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Using data and AI in your decision-making process.
Use data virtualization to make queries across multiple data sources, learn practical tips to create effective taxonomy, and automate model building with AutoAI.
Use statistical software to analyze COVID-19 data, create a climate rating system, build reactive applications with Kafka, and analyze sentiment and emotion of customer reviews.
Create a climate rating system, understand customer feedback, and learn to use Node-Red and pandas.
Forecast consumer demand using deep learning, build, train, and evaluate a machine learning product-based classifier, and encourage additional purchases based on past buying behavior.
Automate model building with AutoAI, use plots and charts in data visualization, and integrate AI into your IoT solutions.
Infuse your apps with AI, manage and monitor cell tower call drops, and predict fraud using AutoAI.
Get started with the Model Asset Exchange, deploy deep learning models, and predict home values using Golang and in-memory database machine learning functions.
Collecting home sales data using a high-performance CRUD app, validating computer vision deep learning models, and creating models easier and faster using open source connectors.
Gain customer insights from product reviews, create an Alexa skill with serverless and a conversation, and rapidly ingest and analyze streamed data.
Build an earthquake monitoring system, Visualize data with Python, and Validate computer vision deep learning models.
Analyze traffic data, create a health data analytics app, and extract live unstructured company data.
Analyze historical shopping data, determine what’s trending, and perform a machine learning exercise.
Scrape data from the web, display live insights, and improve your decision making.
Predict the stock market, infuse AI into your app, and quickly source and share your data sets.
Target better applicants, run predicates, and visualize your results.
Assign your wine, hunt for spam, and discover new customer trends.
Train a cloud-based machine learning model using on-premise data and create visualizations that enable responsible investing.