Sisense

DECEMBER 11, 2019

In our Event Spotlight series, we cover the biggest industry events helping builders learn about the latest tech, trends, and people innovating in the space. The challenge is to do it right, and a crucial way to achieve it is with decisions based on data and analysis that drive measurable business results. What VCs want from startups.

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CDW Research Hub

JULY 31, 2019

In this series, I’ll walk you through the design, development and deployment of a contextual AI assistant that designs curated travel experiences. These deep learning models can analyze large volumes of text and provide things like text summarization, language translation, context modeling, and sentiment analysis.

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Domino Data Lab

JULY 2, 2019

On deck this time ’round the Moon: program synthesis. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated. Then click the Synthesize button in AutoPandas to get back a snippet of code in Python. BTW, videos for Rev2 are up: [link]. Program Synthesis.

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bridgei2i

JANUARY 25, 2022

Listening time: 18 minutes. The main intent behind this podcast series is actually to bring out the inspiring stories of the amazing people of BRIDGEi2i by exploring the journey which led them to who they are now. PODCAST: Making AI Real. The Basic Guide to Data Science at the Workplace. Subscribe Now. Transcript.

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Domino Data Lab

FEBRUARY 4, 2019

Welcome back to our monthly series about data science. We’ll also take a peek at industry survey analysis which describes where organizations get stalled in the data game. Of course!!” Introduction. and dig into details about where science meets rhetoric in data science. Modernists and structuralists beware. Yeah, not so much.

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Domino Data Lab

AUGUST 8, 2019

Secondly: some key insights discussed at Sci Foo finally clicked for me—after I’d heard them presented a few times elsewhere. Having participated in several Foo Camps—and even co-chaired the Ed Foo series in 2016-17— most definitely, a Foo will turn your head around. Introduction. In mid-July I got to attend Sci Foo , held at Google X.

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The Unofficial Google Data Science Blog

MARCH 13, 2017

Of course, there is benefit to an improved understanding of deep networks beyond the satisfaction of curiosity — developers can use this to debug and improve models; end-users can understand the cause of a model’s prediction, and develop trust in the model. Deep networks have had remarkable success in variety of tasks.

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Domino Data Lab

AUGUST 22, 2019

RNNs natively handle information that occurs in sequences such as natural language, but they can, in fact, handle any sequential data—such as financial time series or temperatures at a given geographic location—so they’re quite versatile. A complementary Domino project is available. Introduction. words), which we call tokens.

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O'Reilly on Data

DECEMBER 9, 2019

We develop an ordinary least squares (OLS) linear regression model of equity returns using Statsmodels, a Python statistical package, to illustrate these three error types. Three reasons why confidence intervals should not be used in financial data analyses. The interval [-a, a] is called a 90% confidence interval.

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DataRobot

FEBRUARY 22, 2021

DataRobot’s team of elite data scientists and thought leaders have created, curated, and taught rigorous courses that empower 10X Academy students to take control of their future by gaining the skills required to solve complex problems. DataRobot is excited to announce the graduation of the first class of our 10X Applied Data Science Academy.

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O'Reilly on Data

JANUARY 25, 2021

Real trends unfold on much longer time scales and may take several steps backward during the process: civil rights, for example. We’ve explored usage across all publishing partners and learning modes, from live training courses and online events to interactive functionality provided by Katacoda and Jupyter notebooks.

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