Tag: OPTIMIZATION

Free Download SQL: Advanced SQL Query optimization techniques by Andy Vickler
English | July 12, 2021 | ISBN: N/A | ASIN: B09981RW3M | 117 pages | EPUB | 0.30 Mb
Many companies worldwide suffer from one fundamental problem, and that is the inefficient functioning of their databases. While many know of database tuning and work to cover that aspect, professional database developers, managers, and administrators always miss one thing: optimizing their queries to save maximum time and cost and provide the query efficiently. Those who are aware of query optimization often lack the skillset and resources to implement this process at an advanced level efficiently. This book aims to make it easier for them.

Free Download Google Cloud Cost Optimization Technique – Gcp
Last updated 2/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.10 GB | Duration: 4h 55m
Learn Different Google Cloud Platform Cost Optimization Feature to Reduce your billing Cost of GCP with all Hands-on

Free Download React Performance Optimization
Published 4/2023
Created by Mohammad Ayashi
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 17 Lectures ( 1h 18m ) | Size: 404 MB

Free Download Evolutionary Computation in Combinatorial Optimization: 23rd European Conference, EvoCOP 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12-14, 2023, Proceedings by Leslie Pérez Cáceres, Thomas Stützle
English | PDF | 2023 | 258 Pages | ISBN : 3031300343 | 15.4 MB
This book constitutes the refereed proceedings of the 23rd European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2023, held as part of Evo*2023, in Brno, Czech Republic in April 2023, co-located with the Evo*2023 events: EvoMUSART, EvoApplications, and EuroGP.

Free Download Evolutionary Multi-Task Optimization: Foundations and Methodologies
English | 2023 | ISBN: 9811956499 | 371 Pages | PDF EPUB (True) | 40 MB
A remarkable facet of the human brain is its ability to manage multiple tasks with apparent simultaneity. Knowledge learned from one task can then be used to enhance problem-solving in other related tasks. In machine learning, the idea of leveraging relevant information across related tasks as inductive biases to enhance learning performance has attracted significant interest. In contrast, attempts to emulate the human brain’s ability to generalize in optimization – particularly in population-based evolutionary algorithms – have received little attention to date.