Interpretable machine learning for atomic scale magnetic anisotropy in quantum materials
Nature -Sun, 18 May 2025 12:00:18 UTC
Identification of hub biomarkers in coronary artery disease patients using machine learning and bioinformatic analyses
Nature -Sun, 18 May 2025 10:58:02 UTC
Jamia Millia Islamia announces training programme on AI machine learning
The Indian Express -Sun, 18 May 2025 09:56:19 UTC
Machine Learning for Predicting the Transition From Gestational Diabetes to Type 2 Diabetes A Systematic Review
Cureus -Sun, 18 May 2025 08:07:17 UTC
IIT Madras launches certification programme in Applied AI and Machine Learning
The Indian Express -Sun, 18 May 2025 02:04:00 UTC
Greywolfe CEO Ron Earley to Headline Oxford Keynote on the Future of AI and E Commerce
GlobeNewswire -Sat, 17 May 2025 21:32:58 UTC
Machine learning for improved density functional theory thermodynamics
Nature -Sat, 17 May 2025 20:11:17 UTC
AI Security Frameworks Ensuring Trust in Machine Learning
CybersecurityNews -Sat, 17 May 2025 19:00:00 UTC
Adversarial Machine Learning Securing AI Models
CybersecurityNews -Sat, 17 May 2025 14:00:00 UTC
Machine learning message passing for the scalable decoding of QLDPC codes
Nature -Sat, 17 May 2025 13:35:28 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.