machine learning – Page 43 – Andrew Fairless, Ph.D.

What I Read: Data-efficient image Transformers

By Andrew Fairless on March 5, 2021March 5, 2021

Data-efficient image Transformers: A promising new technique for image classificationDecember 23, 2020 “We’ve developed a new method to train computer vision models that leverage Transformers…. Our new technique — Data-efficientContinue readingWhat I Read: Data-efficient image Transformers

What I Read: Machine learning is going real-time

By Andrew Fairless on March 3, 2021March 3, 2021

https://huyenchip.com/2020/12/27/real-time-machine-learning.html Machine learning is going real-timeDec 27, 2020Chip Huyen “Machine learning is going real-time, whether you’re ready or not. While the majority of companies are still debating whether there’s valueContinue readingWhat I Read: Machine learning is going real-time

What I Read: NeRF Explosion 2020

By Andrew Fairless on February 28, 2021February 23, 2021

https://dellaert.github.io/NeRF/NeRF Explosion 2020Published: December 16, 2020 “Neural volume rendering refers to methods that generate images or video by tracing a ray into the scene and taking an integral of someContinue readingWhat I Read: NeRF Explosion 2020

What I Read: XGBoost, What it is

By Andrew Fairless on February 27, 2021February 18, 2021

https://www.kdnuggets.com/2020/12/xgboost-what-when.html XGBoost: What it is, and when to use itBy Harish Krishna, Praxis Business School “XGBoost is a tree based ensemble machine learning algorithm…”

What I Read: Can you trust AutoML?

By Andrew Fairless on February 26, 2021February 18, 2021

https://medium.com/analytics-vidhya/can-you-trust-automl-3a02332e66a0 Can you trust AutoML?Ioannis TsamardinosDec 2 “AutoML platforms try hundreds or even thousands of different ML pipelines… Do existing AutoML libraries and platforms return reliable estimates of the performanceContinue readingWhat I Read: Can you trust AutoML?

What I Read: MLOps Changing How Machine Learning Models Developed

By Andrew Fairless on February 26, 2021February 18, 2021

https://www.kdnuggets.com/2020/12/mlops-changing-machine-learning-developed.html MLOps Is Changing How Machine Learning Models Are DevelopedBy Henrik Skogstrom, Head of Growth at Valohai “Let’s look at three ways that MLOps changes how machine learning is developed:Continue readingWhat I Read: MLOps Changing How Machine Learning Models Developed

What I Watch: Modern Machine Learning Platform on Kubernetes

By Andrew Fairless on February 24, 2021February 27, 2021

https://youtu.be/CbiJ_dYZXnQ Building a Modern Machine Learning Platform on Kubernetes | LyftJan 2, 2019Data Council “Lyft ML Platform provides tools to accelerate model development, training and serving. Lyft runs it’s MLContinue readingWhat I Watch: Modern Machine Learning Platform on Kubernetes

What I Read: Deploying Machine Learning, a Survey of Case Studies

By Andrew Fairless on February 23, 2021February 3, 2021

https://arxiv.org/abs/2011.09926 Challenges in Deploying Machine Learning: a Survey of Case StudiesAndrei Paleyes, Raoul-Gabriel Urma, Neil D. Lawrence “This survey reviews published reports of deploying machine learning solutions in a varietyContinue readingWhat I Read: Deploying Machine Learning, a Survey of Case Studies

Tag: machine learning