Predictive Coding Guru's Guide Technology, Statistics, Workflows : Core Concepts, Innovative Workflow, Practical Guidance - Rajiv Maheshwari
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Saadetis 10-16 tööpäeva jooksul
30-päevane tagastamisõigus
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 pi ... Täielik kirjeldus
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Kirjeldus
- 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.
Lisateave
| Autor | Rajiv Maheshwari |
|---|---|
| Kirjastaja | Rajiv Maheshwari |
| Väljalaskeaasta | 2013 |
| Kaanetüüp | Pehme kaanega |
| EAN | 9780989385008 |