Domino Data Lab

APRIL 21, 2021

In this article, we’ll discuss the challenge organizations face around fraud detection, how machine learning can be used to identify and spot anomalies that the human eye might not catch. In contrast, the decision tree classifies observations based on attribute splits learned from the statistical properties of the training data.

Statistics 69

Statistics Machine Learning Modeling Metrics 69

Domino Data Lab

DECEMBER 1, 2019

In the context of machine learning, we consider data drift 1 to be the change in model input data that leads to a degradation of model performance. A Survey on Concept Drift Adaptation” ACM Computing Survey Volume 1 , Article 1 (January 2013). LeCun, Yann; Corinna Cortes; Christopher J.C.

Modeling 77

Modeling Machine Learning Deep Learning Testing 77

Domino Data Lab

JANUARY 6, 2019

I’ve been teaching data science since 2008 privately for employers – exec staff, investors, IT teams, and the data teams I’ve led – and since 2013, for industry professionals in general. If you live on the furthermost edges of rural Newfoundland (as some of my relatives do), then remote learning via MOOCs is probably a good option.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Sisense

DECEMBER 11, 2019

Kongregate has been using Periscope Data since 2013. The easy set-up and access to embedded analytics enable them to measure KPIs, get game statistics, monetization and retention statistics that help them to optimize players’ experience, hone best practices and benchmarks, and maximize stickiness and profitability.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Domino Data Lab

JULY 9, 2019

Wiggins advocated that data scientists find problems that impact the business; re-frame the problem as a machine learning (ML) task; execute on the ML task; and communicate the results back to the business in an impactful way. I still believe that data science is the craft of trying to apply machine learning to some real world problem.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Sisense

JUNE 26, 2020

Machine learning and advanced analytics are helping humans make sense of large amounts of structured and unstructured data by leaning into our natural ability to make a better sense of visuals than the raw data we want to understand. It will get us to the complete statistical data for each feature. Bivariate analysis.

Visualization 97

Visualization Unstructured Data Measurement Data-driven 97

Insight

MARCH 12, 2020

In 2013, Robert Galbraith?—?an The most powerful approach for the first task is to use a ‘language model’ (LM), i.e. a statistical model of natural language. an aspiring author?—?finished finished his first novel, Cuckoo’s Calling. often without even looking at it. features) and metadata (i.e.

Modeling 59

Modeling Metadata Publishing Sales 59

Domino Data Lab

AUGUST 22, 2019

Although it’s not perfect, [Note: These are statistical approximations, of course!] word2vec is an unsupervised learning technique—that is, it is applied to a corpus of natural language without making use of any labels that may or may not happen to exist for the corpus. Journal of Machine Learning Research, 9, 2579–605.].

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Jet Global

MAY 1, 2023

Companies like Tableau (which raised over $250 million when it had its IPO in 2013) demonstrated an unmet need in the market. Advanced Analytics Some apps provide a unique value proposition through the development of advanced (and often proprietary) statistical models. Users’ varied needs require a shift in traditional BI thinking.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52