Depict Data Studio

APRIL 10, 2023

Visualizing data in charts, graphs, dashboards, and infographics is one of the most powerful strategies for getting your numbers out of your spreadsheets and into real-world conversations. Apply the Squint Test In these before scatter plot on the left, the cluttered appearance distracts us from the data. Apply the Squint Test.

Visualization 105

Visualization Dashboards Testing Reporting 105

Occam's Razor

DECEMBER 3, 2012

But a robust digital marketing strategy for medium- or large-sized businesses encompasses so much more. What is a good way to self-identify gaps in strategy, to discover the mistakes that might be making your strategy sub-optimal? Is Your Digital Strategy Magnificent? Reality, as is its wont, is much more complex.

Marketing 147

Marketing Advertising Strategy Optimization 147

Domino Data Lab

APRIL 21, 2021

from sklearn import metrics. This is to prevent any information leakage into our test set. 2f%% of the test set." 2f%% of the test set." Fraudulent transactions are 0.17% of the test set. There are different approaches to this strategy, with the two most commonly used being random oversampling and SMOTE.

Statistics 69

Statistics Machine Learning Modeling Metrics 69

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

With more features come more potential post hoc hypotheses about what is driving metrics of interest, and more opportunity for exploratory analysis. Yet when we use these tools to explore data and look for anomalies or interesting features, we are implicitly formulating and testing hypotheses after we have observed the outcomes.

Experimentation 61

Experimentation Testing Statistics Metrics 61

Insight

JANUARY 14, 2020

CNNs have been widely considered state-of-the-art tools for computer vision since 2012, when AlexNet won the ImageNet Large Scale Visual Recognition Challenge (ILSVRC). I was familiar with the strategy of using data augmentation techniques (such as flipping, shearing, zooming, etc.) We pass 3 parameters: loss, optimizer , and metrics.

Metrics 58

Metrics Optimization Modeling Testing 58

DataRobot Blog

APRIL 4, 2022

This metric is important to discover the fluctuation in sales that is due to seasonal demand patterns versus the sales generated by pricing or media. The argument has always been that ML models are too opaque ( black-box ) to be able to produce the level of insights and transparency needed for marketing strategy setting.

Machine Learning 52

Machine Learning Sales Measurement ROI 52

Domino Data Lab

MARCH 3, 2019

What metrics are used to evaluate success? I’m here mostly to provide McLuhan quotes and test the patience of our copy editors with hella Californian colloquialisms. That represents a significant shift in strategy and cloud providers stand to benefit. What’s been the impact of using ML models on culture and organization?

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

The Unofficial Google Data Science Blog

JUNE 30, 2016

A naïve way to solve this problem would be to compare the proportion of buyers between the exposed and unexposed groups, using a simple test for equality of means. In fact, Hainmueller (2012) show that entropy balancing is equivalent to estimating the weights as a log-linear model of the covariate functions $c_j(X)$.

Statistics 44

Statistics Optimization Modeling Experimentation 44