Examples of using We will be using in English and their translations into Chinese
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Political
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Ecclesiastic
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Programming
Additionally, to perform network-related operations, we will be using the Fuel library, which has a very concise Kotlin-based API.
For this guide, we will be using the Ubuntu root account because that's typically the only account available by default on newly created servers.
We will be using a piezo buzzer that makes a small“click” when you apply voltage to it(try it!).
You can choose between several transpilers, but we will be using TypeScript, which is what the Angular team uses to write Angular.
We will be using curl to do this but you can use any tool that allows you to make HTTP/REST calls.
We will be using Maven and Eclipse for this course, and we strongly suggest that you use them as well.
We will be using both Photoshop and Illustrator to achieve the hand-drawn effect and it won't take you more than 30 minutes.
We will be using additional results data and local constituency information to give audiences their local view in new ways across these platforms.
You can follow along with HuffPost Pit Bull Week here, or on Facebook and Twitter where we will be using the hashtag PitBullWeek.
Many of these strips come with an infrared remote to control them, though in this project we will be using an Arduino to instead.
This includes some styling for the components, some libraries we rely on, and the library with the actual component we will be using.
The bad guys will be using machine learning to automate their attacks, and we will be using machine learning to defend.”.
We will be using OpenWeatherMap¹⁹ API to retrieve data, and some regular classes for the request.
In 2018, we will be using the safest and easiest object to use for authentication- our faces.
Since we will be using scientific computing and machine learning packages at some point, I suggest that you install Anaconda.
In order to explore these visualization methods in a variety of contexts, we will be using a few different datasets from the UCI Machine Learning Repository.
We will be using GPUs for training networks on the larger-scale tasks, and we expect many of our users to do the same.
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Since we will be using two models in parallel, we need to specify which model we are using. .
We will be using ApacheCouchDB powered by IBM Cloudant to stream the data to the NoSQL database function we just created.