Cloudera

OCTOBER 3, 2022

You’ve found an awesome data set that you think will allow you to train a machine learning (ML) model that will accomplish the project goals; the only problem is the data is too big to fit in the compute environment that you’re using. But this has some well-known downsides, namely THROWING AWAY VALUABLE DATA. So what do you do?

Machine Learning 90

Machine Learning Dashboards Data Processing Data Science 90

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Cloudera

NOVEMBER 13, 2020

Apache Impala is synonymous with high-performance processing of extremely large datasets, but what if our data isn’t huge? It turns out that Apache Impala scales down with data just as well as it scales up. Data science experiment result and performance analysis, for example, calculating model lift. Query Planner Design.

Optimization 143

Optimization Metadata Statistics Cost-Benefit 143

Domino Data Lab

AUGUST 22, 2019

Data scientists and researchers require an extensive array of techniques, packages, and tools to accelerate core work flow tasks including prepping, processing, and analyzing data. Utilizing NLP helps researchers and data scientists complete core tasks faster. Preprocessing Natural Language Data. and 2.6) [ in the book].

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Domino Data Lab

SEPTEMBER 9, 2019

Data science teams in industry must work with lots of text, one of the top four categories of data used in machine learning. We have configured the default Compute Environment in Domino to include all of the packages, libraries, models, and data you’ll need for this tutorial. Getting Started.

Deep Learning 110

Deep Learning Machine Learning Visualization Data Science 110