Smart Data Collective

NOVEMBER 6, 2019

billion in 2018 and is expected to be worth $66.3 With this kind of growth, data collection and use are essential to the Cannabis industry in many ways. The access to a vast amount of data, allows growers to optimize for environmental changes and variables and can even change the strain of the product,” she writes.

Big Data 48

Big Data Marketing Advertising Testing 48

CIO Business Intelligence

MAY 17, 2022

The following real-world implementation issues highlight prominent risks every IT leader must account for in putting together their company’s AI deployment strategy. Last month, a leaked Facebook document obtained by Motherboard showed that Facebook has no idea what’s happening with its users’ data. “We Public relations disasters.

Risk 141

Risk Consulting Machine Learning Data Science 141

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. In short, I was faced with two major difficulties regarding data collection: I didn’t have nearly enough images, and the images I did have were not representative of a realistic gym environment.

Metrics 58

Metrics Optimization Modeling Testing 58

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. This data allows them to identify, change, and test the effectiveness of typical passages of play.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

AWS Big Data

FEBRUARY 1, 2024

Common Crawl data The Common Crawl raw dataset includes three types of data files: raw webpage data (WARC), metadata (WAT), and text extraction (WET). Data collected after 2013 is stored in WARC format and includes corresponding metadata (WAT) and text extraction data (WET).

Metadata 96

Metadata Modeling Data Processing Unstructured Data 96

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. Plus blatant overuse of intertextual parataxis.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Domino Data Lab

OCTOBER 23, 2019

You can add a Makefile command test that will run all of your notebooks by issuing. test: py.test --nbval notebooks/*.ipynb. In addition, having a larger set of data such that the model could be split into test versus training data would ensure better accuracy and reduce the chance of overfitting.

Statistics 59

Statistics Machine Learning Testing Modeling 59