Tag: Training

November 27, 2024

Linkedin – COBOL Essential Training

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Free Download Linkedin – COBOL Essential Training
Updated: 11/2024
Duration: 3h 48m | .MP4 1280×720, 30 fps(r) | AAC, 48000 Hz, 2ch | 720 MB
Level: Intermediate | Genre: eLearning | Language: English
Since its inception over 60 years ago, COBOL code has worked its way into everything from ATM machines to essential government operations. While most modern developers aren’t spinning up new programs using this legacy programming language, organizations are often willing to pay a premium for candidates who can review and update existing COBOL code. This course was designed to help new and experienced programmers alike add COBOL (or add COBOL back) to their skill set. Instructor Peggy Fisher shows how to get a COBOL development environment up and running and how to start programming. She reviews the language’s data types and constants, control structures, file organization and processing methods, tables, and strings. Challenges issued along the way will help you practice what you’ve learned.

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November 25, 2024

Corporate Training for Effective Performance

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Free Download Corporate Training for Effective Performance By Martin Mulder, Wim J. Nijhof, Robert O. Brinkerhoff (auth.)
1995 | 267 Pages | ISBN: 9401042926 | PDF | 9 MB
Corporate training and effective performance have become major issues in the 1980s and ’90s. Reviews of the training research literature show that, parallel to the growing attention to corporate training, research has also increased in the field, giving a better understanding of the subject and providing fundamental expertise on which trainers can build. The contributions to the book differ in the degree to which they are related to performance issues, but all chapters underline the necessity of thinking from the perspective of effective performance.

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November 24, 2024

Artificial Neural Network Training and Software Implementation Techniques

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Free Download Ali Kattan, "Artificial Neural Network Training and Software Implementation Techniques "
English | ISBN: 1611229901 | 2011 | 58 pages | PDF | 2 MB
Artificial neural networks (ANN) are widely used in diverse fields of science and industry. Though there have been numerous techniques used for their implementations, the choice of a specific implementation is subjected to different factors including cost, accuracy, processing speed and overall performance. Featured with synaptic plasticity, the process of training is concerned with adjusting the individual weights between each of the individual ANN neurons until we can achieve close to the desired output. This book introduces the common trajectory-driven and evolutionary-based ANN training algorithms.

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