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Showing 1 - 12 of 12 results for “daniel kifer”
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  • Handbook of Sharing Confidential Data

    Differential Privacy, Secure Multiparty Computation, and Synthetic Data

    Edited by Jörg Drechsler, Daniel Kifer, Jerome Reiter, Aleksandra Slavković ...
    Series series Chapman & Hall/CRC Handbooks of Modern Statistical Methods
    Statistical agencies, research organizations, companies, and other data stewards that seek to share data with the public face a challenging dilemma. They need to protect the privacy and confidentiality of data subjects and their attributes while providing data products that are useful for their intended purposes. In an age when information on data subjects is available from a wide range of data ... Read more

    $233.99 USD

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  • Data Science for Economics and Finance

    Methodologies and Applications

    Edited by Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana ...
    Series series Computer Science (R0)
    This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in ... Read more

    Free

  • Machine Learning: Concepts, Methodologies, Tools and Applications

    Edited by Information Resources Management Association ...
    Statistics, psychology, and computer science are major influences in machine learning research. This exciting interdisciplinary science is a crucial component in many cutting-edge systems and business processes. Innovations in machine learning stand to change financial markets and uncover mysteries inherent in human learning. Machine Learning: Concepts, Methodologies, Tools, and Applications ... Read more

    $1,579.49 USD

    PRE-ORDER

  • Machine Learning

    Master Supervised and Unsupervised Learning Algorithms with Real Examples (English Edition)

    by Dr Ruchi Doshi, Dr Kamal Kant Hiran, Ritesh Kumar Jain, Dr Kamlesh Lakhwani ...
    The book offers the readers the fundamental concepts of Machine Learning techniques in a user-friendly language. The book aims to give in-depth knowledge of the different Machine Learning (ML) algorithms and the practical implementation of the various ML approaches.This book covers different Supervised Machine Learning algorithms such as Linear Regression Model, Naïve Bayes classifier Decision ... Read more

    $14.39 USD or Free with Kobo Plus

  • Automated Machine Learning

    Methods, Systems, Challenges

    Edited by Frank Hutter, Lars Kotthoff, Joaquin Vanschoren ...
    Series series The Springer Series on Challenges in Machine Learning
    This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML ... Read more

    Free

  • Large Language Models in Finance

    A hands-on guide to LLM architectures, agents, RAG, governance, and evaluation in finance

    by Miquel Noguer i Alonso ...
    Build production-grade Large Language Model systems for finance. Learn how to design, fine-tune, evaluate, govern, and deploy LLMs, Retrieval-Augmented Generation (RAG), and AI agents for trading, banking, risk management, compliance, and financial research using rigorous mathematics, practical code, and real-world case studies.Key FeaturesBuild production-ready financial LLM systems with RAG, ... Read more

    $43.19 USD or Free with Kobo Plus

  • A General Introduction to Data Analytics

    by João Moreira, Andre Carvalho, Tomás Horvath ...
    A guide to the principles and methods of data analysis that does not require knowledge of statistics or programmingA General Introduction to Data Analytics is an essential guide to understand and use data analytics. This book is written using easy-to-understand terms and does not require familiarity with statistics or programming. The authors—noted experts in the field—highlight an explanation of ... Read more

    $82.00 USD

  • Big Data Analytics Made Easy

    by Y. Lakshmi Prasad ...
    Big Data Analytics Made Easy is a must-read for everybody as it explains the power of Analytics in a simple and logical way along with an end to end code in R. Even if you are a novice in Big Data Analytics, you will still be able to understand the concepts explained in this book. If you are already working in Analytics and dealing with Big Data, you will still find this book useful, as it covers ... Read more

    $9.00 USD

  • Data Mining Applications with R

    by Yonghua Cen, Yanchang Zhao ...
    Data Mining Applications with R is a great resource for researchers and professionals to understand the wide use of R, a free software environment for statistical computing and graphics, in solving different problems in industry. R is widely used in leveraging data mining techniques across many different industries, including government, finance, insurance, medicine, scientific research and more. ... Read more

    $71.09 USD

  • Computer Aided Verification

    36th International Conference, CAV 2024, Montreal, QC, Canada, July 24–27, 2024, Proceedings, Part II

    Edited by Arie Gurfinkel, Vijay Ganesh ...
    Series Book 2 - Springer Nature Proceedings Computer Science
    This open access 3-volume set constitutes the proceedings of the 36th International Conference on Computer-Aided Verification, CAV 2024, which took place in Montreal, Canada, during July 24–27, 2024.The primary focus of CAV is to extend the frontiers of verification techniques by expanding to new domains such as security, quantum computing, and machine learning. ... Read more

    Free

  • Methodological Developments in Data Linkage

    by Katie Harron, Harvey Goldstein, Chris Dibben ...
    Series series Wiley Series in Probability and Statistics
    A comprehensive compilation of new developments in data linkage methodologyThe increasing availability of large administrative databases has led to a dramatic rise in the use of data linkage, yet the standard texts on linkage are still those which describe the seminal work from the 1950-60s, with some updates. Linkage and analysis of data across sources remains problematic due to lack of ... Read more

    $89.00 USD

  • Online Machine Learning

    A Practical Guide with Examples in Python

    Edited by Eva Bartz, Thomas Bartz-Beielstein ...
    Series series Computer Science (R0)
    This book deals with the exciting, seminal topic of Online Machine Learning (OML). The content is divided into three parts: the first part looks in detail at the theoretical foundations of OML, comparing it to Batch Machine Learning (BML) and discussing what criteria should be developed for a meaningful comparison. The second part provides practical considerations, and the third part substantiates ... Read more

    $58.49 USD