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A flurry of activity around AI built with AI
It’s time again for some fantasy football insights!
Learning paths, deep learning frameworks, and accelerated model training
Learning paths to take your skills to the next level
Visualizing your data using Python and validating computer vision deep learning models!
Develop Box Custom Skills, deploy MAX models, and much more!
Natural language processing, object detection, and many more AI topics.
Training speech-to-text models, deploying Python machine learning models, and much more…
Check out some great code patterns on topics such as building cross-platform mobile apps and creating and deploying a customer churn prediction model, videos that discuss topics like bringing continuous learning to Core ML, and more information on Code and Response™.
Register for Code @ Think, build an image classifier to help search for extraterrestrial life, and learn how to export and import a Watson Assistant workspace.
Use the fused AI Fantasy Football insights, set up your own instance of a chatbot and deploy it to the Kubernetes environment on IBM Cloud, and b an AR avatar for the iPhone.
Learn about each component in the ESPN Fantasy Football with Watson system, build a virtual assistant for iOS with Watson, and build a custom visual recognition model and deploy to an iOS app.
Get a toolkit that helps you fight AI bias from all angles, see how an IBM team used AI to make ESPN Fantasy Football predictions, and snap and translate text in images.
Create a Google Action with Watson Assistant, move your machine learning insights into production, and track an object in space.
Classify audio embeddings on Watson Machine Learning by training a deep learning model, train and deploy your Fashion MNIST model on Kubernetes, and build a custom language model for Watson Speech to Text for a specific domain.
Create an app to perform intelligent searches on data, create a custom visual recognition classifier, and deploy and use a multiframework deep learning platform on Kubernetes.
Use Python to implement a simple network that classifies handwritten digits, build an iOS game powered by Core ML and Watson Visual Recognition, and integrate Watson Studio and Watson Campaign Automation to tailor your target audience for effective campaigns.
Dig deeper into the fascinating world of N-grams and N-gram statistics, optimize your visual recognition classification, and build a chatbot with IBM Watson APIs.
Build sophisticated chatbots with Watson technologies, take a community-driven approach to AI chatbot development with Bot Asset Exchange, and join the Topcoder Cognitive Community to develop the cognitive technology skills you need.
Take a look at the practical aspects of implementing AI in the enterprise, develop your chatbot skills in the IBM Cloud, and learn more about the Bot Asset Exchange , which takes a community-driven approach to AI chatbot development.
Find out more about the merge of IBM Bluemix with IBM Cloud, classify art using TensorFlow, and solve your real-world programming challenges with IBM Code Patterns.
Get started with an overview of TensorFlow, apply DevOps-style thinking to cognitive or artificial intelligence systems, and analyze Twitter handles and hashtags for sentiment and content.
Learn how to add features to a chatbot, understand the crucial role data plays in developing AI and cognitive applications, and explore IBM code patterns.
Explore the languages of artificial intelligence, find out the most popular deep learning architectures, and take a deeper look at recurrent neural networks.
Get a deeper look at recurrent neural networks, teach Watson what results to surface, and join the Topcoder Cognitive Community.
Explore natural language processing, learn the history of artificial intelligence, and create a sports buddy with TJBot and Watson.
Create a mobile app to provide data analysis, extend your chatbot to return weather information, and develop the cognitive technology skills you need in the Topcoder cognitive community.