Machine learning will predict European heatwaves months ahead
Energy Live News -Wed, 05 Nov 2025 14:02:30 UTC
Development of a machine learning based interface for insulin dependency prediction using clinical data
Nature -Wed, 05 Nov 2025 13:30:08 UTC
Machine learning models predict mortality risk in diabetic neuropathy patients using MIMIC IV data
Nature -Wed, 05 Nov 2025 13:21:41 UTC
Multimedia data driven customer churn prediction using an enhanced extreme learning machine
Nature -Wed, 05 Nov 2025 13:21:41 UTC
Bayesian optimized machine learning and experimental study of Al₂O₃ CuO hybrid nanofluid thermal performance in turbulent circular tube flow
Nature -Wed, 05 Nov 2025 13:08:39 UTC
Study Evaluates Machine Learning Models for Predicting Cryptocurrency Price Movements and Trading Optimization
geneonline.com -Wed, 05 Nov 2025 13:02:40 UTC
Assessing the accuracy of survival machine learning and traditional statistical models for Alzheimer s disease prediction over time a study on the ADNI cohort
BMC Medical Research Methodology -Wed, 05 Nov 2025 12:00:44 UTC
Machine Learning Leads to Stronger 3D Printed Alloy
Tech Briefs -Wed, 05 Nov 2025 12:00:00 UTC
Development and validation of machine learning models to predict in hospital mortality in ICU patients with sepsis and chronic kidney disease
BMC Infectious Diseases -Wed, 05 Nov 2025 11:21:46 UTC
Google s Project Suncatcher Aims to Take AI to Space by 2027 to Scale Machine Learning
The Bridge Chronicle -Wed, 05 Nov 2025 10:04:29 UTC
Decision science is an interdisciplinary field that uses various analytical and quantitative methods to help organizations make informed decisions in complex and uncertain situations. We draw on disciplines such as statistics, mathematics, economics, psychology, computer science, and engineering to analyze data, develop models, and evaluate decision alternatives. At Holt Analytics, we go beyond superficial comparisons of bar sizes in a chart and provide statistical significance testing for your business’s KPIs by working through any or all of these important KPI development stages:
In addition to KPI analysis, Holt Analytics provices in-depth and unbiased analyses of important ad-hoc business questions related to customer relationship management, product pricing, geospatial dynamics, web traffic behaviors, marketing effectiveness and much more!
Many excellent tools are now available for managing big data facilitating and business analytics. Holt Analytics can help you with the selection, customization, and deployment of analytical tools to improve your organization’s decision-making capabilities including:
- Popular data analysis tools including Excel, Python/Pandas, Looker and Klipfolio
- Data visualization platforms including Tableau, Power BI and Qlik Sense
- Data storage platforms including Google BigQuery, Amazon Redshift, Microsoft SQL Server, Oracle, NoSQL and Apache Spark
The implementation of these tools requires our expertise in areas such as data management, software development, project management, as well as training and support for users to ensure they can effectively use the new tools. Our ultimate goal is to help organizations make better decisions by providing them with the necessary tools to analyze data, gain insights, and optimize their operations. By effectively leveraging analytical tools, your can improve efficiency, reduce costs, and make data-driven decisions that lead to better business outcomes!
Holt Analytics offers custom artificial intelligence (AI) and classic statistical algorithms to identify patterns in large datasets and make predictions or recommendations based on those patterns. With extensive experience in variety of industries including healthcare, banking, finance and marketing together with technical expertise in data science, statistics, and computer programming, we provide practical and effective machine learning solutions for your business! Our machine learning development process includes careful consideration of each stage of model development:
In addition to custom modeling, we support the integration of 3rd party machine learning APIs provided by Google Cloud Platfrom, AWS, Microsoft Azure, OpenAI’s ChatGPT and Meta’s LLama suite of models.