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Augment classification of text from Watson Natural Language Understanding with IBM Data Science Experience.
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Use time series from IoT sensor data, IBM Data Science Experience, and the R statistical computing project to analyze the data and detect change points.
Create retail applications that leverage data from enterprise IT infrastructure using APIs in a hybrid cloud environment — no mainframe knowledge required.
Use machine learning to perform secure, real-time risk assessment and management to help financial institutions more accurately determine credit worthiness.
Learn how to pull data points — concepts, entities, categories, keywords, sentiment, emotion, etc. — from Hacker News articles using natural-language service calls from a Swift-based application.
Enrich unstructured data from Facebook using a Jupyter Notebook with Watson Visual Recognition, Natural Language Understanding, and Tone Analyzer, then use PixieDust to explore the results and uncover hidden insights.
Discover how simple it is to build a home automation hub using natural-language services and OpenWhisk serverless technology.
Make the markets more predictable by building a portfolio stress-testing app using a set of financial web services.
Look at traffic data from the city of San Francisco, create robust data visualizations that allow users to encapsulate business logic, create charts and graphs, and quickly iterate through changes in the notebook.
Use Apache Spark on z/OS and Jupyter Notebooks to move data analysis closer to the data itself without adversely affecting your systems.
Create a Watson Conversation-based financial chatbot that enables you to query your investments, analyze securities, and use multiple interfaces.
Combine gaming and the power of data analysis to become an unstoppable player. Read how you can actually analyze your game to become a top-notch competitor.
Efficiently build powerful deep learning applications and improve your machine learning speeds quickly.
Develop a modern, cloud-based air traffic control application.
Analyze and create data visualizations with Jupyter Notebooks.
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