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Coffee with Clusterone is a webinar series about various technical topics surrounding deep learning, data science, and machine learning. We feature well-known speakers that talk about the latest developments in the industry.

The webinars last about one hour. They offer a brief introduction, a demonstration of the subject matter and a Q & A session at the end.

Upcoming Webinars

We're currently working on getting new speakers lined up for more exciting webinars. If you don't want to miss a new webinar announcement, make sure to sign up for our newsletter!

Past Webinars

Missed a past webinar or want to revisit the content? No problem! Our webinars are also available on YouTube, so check them out at your leisure.

September 12, 2018: Free Lunch? What Allows Us To Learn From Data with Carl Henrik Ek

Carl Henrik Ek peels back the hype to get down to the fundamentals behind learning from data. The talk will touch on the philosophical aspects of the question and then introduce Bayesian non-parametric processes - and specifically Gaussian processes - in the context of the fundamental principles of machine learning.

Dr. Carl Henrik Ek is a Senior Lecturer in Computer Science at the University of Bristol, UK and a Docent in Machine Learning at the Royal Institute of Technology, Sweden.

June 27, 2018: Bringing Natural Language Processing and Computer Vision Together with Emmanuel Ameisen

Emmanuel Ameisen is the AI Lead at Insight Data Science. In this webinar, he presents approaches to solve problems that combine Natural Language Processing (NLP) and Computer Vision (CV).

Having led over 70 AI projects at Insight, Emmanuel goes over common approaches and pitfalls, and then dives deeper into some of the challenges that need to be overcome to get these models to work.

June 14, 2018: How to Build a Learning Lexicon from Streaming Text with Jussi Karlgren

In this webinar, Jussi presents the design decisions and principles behind Random Indexing, as well as diving into what kind of information can be extracted from text with this technique.

Random Indexing is a well-known technique in Natural Language Understanding and can be used to extract word lists or other lexical resources that can be fed into classifiers or deep learning models.

June 7, 2018: How to Use Tensor2Tensor & Clusterone to Train Models on OpenSLR with Sohrab Fathi

Tensor2Tensor is a library of machine learning models and datasets, as well as a framework for iterative reproducible research.

During this webinar, Sohrab presented how to use Tensor2Tensor and Clusterone to train models on large Librispeech ASR Corpus (OpenSLR) dataset at scale synchronously and asynchronously.

May 21, 2018: Machine Learning with Google Brain’s Tensor2Tensor with Ryan Sepassi

Special guest: Ryan Sepassi, Senior Research Engineer at Google Brain. The webinar features an overview of Tensor2Tensor, including training, evaluating, and making predictions from a translation model.

We also published a blog post about the Q & A session at the end of this webinar. Check it out!

May 10, 2018: How to Tune Neural Networks with Mohsen Hejrati

Clusterone CEO and co-founder Mohsen Hejrati (PhD, Machine Learning) presents the tools and approaches for understanding and tuning hyperparameters in a systematic way.

April 19, 2018: Speed up Training with distributed TensorFlow with Malo Marrec

This webinar discusses the Clusterone platform and how to speed up your machine learning training with distributed TensorFlow.

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