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. I held out 20% of this as a test set and used the remainder for training and validation.

Risk 67

Risk ROI Modeling Metrics 67

Occam's Razor

JANUARY 7, 2019

Learn what Session Quality is in Google Analytics, then learn how to use it in your campaigns to improve conversions. Learn what Smart Bidding is in Google Ads, then learn how to use it in your campaigns to improve outcomes. There is too much goodness in modeling that you are not taking advantage of.

Marketing Analytics 88

Marketing Analytics Marketing Analytics Strategy 88

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

In conferences and research publications, there is a lot of excitement these days about machine learning methods and forecast automation that can scale across many time series. A single model may also not shed light on the uncertainty range we actually face. But this doesn't have to be an either-or choice, as I explain below.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Domino Data Lab

JULY 9, 2019

Wiggins advocated that data scientists find problems that impact the business; re-frame the problem as a machine learning (ML) task; execute on the ML task; and communicate the results back to the business in an impactful way. I still believe that data science is the craft of trying to apply machine learning to some real world problem.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Smarten

JANUARY 24, 2019

What is Automated Machine Learning? Quite simply, it is the means by which your business can optimize resources, encourage collaboration and rapidly and dependably distribute data across the enterprise and use that data to predict, plan and achieve revenue goals. Take for example, the task of performing predictive analytics.

Machine Learning 40

Machine Learning Predictive Modeling Predictive Analytics Forecasting 40

Smarten

OCTOBER 31, 2022

What-If Analysis to test pricing, budget and cost information. Publishing and delivery agent. Auto Insights and toolsets that leverage machine learning. Graphical Analysis and Cross-Tab Analytics for Intuitive reporting. GeoMap support with interactive maps. Out-of-the-Box Mobile BI tools for access from anywhere.

Key Performance Indicator 67

Key Performance Indicator Analytics Cost-Benefit Predictive Modeling 67

Jet Global

JULY 17, 2023

In fact, most project teams spend 60 to 80 percent of total project time cleaning their data—and this goes for both BI and predictive analytics. To improve the effectiveness of the data cleaning process, the current trend is to migrate from manual data cleaning to more intelligent, machine learning-based processes.

Predictive Analytics 52

Predictive Analytics Reporting Software Strategy 52

Jet Global

SEPTEMBER 1, 2023

In this modern, turbulent market, predictive analytics has become a key feature for analytics software customers. Predictive analytics refers to the use of historical data, machine learning, and artificial intelligence to predict what will happen in the future.

Predictive Analytics 52

Predictive Analytics Risk Analytics Software 52

Jet Global

MAY 1, 2023

Later on, you’ll appreciate being able to test ideas and leverage best practices as your needs evolve. Augmented analytics use machine learning and AI to aid with data insight and analysis to improve workers’ ability to analyze data. Look beyond software and focus on the vendor who gives you the highest chance of success.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52