machine learning – Page 42 – Andrew Fairless, Ph.D.

What I Read: Knowledge Graphs with Language Model

By Andrew Fairless on June 16, 2021June 7, 2021

https://ai.googleblog.com/2021/05/kelm-integrating-knowledge-graphs-with.html KELM: Integrating Knowledge Graphs with Language Model Pre-training CorporaThursday, May 20, 2021Posted by Siamak Shakeri, Staff Software Engineer and Oshin Agarwal, Research Intern, Google Research “Alternate sources of informationContinue readingWhat I Read: Knowledge Graphs with Language Model

What I Read: Dataset Curation for NLP Projects

By Andrew Fairless on June 15, 2021May 30, 2021

https://www.kdnuggets.com/2021/05/4-tips-dataset-curation-nlp-projects.html 4 Tips for Dataset Curation for NLP ProjectsBy Paul Barba, Chief Scientist, Lexalytics. “After many years of painfully learned lessons from managing and implementing AI and ML projects, I’veContinue readingWhat I Read: Dataset Curation for NLP Projects

What I Read: Productizing Machine Learning Models

By Andrew Fairless on June 14, 2021May 30, 2021

https://blog.sasken.com/productizing-machine-learning-models-an-introduction Productizing Machine Learning Models – An IntroductionFeb 11, 2020 4:36:36 AM “This post will explore some of the challenges in placing ML models in a production environment. It willContinue readingWhat I Read: Productizing Machine Learning Models

What I Read: Be Careful Interpreting Predictive Models, Causal Insights

By Andrew Fairless on June 9, 2021May 30, 2021

https://towardsdatascience.com/be-careful-when-interpreting-predictive-models-in-search-of-causal-insights-e68626e664b6 Be Careful When Interpreting Predictive Models in Search of Causal InsightsA careful exploration of the pitfalls of trying to extract causal insights from modern predictive machine learning models.Scott LundbergContinue readingWhat I Read: Be Careful Interpreting Predictive Models, Causal Insights

What I Read: Brain Implant Translates Thoughts of Writing Into Text

By Andrew Fairless on June 8, 2021May 30, 2021

https://www.wired.com/story/new-brain-implant-translates-thoughts-of-writing-into-text/ A New Brain Implant Translates Thoughts of Writing Into TextJohn Timmer, Ars TechnicaScience05.14.2021 09:00 AM “In early experiments, a paralyzed man with implants in his premotor cortex typed 90Continue readingWhat I Read: Brain Implant Translates Thoughts of Writing Into Text

What I Read: Game theory for large-scale data analysis

By Andrew Fairless on June 7, 2021May 14, 2021

https://deepmind.com/blog/article/EigenGame 06 May 2021Game theory as an engine for large-scale data analysisBrian McWilliamsIan GempClaire Vernade “…we reformulated principal component analysis (PCA)… as a competitive multi-agent game we call EigenGame. PCAContinue readingWhat I Read: Game theory for large-scale data analysis

What I Read: What is a Vector Database?

By Andrew Fairless on June 4, 2021May 14, 2021

https://www.pinecone.io/learn/vector-database/ What is a Vector Database?Rajat TripathiML Solutions Engineer “The meteoric rise in Machine Learning in the last few years has led to increasing use of vector embeddings…. The uniqueContinue readingWhat I Read: What is a Vector Database?

What I Read: Accelerating ML within CNN

By Andrew Fairless on June 3, 2021May 14, 2021

https://medium.com/cnn-digital/accelerating-ml-within-cnn-983f6b7bd2eb Accelerating ML within CNNKelly DavisMay 11 “Unfortunately, it was not designed for lightweight experimentation, and because of that, the research iteration process was frustratingly slow… we explored a numberContinue readingWhat I Read: Accelerating ML within CNN

What I Read: Do Wide and Deep Networks Learn the Same Things?

By Andrew Fairless on May 28, 2021May 14, 2021

https://ai.googleblog.com/2021/05/do-wide-and-deep-networks-learn-same.html Do Wide and Deep Networks Learn the Same Things?Tuesday, May 4, 2021Posted by Thao Nguyen, AI Resident, Google Research

Tag: machine learning