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Enterprise Data Science Workflows with AMPs and Streamlit

Cloudera

Here in the virtual Fast Forward Lab at Cloudera , we do a lot of experimentation to support our applied machine learning research, and Cloudera Machine Learning product development. Only through hands-on experimentation can we discern truly useful new algorithmic capabilities from hype. Not all of them require a unique front-end.

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Belcorp reimagines R&D with AI

CIO Business Intelligence

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs.

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. Figure 4: Visualization of a central composite design. Figure 2: Spreading measurements out makes estimates of model (slope of line) more accurate. production, default) values.

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Topics to watch at the Strata Data Conference in New York 2019

O'Reilly on Data

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. It’s up two places from 2017 and up six places from 2016. (A

IoT 20
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Smarter Survey Results and Impact: Abandon the Asker-Puker Model!

Occam's Razor

With that as context, you can imagine how heart-broken I was when Jane shared the following visual from a study done by Econsultancy and Lynchpin. Visual perception of information. Ability to create insightful data visualizations. Hypothesis development and design of experimentation. Interpreting mathematical information.

Modeling 127
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Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

Human brains are not well suited to visualizing anything in greater than three dimensions. Visualizing data using t-SNE. We waved our finger in the air to select 64, so some experimentation and optimization are warranted at your end if you feel like it. The contemporary leading alternative to both word2vec and GloVe is fastText.