Making
Artificial Intelligence
6 Embarrassing Sklearn Mistakes You May Be Making And The right way to Avoid Them
2️⃣. Judging Model Performance Only By Test ScoresYou bought a test rating over 0.85 — do you have to be celebrating? Big, fat NO!Regardless that high test scores generally mean robust performance, there are...
Artificial Intelligence
Deploy ML Models with AWS Lambda & Ephemeral Storage Prerequisites 1. ML Model 2. Lambda Function 3. Docker Image 4. Infrastructure Limitations and making the Solution scalable
It's important to offer enough memory_size to the Lambda in addition to a big enough ephemeral_storage_size. Furthermore, we want to point the PYTORCH_TRANSFORMERS_CACHE directory to the /tmp directory to permit the Transformers library to...
Artificial Intelligence
Making property assessments so simple as snapping an image
Property assessments sit at the middle of home appraisals, insurance claims, renovation...
Artificial Intelligence
Making Music-Tagging AI Explainable through Source Separation
Let’s open the black boxWhy do We Need This?AI systems for music tagging have been around for quite some time. Ever because the mid-2010s, music streaming services have been competing for essentially the most...
Artificial Intelligence
Unlocking the Power of p-values: Making Data-Driven Decisions with Statistical Significance But what does this mean within the context of business? Let’s explore some examples...
“If the statistics are boring, you’ve got the improper numbers.” — Edward TufteIf you have got ever taken a statistics class or worked with data in a business setting, you have got likely come...
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