Predictive Analytics for Practitioners
Practical guide to predictive analytics covering data preparation, sampling, algorithm strengths/weaknesses, and model accuracy assessment. Ideal for practitioners seeking to enhance their skills in this field.
Unlocking Business Value with Advanced Analytics
Practical applications of advanced analytics for business problems, including customer churn reduction, targeting, and segmentation. Learn from Microsoft's data scientists solving real-world challenges.
Past to Future - Self-service Forecasting with Microsoft BI
Explore time series forecasting with Microsoft Self-Service BI tools. Learn fundamentals, Excel capabilities, and Power View's predictive analytics for visually impressive forecasts and hindcasts.
Advanced R Analytics in SS2016 Using R Tools for Visual Studio
Explore advanced R analytics using R Tools for Visual Studio, covering predictive modeling, data access, parallelization, and integration with SQL Server for improved performance and efficiency.
Predictive Analytics Using R and SQL
Explore predictive analytics concepts, applications, and integration with BI environments. Learn data science processes, methodologies, and practical techniques using R and SQL for effective predictions.
Turning Membership Surveys Into Action - Predictive Analytics
Learn to transform membership survey data into actionable insights using factor analysis and predictive modeling techniques for more effective decision-making and stakeholder engagement.
Data Science Success Using Microsoft Azure - Predictive Analytics
Explore data science options in Microsoft Azure, including Power BI, Cortana Intelligence Suite, and HDInsight. Learn about pre-built machine learning algorithms and tools for tackling various data science needs.
Azure Machine Learning Studio and PowerBI - Predictive Analytics
Explore differences in data loading between Azure ML Lab and PowerBI, focusing on predictive analytics techniques and data visualization for effective decision support systems.
Stepping into Data Science - Predictive Analytics
Explore data science processes, feature engineering, and predictive analytics using Python. Learn to create training and predictive experiments with practical examples and machine learning techniques.
Operationalize Data Science for Advanced Decision Support
Learn to develop and integrate predictive models using Azure Machine Learning, enhancing organizational decision-making through data science principles, best practices, and a real-world case study.
Failure Prediction for Manufacturing Industry with SQL Server & R
Explore predictive modeling for manufacturing failure using SQL Server and R. Learn regression, binary classification, and random forest techniques to forecast product failures and estimate lifespans.
Data to the Rescue! Predicting and Preventing Accidents at Sea
Predicting and preventing maritime accidents using machine learning, leveraging ship behavior data, weather information, and operational profiles to revolutionize the marine insurance industry.
From NASA to Hollywood - Using Predictive Analytics and Machine Learning
Explore predictive analytics and machine learning applications in NASA spaceflight systems and Hollywood movie risk assessment, covering parametric and non-parametric models for high-risk, low-instance systems.
Using Predictive Analytics and Machine Learning
Explore predictive analytics and machine learning applications from NASA to Hollywood, focusing on critical decisions, risk management, and innovative solutions in complex systems.
Automating Load Balancing and Fault Tolerance via Predictive Analysis
Explore predictive analysis for intelligent Kubernetes load balancing, improving performance, reducing costs, and enhancing reliability in hybrid cloud environments.
Predicting the Future as a Service with Azure ML and R
Learn to create predictive analytics using Azure Machine Learning Studio. Explore data manipulation, R modules, publishing endpoints, and model retraining for easy, low-cost machine learning implementation.
Amazon Machine Learning to Predict Responses
Explore machine learning and computer vision with Amazon tools to predict responses and develop AI algorithms. Learn about S.A.M. (Suspicious Activity Monitor) and its applications in predictive policing.
Behind the AI Curtain - Designing for Trust in Machine Learning Products
Strategies for building user trust in AI products through collaborative design and data science, with a focus on integrating machine learning into product development and improving predictive analytics.
Recent Solutions Using Deep Learning Models - The How and Why
Explore recent deep learning applications across industries, examining how neural networks solve complex problems and generate predictions from massive datasets.
DevOps for Machine Learning
Explore DevOps principles for effective collaboration between data scientists and software engineers in machine learning projects, focusing on automated pipelines and best practices.
Is AI Right for Me?
Explore a practical framework for evaluating AI and data analytics solutions for enterprise business problems, avoiding costly missteps and identifying suitable approaches.