Examples of using Preparing data in English and their translations into Chinese
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Programming
Preparing data concerning specific topics.
Statistical methods are necessary when cleaning and preparing data for modeling.
Preparing data and selecting the model parameters is a key part of any data scientist's job.
The other 80 percentsaid their hands are full simply preparing data and providing basic analytics.
This layer is primarily responsible for preparing data so that it can be used by the application layer;
Business users need to further reduce the time and complexity of preparing data for analysis.
At the end of the day, preparing data for analysis can take up to 80% of the time devoted to a typical project.
Data Scientists spend over 80% of their time preparing data for analysis.
Analysts spent much of their time preparing data for analysis and relatively little time on the analysis itself.
In fact, a Harvard Business Review publication confirmed what we always knew:analytics teams spend 80% of their time preparing data.
Before preparing data, it is crucial to understand its location, structure, and composition, along with granular details like field definitions.
Alternative approaches for gathering and preparing data for IPSAS opening balances are also being analysed.
More than 70% of employees have access to data they should not, and80% of analysts' time is spent simply discovering and preparing data.
That meant buying Watson- and then preparing data for Watson- was more a big integration project than a product purchase.
Smith said there have been recent studies showing that many Data Scientists spend close to80 percent of their time just finding and preparing data.
Among other things, that means preparing data for data scientists differently than it is prepared for business analysts.
Coordination and control of in-house translation projects(performing feasibility checks,creating quotations, preparing data, performing QA and layout checks).
TensorFlow Extended is an end-to-end platform for preparing data, training, validating, and deploying models in large production environments.
Expert judgement will continue tobe required in these cases for formulating assumptions for preparing data sets and running the models, and for interpreting model results.
The tool assists non-technical employees with preparing data, calibrating parameters and determining the optimal algorithms for tackling specific business problems with machine learning.
Simply choose Transform menugt; Prepare Data for Modeling and click on Automatic.
The role of a data scientist is to extract and prepare data, conduct advanced analytics, and apply the findings to improve products or production.
Lunit prepares data, trains its neural network, and then provides feedback to improve the detection via validation.
Industrial data scientists extract and prepare data, conduct advanced analytics, and apply the findings to improve products or production.
Connect hundreds of sources with SmartyData, easily prepare data and create powerful reports in a few minutes.
It took over a year ofdedicated effort by my entire team to extract and prepare data to help with this exciting project.
The Statistics Division also prepared data and analysis for the aforementioned 2007 report of the Secretary-General to the General Assembly on the work of the Organization and its statistical annex.