Learn more about artificialintelligence with this collection
Find out the challenges it poses
Learn about the potential impact on society
Understanding the concept of Metaverse
Ask questions, such as.
Consider if your model will operate in real-time to determine if you need to create data pipelines to feed the model.
Consider what form of data is required:
19
23 reads
MORE IDEAS ON THIS
Define the business problem you are trying to solve.
17
44 reads
This step is the most time-consuming, with ML engineers spending around 80% of the AI model development time in this stage. A significant amount of time is spent cleaning the data and transforming it into the required format.
Things to consider include:
17
19 reads
While the model is trained and tuned using the training and validation data set, the model will behave differently when used in the real world, which is fine.
The main objective is to minimise the change in model behaviour when it is deployed. Three data sets are used when ...
17
14 reads
Analyse if the KPIs and the business objective of the model are achieved. If the parameters are not met, consider changing the model or improving the quality and quantity of the data.
Before deployment:
16
43 reads
In 2019, near 87% of data science projects did not get into production. However, due to COVID -19, most companies have scaled up their AI adoption and increased their AI investment.
In 2020, almost 50 % of enterprises employed an ML model. But to completely harness the power of AI, multiple...
17
70 reads
AI model development involves multiple stages that interconnect to each other.
19
45 reads
At this step, all the requirements have been collected for the solution modelling to proceed.
ML engineers will define the features of the model, taking the following into account:
16
33 reads
CURATED FROM
IDEAS CURATED BY
Related collections
Other curated ideas on this topic:
A decision matrix is a table that helps you to visualize the best option between your different alternatives.
It works by getting you to list your options as rows on a table, and the factors you need consider as columns. You then score each option/factor combination, weight this scor...
At some point, you'll need to consider which data source and analytical strategy are most likely to give the answers you need.
Read & Learn
20x Faster
without
deepstash
with
deepstash
with
deepstash
Personalized microlearning
—
100+ Learning Journeys
—
Access to 200,000+ ideas
—
Access to the mobile app
—
Unlimited idea saving
—
—
Unlimited history
—
—
Unlimited listening to ideas
—
—
Downloading & offline access
—
—
Supercharge your mind with one idea per day
Enter your email and spend 1 minute every day to learn something new.
I agree to receive email updates