Below you will find example sentences with "machine learning". The examples show how this phrase is used in natural context and which words often surround it.

Machine Learning in a sentence

Corpus data

  • Displayed example sentences: 20
  • Discovered as a combination around: learning
  • Corpus frequency in the collocation scan: 27
  • Phrase length: 2 words
  • Average sentence length: 27 words

Sentence profile

  • Phrase position: 8 start, 12 middle, 0 end
  • Sentence types: 20 statements, 0 questions, 0 exclamations

Corpus analysis

  • The phrase "machine learning" has 2 words and usually appears in the middle in these examples. The average sentence has 27 words and is mostly made up of statements.
  • Around this phrase, patterns and context words such as ai and machine learning applications has, ai or machine learning businesses need, data, deep and models stand out.
  • In the phrase index, this combination connects with turing machine, machine gun, remote learning, remote learning and distance learning, linking the page to nearby combinations.

Example types with machine learning

This selection groups the examples by length and sentence type, making usage of the full phrase easier to scan:

This tech uses deep learning and machine learning to increase its collection of questions and responses. (16 words)

This article focuses on supervised machine learning, which is currently the most common approach to machine learning. (17 words)

Alteryx Machine Learning enables business users to create and calibrate machine learning models through an easy-to-use guided experience. (20 words)

As the first Chair of the first-ever Machine Learning Department at a major university, at Carnegie Mellon, and an accomplished researcher in the field, he’s uniquely qualified to judge how machine learning will creep into our work. (39 words)

When BJ's Wholesale Club on Thursday (May 3) said that it would leverage artificial intelligence machine learning in its mobile app, it joined the crowded club of companies boasting machine-learning capabilities while remaining vague on the details. (39 words)

IBM also added support for a new deep learning service capability to monitor workloads called Watson Machine Learning Accelerator and a new feature called Federated Learning that enables users to train common models using remote, secure data sets. (38 words)

Example sentences (20)

Deep learning, a subcategory of machine learning, has been omitted intentionally to keep the focus of this article on machine learning in general.

Apply a range of advanced machine learning techniques from all major areas of machine learning (supervised, unsupervised, semi-supervised and reinforcement learning) including tuning and regularizing these models.

Alteryx Machine Learning enables business users to create and calibrate machine learning models through an easy-to-use guided experience.

Speculation about the rising adoption of AI and machine learning applications has enabled shares in this AI/machine learning software dynamo to experience a stunning rebound thus far in 2023.

One of the biggest differences between deep learning and other forms of machine learning is the level of “supervision” that a machine is provided.

This article focuses on supervised machine learning, which is currently the most common approach to machine learning.

As the first Chair of the first-ever Machine Learning Department at a major university, at Carnegie Mellon, and an accomplished researcher in the field, he’s uniquely qualified to judge how machine learning will creep into our work.

Going forward, Machine Learning jobs are going to pay really well with the median salary for someone knowing machine learning being $106,225 with jobs being that of engineers, developers, researchers and data scientists.

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Though I have not used it, Colab also well with its own machine learning project, Tensor Flow, which is especially nice for compute-heavy machine learning projects.

Behind it is Michelangelo, a machine learning-as-a-service platform that enables internal teams to seamlessly build, deploy, and operate machine learning solutions at Uber’s scale.

To get started in AI or machine learning, businesses need to review and catalog enterprise data sources that may be used in AI or machine learning models.

To that end, it recently launched a Machine Learning Crash Course for users to gain skills in artificial intelligence and machine learning.

When BJ's Wholesale Club on Thursday (May 3) said that it would leverage artificial intelligence machine learning in its mobile app, it joined the crowded club of companies boasting machine-learning capabilities while remaining vague on the details.

Machine learning and data mining There are two applications for machine learning and data mining : data management and data analysis.

IBM also added support for a new deep learning service capability to monitor workloads called Watson Machine Learning Accelerator and a new feature called Federated Learning that enables users to train common models using remote, secure data sets.

Digital technologies, such as machine intelligence and machine learning, create opportunities for entirely new forms of trade, market economy and capitalism.

This tech uses deep learning and machine learning to increase its collection of questions and responses.

With the rapid advancements in AI, robotics, and other fields including deep learning and machine learning and entrepreneurship, having that flexibility is advantageous in today’s time.

By using the sensor data and machine learning, Zealand explains, the trousers are learning to "see" the stairs, knowing exactly when to apply force.

It is anticipated that the introduction of emerging technologies such as machine learning and AI in the virtual classroom and the advent of mixed learning technologies in virtual classrooms will create significant opportunities for market growth.

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