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Understanding the “Machine Learning Way” to Solve Business Problems through Real-World Scenarios 
Ironically, one of the foremost barriers preventing the exploitation of machine learning in a business is neither the implementation of the algorithm nor the retrieval of the data (the how): the toughest part is to recognize the right occasion to use it (the why)! We need to... Read more
Editor’s note: Xiang Ren, PhD is a speaker for ODSC West 2021. Be sure to check out his talk, “Teaching Machines through Human Explanations,” there! Neural models achieve strong performance in a wide range of NLP tasks, such as text classification, reading comprehension, summarization, etc., at the... Read more
Creating Word Clouds from Text
Word clouds are a useful visualization tool. They show the most frequent words in a text, where the relative size of the word correlates with frequency. This is an example word cloud: Word clouds are useful for at least two purposes: An initial exploration of text... Read more
Highlighting Data Science and AI Research Labs on the West Coast
Data science and artificial intelligence research labs are popping up everywhere, and the West Coast in the USA is a hotspot. Between excellent universities focusing on AI, and major tech companies having headquarters there, there’s certainly a lot of buzz around AI in California and surrounding... Read more
The ODSC Warmup Guide to PyTorch
PyTorch is an open-source framework built for developing machine learning and deep learning models. In particular, this framework provides the stability and support required for building computational models in the development phase and deploying them in the production phase.  PyTorch functionalities are extensible with other Python... Read more
What’s the Main Priority for Data Labeling in Modern ML, Quality or Scale: Experts Weigh In
AI relies on data labeling for training algorithms – without the data, there can’t be any machine learning. Data labeling accuracy is often difficult to achieve on its own, but it becomes even more of an issue when scalability is at stake. It’s believed by many... Read more
Forecasting with Cohort-Based Models
Editor’s note: Nicolai Vicol is a speaker for ODSC West 2021. Check out his talk, “Forecasting with Cohort-Based Models,” there! Cohort-based models are an alternative to time series models when it comes to forecasting of paid subscriptions TLDR on Cohort-Based Models A company offering subscriptions (e.g.... Read more
Batteries-Included Workflow Orchestration Tool: Flyte
Editor’s note: The authors are speaking at ODSC West 2021. Be sure to check out their talk, “Deep Dive into Flyte,” there! Machine learning (ML) has been deployed in the industry for over a few decades, but the tooling to support researchers and engineers in this... Read more
Who Else Wants to Know the Mystery Behind GANs?
Generative adversarial networks (GANs) are one of the newer machine learning algorithms that data scientists are tapping into. When I first heard it, I wondered how can networks be adversarial? I envisioned networks with swords drawn going at it. Close… but I can assure you that... Read more
24 Useful Open Datasets for Natural Language Processing
Natural language processing forms the foundation of innovation in artificial intelligence. We want machines that sound like us, understand us, and take on tasks previously only possible through human interaction. As a result, the company or developer that finally cracks the language code will usher in... Read more