Previous: Part 9 - Using the Sequencing APIs
Over the last few parts, we haven\'t done much machine learning. Instead, we looked at how you can preprocess text data to get it ready for training machin... (more…)
Read more »
The authors, a Machine Learning practitioner and a professional Statistician who've long worked together, unpack the role of each field within data science. (more…)
Read more »
Late last year Amazon introduce a new EC2 image customized for Machine Learning (ML) workloads. To make things easier for data scientists and researchers, Amazon worked on including a selection of ML libraries into these images so they wouldn’t have to go... (more…)
Read more »
In response to innovations in machine learning (ML) models, production
workloads changed radically and rapidly. TPU v4 is the fifth Google domain
specific architecture (DSA) and its third supercomputer for such ML models.
Optical circuit switches (OCSes) ... (more…)
Read more »
Posted by Amir Yazdanbakhsh, Research Scientist, Google Research One of the key contributors to recent machine learning (ML) advancements... (more…)
Read more »