Domino Data Lab

OCTOBER 7, 2020

In this blog we show what the changes in behavior of data are in high dimensions. In our next blog we discuss how we try to avoid these problems in applied data analysis of high dimensional data. Finally, our analysts deploy the developed custom statistical software in client pipelines and within Domino environments.

Statistics 145

Statistics Testing Predictive Modeling Modeling 145

Domino Data Lab

APRIL 29, 2021

François Chollet, an engineer with Google and the primary author and maintainer of Keras, the popular deep learning language that is a high-level API for TensorFlow, feels that we are in the early days of the deep learning era. They can also go to the Domino customer stories page for even more sources of inspiration and competitive anxiety.

Data Science 134

Data Science Deep Learning Modeling Forecasting 134

Domino Data Lab

AUGUST 9, 2021

Modeling Tools with Domino Data Lab. To explore the functionality of these tools within the same platform, take a look at Domino’s Enterprise MLOps with a free 14-day trial or watch a quick demo here. David Weedmark is a published author who has worked as a project manager, software developer, and as a network security consultant.

Modeling 111

Modeling Deep Learning Machine Learning Statistics 111

Domino Data Lab

JULY 28, 2021

That’s what Domino’s Enterprise MLOps platform delivers. That’s why Domino’s workbench provides a notebook-based environment where data scientists can collaborate, share knowledge and perform all their model R&D in one place. Silos Are Demolished. Breaking down silos are key for scaling data science.

Data Science 59

Data Science Enterprise Cost-Benefit Data-driven 59

Domino Data Lab

AUGUST 10, 2021

This can be done automatically using the Domino Model Monitor platform by specifying model accuracy metrics and then having the platform notify you if the model performs outside of those metrics. David Weedmark is a published author who has worked as a project manager, software developer, and as a network security consultant.

Modeling 64

Modeling IT Risk Management Deep Learning 64

Cloudera

MARCH 2, 2022

Stress tests conducted by authorities such as the Federal Reserve Bank in the US are designed to keenly monitor the financial stability of the banking sector, especially during economic downturns such as those brought on by the pandemic. The post Manage the Demand of Stress Testing in Financial Services appeared first on Cloudera Blog.

Testing 91

Testing Management Risk Management Forecasting 91

Domino Data Lab

JULY 28, 2021

The Workbench is Domino’s notebook-based environment where data scientists can do their R&D and experimentation. David Weedmark is a published author who has worked as a project manager, software developer, and as a network security consultant. Have a question? Get in touch with us.

Data Science 59

Data Science Enterprise Modeling Experimentation 59

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. Airflow — An open-source platform to programmatically author, schedule, and monitor data pipelines. Download the 2021 DataOps Vendor Landscape here. DataOps is a hot topic in 2021. DataOps.Live — DataOps for Snowflake.

Testing 307

Testing Machine Learning Consulting Data Quality 307

Domino Data Lab

AUGUST 12, 2021

In a previous blog , we have covered how Pandas Profiling can supercharge the data exploration required to bring our data into a predictive modelling phase. Please note that this may not be the actual intention of the original authors of the dataset. However, it provides us with some cleaning steps we can carry out for this exercise.

Machine Learning 126

Machine Learning Reporting Statistics Visualization 126

Domino Data Lab

DECEMBER 2, 2020

In this blog post, I will cover a family of techniques known as density-based clustering. As always, the code can be found on the Domino platform. You’ll need to sign up to run the code for free in Domino. For this section, I will be using the denpro R package, developed by professor and author, Jussi Klemela. Level Sets.

Metrics 116

Metrics KDD Testing Machine Learning 116

Domino Data Lab

JANUARY 14, 2019

This blog post provides insights on how to use the SHAP and LIME Python libraries in practice and how to interpret their output, helping readers prepare to produce model explanations in their own work. The notebook is hosted on Domino’s trial site. import os #needed to use Environment Variables in Domino? Introduction.

Testing 89

Testing Modeling Deep Learning Data Science 89

bridgei2i

JUNE 11, 2020

So we see a lot of new delivery channels being explored, e.g. tie-ups with food delivery platforms like Zomato, Swiggy and chains like Dominoes Pizza in India, as well as D2C models. Authors: Jagriti Khiste & Siddhesh Kharode. Distribution channels, especially in emerging markets, are severely strained economically. Take a look.

Digital Transformation 52

Digital Transformation Sales Uncertainty Forecasting 52

Domino Data Lab

APRIL 24, 2019

This blog post provides insights on how to apply Natural Language Processing (NLP) techniques. A complementary Domino project is available. In this blog post, we address the question: “ Can data science help us make sense of the Mueller Report?” The Mueller Report. Applying Natural Language Processing (NLP).

Data Science 106

Data Science Reporting Analytics Machine Learning 106