Machine Learning & Deep Learning
Comprising of multiple tracks this focus area is where leading experts in the rapidly expanding fields of Deep Learning and Machine Learning gather to discuss the latest advances, trends, and models in this exciting field.
Attend talks, tutorials and workshops and hear from the creators and top practitioners as they demonstrate and teach the latest models and trends in Machine Learning and Deep Learning to solve problems in business and society. Some of the topics you’ll learn include:
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Machine Learning
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Deep Learning
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Deep Reinforcement Learning
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Neural Networks
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LSTM, CNNs, RNNs, & GANs,
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Computer Vision
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Pattern Recognition
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Pattern Recognition
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Tensorflow
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Scikit-learn
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Keras
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Caffe 2
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PyTorch
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Theano
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Apache Spark & MlLib
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and many more..
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Federated Learning
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Transfer Learning
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Autonomous Machines
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MLOps and Kubeflow
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Recommendation Systems
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Never Ending Learning for ML
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Causal Inference
Some of Our Past Speakers
Sessions on Machine Learning & Deep Learning Track
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Workshop: Deciphering the Black Box: Latest Tools and Techniques for Interpretability
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Talk: Adversarial Attacks on Deep Neural Networks
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Training: Integrating Pandas with Scikit-Learn, an Exciting New Workflow
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Workshop: Machine Learning for Digital Identity
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Talk: Adding Context and Cognition to Modern NLP Techniques
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Training: Good, Fast, Cheap: How to do Data Science with Missing Data
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Workshop: Open Data Hub workshop on OpenShift
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Talk: Practical AI solutions within healthcare and biotechnology
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Training: Apache Spark for Fast Data Science (and Fast Python Integration!) at Scale
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Workshop: Reproducible Data Science Using Orbyter
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Talk: Combining millions of products into one marketplace using computer vision and natural language processing