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Predictive Coding Guru S Guide


Predictive Coding Guru S Guide
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Predictive Coding Guru S Guide


Predictive Coding Guru S Guide
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Author : Rajiv Maheshwari
language : en
Publisher:
Release Date : 2013

Predictive Coding Guru S Guide written by Rajiv Maheshwari and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Coding theory categories.


Predictive Coding is the process of training supervised machine-learning algorithms on pre-coded example documents, and then using the trained machine to automatically predict the coding of new documents collected in the legal eDiscovery process. While supervised machine-learning has been used for over 15 years in several applications (such as detecting spam in emails, disease in patients, human faces in pictures, likely customers from a marketing database, etc.), its adoption in eDiscovery has been slow. The key reasons include insufficient understanding of the technology (often perceived as a black box), improper use of statistics (often doubted for its applicability to natural language documents), and confusion around workflows currently used in the industry (often resulting in dissatisfactory results). This book intends to challenge the status quo with: Easy to understand explanation of fundamental concepts of predictive coding technology including the vector space model, feature selection, and general framework used by most predictive coding algorithms. Detailed explanation of the three most common algorithms used for predictive coding - k Nearest Neighbors (kNN), Support Vector Machines (SVM), and Latent Semantic Analysis (LSA) - in plain English. Walk-through of core concepts essential for applying and interpreting statistics correctly. Practical guidance on avoiding common errors and pitfalls. Lucid step-by-step explanation of the two general workflow approaches - Technology Assisted Review and Technology Suggested Review - currently used in the industry in several derivative forms. A new workflow - the Greedy Workflow - that delivers better results, and offers flexibility and other properties useful in the context of eDiscovery. In addition, the book contains detailed results of testing the greedy workflow on two real eDiscovery datasets. The first dataset contained 216,594 documents excluding Excel files. The greedy workflow predictively coded 76% of the documents with 100% precision and 87% recall. The second dataset contained 93,982 Excel files only. The greedy workflow predictively coded 50% of the Excel files with 100% precision and 76% recall.



Predictive Coding For Dummies


Predictive Coding For Dummies
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Author : John Wiley & Sons
language : en
Publisher:
Release Date : 2013

Predictive Coding For Dummies written by John Wiley & Sons and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Electronic discovery (Law) categories.




Predictive Coding


Predictive Coding
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Author : Peter Elias
language : en
Publisher:
Release Date : 1950

Predictive Coding written by Peter Elias and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1950 with categories.




The Guru S Guide To Sql Server Architecture And Internals


The Guru S Guide To Sql Server Architecture And Internals
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Author : Ken Henderson
language : en
Publisher: Addison-Wesley Professional
Release Date : 2004

The Guru S Guide To Sql Server Architecture And Internals written by Ken Henderson and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Client/server computing categories.


bull; Contains the most depth and breadth of coverage of any book on SQL Server architecture, internals, and tuning bull; Will be a key reference for anyone working with SQL Server, no matter what their skill level bull; The latest book in the bestselling series of Guru's Guides from Ken Henderson



A Machine Learning Perspective On Predictive Coding Using Paq8 And New Applications


A Machine Learning Perspective On Predictive Coding Using Paq8 And New Applications
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Author : Byron Knoll
language : en
Publisher:
Release Date : 2011

A Machine Learning Perspective On Predictive Coding Using Paq8 And New Applications written by Byron Knoll and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.




Monthly Catalog Of United States Government Publications


Monthly Catalog Of United States Government Publications
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Author :
language : en
Publisher:
Release Date : 1991

Monthly Catalog Of United States Government Publications written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Government publications categories.




Monthly Catalogue United States Public Documents


Monthly Catalogue United States Public Documents
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Author :
language : en
Publisher:
Release Date : 1995

Monthly Catalogue United States Public Documents written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Government publications categories.




Handbook Of Attenuated Psychosis Syndrome Across Cultures


Handbook Of Attenuated Psychosis Syndrome Across Cultures
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Author : Huijun Li
language : en
Publisher: Springer Nature
Release Date : 2019-08-23

Handbook Of Attenuated Psychosis Syndrome Across Cultures written by Huijun Li and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-23 with Psychology categories.


This handbook examines state-of-the-art research and clinical findings on attenuated psychosis syndrome (APS) across the globe. It addresses symptoms, assessment methods, and treatment approaches as they differ and converge across countries and cultures. The handbook explores how the illness impairs many aspects of daily functioning, with high rates of suicide and a reduced life span. It details how early detection is critical and may greatly reduce the public health burden of the illness. Chapters describe the early identification and intervention efforts that are currently underway across the world. The book offers international findings from prominent researchers, elaborating culturally relevant illness symptoms, help-seeking behaviors, and assessment and intervention strategies. In addition, chapters illustrate wide variations in symptom expression and experience, reinforcing the necessity of culturally attuned practice in patient-centered care. The book concludes by examining the implications – challenges and opportunities – for future research and clinical practices from an international perspective. Topics featured in the Handbook include: Barriers to service in low-resourced countries. The role of traditional or culturally acceptable care in developing early intervention models. The reliability and validity of tools for assessing and identifying APS. Possible medical diagnoses that can present with APS symptoms and how to differentiate these conditions from APS. /divThe Handbook of Attenuated Psychosis Syndrome Across Cultures is a must-have resource for researchers, professors, clinicians, and related professionals as well as graduate students in child and school psychology, psychiatry, social work, and related disciplines.



A Beginners Guide To Amazon Web Services


A Beginners Guide To Amazon Web Services
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Author : Parul Dubey
language : en
Publisher: CRC Press
Release Date : 2024-01-18

A Beginners Guide To Amazon Web Services written by Parul Dubey and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-18 with Computers categories.


Amazon Web Services (AWS) provides on-demand cloud computing platforms and application programming interfaces (APIs) to individuals, companies, and govern- ments, along with distributed computing processing capacity and software tools via AWS server farms. This text presents a hands-on approach for beginners to get started with Amazon Web Services (AWS) in a simple way. Key Features It discusses topics such as Amazon Elastic Compute Cloud, Elastic Load Balancing, Auto Scaling Groups, and Amazon Simple Storage Service. It showcases Amazon Web Services’ identity, access management resources, and attribute-based access control. It covers serverless computing services, Virtual Private Cloud, Amazon Aurora, and Amazon Comprehend. It explains Amazon Web Services Free Tier, Amazon Web Services Marketplace, and Amazon Elastic Container Service. It includes security in Amazon Web Services, the shared responsibilitymodel, and high-performance computing on Amazon Web Services. The text is primarily written for graduate students, professionals, and academic researchers working in the fields of computer science, engineering, and information technology. Parul Dubey is currently working as an Assistant professor in the Department of Artificial Intelligence at G H Raisoni College of Engineering, Nagpur, India. She has filed for 15 Indian patents. She is responsible for about 10 publications in conference proceedings, Scopus, and journals. She has contributed book chapters in an edited book published by CRC Press and other reputed publishers. She is also an AWS Certified Cloud Practitioner. Rohit Raja is working as an associate professor and head in the Department of Information Technology at Guru Ghasidas Vishwavidyalaya, Bilaspur, India. His research interests include facial recognition, signal processing, networking, and data mining. He has pub- lished 100 research papers in various international and national journals (including publications by the IEEE, Springer, etc.) and proceedings of reputed international and national conferences (again including publications by Springer and the IEEE).



Aws Certified Machine Learning Study Guide


Aws Certified Machine Learning Study Guide
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Author : Shreyas Subramanian
language : en
Publisher: John Wiley & Sons
Release Date : 2021-11-19

Aws Certified Machine Learning Study Guide written by Shreyas Subramanian and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-19 with Computers categories.


Succeed on the AWS Machine Learning exam or in your next job as a machine learning specialist on the AWS Cloud platform with this hands-on guide As the most popular cloud service in the world today, Amazon Web Services offers a wide range of opportunities for those interested in the development and deployment of artificial intelligence and machine learning business solutions. The AWS Certified Machine Learning Study Guide: Specialty (MLS-CO1) Exam delivers hyper-focused, authoritative instruction for anyone considering the pursuit of the prestigious Amazon Web Services Machine Learning certification or a new career as a machine learning specialist working within the AWS architecture. From exam to interview to your first day on the job, this study guide provides the domain-by-domain specific knowledge you need to build, train, tune, and deploy machine learning models with the AWS Cloud. And with the practice exams and assessments, electronic flashcards, and supplementary online resources that accompany this Study Guide, you’ll be prepared for success in every subject area covered by the exam. You’ll also find: An intuitive and organized layout perfect for anyone taking the exam for the first time or seasoned professionals seeking a refresher on machine learning on the AWS Cloud Authoritative instruction on a widely recognized certification that unlocks countless career opportunities in machine learning and data science Access to the Sybex online learning resources and test bank, with chapter review questions, a full-length practice exam, hundreds of electronic flashcards, and a glossary of key terms AWS Certified Machine Learning Study Guide: Specialty (MLS-CO1) Exam is an indispensable guide for anyone seeking to prepare themselves for success on the AWS Certified Machine Learning Specialty exam or for a job interview in the field of machine learning, or who wishes to improve their skills in the field as they pursue a career in AWS machine learning.