Domino Data Lab

JANUARY 6, 2019

In Paco Nathan ‘s latest column, he explores the theme of “learning data science” by diving into education programs, learning materials, educational approaches, as well as perceptions about education. He is also the Co-Chair of the upcoming Data Science Leaders Summit, Rev. Introduction. Learning Data Science.

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Sisense

DECEMBER 11, 2019

With data growing at a staggering rate, managing and structuring it is vital to your survival. In this piece, we detail the Israeli debut of Periscope Data. Driving startup growth with the power of data. Driving startup growth with the power of data. It’s the aspiration of every startup. What VCs want from startups.

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Data Lake Big Data Sales Data-driven 80

Insight

AUGUST 16, 2019

The industry demand for Data Engineers is constantly on the rise, and with it more and more software engineers and recent graduates try to enter the field. The biggest hurdle for newcomers lies in understanding the Data Engineering landscape and getting hands-on experience with relevant frameworks. Want to Become a Data Engineer?

Big Data 51

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Ontotext

JANUARY 21, 2021

Introduction. The Financial Industry Business Ontology (FIBO) is a standard that is being developed and published by the Enterprise Data Management Council that attempts to capture business domain knowledge using sophisticated knowledge representation techniques and linked open data technologies. This is a nontrivial task.

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Modeling Finance Technology Insurance 72

The Unofficial Google Data Science Blog

AUGUST 31, 2016

By DAVID ADAMS Since inception, this blog has defined “data science” as inference derived from data too big to fit on a single computer. Thus the ability to manipulate big data is essential to our notion of data science. While MapReduce remains a fundamental tool, many interesting analyses require more than it can offer.

Data Science 66

Data Science Sales Optimization Cost-Benefit 66

Domino Data Lab

MAY 8, 2019

Introduction. For example, common practices for collecting data to build training datasets tend to throw away valuable information along the way. The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Welcome back to our monthly burst of themes and conferences.

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Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Introduction. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science. Of course!!”

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Data Science Experimentation Data-driven Machine Learning 66

Insight

DECEMBER 30, 2019

Wikipedia In our last blog , we walked through a super fast introduction of “vanilla” flavored neural networks. Let’s use our ninja skills to figure out what CNNs are really doing. Lauren Holzbauer was an Insight Fellow in Summer 2018. We talked about how a vanilla neural net is made up of one or more “hidden” layers. Let’s dig in!

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Visualization Modeling Machine Learning IT 72

Domino Data Lab

AUGUST 22, 2019

Introduction. Introduction. Data scientists and researchers require an extensive array of techniques, packages, and tools to accelerate core work flow tasks including prepping, processing, and analyzing data. Utilizing NLP helps researchers and data scientists complete core tasks faster.

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Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. Introduction. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. What’s a Foo?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Edwin Chen

JULY 30, 2012

I wanted to play around with the data a bit first just to get a rough feel, so I made an app to interact with the network around each node. A couple weeks ago, Facebook launched a link prediction contest on Kaggle, with the goal of recommending missing edges in a social graph. Exploration. What does the network look like?

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Metrics Testing Machine Learning Modeling 81

CIO Business Intelligence

SEPTEMBER 6, 2023

The offer ranges from AI and machine learning for beginners, to the Prompt Engineering learning path, to training courses on programming languages ​​such as Python, deep learning and neural networks, reinforcement learning, RPA, and natural language processing. AI is intended to improve and facilitate the day-to-day work of employees.

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Digital Transformation Interactive Machine Learning Deep Learning 106