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Author: Tirath Virdee
Publisher: Lid Publishing
Published: 2022
Total Pages: 0
ISBN-13: 9781912555833
DOWNLOAD EBOOKThis book addresses issues from defining and sizing projects to continuous development, continuous integration and continuous deployment. --
Author: François Candelon
Publisher: Walter de Gruyter GmbH & Co KG
Published: 2022-09-19
Total Pages: 132
ISBN-13: 3110775115
DOWNLOAD EBOOKArtificial intelligence is emerging as a game-changer in the business world, with impacts across all sectors. AI allows business to process massive amounts of data instantaneously, and to scale solutions at almost zero marginal cost, forcing companies to adapt and reimagine their business and operations. The Rise of AI-Powered Companies examines some of the most successful examples of companies using artificial intelligence to their advantage. From AI-enabled countries across the globe that stayed resilient and strong in the face of COVID-19, to Business-to-Consumer businesses that transformed their product development processes thanks to unprecedented amounts of consumer data, increasing their revenues manifold along the way. The book then delves into the critical enablers to becoming AI-powered and the critical steps to activate and integrate them within business organizations. Starting with data strategy, it examines new forms of data sharing and how companies should think about governance and privacy risks. It then focuses on human–AI collaboration and its role in building a stronger team culture. Finally, "Responsible AI" is discussed as well as the impact of AI-powered businesses on society at large. AI-powered companies will become the norm in the years to come. By unpacking and showcasing the major steps of a successful AI transformation, this book will help guide organizations in making the critical leap to become AI-powered—essential to survive and remain competitive in the near future.
Author: Viktor Mayer-Schönberger
Publisher: Univ of California Press
Published: 2022-04-26
Total Pages: 219
ISBN-13: 0520387740
DOWNLOAD EBOOKA powerful and urgent call to action: to improve our lives and our societies, we must demand open access to data for all. Information is power, and the time is now for digital liberation. Access Rules mounts a strong and hopeful argument for how informational tools at present in the hands of a few could instead become empowering machines for everyone. By forcing data-hoarding companies to open access to their data, we can reinvigorate both our economy and our society. Authors Viktor Mayer-Schönberger and Thomas Ramge contend that if we disrupt monopoly power and create a level playing field, digital innovations can emerge to benefit us all. Over the past twenty years, Big Tech has managed to centralize the most relevant data on their servers, as data has become the most important raw material for innovation. However, dominant oligopolists like Facebook, Amazon, and Google, in contrast with their reputation as digital pioneers, are actually slowing down innovation and progress by withholding data for the benefit of their shareholders––at the expense of customers, the economy, and society. As Access Rules compellingly argues, ultimately it is up to us to force information giants, wherever they are located, to open their treasure troves of data to others. In order for us to limit global warming, contain a virus like COVID-19, or successfully fight poverty, everyone—including citizens and scientists, start-ups and established companies, as well as the public sector and NGOs—must have access to data. When everyone has access to the informational riches of the data age, the nature of digital power will change. Information technology will find its way back to its original purpose: empowering all of us to use information so we can thrive as individuals and as societies.
Author: Pratheerth Padman
Publisher: BPB Publications
Published: 2024-02-15
Total Pages: 344
ISBN-13: 9355517033
DOWNLOAD EBOOKTurn raw data into meaningful solutions KEY FEATURES ● Complete guide to master data science basics. ● Practical and hands-on examples in ML, deep learning, and NLP. ● Drive innovation and improve decision making through the power of data. DESCRIPTION Learn Data Science from Scratch equips you with the essential tools and techniques, from Python libraries to machine learning algorithms, to tackle real-world problems and make informed decisions. This book provides a thorough exploration of essential data science concepts, tools, and techniques. Starting with the fundamentals of data science, you will progress through data collection, web scraping, data exploration and visualization, and data cleaning and pre-processing. You will build the required foundation in statistics and probability before diving into machine learning algorithms, deep learning, natural language processing, recommender systems, and data storage systems. With hands-on examples and practical advice, each chapter offers valuable insights and key takeaways, empowering you to master the art of data-driven decision making. By the end of this book, you will be well-equipped with the essential skills and knowledge to navigate the exciting world of data science. You will be able to collect, analyze, and interpret data, build and evaluate machine learning models, and effectively communicate your findings, making you a valuable asset in any data-driven environment. WHAT YOU WILL LEARN ● Master key data science tools like Python, NumPy, Pandas, and more. ● Build a strong foundation in statistics and probability for data analysis. ● Learn and apply machine learning, from regression to deep learning. ● Expertise in NLP and recommender systems for advanced analytics. ● End-to-end data project from data collection to model deployment, with planning and execution. WHO THIS BOOK IS FOR This book is ideal for beginners with a basic understanding of programming, particularly in Python, and a foundational knowledge of mathematics. It is well-suited for aspiring data scientists and analysts. TABLE OF CONTENTS 1. Unraveling the Data Science Universe: An Introduction 2. Essential Python Libraries and Tools for Data Science 3. Statistics and Probability Essentials for Data Science 4. Data Mining Expedition: Web Scraping and Data Collection Techniques 5. Painting with Data: Exploration and Visualization 6. Data Alchemy: Cleaning and Preprocessing Raw Data 7. Machine Learning Magic: An Introduction to Predictive Modeling 8. Exploring Regression: Linear, Logistic, and Advanced Methods 9. Unveiling Patterns with k-Nearest Neighbors and Naïve Bayes 10. Exploring Tree-Based Models: Decision Trees to Gradient Boosting 11. Support Vector Machines: Simplifying Complexity 12. Dimensionality Reduction: From PCA to Advanced Methods 13. Unlocking Unsupervised Learning 14. The Essence of Neural Networks and Deep Learning 15. Word Play: Text Analytics and Natural Language Processing 16. Crafting Recommender Systems 17. Data Storage Mastery: Databases and Efficient Data Management 18. Data Science in Action: A Comprehensive End-to-end Project
Author: N.B. Singh
Publisher: N.B. Singh
Published:
Total Pages: 180
ISBN-13:
DOWNLOAD EBOOK"Forensic Medicine: A Formula Handbook" is a comprehensive guide that distills the complexities of forensic medicine into a concise and accessible format. This handbook serves as an indispensable resource for forensic professionals, medical students, and anyone intrigued by the intersection of medicine and law. Covering key topics such as autopsy procedures, toxicology, and forensic pathology, the book employs a formulaic approach to deliver crucial information swiftly. With clear explanations, practical insights, and a focus on essential formulas and methodologies, this handbook is an invaluable tool for those seeking a quick reference in the intricate field of forensic medicine.
Author: Milkyway Media
Publisher: Milkyway Media
Published: 2024-01-18
Total Pages: 26
ISBN-13:
DOWNLOAD EBOOKGet the Summary of Pedro Domingos's The Master Algorithm in 20 minutes. Please note: This is a summary & not the original book. Algorithms, particularly machine learning, are integral to modern technology, enabling computers to learn from data and improve tasks like web advertising and scientific discovery. Machine learning, which uses statistical approaches, is expanding rapidly, with a significant demand for experts. It has automated processes, driving economic and social change, and has been instrumental in various sectors, including politics and national security...
Author: Valentine Fontama
Publisher: Apress
Published: 2015-08-26
Total Pages: 303
ISBN-13: 1484212002
DOWNLOAD EBOOKPredictive Analytics with Microsoft Azure Machine Learning, Second Edition is a practical tutorial introduction to the field of data science and machine learning, with a focus on building and deploying predictive models. The book provides a thorough overview of the Microsoft Azure Machine Learning service released for general availability on February 18th, 2015 with practical guidance for building recommenders, propensity models, and churn and predictive maintenance models. The authors use task oriented descriptions and concrete end-to-end examples to ensure that the reader can immediately begin using this new service. The book describes all aspects of the service from data ingress to applying machine learning, evaluating the models, and deploying them as web services. Learn how you can quickly build and deploy sophisticated predictive models with the new Azure Machine Learning from Microsoft. What’s New in the Second Edition? Five new chapters have been added with practical detailed coverage of: Python Integration – a new feature announced February 2015 Data preparation and feature selection Data visualization with Power BI Recommendation engines Selling your models on Azure Marketplace
Author: Daniel Faltesek
Publisher: Bloomsbury Publishing USA
Published: 2018-05-17
Total Pages: 278
ISBN-13: 1501319701
DOWNLOAD EBOOKFacebook, Twitter, Snapchat, YouTube, LinkedIn, and dozens of other services have been described as the vanguard of creative destruction across the media industries-disruptors of established business, heroes of a new economic narrative that supposes that the attention of individual users can be measured, managed, manipulated, backing methods that securitized, patented, and litigated attention in ways impossible before. Selling Social Media catalogues the key terms and discourses of the rise of social media firms with a particular emphasis on monetization, securitization, disruption, and litigation. Tensions between ideas and terms are critical, as the ways that different aspects of social media business are described change depending on the audience, scale, and maturity of the firm. These divergent discourses are bound together into a single story of social media, an industry that challenges the theories and descriptions of media that have come before. Through a reading of social media business this book offers a chance to revisit media theory in the context of a new social media companies and products that depend on a different understanding of media audiences, media industries, and public agency.
Author: Youcef Baghdadi
Publisher: Springer Nature
Published: 2020-01-30
Total Pages: 597
ISBN-13: 3030342697
DOWNLOAD EBOOKThis book discusses the impact of information and communication technologies (ICTs) on organizations and on society as a whole. Specifically, it examines how such technologies improve our life and work, making them more inclusive through smart enterprises. The book focuses on how actors understand Industry 4.0 as well as the potential of ICTs to support organizational and societal activities, and how they adopt and adapt these technologies to achieve their goals. Gathering papers from various areas of organizational strategy, such as new business models, competitive strategies and knowledge management, the book covers a number of topics, including how innovative technologies improve the life of the individuals, organizations, and societies; how social media can drive fundamental business changes, as their innovative nature allows for interactive communication between customers and businesses; and how developing countries can use these technologies in an innovative way. It also explores the impact of organizations on society through sustainable development and social responsibility, and how ICTs use social media networks in the process of value co-creation, addressing these issues from both private and public sector perspectives and on national and international levels, mainly in the context of technology innovations.
Author: Witold Abramowicz
Publisher: Springer
Published: 2016-06-27
Total Pages: 453
ISBN-13: 3319394266
DOWNLOAD EBOOKThis book contains the refereed proceedings of the 19th International Conference on Business Information Systems, BIS 2016, held in Leipzig, Germany, in July 2016. The BIS conference series follows trends in academia and business research; thus the theme of the BIS 2016 conference was Smart Business Ecosystems". This recognizes that no business is an island and competition is increasingly taking place between business networks and no longer between individual companies. A variety of aspects is relevant for designing and understanding smart business ecosystems. They reach from new business models, value chains and processes to all aspects of analytical, social and enterprise applications and platforms as well as cyber-physical infrastructures. The 33 full and 1 short papers were carefully reviewed and selected from 87 submissions. They are grouped into sections on ecosystems; big and smart data; smart infrastructures; process management; business and enterprise modeling; service science; social media; and applications.
