Free Download Applied Machine Learning Feature Engineering (2024)
Released 4/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 41m | Size: 255 MB
Machine learning is not magic. The quality of the predictions coming out of your model is a direct reflection of the data you feed it during training. This course with instructor Matt Harrison guides you through the nuances of feature engineering techniques for numeric data so you can take a dataset, tease out the signal, and throw out the noise in order to optimize your machine learning model. Matt teaches you techniques like imputation, binning, log transformations, and scaling for numeric data. He covers methods for other types of data, like as one hot encoding, mean targeting coding, principal component analysis, feature aggregation, and text processing techniques like TFIDF and embeddings. The tools you learn in this course will generalize to nearly any kind of machine learning algorithm/problem, so join Matt in this course to learn how you can extract the maximum value from your data using feature engineering.

Free Download Nuke Projection Workflows for Feature Films Using Maya, Nuke, Arnold & Photoshop
Nacho Thomas | Duration: 7:23 h | Video: H264 1920x1078 | Audio: AAC 44,1 kHz 2ch | 19,8 GB | Language: English
Discover how professional artists working in feature films use paint-overs and projections to speed up their workflow, allowing for more techniques to be accomplished in compositing without needing to jump back into 3D. Generalist Nacho Thomas shares non-destructive techniques to help artists level up their renders by creating comp-friendly projections using AOV sequences in Nuke.
This 7-hour workshop demonstrates production-ready techniques using non-destructive workflows. You'll discover efficient solutions to create your own projections, giving you more time to focus on your art. Nacho begins with an overview of the Maya process, emphasizing how to work with large environments and handle the AOV outputs. Arnold is used to render, though the techniques demonstrated are common to most renderers. Nacho then progresses to Nuke, where the focus of this workshop lies. The workflow involves occasionally jumping into Photoshop to handle any digital painting work.
This tutorial is intended for both 2D and 3D artists looking to advance their skills; generalists and environment artists with some working knowledge of Nuke will also greatly benefit from the techniques showcased. In the Nuke segment of this workshop, you'll learn how to work with an AOV sequence. You will discover how to build your own tools in Nuke, and create your own production-ready tools to add to your workflow. Nacho's Nuke master file and three sequences used for the shot (Beauty, Utility, and Volumetrics) with light groups and all necessary passes to follow along are provided with this workshop as downloadable project files.

Free Download Asterisk 1.6: build feature-rich telephony systems with Asterisk. - Description based on resource description page By Gomillion, David, Dempster, Barrie, Merel, David & Barrie Dempster & David Merel
2009 | 224 Pages | ISBN: 1847198627 | EPUB | 1 MB
Build feature-rich telephony systems with Asterisk.

Millie K Python Build Feature-Rich Desktop Applications with Python 2024 | 12.32 MB
N/A | 278 Pages

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Free Download Flutter & Firebase Feature–Rich Chat App With Copilot
Published 2/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 10.08 GB | Duration: 19h 22m
Master Flutter & Firebase: Build a Feature-Packed Chat App from Scratch with Advanced Messaging

Free Download Geometric Feature-Based Fiber Optic Surface Plasmon Resonance Sensors by Sanjeev Kumar Raghuwanshi , Santosh Kumar , Ritesh Kumar
English | PDF EPUB (True) | 2023 (2024 Edition) | 302 Pages | ISBN : 9819972965 | 85.6 MB
This book focuses on the surface plasmon resonance (SPR) technique covering fibre optic sensor research. It highlights recent advancements in geometric feature-based fibre optic SPR sensors for chemical/biochemical/biosensor applications. The contents also discuss the principle of the SPR sensing technique as well as various designs of fibre optic SPR probes for improving sensor sensitivity. It also includes numerous examples of SPR-based fibre optic sensors with various geometric (such as U-type, taper type, D-type, and interferometric-based) sensors. This volume will be a useful reference to those in academia and industry especially researchers with useful information focusing on fibre optic SPR sensors.

Free Download Feature and Dimensionality Reduction for Clustering with Deep Learning
English | 2024 | ISBN: 3031487427 | 460 Pages | PDF EPUB (True) | 34 MB
This book presents an overview of recent methods of feature selection and dimensionality reduction that are based on Deep Neural Networks (DNNs) for a clustering perspective, with particular attention to the knowledge discovery question. The authors first present a synthesis of the major recent influencing techniques and "tricks" participating in recent advances in deep clustering, as well as a recall of the main deep learning architectures. Secondly, the book highlights the most popular works by "family" to provide a more suitable starting point from which to develop a full understanding of the domain. Overall, the book proposes a comprehensive up-to-date review of deep feature selection and deep clustering methods with particular attention to the knowledge discovery question and under a multi-criteria analysis. The book can be very helpful for young researchers, non-experts, and R&D AI engineers.

Free Download Feature Engineering for Beginners: A Beginner's 3 in 1 Guide to Crafting Powerful Inputs for Machine Learning Models
by Chuck Sherman
English | 1 Dec. 2023 | ISBN: 8870629163, 8870627268 | ASIN: B0CPCH6L7D | 329 Pages | PDF | 81 MB

Free Download Python 3 and Feature Engineering
by Campesato, Oswald;
English | 2023 | ISBN: 1683929497 | 229 pages | True PDF | 10.67 MB

Free Download Feature Film Budgeting
by Goldberg, Ken;
English | 2024 | ISBN: 9798765102992 | 361 pages | True PDF | 9.85 MB