Occam's Razor

MARCH 30, 2017

It’s implications are far and wide, even in the narrow scope that I live in (marketing, analytics, influence). Machine Learning | Marketing. Machine Learning | Marketing. You are seeing many applications of Machine Learning being applied to Marketing. Consider the implications of ML on your email marketing program.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

datapine

MARCH 31, 2022

For example, if you enjoy computer science, programming, and data but are too extroverted to program all day long, you could work in a more human-oriented area of intelligence for business, perhaps involving more face-to-face interactions than most programmers would encounter on the job. What Are The Necessary BI Skills?

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Ms SQL Girl

MARCH 30, 2015

Apr 10, 2015 7:45 AM – 5:15 PM. Early bird (until Apr 1, 2015) $99.00. Power Query 101 (for Power BI Dashboard). Creating Interactive Visualisation for Actionable Analytics. Creating Interactive Visualisation for Actionable Analytics. Power Query 101 (For Power BI Dashboard). Regular price $109.00.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Ms SQL Girl

MARCH 30, 2015

Apr 10, 2015 7:45 AM – 5:15 PM. Early bird (until Apr 1, 2015) $99.00. Power Query 101 (for Power BI Dashboard). Creating Interactive Visualisation for Actionable Analytics. Creating Interactive Visualisation for Actionable Analytics. Power Query 101 (For Power BI Dashboard). Regular price $109.00.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Sisense

SEPTEMBER 8, 2021

If different patient care analytics systems served up insights from each of these standalone data sources in their own programs, the time required to switch back and forth from the primary program to different dashboards would slow care workflows and discourage teams from actually using them. Simplify it. Learn the steps.

Analytics 52

Analytics Data mining Data Integration Risk 52

DataRobot Blog

DECEMBER 7, 2019

So, we predicted how the entire free agency market would play out with DataRobot. We compiled our predictions and analysis in the interactive graphic below, showing every player in this free agent class who had a sufficient track record of data to predict: Predicting Contract Terms. age, service time, position).

Machine Learning 52

Machine Learning Forecasting Metrics Modeling 52

Cloudera

MAY 16, 2018

Let’s start with a $78 million “pump and dump” securities fraud example in which multiple perpetrators conspired to pump up the stock of a little-known coffee company and then dump their own shares on the market, profiting from the artificially inflated price. Market data: Coordinated trading among multiple parties.

Data Lake 42

Data Lake Risk Visualization Unstructured Data 42

Occam's Razor

SEPTEMBER 15, 2014

If you look at the mobile marketing strategies, you will see they don't reflect this shift to mobile. If you are in a feature phone majority market, and that market has most of the monetizable behavior, please invest in unique tracking there. For the first couple of interactions, give her/him that data.

Metrics 141

Metrics Reporting Analytics Marketing 141

Occam's Razor

JULY 13, 2017

4: Interactivity With Insightful End-Points. Ex: Six Visual Solutions To Complex Digital Marketing/Analytics Challenges. Strategy 4: Interactivity With Insightful End-Points. Interactive visualization are great, only when packaged with insights for actions at logical end-points in exploration. 2: If Complex, Focus!

Visualization 124

Visualization Strategy Interactive Statistics 124

Domino Data Lab

JULY 9, 2019

I want data scientists that I can drop in a room with somebody from product or marketing or somebody who does not speak calculus, and that speaks to a lot of the things that Pete said. Again, the person from marketing or product does not come to you and say, “Please minimize this hinge loss with a polynomial kernel.”

Data Science 112

Data Science Machine Learning Advertising Modeling 112