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

Insight

JANUARY 14, 2020

Will a network trained with fake data be able to generalize to the real world? Lauren Holzbauer was an Insight Fellow in Summer 2018. CNNs have been widely considered state-of-the-art tools for computer vision since 2012, when AlexNet won the ImageNet Large Scale Visual Recognition Challenge (ILSVRC). Read on to find out more!

Metrics 58

Metrics Optimization Modeling Testing 58

Depict Data Studio

OCTOBER 29, 2019

I have organized the changes into three main areas: report style and colour schemes, graphs and qualitative data and I will show my work from three different evaluation reports I wrote (2012, 2018 and 2019). Here’s what my reports’ styles and colour schemes looked like in my reports from 2012, 2018, and 2019. So many words.

Reporting 40

Reporting Consulting Visualization Data Collection 40

Sisense

JUNE 9, 2021

Sensors in these devices connect to cellular phone transmitters or the club’s Wi-Fi network to monitor the data feeds. The data collected by these devices is used to design personalized training plans. These types of insights are mainly gathered from playing logs, video and GPS tracking, and spatially related data.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. 2018-06-21). ML model interpretability and data visualization. Riccardo Guidotti, et al.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

JULY 22, 2019

He also really informed a lot of the early thinking about data visualization. It involved a lot of interesting work on something new that was data management. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

FEBRUARY 4, 2019

People who attended JupyterCon 2017–2018 can attest, an “industry poster session” includes an open bar, catered hors d’oeuvres, lots of mingling … to paraphrase feedback from JupyterCon, “As a tech person, would I get up extra early to meet strangers for coffee at 8:00 am? I double-dare you not to visualize that cohort!

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

MARCH 3, 2019

Then, when we received 11,400 responses, the next step became obvious to a duo of data scientists on the receiving end of that data collection. Over the past six months, Ben Lorica and I have conducted three surveys about “ABC” (AI, Big Data, Cloud) adoption in enterprise.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Domino Data Lab

OCTOBER 23, 2019

R has yet one more way to visualize these relationships in multiple dimensions. With all the data collected, there are some interesting new plots to test out. By combining the endorsement, team, and player data, it is possible to make a couple of fascinating plots. Next, we are going to create a plot using ggplot in R.

Statistics 59

Statistics Machine Learning Testing Modeling 59

Depict Data Studio

SEPTEMBER 15, 2020

On her podcast, we talked about my unexpected shift from being an evaluator to a data visualization designer, along with my tips getting started working for yourself or teaching online. I would help train their nonprofits on evaluation, data collection, data analysis, and data visualization.

Visualization 105

Visualization Consulting Dashboards Reporting 105