Von Bulow F A Data-Driven Fleet Service of Lithium-Ion Batteries 2024 | 6.61 MB
N/A | 247 Pages

Title: N/A
Author: N/A
Year: N/A

Free Download AI–Driven Project Management Techniques and Insights with Ricardo Vargas
Released 2/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: General | Genre: eLearning | Language: English + srt | Duration: 1h 8m | Size: 260 MB
In this conversation-based course, project management leader Ricardo Vargas demonstrates next-level techniques for incorporating AI into project management workflows. Incorporating real-life examples throughout the discussion, we explore how project managers can use generative AI to create effective team collaboration strategies. We look at how AI can assist in resource management, change management, crisis management, and more—all while enhancing and even challenging a project manager's intuition in making critical decisions. We also explore various ways AI tools can be used to boost creativity and innovation within project teams. After watching this course, project managers should feel empowered to incorporate AI tools in their own workflows.

Data-Driven Modeling & Scientific Computation by J Nathan Kutz PDF | 11.27 MB
N/A | 657 Pages

Title: Data-Driven Modeling & Scientific Computation: Methods for Complex Systems & Big Data
Author: J. Nathan Kutz
Year: 2014

Pinkett R Data-Driven DEI The Tools and Metrics You Need 2023 | 12.18 MB
N/A | 319 Pages

Title: Data-Driven DEI
Author: Pinkett, Randal;
Year: N/A

O'Brien W Model-Driven Software Systems Development Meta-Artifact Process 2024 | 9.15 MB
N/A | 145 Pages

Title: Model-Driven Software Systems Development Using the Meta-Artifact Process
Author: Wayne O'Brien
Year: N/A

Free Download Data Driven Approaches on Medical Imaging by Bin Zheng, Stefan Andrei, Md Kamruzzaman Sarker, Kishor Datta Gupta
English | PDF EPUB (True) | 2024 | 236 Pages | ISBN : 3031477715 | 25.4 MB
This book deals with the recent advancements in computer vision techniques such as active learning, few-shot learning, zero shot learning, explainable and interpretable ML, online learning, AutoML etc. and their applications in medical domain. Moreover, the key challenges which affect the design, development, and performance of medical imaging systems are addressed. In addition, the state-of-the-art medical imaging methodologies for efficient, interpretable, explainable, and practical implementation of computer imaging techniques are discussed. At present, there are no textbook resources that address the medical imaging technologies. There are ongoing and novel research outcomes which would be useful for the development of novel medical imaging technologies/processes/equipment which can improve the current state of the art.

Free Download Microsoft Applied Skills – Model–driven Power Apps & Dataverse
Published 1/2024
Created by Phillip Burton
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 34 Lectures ( 2h 46m ) | Size: 1 GB

Free Download From Zero to Hero Test–Driven Development in C#
Released 1/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 66 Lessons ( 5h 42m ) | Size: 1.2 GB
Master the craft of Test-Driven Development from the basics to the most advanced concepts

Free Download Love Enamored and Driven Mad
by Lucrezia Marinella, Janet E. Gomez
English | 2020 | ISBN: 0866986251 | 226 Pages | True PDF | 4.28 MB

Free Download Data-driven Analytics for Sustainable Buildings and Cities: From Theory to Application by Xingxing Zhang
English | EPUB | 2021 | 446 Pages | ISBN : 9811627770 | 121.5 MB
This book explores the interdisciplinary and transdisciplinary fields of energy systems, occupant behavior, thermal comfort, air quality and economic modelling across levels of building, communities and cities, through various data analytical approaches. It highlights the complex interplay of heating/cooling, ventilation and power systems in different processes, such as design, renovation and operation, for buildings, communities and cities. Methods from classical statistics, machine learning and artificial intelligence are applied into analyses for different building/urban components and systems.