Remove top-down-vs.-bottom-up-approaches-to-data-science
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Top-Down vs. Bottom-Up Approaches to Data Science

Dataiku

Data projects are generally organized in one of two ways: top-down (that is, starting with the business question) or bottom-up (starting with the data and working up to insights). But is there a right way, and is one approach better or more effective than the other?

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Convolutional Neural Networks Explained…with American Ninja Warrior

Insight

We talked about how a vanilla neural net is made up of one or more “hidden” layers. The CNN: A fundamental shift in how we approach computer vision CNNs are an exciting flavor of neural net. Let’s use our ninja skills to figure out what CNNs are really doing. Lauren Holzbauer was an Insight Fellow in Summer 2018. Let’s dig in!

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Take Advantage Of The Best Interactive & Effective Data Visualization Examples

datapine

Table of Contents 1) The Benefits Of Data Visualization 2) Our Top 27 Best Data Visualizations 3) Interactive Data Visualization: What’s In It For Me? 4) Static vs. Animated Data Visualization Data is the new oil? No, data is the new soil.” This very notion is the core of visualization.

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Enable Multi-AZ deployments for your Amazon Redshift data warehouse

AWS Big Data

Amazon Redshift is a fully managed, petabyte scale cloud data warehouse that enables you to analyze large datasets using standard SQL. Data warehouse workloads are increasingly being used with mission-critical analytics applications that require the highest levels of resilience and availability.

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. The fill report is here: Leadership Vision for 2021: Data and Analytics. Do you recommend a consulting approach strategy rather than a CDO strategy?