Machine Learning for Developers
ML for the rest of us.
You don’t need to be a Ph.D. data scientist to get more from your data on the IBM Cloud. Frameworks exist for building predictive models, and as a web developer, you can build with frameworks.
Making predictions sounds like a cool and useful feature for your app, but the mechanics of machine learning seem hard and abstract. They don’t have to be. Some basic concepts will take you a long way.
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Smart Chatbots
Watson Conversation is smart. Watson Conversation with data is smarter.
9 projects | View Collection
Projects
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Keeping Your Machine Learning Models Up-To-Date
MediumContinuous learning with IBM Watson Machine Learning (part 1).
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Deploying a Simple Machine Learning App with Node.js and Watson ML
Medium | GitHub | demoGive users real-time predictions; Watson ML for developers (part 3).
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Building Your First Machine Learning System
Medium | NotebookTrain your model and deploy it, Watson ML for developers (part 2).
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Watson Machine Learning for Developers
MediumUnderstanding the basic problems and workflow (part 1).
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Better Decision Making with Watson Machine Learning and Compose
Compose ArticlesYou no longer need to be a stellar data scientist or machine learning guru.
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Using Watson Machine Learning to Predict a Post's Potential
Notebook | MediumGaze into the Reddit crystal ball.
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Making of a Smart Business Chatbot: Part 3
Compose ArticlesUse a JanusGraph-backed knowledge base to give our chatbot some utility, and build a recommendation engine for technical blog articles.
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Making of a Smart Business Chatbot: Part 2
Compose ArticlesLearn how to give your Slackbot some intelligence by connecting it to a Watson Conversation dialog.
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A Fancier Graph for an Already-Smarter Chatbot
GitHub | MediumUpdating the recipe chatbot demo to use JanusGraph, the latest in graph databases.
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Making of a Smart Business Chatbot: Part 1
Compose ArticlesUse Bluemix + Compose to build a chatbot that can reliably converse with users while collecting data and gaining insights on their personality and mood.
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Building an Ordering Application with Watson AI and PostgreSQL: Part II
Compose ArticlesIn part II, you'll tie together your services with Node.js and deploy to Bluemix.
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Building an Ordering Application with Watson AI and PostgreSQL: Part I
Compose ArticlesAn IBM Bluemix application that lets Watson interact with users via Twilio's SMS service, then sends their data over to Compose PostgreSQL.
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Create a Serverless, Watson-Powered Chatbot for Your Business
GitHub | Medium | demo | nmpAdd a conversation widget to your web page that handles questions for you.
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The Most Popular Search Term at SXSW, According to Our Chatbot
GitHub | Medium | NotebookAnalyzing conversation data using Spark, Jupyter, and PixieDust.
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Navigating SXSW via Cognitive Chatbot
GitHub | MediumA smarter conference event recommendation system using Watson services and Mapbox.
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Adding a Recommendation Feature to Your App Using a Graph Database
GitHub | MediumGraph user interactions for an even smarter chatbot.
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Persisting Data for a Smarter Chatbot
GitHub | MediumYou'll need more than just log data to take your chatbot to the next level.