Domino Data Lab

MARCH 6, 2019

Niels Kasch , cofounder of Miner & Kasch , an AI and Data Science consulting firm, provides insight from a deep learning session that occurred at the Maryland Data Science Conference. You may also remember UMBC from the miracle at the 2018 NCAA Tournament.) Deep Learning on Imagery and Text. Introduction.

Deep Learning 55

Deep Learning Data Science Machine Learning Modeling 55

Domino Data Lab

APRIL 3, 2019

Plus it’s well-nigh time for “machine learning natives” to jump into the dialog about DG. So this month let’s explore these themes: 2018 represented a flashpoint for DG fails, prompting headlines worldwide and resulting in much-renewed interest in the field. More Policies Emerged” (2010-2018). for DG adoption in the enterprise.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Cloudera

SEPTEMBER 12, 2018

. — Mike Barlow, author of “Learning to Love Data Science” (O’Reilly Media). And now, without further delay, we are excited to announce the winners of the 2018 Data Impact Awards, listed by award theme and category: Business Impact. Enterprise Machine Learning: . Technical Impact.

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

CIO Business Intelligence

APRIL 15, 2022

Derek Driggs, a machine learning researcher at the University of Cambridge, together with his colleagues, published a paper in Nature Machine Intelligence that explored the use of deep learning models for diagnosing the virus. The algorithm learned to identify children, not high-risk patients.

Analytics 145

Analytics Machine Learning Insurance Testing 145

O'Reilly on Data

MARCH 20, 2019

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. Watermark attacks. Newer types of fair and private models (e.g.,

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Domino Data Lab

JULY 22, 2019

and drop your deep learning model resource footprint by 5-6 orders of magnitude and run it on devices that don’t even have batteries. The year 2018 was what Wall Street Journal called “ a global reckoning on data governance.” You see these drivers involving risk and cost, but also opportunity.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

JULY 2, 2019

AutoPandas was created at UC Berkeley RISElab and the general idea is described in the NeurIPS 2018 paper “ Neural Inference of API Functions from Input–Output Examples ” by Rohan Bavishi, Caroline Lemieux, Neel Kant, Roy Fox, Koushik Sen, and Ion Stoica. Program Synthesis Papers at ICLR 2018 ” – Illia Polosukhin (2018-05-01).

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Metadata Machine Learning Data Science Data-driven 105

Domino Data Lab

MARCH 16, 2021

Leaders need to know how to avoid the risk of unethical, biased, or misunderstood models. 2018) Simple meaningless data processing steps, may cause saliency methods to result in significant changes (Kindermans et al., DeepLIFT was recently proposed as a recursive prediction explanation method for deep learning [8, 7].

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Modeling Deep Learning Testing Optimization 122

Domino Data Lab

MARCH 3, 2019

O’Reilly Media published our analysis as free mini-books: The State of Machine Learning Adoption in the Enterprise (Aug 2018). The data types used in deep learning are interesting. The data types used in deep learning are interesting. One-fifth use reinforcement learning.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

O'Reilly on Data

SEPTEMBER 11, 2019

So, we used a form of the Term Frequency-Inverse Document Frequency (TF/IDF) technique to identify and rank the top terms in this year’s Strata NY proposal topics—as well as those for 2018, 2017, and 2016. 2) is unchanged from Strata NY 2018, it’s up three places from Strata NY 2017—and eight places relative to 2016. 221) to 2019 (No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Smart Data Collective

MAY 17, 2021

billion in 2018. A machine learning tool might flag certain vehicles as high risk, using ingested parameters and insights, in which case they can be delegated to local or short-range deliveries. A fleet must be outfitted with these technologies to benefit, whether natively or after the fact using add-on solutions.

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Big Data Cost-Benefit IoT Machine Learning 100

Domino Data Lab

MAY 8, 2019

2018-06-21). That’s a risk in case, say, legislators – who don’t understand the nuances of machine learning – attempt to define a single meaning of the word interpret. Given how so much of IT gets driven by concerns about risks and costs, in practice auditability tops the list for many business stakeholders.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Insight

MARCH 28, 2019

For the Fall 2018 session of the Insight Fellows Program in NYC, we launched a new partnership with Thinknum , a company that provides alternative data indexed from the web to institutional investors and corporations? Utilize information hidden away in online employee reviews.

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Dashboards Visualization Data Science Machine Learning 70

Insight

DECEMBER 30, 2019

Lauren Holzbauer was an Insight Fellow in Summer 2018. Encourages “location invariance” (helps the network be more tolerant of small shifts in images) Limits the risk of overfitting The Fully Connected Layer Convolutional and pooling layers are referred to as “partially connected” layers.

Visualization 72

Visualization Modeling Machine Learning IT 72

O'Reilly on Data

MAY 21, 2019

This is a good time to assess enterprise activities, as there are many indications a number of companies are already beginning to use machine learning. For example, in a July 2018 survey that drew more than 11,000 respondents, we found strong engagement among companies: 51% stated they already had machine learning models in production.

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