Examples of using The machine learning in English and their translations into Vietnamese
{-}
-
Colloquial
-
Ecclesiastic
-
Computer
Everything starts with the model, a prediction that the machine learning system will use.
We found that the machine learning technique typically guessed a slightly younger age for women than their actual age,” he said.
In index B, the signal values are known to the algorithm butare not incorporated into the machine learning system.
But in the machine learning world, it's one of the most ingenious companies that today uses deep learning. .
It also launched an AI Ethics Speaker Series andadded a technical module on fairness to the Machine Learning Crash Course.
People also translate
Some of the popular tools used by the machine learning engineers are TensorFlow, Keras, PyTorch, scikit-learn, Caffe etc.
You still have people trying to figure out the best way to process signals,and then what do you do with the machine learning;
The machine learning question is, can you estimate what is the probability, what is the chance that a tumor is malignant versus benign?
And the report notes that"hyper-parameters," variables of the machine learning model being used, have to be tuned very, very carefully.
The machine learning system has reached the point where it can separate the 20 percentage of inappropriate accounts in the registration phase.
It has caused a stir in the Machine Learning community by presenting state-of-the-art results in a wide variety of NLP tasks, including Question Answering SQuAD v1.
I believe that in the machine learning world, there are likely fewer humans reviewing these anomalies than there used to be, but the machines apply the same constructs.
In this post, you learned about the concepts related to Sensitivity and Specificity andhow are they used for measuring the machine learning model performance.
In particular, I will guide you step by step in the Machine Learning theory as well as in its practical application with the programming language R.
The machine learning master's program establishes the theoretical and practical foundations necessary to be at the forefront of progress in the next technological revolution.
Google Ads will also introduce a new campaign type toincrease the ease of online advertising by bringing the machine learning technology of Google Ads to small businesses.
It adapts the optimization process of the Machine Learning Pipeline in real time and provides recommendations for model, process and hyperparameter selections.
All the data you use for training needs to be well labelled, and labelled with the features thatmatch the questions you're going to ask the machine learning system, which takes a lot of work.
Many are familiar with AlphaGo, the machine learning AI which became the world's best Go a player after studying a massive training data-set comprised of millions of human Go moves.
They have been working in partnership with hospitals andresearchers to determine what the machine learning needs to analyze to learn how to diagnose a patient's medical condition.
In fact, if I were the machine learning algorithm, I would complain enormously if you tied my hands on this set of possible metrics while directing me to create the best set of search results.
In this post, we will try and understand the concepts behind evaluation metrics such as sensitivity andspecificity which is used to determine the performance of the machine learning models.
Google explained you have to help add in some frequent sense rules,some human guidance that makes it possible for the machine learning procedure to comprehend how various objects might add as much as a function.
We realize that most of our training data included only objects in full daylight, so we construct a better dataset including nighttime images andgo back to the machine learning step.
It has caused a stir in the Machine Learning community by presenting state-of-the-art results in a wide variety of NLP tasks, including Question Answering(SQuAD v1.1), Natural Language Inference(MNLI), and others.
On March 24, 1974, OpenAI in a statement entitled"Evolution Strategies as aScalable Alternative to Reinforcement Learning" shook the Machine Learning/ AI industry with results from their research.
Once the machine learning model is prepared, the package will enable developers to ship their code to Azure Batch AI- a new cloud service providing an environment for machine learning models to be trained.
In a wide ranging video interview, the unassuming 36-year-old Vietnamese AI expert spoke on his inspiration, the tech behind and the road ahead for AutoML,and its important new role in the machine learning field.