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US News Wordcloud updated Tue, 15 Jul 18:09:03 UTC
Machine Learning News updated Tue, 15 Jul 13:05:02 UTC

AI machine learning cloud computing bring about vast change in thinking and working style President Murmu
The Statesman -Tue, 15 Jul 2025 12:51:00 UTC

Machine Learning Market Set to Soar Past USD 302 62 Billion by 2030 AI Innovation Leads the Charge
openPR.com -Tue, 15 Jul 2025 12:34:02 UTC

Apple Silicon machine learning code may become more easily portable to Nvidia hardware
AppleInsider -Tue, 15 Jul 2025 12:32:00 UTC

Postoperative complication severity prediction in penile prosthesis implantation a machine learning based predictive modeling study
Nature -Tue, 15 Jul 2025 10:52:01 UTC

Developing angiogenesis related prognostic biomarkers and therapeutic strategies in bladder cancer using deep learning and machine learning
Nature -Tue, 15 Jul 2025 10:48:51 UTC

Advancing crop recommendation system with supervised machine learning and explainable artificial intelligence
Nature -Tue, 15 Jul 2025 09:16:55 UTC

Integrating vision transformer based deep learning model with kernel extreme learning machine for non invasive diagnosis of neonatal jaundice using biomedical images
Nature -Tue, 15 Jul 2025 08:14:37 UTC

Predicting patient risk of leaving without being seen using machine learning a retrospective study in a single overcrowded emergency department
BMC Emergency Medicine -Tue, 15 Jul 2025 06:17:43 UTC

Machine and deep learning models for predicting high pressure density of heterocyclic thiophenic compounds based on critical properties
Nature -Tue, 15 Jul 2025 04:20:16 UTC

Designing tomorrow s mobility industry today Will AI ML be in the driver s seat
ET Auto -Tue, 15 Jul 2025 02:24:13 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.