernized your data cleaning and reporting processes in Microsoft Excel, you're missing out on big productivity gains. And if you're looking to conduct rigorous data analysis, more can be done in Excel than you think. This practical book serves as an introduction to the modern Excel suite of features...
2nd Edition. — Packt Publishing, 2018. — 207 p. — ISBN: 978-1-78980-607-6. Build a strong foundation of machine learning algorithms in 7 days Machine learning applications are highly automated and self-modifying, and continue to improve over time with minimal human intervention, as they learn from the trained data. To address the complex nature of various real-world data...
Apress Media LLC, 2023. — 222 p. — ISBN-13: 978-1-4842-9735-3. Практическая реализация озера данных: преобразование ожиданий клиентов в осязаемые технические цели This book explains how to implement a data lake strategy, covering the technical and business challenges architects commonly face. It also illustrates how and why client requirements should drive architectural...
John Wiley & Sons, Inc., 2024. — 352 р. — ISBN-13: 978-1394251957. Unlock predictable bottom line growth through tailored data and AI strategies. In The Data & AI Imperative: Designing Strategies for Exponential Growth, celebrated data-driven growth leader, Lillian Pierson, delivers a masterclass in developing custom strategies to harness the full potential of data and AI...
John Wiley & Sons, Inc., 2025. — 195 p. — ISBN 978-1-394-29702-3. Feel confident navigating the fundamentals of Data Science. Data Science Essentials For Dummies is a quick reference on the core concepts of the exploding and in-demand Data Science field, which involves data collection and working on dataset cleaning, processing, and visualization. This direct and accessible...
SAS Institute Inc., 2021. — 230 p. — ISBN 978-1-953329-60-8. Boost your understanding of data science techniques to solve real-world problems Data science is an exciting, interdisciplinary field that extracts insights from data to solve business problems. This book introduces common data science techniques and methods and shows you how to apply them in real-world case studies....
O’Reilly Media, Inc., 2023. — 247 p. — ISBN 978-1-098-13965-0. Справочник по анализу решений: практические шаги для принятия решений на основе фактических данных в сложном мире Decision Intelligence (DI) has been widely named as a top technology trend for several years, and the Gartner Group reports that more than a third of large organizations are adopting it. Some even say...
Manning Publication, 2019. — 177 p. — ISBN13: 978-1617296246. Build a Career in Data Science is your guide to getting your first data science job, then quickly becoming a senior employee. Industry experts Jacqueline Nolis and Emily Robinson lay out the soft skills you’ll need alongside your technical know-how in order to succeed in the field. Following their clear and simple...
Rudolf Mathar, Gholamreza Alirezaei, Emilio Balda, Arash Behboodi. — Springer, 2020. — 130 p. — ISBN: 978-3-030-56831-3 (eBook). This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail and extensively applied to dimensionality reduction by principal component analysis and multidimensional scaling....
Wiley-ISTE, 2024. — 243 р. — ISBN-13: 978-1-78630-978-5. Data analytics is a crucial process in today’s data-driven world. It involves collecting, cleaning, transforming and analyzing data to uncover useful information, insights, trends and patterns which inform business strategy, decision-making and process optimization. Traditionally, data analytics was a manual process...
O’Reilly Media, Inc., 2023. — 66 p. — (Third Early Release). — 978-1-098-14587-3. Автоматизация мониторинга качества данных в масштабе: глубже, чем наблюдаемость данных The world's businesses ingest a combined 2.5 quintillion bytes of data every day. But how much of this vast amount of data--used to build products, power AI systems, and drive business decisions--is poor quality...
O’Reilly Media, Inc., 2024. — 170 р. — ISBN: 978-1-098-14593-4. The world's businesses ingest a combined 2.5 quintillion bytes of data every day. But how much of this vast amount of data—used to build products, power AI systems, and drive business decisions—is poor quality or just plain bad? This practical book shows you how to ensure that the data your organization relies on...
Business Expert Press, 2023. — 151 p. — ISBN-13: 978-1637425008. 5G and related digital revolutions will require tens of thousands of edge data centers. This book tells you how they work and how to get them built. We are in the middle of the edge computing revolution. Responding to demand for lower latency, telcos and others are moving servers and storage closer to end...
Packt Publishing Ltd., 2020. — 395 p. — ISBN: 978-1-80020-316-7. Master the skills necessary to hire and manage a team of highly skilled individuals to design, build, and implement applications and systems based on advanced analytics and AI In Building Analytics Teams, John K. Thompson, with his 30+ years of experience and expertise, illustrates the fundamental concepts of...
CRC Press, 2020. — 362 p. — ISBN13: 978-1-4987-5398-2. In the age of big data, being able to make sense of data is an important key to success. Interactive Visual Data Analysis advocates the synthesis of visualization, interaction, and automatic computation to facilitate insight generation and knowledge crystallization from large and complex data. The book provides a systematic...
Manning Publications Co., 2019. — 246 p. — ISBN13: 978-1617296062. Zero to AI teaches business leaders, entrepreneurs, and decision makers how to improve the success and efficiency of their businesses by taking advantage of state-of-the-art AI technologies. After a brief introduction to artificial intelligence, you’ll explore examples that demonstrate how you can use AI for...
IVY Press, 2020. — 160 p. — ISBN: 978-0711259669. 30-Second Data Science is the quickest way to discover how data is a driving force not just in the big issues, such as climate change and healthcare, but in our daily lives. Data science is an entirely new discipline that encompasses a new era of information, from finding criminals to predicting epidemics. But there’s more to it...
Donny Wals, 2023. — 373 р. Learn Core Data from the ground up using new and modern techniques. This book has a total of 12 chapters designed to help you master Core Data from the basics all the way to the interesting and complex details. Sample code for this book is provided in SwiftUI and UIKit so it's as useful as possible no matter which UI framework you prefer.
Xiaofei Wang, Yiwen Han, Victor C. M. Leung, Dusit Niyato, Xueqiang Yan, Xu Chen. — Springer, 2020. — 166 p. — ISBN: 978-981-15-6186-3 (eBook). As an important enabler for changing people’s lives, advances in artificial intelligence (AI)-based applications and services are on the rise, despite being hindered by efficiency and latency issues. By focusing on deep learning as the...
Yang Wang, Zhidong Li, Bin Liang, Hongda Tian , Ting Guo, Fang Chen. — CRC Press, 2025. — 188 p. — ISBN: 978-1-003-47389-3. This book presents, for the first time, data analytics for smart infrastructures. The authors draw on over a decade’s experience working with industry and demonstrating the capabilities of data analytics for infrastructure and asset management. The volume...
CRC Press, 2025. — 206 p. — ISBN: 978-1-003-43761-1. The rise of cloud computing and Generative artificial intelligence (AI) has revolutionized data analytics pipelines. Analysts can collect, store, and process vast datasets in the cloud with high availability and scalability, and also leverage Generative AI to query and visualize datasets in natural languages. This pioneering...
Packt, 2020. - 322p. - ISBN: 9781838826031 Understand data analysis concepts to make accurate decisions based on data using Python programming and Jupyter Notebook Key Features Find out how to use Python code to extract insights from data using real-world examples Work with structured data and free text sources to answer questions and add value using data Perform data analysis...
Chapman and Hall/CRC, 2022. — 394 p. — ISBN: 978-1-003-02854-3. Artificial Intelligence and Causal Inference address the recent development of relationships between artificial intelligence (AI) and causal inference. Despite significant progress in AI, a great challenge in AI development we are still facing is to understand mechanism underlying intelligence, including reasoning,...
Springer, 2020. — 291 p. — ISBN: 978-3-030-48997-7 (eBook). This textbook offers an easy-to-follow, practical guide to modern data analysis using the programming language R. The chapters cover topics such as the fundamentals of programming in R, data collection and preprocessing, including web scraping, data visualization, and statistical methods, including multivariate...
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