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14 essential book recommendations by and for IT leaders

CIO Business Intelligence

This step-by-step guide to designing a high-functioning organization helps you understand four team types and interaction patterns and helps you to type and build it. “It By defining team types, their fundamental interactions, and the science behind them, you learn how to better model your organizations according to these definitions. “I

IT 130
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AI Advances Drive New Generation of Browser-Based Solutions

Smart Data Collective

People use it to send messages, photos, and videos that disappear after 24 hours or interact with creative camera filters. You can test the web-based trading app’s features with a demo account and only request a real account when you’re ready to trade with real money.

Risk 114
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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. Testing out a new feature. Identify, hypothesize, test, react. But at the same time, they had to have a real test of an actual feature. You don’t need a beautiful beast to go out and test.

Metrics 156
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Adding Common Sense to Machine Learning with TensorFlow Lattice

The Unofficial Google Data Science Blog

For example, consider the following simple example fitting a two-dimensional function to predict if someone will pass the bar exam based just on their GPA (grades) and LSAT (a standardized test) using the public dataset (Wightman, 1998). Curiosities and anomalies in your training and testing data become genuine and sustained loss patterns.

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Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

Agile was originally about iterating fast on a code base and its unit tests, then getting results in front of stakeholders. Being solely a mechanized matter of “training data creates model, evaluated on testing data,” perhaps it could be translated into purely engineering terms. Agile to the core.

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Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

The need for interaction – complex decision making systems often rely on Human–Autonomy Teaming (HAT), where the outcome is produced by joint efforts of one or more humans and one or more autonomous agents. After forming the X and y variables, we split the data into training and test sets. 1 570 0 230 Name: credit, dtype: int64.

Modeling 139
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6 Case Studies on The Benefits of Business Intelligence And Analytics

datapine

Everything is being tested, and then the campaigns that succeed get more money put into them, while the others aren’t repeated. This methodology of “test, look at the data, adjust” is at the heart and soul of business intelligence. This company was originally founded in 2009 as a black car-hailing service in San Francisco.