Insight

FEBRUARY 19, 2020

Using variability in machine learning predictions as a proxy for risk can help studio executives and producers decide whether or not to green light a film project Photo by Kyle Smith on Unsplash Originally posted on Toward Data Science. ROI = Profit/Budget). 158% (median ROI of 82%)!

Risk 67

Risk ROI Modeling Metrics 67

DataRobot Blog

DECEMBER 15, 2022

Working from datasets you already have, a Time Series Forecasting model can help you better understand seasonality and cyclical behavior and make future-facing decisions, such as reducing inventory or staff planning. Now it’s time to put our model into production and get some predictions—and unlock real value and ROI.

Forecasting 81

Forecasting Modeling ROI Machine Learning 81

Smarten

AUGUST 21, 2019

Smart Data Visualization – Smart Data Visualization gives users a helping hand with suggestions and recommendations for the best possible visualization of underlying data to generate meaningful insights from data. Original Post: Smarten Augmented Analytics: Sophistication and Simplicity.

Analytics 51

Analytics Predictive Modeling Visualization Statistics 51

DataRobot Blog

APRIL 1, 2022

You can also check which models are stale at a glance and automatically take action with challenger models and retraining policies with Continuous AI. As a result, sometimes the team doesn’t have all the necessary skills due to the rapid evolution of data science and ML technologies. Why is this challenge so important?

Machine Learning 59

Machine Learning Cost-Benefit Predictive Modeling Modeling 59

IBM Big Data Hub

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. Text representation In this stage, you’ll assign the data numerical values so it can be processed by machine learning (ML) algorithms, which will create a predictive model from the training inputs.

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

DataRobot Blog

NOVEMBER 9, 2017

I’ve spent the last 2+ years working with business analysts and MBA’s to build predictive models. We started offering a course called Data Science, Machine Learning, and AI for Executives a while back, and it’s been very successful. AI makes some people think about robotic process automation.

Machine Learning 52

Machine Learning Data-driven Software Sales 52

AWS Big Data

MARCH 7, 2023

It includes business intelligence (BI) users, canned and interactive reports, dashboards, data science workloads, Internet of Things (IoT), web apps, and third-party data consumers. Popular consumption entities in many organizations are queries, reports, and data science workloads.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

Sisense

SEPTEMBER 25, 2020

Linear regression is a form of supervised learning (or predictive modeling). In supervised learning, the dependent variable is predicted from the combination of independent variables. When a single independent variable is used to predict the value of a dependent variable, it’s called simple linear regression. Clustering.

Statistics 98

Statistics Predictive Modeling Modeling Machine Learning 98

Depict Data Studio

SEPTEMBER 17, 2019

Chris Lysy is a professional data designer and illustrator constantly exploring the overlap between contemporary design practice, digital communications, and data science. David Napoli has worked with data for over 20 years as an analyst, actuary, statistician, research manager, and director. Chris Lysy. Kylie Hutchinson.

Visualization 40

Visualization Consulting Dashboards Reporting 40