2. Collection of Data
ML Models are only as accurate as the data fed to them.
Important to identify the right set & format of data to ensure accuracy & relevance of the model.
Ask relevant questions:
- Data required to solve the problem. Eg. Customer data, Inventory
- Quantity of the data we have, and required
- Collection & Storage Mechanism
- Training Methods & Data Pipelines
Common formats of data are
- Structured - fixed rows & columns. Eg. Inventory, sales
- Unstructured - like variable texts, images, videos
- Static - historical - sales & call history
- Streaming - continuous, real time - web site traffic
37
115 reads
CURATED FROM
IDEAS CURATED BY
The terminologies might change, the technologies might evolve, but this is the future. And that Future is already here!
“
The idea is part of this collection:
Learn more about technologyandthefuture with this collection
The importance of networking in podcasting
How to grow your podcast audience
How to monetize your podcast
Related collections
Similar ideas to 2. Collection of Data
Identifying and collecting data
Ask questions, such as.
- What data is needed to solve the business problem?
- What quantity of data is required?
- Do you have enough data to build a model?
- Do you need more data to extend the existing data?
- Ho...
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