Orbit 3DM Feature Extraction CONNECT Edition V22 Update 10 | 607.4 mb
Product:Orbit 3DM Feature Extraction
Version:CONNECT Edition V22 Update 10 (22.10.00.03) Standard
Supported Architectures:x64
Website Home Page :www.bentley.com
Languages Supported:english
System Requirements:Windows *
Size:607.4 mb

Orbit, now part of Bentley Systems, is pleased to announce the availability of Orbit 3DM Feature Extraction CONNECT Edition V22 Update 10 (22.10.00.03). This software enables you to complete simple and complex measurements, auto-extract features, and perform advanced analysis using massive amounts of point cloud, imagery, textured mesh, and traditional GIS resources.

Jing Z EEG Data Analysis, Feature Extraction and Classifiers 2011 | 3.89 MB
N/A | 117 Pages

Title: EEG Data Analysis, Feature Extraction and Classifiers
Author: Jing Zhou
Year: N/A

Published 1/2023
Created by Soledad Galli,Kishan Manani
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 142 Lectures ( 18h 9m ) | Size: 5.82 GB

Haque M Feature Engineering and Selection for Explainable Models 2022 | 6 MB
N/A | 196 Pages

Title: SHASHIBO Shape Shifting Box - Award-Winning, Patented Fidget Cube w/ 36 Rare Earth MagnetTransforms Into Over 70 Shapes, Download Fun in Motion Toys Mobile App (Original SerieWings)
Author: N/A
Year: N/A

Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
by Alice Zheng
English | 2022 | ISBN: NA | 196 Pages | PDF | 6 MB

Feature Selection in Machine Learning with Feature-engine
English | 2022 | ISBN: n/a | 53 Pages | PDF EPUB (True) | 14 MB
Feature selection is the process of selecting a subset of features from the total variables in a data set to train machine learning algorithms. Feature selection is key for developing simpler, faster, and highly performant machine learning models. The aim of any feature selection algorithm is to create classifiers or regression models that run faster and whose outputs are easier to understand by their users.

Python Feature Engineering Cookbook:
Over 70 recipes for creating, engineering, and transforming features to build machine learning models, 2nd Edition
English | 2022 | ISBN: 1804611301 | 590 Pages | True PDF EPUB | 17 MB

Di Wu Robust Latent Feature Learning for Incomplete Big Data 2023 | 4.05 MB
English | 119 Pages

Title: Robust Latent Feature Learning for Incomplete Big Data (SpringerBriefs in Computer Science)
Author: Di Wu
Year: 2022

Edward Friedlander, "Feature Writing Pnie The Pursuit Of Exce"
English | 2013 | pages: 272 | ISBN: 129204215X | PDF | 1,9 mb
Using experience-driven advice and compelling articles from scores of newspaper, magazine and online writers, Feature Writing shows how award-winning journalists achieve excellence and national recognition.The Seventh Edition helps the reader cultivate vital journalistic skills through detailed coverage on creating and refining article ideas, conducting research and interviews, writing, and navigating legal and ethical questions. World-class writing examples from Pulitzer Prize feature writers, extensive updates, and timely tips from some of America's best feature writers have made this the premier book in its field for more than three decades.

Abualigah L Feature Selection and Enhanced Krill Herd Algorithm 2019 | 3.99 MB
English | 186 Pages

Title: 475905_1_En_Print.indd
Author: N/A
Year: 2008