IBM Big Data Hub

APRIL 18, 2024

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. NLP techniques help them parse the nuances of human language, including grammar, syntax and context.

Cost-Benefit 87

Cost-Benefit Modeling Manufacturing Interactive 87

datapine

AUGUST 14, 2019

Companies surely need data scientists to help them empower their analytics processes, build a numbers-based strategy that will boost their bottom line, and ensure that enormous amounts of data are translated into actionable insights. Geet our bite-sized free summary and start building your data skills! R (And RStudio).

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

datapine

AUGUST 29, 2022

And with that understanding, you’ll be able to tap into the potential of data analysis to create strategic advantages, exploit your metrics to shape them into stunning business dashboards , and identify new opportunities or at least participate in the process. – Steven Pinker, author of The Better Angels of our Nature.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

AWS Big Data

SEPTEMBER 19, 2023

This post discusses how Chime utilizes AWS Glue , Amazon Kinesis , Amazon DynamoDB , and Amazon SageMaker to build an online, serverless fraud detection solution — the Chime Streaming 2.0 Solution overview The following diagram illustrates the design of the Chime Streaming 2.0

Analytics 77

Analytics Risk Big Data Machine Learning 77

AWS Big Data

JUNE 21, 2023

It comprises a search engine, OpenSearch, which delivers low-latency search and aggregations, OpenSearch Dashboards, a visualization and dashboarding tool, and a suite of plugins that provide advanced capabilities like alerting, fine-grained access control, observability, security monitoring, and vector storage and processing.

Metrics 77

Metrics Measurement Modeling Dashboards 77

Domino Data Lab

MAY 8, 2019

Paco Nathan’s latest article features several emerging threads adjacent to model interpretability. I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Introduction.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Insight

OCTOBER 25, 2019

Image credit: [link] As the title suggests, this is a story about a question that may resonate well with many machine learning practitioners trying to build applications in the real world, where clean and annotated data on a specific problem can be sparse— How do we leverage the power of AI when we have very little data?

Snapshot 57

Snapshot Testing Deep Learning Visualization 57