Examples of using Logistic in English and their translations into Chinese
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Event management consists of exploring the complexity of branding, identifying the target audience, creating event concepts, and logistic planning.
Logistic Regression is also not one of the most powerful algorithms out there and can be easily outperformed by more complex ones.
As shown in the figure, the logistic function transforms the x-value of the various instances of the dataset, into the range of 0 to 1.
Regular truck transportation and Roll-on/Roll-off(Ro-Ro) ferry routes are continuing to add to the logistic services capacity.
A logistic regression is a very shallow model as it has only one layer(remember we don't count the input as a layer).
The assumption is that any logistic complexity can be managed through computerized automation, throwing in more computers and software as needed to scale.
Handheld Group, a leading manufacturer of rugged mobile computers, today announced an expansion of its strategic agreement with the global leader in logistic solutions.
Finally, we can train a supervised learning algorithm such as an SVM, logistic regression, etc. to obtain a function that makes predictions on the values.
The logistic curve is a good tool because it has a solid theoretical foundation in social behaviors.
The door also allows to simplify the application process and provides advice and administrative support, organizational and logistic operators, public and private.
The logistic function appears like a big‘S' and will change any value into the range 0 to 1.
Instead of passing through logistic function, it passes through the softmax function, which is written as.
In March, the Ministry of Natural Resources and Environment submitted a comprehensive plan for tapping the Arctic's mineral-deposit and logistic potential to the Government.
As the basis of the combination forecasting model, the linear regression and Logistic regression model are established, respectively at first.
Since its first publish 1996, ISG has been continuously focusing on and intensively covering the information on shipping, ports, logistic, and related industries.
As shown in the figure, the logistic function transforms the x-value of the various instances of the dataset, into the range of 0 to 1.
The prediction for the final output is transformed using a non-linear S-shaped function called the logistic function, g().
The goal of this Summer School is to display multiple ways to improve these logistic operations and enhance the performance of the so-called supply stream.
Note: This is a good place to point out the difference between deep learning and more traditional algorithms such as logistic regression.
A purely logistic view of mathematics was inadequate;… mathematical propositions possessed a variety of interpretations, of which the logistic was merely one.