performance
Artificial Intelligence
Hanwha Solutions achieves the best ever performance in latest and renewable energy… sales exceed KRW 6 trillion in 2023
Hanwha Solutions announced that it achieved its highest-ever sales and operating profit within the renewable energy sector last yr despite internal and external management uncertainties. It said that it has continued to speculate...
Artificial Intelligence
A Beginner’s Guide to Asset Performance Management (APM)
Breakthroughs in technologies like Artificial Intelligence (AI) are changing how we take into consideration operations management. As organizations move from a reactive approach to a proactive one, they will use technologies just like the...
Artificial Intelligence
Embracing Neuronal Diversity: A Leap in AI Efficiency and Performance
The role of diversity has been a subject of dialogue in various fields, from biology to sociology. Nevertheless, a recent study from North Carolina State University's Nonlinear Artificial Intelligence Laboratory (NAIL) opens an intriguing...
Artificial Intelligence
A beginner’s guide to understanding A/B test performance through Monte Carlo simulations
16 min read·15 hours agoThis tutorial explores how covariates influence A/B testing precision in a randomized experiment. A properly randomized A/B test calculates the lift by comparing the common end result within the treatment...
Artificial Intelligence
It’s true that ‘GPT-4’ has deteriorated in performance in comparison with 3 months ago
Recently, some experts and users indicate that "GPT-4 has turn out to be silly", and research results proving this fact are a hot topic.
Based on a research paper from Stanford University and UC Berkeley...
Artificial Intelligence
Can Synthetic Data Boost Machine Learning Performance? Background — Imbalanced Datasets The Dataset The Model Generating Synthetic Data Assessing Performance with Precision Recall Charts Bootstrapping Holdout Dataset Conclusion
To acquire a strong view of performance on the holdout set, I created fifty bootstrapped holdout sets from the unique. Running the models related to each approach across all sets provides a distribution of...
Artificial Intelligence
Can Synthetic Data Boost Machine Learning Performance? Background — Imbalanced Datasets The Dataset The Model Generating Synthetic Data Assessing Performance with Precision Recall Charts Bootstrapping Holdout Dataset Conclusion
To acquire a strong view of performance on the holdout set, I created fifty bootstrapped holdout sets from the unique. Running the models related to each approach across all sets provides a distribution of...
Artificial Intelligence
Pandas 2.0: A Game-Changer for Data Scientists? 1. Performance, Speed, and Memory-Efficiency 2. Arrow Data Types and Numpy Indices 3. Easier Handling of Missing Values 4. Copy-On-Write Optimization 5....
Being built on top of numpy made it hard for pandas to handle missing values in a hassle-free, flexible way, since As an illustration, , which isn't ideal:, but under the hood it signifies...
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