training points

USAGE SUMMARY

"training points" is a correct and usable phrase in written English.
It refers to specific ideas or concepts taught during a training session or program. Example: During the leadership training, the instructor emphasized the importance of time management and effective communication as key training points to becoming a successful leader.

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Instead I have to remove all the training points from my existing players (making them ineffective as backups)?

The New York Times - Arts

He says the readiness of judges to accept such training points to a genuine desire in official circles to improve the system.There are other signs, too.

The Economist

To reduce the training points, the averaging signals with the adjacent reference signals are used as the imaginary reference signals of mid-points between each training points.

Composites Part B: Engineering

Optimal number of training points are selected by using distribution adaptive sequential experimental design.

Journal of Computational Physics

Aiming at this problem, an improved reference database impact localizing algorithm with reduced training points is presented in this article.

Composites Part B: Engineering

The key point is to use the neighbourhood of training points to compute their importance.

Brain Informatics

The training points which satisfy α i  − α i *  ≠ 0 are called free support vectors.

Journal of Petroleum Exploration and Production Technology

The improved scalability with the number of training points is due to the use of tensor-product splines, where energy minimization is used to handle under-constrained problems in which there are more spline coefficients than training points.

Aerospace Science and Technology

Furthermore the effect of the number of training points on the performance of the designed classifier is investigated.

Pattern Recognition Letters

D-optimal method is used to determine the training points as a mean of design of experiment.

International Journal of Heat and Mass Transfer

Moreover, the choices of B-spline knots and training points are important designed parameters in this methodology.

Measurement

Expert writing Tips

Best practice

When writing about training programs, clearly define the "training points" to ensure participants understand the core concepts. Use specific examples to illustrate these points.

Common error

Avoid vague descriptions of "training points". Be specific about what skills or knowledge participants should gain. Instead of saying "improve communication", specify "master active listening techniques" or "deliver persuasive presentations".

Linguistic Context

The phrase "training points" primarily functions as a noun phrase, often serving as the object of a verb or preposition. It refers to specific ideas, skills, or concepts emphasized within a training program or dataset. Ludwig AI confirms its grammatical correctness and common usage.

Expression frequency: Very common

Frequent in

Science

80%

News & Media

10%

Formal & Business

5%

Less common in

Academia

2%

Wiki

2%

Reference

1%

Ludwig's WRAP-UP

In summary, "training points" is a grammatically sound and frequently used noun phrase that signifies the key aspects or concepts within a training regimen. As validated by Ludwig AI, its usage spans various domains, most notably science and technology. While it may appear in news and formal settings, its presence in informal conversations is relatively sparse. When employing this phrase, ensure clarity and specificity to avoid ambiguity. Alternative phrases such as "learning objectives" or "key takeaways" can be used to convey similar meanings in different contexts. This careful attention to detail will help ensure that your writing is precise and effective.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

learning objectives

Focuses on the goals of a training session.

key takeaways

Emphasizes the most important information learned.

teaching points

Highlights the core elements being taught.

lesson highlights

Refers to the most significant parts of a lesson.

curriculum focal points

Emphasizes main aspects of a curriculum.

instructional goals

Stresses the intended outcomes of instruction.

skill development targets

Concentrates on specific skills to be developed.

knowledge transfer elements

Highlights components necessary for successful knowledge transfer.

performance enhancement areas

Focuses on areas where performance can be improved.

core competencies addressed

Refers to fundamental skills and knowledge covered.

FAQs

How are "training points" used in machine learning?

In machine learning, "training points" refer to the data instances used to train a model. These points help the algorithm learn patterns and make predictions on new, unseen data. The quality and quantity of "training points" significantly impact the model's accuracy.

What is the significance of selecting appropriate "training points"?

Selecting representative and diverse "training points" is crucial for creating robust and generalizable models. Poorly chosen "training points" can lead to overfitting or underfitting, reducing the model's performance on real-world data.

How does the number of "training points" affect model performance?

Generally, increasing the number of "training points" improves a model's performance, up to a certain point. Beyond that, additional "training points" may offer diminishing returns or even degrade performance due to noise or redundancy in the data.

What are some techniques for optimizing the selection of "training points"?

Techniques such as active learning, stratified sampling, and data augmentation can be used to optimize the selection of "training points". These methods aim to choose the most informative and representative "training points", maximizing the model's learning efficiency and generalization ability.