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151
result(s) for
"Business networks-Computer network resources"
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LinkedIn for dummies
by
Joel Elad
in
Business enterprises-Computer networks
,
Business networks-Computer network resources
,
Job hunting-Computer network resources
2021
Brand yourself like a pro on LinkedIn LinkedIn multiplies what you know by the power of who you know to deliver the number one social platform for business professionals and new job seekers. LinkedIn For Dummies shows LinkedIn newcomers the best ways to discover new opportunities, enhance their personal brand, network with other professionals.
The value base of social work and social care
by
Batmanghelidjh, Camila
,
Horner, Nigel
,
Barnard, Adam
in
Barnes, Courtney M
,
Business networks -- Computer network resources
,
Communication in management -- Computer network resources
2008
Explores the concepts and themes that help us understand the value base in social work. This book examines the tensions between values such as justice, anti-discrimination, compassion, and empathy, and the need for professionalism, accountability, cost codes, and performance measurement
Long-term water demand forecasting using artificial intelligence models in the Tuojiang River basin, China
Accurate forecasts of water demand are a crucial factor in the strategic planning and judicious use of finite water resources within a region, underpinning sustainable socio-economic development. This study aims to compare the applicability of various artificial intelligence models for long-term water demand forecasting across different water use sectors. We utilized the Tuojiang River basin in Sichuan Province as our case study, comparing the performance of five artificial intelligence models: Genetic Algorithm optimized Back Propagation Neural Network (GA-BP), Extreme Learning Machine (ELM), Gaussian Process Regression (GPR), Support Vector Regression (SVR), and Random Forest (RF). These models were employed to predict water demand in the agricultural, industrial, domestic, and ecological sectors using actual water demand data and relevant influential factors from 2005 to 2020. Model performance was evaluated based on the Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE), with the most effective model used for 2025 water demand projections for each sector within the study area. Our findings reveal that the GPR model demonstrated superior results in predicting water demand for the agricultural, domestic, and ecological sectors, attaining R 2 values of 0.9811, 0.9338, and 0.9142 for the respective test sets. Also, the GA-BP model performed optimally in predicting industrial water demand, with an R 2 of 0.8580. The identified optimal prediction model provides a useful tool for future long-term water demand forecasting, promoting sustainable water resource management.
Journal Article
A novel methodological approach to SaaS churn prediction using whale optimization algorithm
2025
Customer churn is a critical concern in the Software as a Service (SaaS) sector, potentially impacting long-term growth within the cloud computing industry. The scarcity of research on customer churn models in SaaS, particularly regarding diverse feature selection methods and predictive algorithms, highlights a significant gap. Addressing this would enhance academic discourse and provide essential insights for managerial decision-making. This study introduces a novel approach to SaaS churn prediction using the Whale Optimization Algorithm (WOA) for feature selection. Results show that WOA-reduced datasets improve processing efficiency and outperform full-variable datasets in predictive performance. The study encompasses a range of prediction techniques with three distinct datasets evaluated derived from over 1,000 users of a multinational SaaS company: the WOA-reduced dataset, the full-variable dataset, and the chi-squared-derived dataset. These three datasets were examined with the most used in literature, k-nearest neighbor, Decision Trees, Naïve Bayes, Random Forests, and Neural Network techniques, and the performance metrics such as Area Under Curve, Accuracy, Precision, Recall, and F1 Score were used as classification success. The results demonstrate that the WOA-reduced dataset outperformed the full-variable and chi-squared-derived datasets regarding performance metrics.
Journal Article
LinkedIn profile optimization for dummies
The LinkedIn profile is a platform to shape how other see you and explain how you impact lives. This book will explain exactly what you need to know to optimize your profile according to your goals so you can collide with your desired opportunities. Discover how to identify your personal keywords, utilize endorsements, and optimize your experiences. You'll also create a compelling summary that grabs the attention of a potential partner, client, or employer. --Publisher.
Deep learning for computer vision
by
Shanmugamani, Rajalingappaa
in
Artificial intelligence
,
Artificial intelligence-Research
,
Big Data and Business Intelligence
2018,2024
Deep learning has shown its power in several application areas of Artificial Intelligence, especially in Computer Vision, the science of manipulating and processing images. In this book, you will learn different techniques in deep learning to accomplish tasks related to object classification, object detection, image segmentation, captioning, ...