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

datapine

NOVEMBER 19, 2019

Exciting and futuristic, the concept of computer vision is based on computing devices or programs gaining the ability to extract detailed information from visual images. Visual analytics: Around three million images are uploaded to social media every single day. Artificial Intelligence (AI).

Technology 279

Technology Internet of Things IT IoT 279

Domino Data Lab

AUGUST 8, 2019

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. Latest in machine learning research centers rapidly expanding in Africa? then building machine learning models to recommend methods and potential collaborators to scientists.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Rita Sallam

JULY 31, 2017

Machine learning automation is affecting all of enterprise software, but will completely transform how we build, analyze, and consume data and analytics. Over the past 10 years or more, visual-based data discovery tools (e.g. Tableau, Qlik, Tibco Spotfire) have disrupted the traditional BI market (e.g. Happy Summer!!

Marketing 72

Marketing Analytics Machine Learning Data Science 72

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. An ML-related topic, “models,” was No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Rita Sallam

NOVEMBER 11, 2016

As a long-time observer and some would say that stern 1 st grade teacher of Tableau since its early childhood, it is clear to me that Tableau has now put on its big girl pants – and Tableau 2016, its annual user conference, with more than 13,000 attendees was Tableau’s coming of age party. What’s on Deck for 2017? Enterprise Features.

Visualization 49

Visualization Metrics Machine Learning Enterprise 49

Insight

JUNE 10, 2019

In 2016, Uber published its Uber Elevate White Paper , setting its aspirations on providing on-demand air taxis from San Francisco to San Jose for about $130. Alexander | June 1, 2016 Training a c onvolution neural network (CNN) to spot helipads The solution I developed rests on retraining a CNN to recognize helipads in aerial images.

Breakeven 69

Breakeven Modeling Testing Marketing 69

Domino Data Lab

OCTOBER 23, 2019

As Domino is committed to supporting data scientists and accelerating research, we reached out to Addison-Wesley Professional (AWP) Pearson for the appropriate permissions to excerpt “Predicting Social-Media Influence in the NBA” from the book, Pragmatic AI: An Introduction to Cloud-Based Machine Learning by Noah Gift. 35,vjust=1).

Statistics 59

Statistics Machine Learning Testing Modeling 59

BizAcuity

MAY 10, 2022

Microsoft also releases Power BI, a data visualization and business intelligence tool. Microsoft launches Azure ML Studio for machine learning capabilities on the cloud. It is faster and more scalable than Virtual Machines. 2016: Oracle launches with competencies across compute, storage, and networking.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

datapine

AUGUST 29, 2022

James Warren, on the other part, is a successful analytics architect with a background in machine learning and scientific computing. It was lately revised and updated in January 2016. To start a more in-depth grasp of your own data sets, you can try our online data visualization tool for free with a 14-day trial !

Big Data 263

Big Data Data Analytics Analytics Data mining 263

The Data Visualisation Catalogue

FEBRUARY 16, 2023

In short, it’s the theory that the original, “human” internet died around 2016-17 and has now been taken over by bots who produce content to manipulate people and to get them to buy stuff. Paolo Ciuccarelli, founder of DensityDesign research lab recently wrote a post on What AI knows about data visualization and data storytelling.

Dashboards 121

Dashboards Consulting Machine Learning Technology 121

The Unofficial Google Data Science Blog

APRIL 23, 2024

Figure 4: Visualization of a central composite design. 17:263-287, 2016. [10] Journal of Machine Learning Research, 17(83):1–5, 2016. [23] Central composite designs are made of three parts. The center part is one or more experiments in which parameters take their control (i.e., production, default) values.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Domino Data Lab

AUGUST 1, 2021

The interest in interpretation of machine learning has been rapidly accelerating in the last decade. This can be attributed to the popularity that machine learning algorithms, and more specifically deep learning, has been gaining in various domains. 2016) for an example of this technique (LIME).

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Domino Data Lab

AUGUST 22, 2019

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.] Human brains are not well suited to visualizing anything in greater than three dimensions. Visualizing data using t-SNE.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

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

Forecasting 87

Forecasting Modeling Statistics Optimization 87