datapine

AUGUST 29, 2022

He founded the project Apache Storm in 2011, which turned to be “one of the world’s most popular stream processors and has been adopted by many of the world’s largest companies, including Yahoo!, James Warren, on the other part, is a successful analytics architect with a background in machine learning and scientific computing.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Domino Data Lab

OCTOBER 9, 2019

Clustering is a machine learning technique that enables researchers and data scientists to partition and segment data. Clustering, which plays a big role in modern machine learning, is the partitioning of data into groups. The result is visualized as a dendrogram in Figure 25.8. Introduction. head(wine). . >

Statistics 100

Statistics Machine Learning Metrics Measurement 100

AWS Big Data

APRIL 5, 2023

Showpad built new customer-facing embedded dashboards within Showpad eOSTM and migrated its legacy dashboards to Amazon QuickSight , a unified BI service providing modern interactive dashboards, natural language querying, paginated reports, machine learning (ML) insights, and embedded analytics at scale.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

DataRobot Blog

MAY 26, 2022

Validating Modern Machine Learning (ML) Methods Prior to Productionization. Validating Machine Learning Models. When the FRB’s guidance was first introduced in 2011, modelers often employed traditional regression -based models for their business needs.

Risk 52

Risk Modeling Metrics Business Objectives 52

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

AWS Big Data

MAY 4, 2023

Dataset Variables Disk Size Xarray Dataset Size Region ERA5 2011–2020 (120 netcdf files) 53.5GB 364.1 ERA5 ( historic_temp_regridded ) us-east-1 1512 711 427 202 Difference ( propogated pool ) us-west-2 and us-east-1 1527 906 469 251 The following graph visualizes the performance and scale.

Data Processing 96

Data Processing Metadata Informatics Interactive 96

BizAcuity

MAY 10, 2022

2011: IBM enters the cloud market with IBM SmartCloud. Microsoft also releases Power BI, a data visualization and business intelligence tool. Microsoft launches Azure ML Studio for machine learning capabilities on the cloud. AWS rolls out SageMaker, designed to build, train, test and deploy machine learning (ML) models.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Domino Data Lab

APRIL 3, 2019

Plus, the more mature machine learning (ML) practices place greater emphasis on these kinds of solutions than the less experienced organizations. That presented an opportunity to learn, putting me in the same position as much of the audience. Fun fact: in 2011 Google bought remnants of what had previously been Motorola.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Domino Data Lab

SEPTEMBER 25, 2019

Yet, because the last event affects the current event and ordering of events matter, we are obligated to use more specialized tools as compared to plain regression or classification machine learning algorithms. predict(usBest, n.ahead=5, se.fit=TRUE) $pred Time Series: Start = 2012 End = 2016 Frequency = 1 [1] 49292.41 theForecast. <-

Forecasting 87

Forecasting Modeling Statistics Optimization 87

Domino Data Lab

JANUARY 6, 2019

Meanwhile, employers who are betting that their teams accomplish substantial projects in data science, machine learning, data engineering, artificial intelligence, etc., I can plot a line from high school “Algebra II” to the math needed for machine learning. Data visualization for prediction accuracy ( credit: R2D3 ).

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Domino Data Lab

MARCH 3, 2019

Paco Nathan covers recent research on data infrastructure as well as adoption of machine learning and AI in the enterprise. O’Reilly Media published our analysis as free mini-books: The State of Machine Learning Adoption in the Enterprise (Aug 2018). Introduction. Welcome back to our monthly series about data science!

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Domino Data Lab

AUGUST 22, 2019

Learning word vectors for sentiment analysis. Note: In more technical machine learning terms, the cost function of the skip-gram architecture is to maximize the log probability of any possible context word from a corpus given the current target word.] Visualizing data using t-SNE. 2011) earlier in this chapter.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111