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Saghafian S: Insight-Driven Problem
Solving

Insight-Driven Problem Solving

Analytics Science to Improve the World

Lecture Notes in Networks and Systems

This book features selected papers from the International Conference on Information Technology and Intelligence (ITI 2024), organized by Dr. B. R. Ambedkar Institute of Technology, Andaman and Nicobar, India, during October 2024. The book is a collection of the state-of-the art research work in the cutting-edge technologies. This would provide an opportunity to gather scientific research work related to the artificial intelligence, data science and applications, cybersecurity, internet of things (IOT), cloud computing, information retrieval and knowledge management.

ICITI 2024, Volume 2

Proceedings of International Conference on Information Technology and Intelligence

Inside Rugby's Tactical and Data Revolution

Attacking the Space

Professional Practice in Governance and Public Organizations

From Administrative Sources to Public Value

Data-Driven Learning in the EU

Methods for Ecocritical Art History

'We need to talk more about complications and THE UNEXPECTED gives us a place to start' - THE TIMES'Firebrand Oster demystifies common pregnancy complications and examines the uncomfortable parts that no one wants to talk about' GUARDIANNavigate the unexpected in pregnancy with the New York Times bestselling author of CRIBSHEET and EXPECTING BETTERHalf of us might experience complications during pregnancy. Conditions such as pre-term birth, pre-eclampsia, miscarriage and postpartum depression can be isolating. What's the best approach to take when you're faced with uncertainty? In the years since she launched her data-driven approach to parenting, Emily Oster kept hearing questions from readers about dealing with pregnancy after complications. Offering parents the clarity they need, Oster provides practical advice and insight alongside foetal medicine specialist Dr Nathan Fox, as well as with data on recurrence and treatments shown to lower risk. Laying out the road map for a better birthing process, THE UNEXPECTED promises to make the hardest parts of pregnancy that little bit easier.

'We need to talk more about complications and THE UNEXPECTED gives us a place to start' - THE TIMES

'Firebrand Oster demystifies common pregnancy complications and examines the uncomfortable parts that no one wants to talk about' GUARDIAN

Navigate the unexpected in pregnancy with the New York Times bestselling author of CRIBSHEET and EXPECTING BETTER

Half of us might experience complications during pregnancy. Conditions such as pre-term birth, pre-eclampsia, miscarriage and postpartum depression can be isolating. What's the best approach to take when you're faced with uncertainty? In the years since she launched her data-driven approach to parenting, Emily Oster kept hearing questions from readers about dealing with pregnancy after complications.
  
Offering parents the clarity they need, Oster provides practical advice and insight alongside foetal medicine specialist Dr Nathan Fox, as well as with data on recurrence and treatments shown to lower risk. Laying out the road map for a better birthing process, THE UNEXPECTED promises to make the hardest parts of pregnancy that little bit easier.

Navigating Pregnancy During and After Complications

The Unexpected

A Practical Guide

Activities for Evidence-Based Practice in Healthcare

National Bureau of Economic Research Studies in Income and Wealth

Race, Ethnicity, and Economic Statistics for the 21st Century

Modern Trends In Financial Engineering

Multiscale Financial Data Analytics and Machine Learning offers a systematic and comprehensive study on the multiscale approach to financial data analytics and machine learning. This book covers an array of multiscale methods to discover the properties of various timescales embedded in a financial time series, including noise-assisted empirical mode decomposition methods. Important interpretable multiscale outputs from the estimation are recognized as a new set of features that can be used for machine learning. The feature selection problem for machine learning is examined in this volume.This book offers an applied quantitative approach that combines novel analytical methodologies and practical applications to a wide array of examples with real-world data. It is self-contained and organized in its presentation. The explanations of the methodologies are both accessible and detailed enough to capture the interest of the curious student or researcher. Step-by-step descriptions of the algorithms are provided for straightforward implementation.

Multiscale Financial Data Analytics And Machine Learning

Infrastructures

AIDS from Its Research Infrastructures

Machineries of Similarity and Difference

A unique collection of contemporary approaches to inclusive, diverse, and decolonized pedagogy for global development studies

Insight-Driven Problem Solving

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