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Analytics
Analytics – July 2020
Using data and AI in your decision-making process.
Analytics – June 2020
Use data virtualization to make queries across multiple data sources, learn practical tips to create effective taxonomy, and automate model building with AutoAI.
Analytics – May 2020
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.
Analytics – April 2020
Create a climate rating system, understand customer feedback, and learn to use Node-Red and pandas.
Analytics – March 2020
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.
Analytics – February 2020
Automate model building with AutoAI, use plots and charts in data visualization, and integrate AI into your IoT solutions.
Analytics – November 2019
Infuse your apps with AI, manage and monitor cell tower call drops, and predict fraud using AutoAI.
Analytics – October 2019
Get started with the Model Asset Exchange, deploy deep learning models, and predict home values using Golang and in-memory database machine learning functions.
Analytics – September 2019
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.
Analytics – August 2019
Gain customer insights from product reviews, create an Alexa skill with serverless and a conversation, and rapidly ingest and analyze streamed data.
Analytics – July 2019
Build an earthquake monitoring system, Visualize data with Python, and Validate computer vision deep learning models.
Analytics – June 2019
Analyze traffic data, create a health data analytics app, and extract live unstructured company data.
Analytics – May 2019
Analyze historical shopping data, determine what’s trending, and perform a machine learning exercise.
Analytics – April 2019
Scrape data from the web, display live insights, and improve your decision making.
Analytics – February 2019
Predict the stock market, infuse AI into your app, and quickly source and share your data sets.
Analytics – January 2019
Target better applicants, run predicates, and visualize your results.
Analytics – December 2018
Assign your wine, hunt for spam, and discover new customer trends.
Analytics – November 2018
Train a cloud-based machine learning model using on-premise data and create visualizations that enable responsible investing.