![]() |
Free Ebooks DownloadWelcome to DL4ALL.org – your ultimate destination for ebooks across every genre. Whether you’re into fiction, self-help, education, or niche topics, we offer an extensive library to satisfy your thirst for knowledge and entertainment. Why Choose DL4ALL.org?
Start your reading journey today on DL4ALL.org and unlock a world of imagination, knowledge, and inspiration! ![]() English | 2021 | ISBN: 0367536536 | 345 pages | pdf | 13.9 MB This book explores how data about our everyday online behaviour are collected and how they are processed in various ways by algorithms powered by Artificial Intelligence (AI) and Machine Learning (ML). The book investigates the socioeconomic effects of these technologies, and the evolving regulatory landscape that is aiming to nurture the positive effects of these technology evolutions while at the same time curbing possible negative practices. The volume scrutinizes growing concerns on how algorithmic decisions can sometimes be biased and discriminative; how autonomous systems can possibly disrupt and impact the labour markets, resulting in job losses in several traditional sectors while creating unprecedented opportunities in others; the rapid evolution of social media that can be addictive at times resulting in associated mental health issues; and the way digital Identities are evolving around the world and their impact on provisioning of government services. The book also provides an in-depth understanding of regulations around the world to protect privacy of data subjects in the online world; a glimpse of how data is used as a digital public good in combating Covid pandemic; and how ethical standards in autonomous systems are evolving in the digital world. ![]() English | 2021 | ISBN: 1398603260 | 441 pages | True PDF EPUB | 37.66 MB Understand how to drive business performance with your organizational data and analytics in the second edition ofData-Driven Organization Design. ![]() English | 2021 | ISBN: B09J48ZTMK | 37 pages | pdf, epub | 5.25 MB This book is a perfect guide for people who are interested to work in data science field or who are already working in this field. Every data scientist has to work with data and data are available in various formats. Most of the time that a data scientist spends is on data preperation. This includes data cleaning and visualization. ![]() English | 2021 | ISBN: 1398602582 , 1398602604 | 273 pages | True PDF EPUB | 4.32 MB BRONZE RUNNER UP: Axiom Awards 2018 - Business Technology Category (1st edition) ![]() English | 2021 | ISBN: 1119674689, 978-1119674689 | 403 pages | True PDF EPUB | 4.89 MB DATA SCIENCE IN THEORY AND PRACTICEEXPLORE THE FOUNDATIONS OF DATA SCIENCE WITH THIS INSIGHTFUL NEW RESOURCE ![]() English | 2022 | ISBN: 978-1484277614 | 128 pages | pdf, epub | 9.15 MB Apply supervised and unsupervised learning to solve practical and real-world big data problems. This book teaches you how to engineer features, optimize hyperparameters, train and test models, develop pipelines, and automate the machine learning (ML) process. ![]() English | 2021 | ISBN: 1617296252 , 978-1617296253 | 706 pages | True PDF | 42.41 MB Learn data science with Python by building five real-world projects! Experiment with card game predictions, tracking disease outbreaks, and more, as you build a flexible and intuitive understanding of data science. ![]() English | 2021 | ISBN: 1780174365 | 260 pages | True EPUB | 5.53 MB Since the role of Data Protection Officer (DPO) was designated under EU GDPR in 2018, the understanding of what the DPO role entails and how DPOs solve problems day-to-day continues to grow. ![]() English | 2021 | ISBN: 191268585X | 366 pages | True EPUB | 1.76 MB How EU data practices establish and assign people to categories, and how this matters in enacting-"making up"-Europe as a population and people. ![]() English | 2021 | ISBN: 1801077746 | 480 pages | True PDF EPUB | 51.79 MB Understand the complexities of modern-day data engineering platforms and explore strategies to deal with them with the help of use case scenarios led by an industry expert in big data |