Product Updates
Domino 5.0: Securely store credentials to support compliance requirements
By Elliott Whiting
4 min readSubject archive for "practical-data-science-techniques," page 14
Machine Learning
Speeding up Machine Learning with parallel C/C++ code execution via Spark
By Nikolay Manchev
12 min read
Product Updates
Domino 5.0: Up-Level Your 'Laptop-in-the-Cloud' Experience for the Best of Both Worlds
By Deepam Dubey
4 min read
Product Updates
Domino 5.0: Easily leverage Git repositories to increase model velocity
By May Hu
5 min read
Product Updates
Domino 5.0: Develop Better Models Faster With Auto-Scaled Distributed Compute
By Alireza Mounesisohi and Lakshmi Narayanan
8 min readProduct Updates
Domino 5.0: share and reuse trusted data sources to drive model quality
By Andrew Coleman
6 min read
Product Updates
Domino 5.0: Accelerate the Root Cause Analysis of Model Drift
By Vinay Sridhar
5 min read
Product Updates
Domino 5.0: Rapidly Update Production Models for Optimal Performance
6 min read
Machine Learning
Semi-uniform strategies for solving K-armed bandits
By Nikolay Manchev
6 min read
Product Updates
Domino 5.0: Unleashing Model Velocity
By Bob Laurent
7 min read
Perspective
Model velocity: the key to accelerating your model-driven business
By Kjell Carlsson
5 min read
Data Science
Polars - A lightning fast DataFrames library
By Nikolay Manchev
7 min read
Perspective
Increasing model velocity for complex models by leveraging hybrid pipelines, parallelization and GPU acceleration
By Nikolay Manchev
10 min read
NVIDIA
Data center-ready MLOps: Domino now validated for NVIDIA AI Enterprise
By Thomas Robinson
6 min read
Engineering
Tensorflow, PyTorch or Keras for Deep Learning
By Dr J Rogel-Salazar
13 min read
Model Scalability
Scaling MLOps at One of Denmark’s Leading Insurers
By Stig Pedersen, Head of Machine Learning, Topdanmark
7 min read