Used and loved by millions
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com
machine learning protocols
Grammar usage guide and real-world examplesUSAGE SUMMARY
The phrase "machine learning protocols" is correct and usable in written English.
You can use it when discussing guidelines, standards, or procedures related to machine learning processes or systems. Example: "The research team developed new machine learning protocols to improve the accuracy of their predictive models."
✓ Grammatically correct
Science
Academia
News & Media
Alternative expressions(12)
machine learning methodologies
machine learning techniques
machine learning algorithms
machine learning strategies
machine learning frameworks
machine learning tools
machine learning procedures
machine learning methods
machine learning models
machine learning decoders
machine learning experiments
machine learning analytics
Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Human-verified examples from authoritative sources
Exact Expressions
6 human-written examples
Additionally, within many of these disciplines, low level programming knowledge is not abundant and scientist are often restricted to predefined machine learning protocols, wrapped in some graphical environment.
Science
Though not presented here, we have experimented with machine learning protocols relying solely on sequence-derived features.
Science
In all families, the two structure-based machine learning protocols perform significantly better domain separation than the sequence based nearest neighbor procedure at the 70% sequence identity level.
Science
Various machine learning protocols are used in an effort to determine what features might be most predictive of repression and some moderate success is achieved.
Science
The article is organized as follows: first, we give the intuition behind the features used to represent the individual domains in a form suitable for constructing machine learning protocols.
Science
Conclusions: The high accuracy of the learned models and good agreement between the rules discovered using the ADtree classifier and mechanisms reported in the literature reflect the value of machine learning protocols in both prediction and biological knowledge discovery.
Science
Human-verified similar examples from authoritative sources
Similar Expressions
54 human-written examples
We have recently reported a new machine learning protocol that makes it possible to measure how well a model can generate a prediction for an item (the neural representation of a particular noun) on which it has not been trained [1].
Science
Results: We present a machine learning protocol for determining membrane-targeting properties achieving 85 90% accuracy in separating binding and non-binding domains within families.
Science
This machine-learning protocol based on chemical features thus represents an efficient tool for screening ligands for G-protein-coupled odorant receptors that modulate non-olfactory functions or, upon combinatorial activation, give rise to our sense of smell.
Academia
Our three classes of adaptive protocols are pure machine learning, intra-protocol learning, and inter-protocol learning.
Identified criteria are grouped into five categories: correlation between proxy IP address and data location, landmark involvement in the verification process, measurements collecting, machine learning, and PDP protocol deployment.
Science
Expert writing Tips
Best practice
When describing a specific machine learning implementation, clearly define the "machine learning protocols" used to ensure reproducibility and clarity.
Common error
Avoid using the term "machine learning protocols" when referring to general machine learning concepts. Be specific about the exact procedures and techniques involved.
Source & Trust
80%
Authority and reliability
4.3/5
Expert rating
Real-world application tested
Linguistic Context
The phrase "machine learning protocols" functions as a noun phrase, typically serving as the subject or object of a sentence. Ludwig AI shows that it is used to describe standardized procedures or sets of rules applied in the context of machine learning.
Frequent in
Science
60%
Academia
25%
News & Media
15%
Less common in
Formal & Business
0%
Encyclopedias
0%
Wiki
0%
Ludwig's WRAP-UP
The phrase "machine learning protocols" is a noun phrase that describes the standardized procedures or sets of rules applied in machine learning. Ludwig AI confirms its grammatical correctness and primary use in scientific and academic contexts. Although the phrase is not frequently used, it is essential for defining systematic processes in machine learning research. Alternative phrases include "machine learning methodologies" and "machine learning techniques", which can be used depending on the specific context. It's important to avoid overgeneralization and to clearly define the protocols when describing a specific implementation.
More alternative expressions(6)
Phrases that express similar concepts, ordered by semantic similarity:
machine learning methodologies
Replaces "protocols" with "methodologies", focusing on the overall systematic approaches.
machine learning techniques
Substitutes "protocols" with "techniques", emphasizing the specific methods used in machine learning.
machine learning algorithms
Focuses specifically on the algorithms used within machine learning, rather than the broader procedures.
machine learning processes
Replaces "protocols" with "processes", highlighting the sequences of actions.
machine learning workflows
Emphasizes the structured sequence of steps in machine learning tasks.
machine learning strategies
Replaces "protocols" with "strategies", focusing on the high-level plans for machine learning.
machine learning systems
Shifts the focus to the complete systems implementing machine learning.
machine learning frameworks
Focuses on the structural supports used to implement machine learning.
automated machine learning procedures
Adds the 'automated' aspect and replaces protocols with 'procedures,' emphasizing efficiency.
artificial intelligence methodologies
Broadens the scope from machine learning to the wider field of artificial intelligence.
FAQs
How can I use "machine learning protocols" in a sentence?
You can use "machine learning protocols" to describe a set of rules or procedures used in machine learning. For example, "The researchers followed strict "machine learning protocols" to ensure the accuracy of their models."
What's the difference between "machine learning protocols" and "machine learning algorithms"?
"Machine learning algorithms" refer to the specific computational methods used for learning, while "machine learning protocols" encompass the entire set of procedures, including data preparation, model selection, and evaluation.
Are there other terms I can use instead of "machine learning protocols"?
Yes, depending on the context, you could use terms like "machine learning methodologies", "machine learning techniques", or "machine learning procedures".
What is the importance of well-defined "machine learning protocols"?
Well-defined "machine learning protocols" are essential for ensuring the reproducibility, reliability, and comparability of machine learning experiments and results.
Editing plus AI, all in one place.
Stop switching between tools. Your AI writing partner for everything—polishing proposals, crafting emails, finding the right tone.
Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Source & Trust
80%
Authority and reliability
4.3/5
Expert rating
Real-world application tested