The Unofficial Google Data Science Blog

APRIL 23, 2024

To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. Our experimentation platform supports this kind of grouped-experiments analysis, which allows us to see rough summaries of our designed experiments without much work.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Cloudera

JULY 27, 2021

Here in the virtual Fast Forward Lab at Cloudera , we do a lot of experimentation to support our applied machine learning research, and Cloudera Machine Learning product development. We believe the best way to learn what a technology is capable of is to build things with it.

Data Science 113

Data Science Enterprise Experimentation Machine Learning 113

Sanjeev Mohan

FEBRUARY 6, 2019

My journey in helping our customers with their technical queries started when I joined Gartner in late 2016. I saw the winds change and the inquiry requests shifted towards advanced analytics involving machine learning (ML) questions. This is the focus of my latest research which published in Jan 2019. I am glad you asked.

Data Analytics 49

Data Analytics Analytics Data Governance Experimentation 49

Hurwitz & Associates

FEBRUARY 20, 2018

I would divide the announcements (too many to list) into four buckets: Alexa for Business; enterprise expansion; support for Kubernetes, and AI/machine learning Tools. Machine Learning and AI take center stage. In 2016 Amazon announced that the Amazon AI platform as a way to bring AI tools to its developer community.

IT 56

IT Machine Learning Experimentation Enterprise 56

Hurwitz & Associates

JULY 19, 2018

HPE then shed its software business, selling it to MicroFocus in 2016, and its EDS services business, selling it to CSC that same year. Scalable memory will play a larger role in analytics, leveraging AI and machine learning (ML). For HPE, very large memory is becoming a catalyst for enabling data-intensive analytics.

Strategy 40

Strategy Data-driven Experimentation Software 40

Domino Data Lab

AUGUST 22, 2019

Note: In more technical machine learning terms, the cost function of the skip-gram architecture is to maximize the log probability of any possible context word from a corpus given the current target word.] Journal of Machine Learning Research, 9, 2579–605.]. Note: Google Translate has incorporated NMT since 2016.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. An ML-related topic, “models,” was No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20