How to Define and Measure Your Training Data Quality
How do you define training data quality and measure it? How do you improve it? We go into defining, measuring, and reviewing your training data quality.
Training Data
10 Experts Give Reasons Why High-Quality Training Data is so Important
We reached out to various ML experts, asking them the questions: Why is high-quality training data so important? Why do so many projects fail in ML?
What is Data Collection and Why Do You Care?
Data collection is a systematic strategy for gathering and measuring information from a variety of sources to get an accurate picture about a specific area of interest.
The Advantages and Limitations of Synthetic Data
With increased buzz around synthetic data, it is important to understand the advantages and limitations of this solution, and the overall affect on the application.
What is Synthetic Data?
Synthetic data is system-generated data that mimics real data in terms of essential parameters set by the user.
What is Training Data?
The best way for a computer to gain knowledge is to start by showing it exactly what it is you want it to do. For this, we use training data.
Winning Customers with Algorithms: How Teams in Nairobi Help Shape Your Shopping Experience
Termed “planogramming,” visual merchandising is key in retail stores. The best stores find a balance between exciting customers without overwhelming them with deals shouting from every corner.
