Intro to Big Data, Data Science & Predictive Analytics
Explore the diverse world of big data, data science, and predictive analytics. Gain insights into subfields, real-world applications, and the components of a big data pipeline across various industries.
From BI to Predictive Analytics: Uncovering Insights in Accident Data - Big Data Analytics Tokyo 2017
Explore predictive analytics' evolution from BI to competitive advantage. Learn to uncover insights from accident data, assess fatality factors, and apply advanced analytics in your organization.
Customizing Game Experiences with Lifetime Value Models and Predictive Analytics
Customize game experiences using lifetime value models and predictive analytics. Learn from Space Ape Games' strategies to boost retention and monetization in mobile gaming.
Predicting Lifetime Value in the Apps World
Explore predictive analytics and lifetime value models in apps. Learn tactics to maximize user segments, upgrade behaviors, and minimize churn across various business models.
Advancing Earth System Predictability with Machine Learning Methods
Explore machine learning methods for improving Earth system predictions, featuring insights from Dan Lu of Oak Ridge National Laboratory on enhancing climate modeling and forecasting.
Garbh-Ini Project - Machine Learning for Maternal and Child Health
Explore machine learning applications in healthcare through the Garbh-Ini Project, focusing on predicting outcomes, analyzing medical data, and bridging the gap between computational modeling and clinical practice.
AI at Scale to Understand Impact of Weather on Businesses
Explore how AI scales to analyze weather's impact on business, leveraging historical data to predict demand and inform decision-making across industries.
The Risks of Excluding the Disengaged From Your Dataset
Explore the importance of inclusive datasets in machine learning for accurate predictions and reliable insights across various domains.
Optimal Beer Pricing: An Optimization Layer for Price Elasticities
Explore mathematical optimization for beer pricing, balancing profit, revenue, and market share objectives while considering price elasticities and model constraints.
Challenges and Learnings of Machine Learning at Scale
Explore challenges and learnings of training millions of models efficiently, optimizing costs, and achieving high-performance daily predictions in machine learning.
MLOps at Scale: Predicting Bus Departure Times Using 18,000 ML Models
Explore MLOps at scale through a case study on predicting bus departure times using 18,000 ML models. Learn practical insights for implementing large-scale machine learning projects.
Applied Machine Learning in Healthcare - Practical and Legal Considerations
Explore practical and legal aspects of applying machine learning in healthcare, including data challenges, algorithm development, and ethical considerations.
Predicting and Preventing Customer Technical Issues Using Machine Learning and RPA
Predict and proactively resolve customer technical issues using machine learning and robotic process automation, improving service efficiency and customer satisfaction in telecom.
Machine Learning Simplified - From Ideation to Deployment in Minutes with Automated ML
Discover how to train high-quality ML models using Azure Machine Learning's automated ML, requiring only a dataset and minimal configuration parameters.
Digitalizing Pharmaceutical Manufacturing: From Paper Systems to AI-Driven Solutions
Discover how AI transforms pharmaceutical manufacturing by automating data collection, enhancing equipment effectiveness, and enabling real-time monitoring for improved operational efficiency.
AccuWeather - Turning Risky Weather into Business Opportunities
Discover how AccuWeather's advanced AI and proprietary algorithms transform weather data into actionable business insights, enabling proactive decision-making and risk mitigation for improved operational outcomes.
Scaling Business with Real-Time ML in Microsoft Fabric Real-Time Analytics
Leverage ML on real-time data to scale business operations using Microsoft Fabric Real-time Analytics. Deep-dive into technical aspects for optimizing performance and decision-making.
Applying Learning Analytics on Predicting Student's Academic Performance
Discover how learning analytics and educational big data can predict student academic performance through expert insights from Prof. Yang's keynote presentation at Kyoto University's symposium.
Statistical Rethinking 2022 - Geocentric Models
Explore Bayesian linear regression, covering model language, generative and statistical approaches, validation, and posterior predictions for a comprehensive understanding of statistical modeling.
Population Growth and Decline - Differential Equations
Explore population dynamics through differential equations, examining growth and decline models before delving into harvesting concepts.
Integer Optimization for Predictive & Prescriptive Analytics in High Stakes Domains
Explore integer optimization techniques for developing interpretable, robust, and fair decision-tree models to assist high-stakes decision-making in social services and healthcare domains.