Examples of using To machine learning in English and their translations into Chinese
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I am new to Machine Learning.
And I think they apply the same model to machine learning.
The key to machine learning is data.
You need a top-down approach to machine learning.
But there are important limits to machine learning, and the biggest of these is that it still requires humansto frame the right question.
People also translate
This problem, however, is not limited just to machine learning.
NET's model-based approach to machine learning is what sets their framework apart.
Spectrum: How does that translate to machine learning?
This book starts with an introduction to machine learning and the Python language and shows you how to complete the setup.
Maybe their own works becomes redundant due to machine learning.
Most of the companies turn to Machine Learning to solve this problem.
Data science is normally regarded as the prerequisite to machine learning.
Graphics chips in particular were well-suited to machine learning, cryptocurrency mining, and other highly“embarrassingly parallel” operations;
Java has many statistical libraries for doing everything from optimization to machine learning.
It is not related to machine learning.
Finally, you will learn about some of SiliconValley best practices in innovation as it pertains to machine learning and AI.
It all boils down to machine learning.
Thanks to machine learning, it's now possible to create a million different sensors in software using only one actual sensor-- the camera.
Udacity 's Intro to Machine Learning.
But in late 2018, the Berkley OpenAI groupdemonstrated that this hurdle may finally succumb to machine learning as well.
That's the sort of broad-scale approach to machine learning that makes it a truly transformative force in the enterprise, rather than just a transitional half-step.
WEKA machine learning suite, which is dedicated to machine learning and data mining.
We provide a general introduction to machine learning, aimed to put all participants on the same page in terms of definitions and basic background.
Researchers and government officials will useSummit to carry out a variety of tasks tied to machine learning, neural networks and artificial intelligence.
There are more than 15 approaches to machine learning, each of which uses a different algorithmic structure to optimise predictions based on the data received.
There are a few subfields of mathematics which are more relevant to machine learning and ought to be reviewed in more detail.
Taken Intro to Machine learning and have understanding of common supervised learning and unsupervised learning algorithms, such as SVM and k-means clustering.
As individuals, we need to become more skilled at navigating the value-exchange,from CRISPR to machine learning, from artificial intelligence to emotional technology.
Students of the program"Applied Mathematics andComputer Science" study disciplines related to machine learning, artificial intelligence, data analysis and many other modern technologies.