I have been using SageMaker for some time now, both for personal and professional use. SageMaker provides you a series of tools that every Data Scientist needs, but no obligations to use them all to produce a complete result. For example, SageMaker has a tool to tune your hyperparameters of your model called Automatic Model …
In a previous post, we took a closer look at Amazon Rekognition on Amazon Console; if you missed it, I strongly recommend going back and read it since we will follow pretty much the same way to tag images programmatically. In this post, we see how to create a serverless app and automatically tag newly …
I have been using PySpark for some time now and I thought to share with you the process of how I begin learning Spark, my experiences, problems I encountered, and how I solved them! You are more than welcome to suggest and/or request code snippets in the comments section below or at my twitter …
In today’s post, we are going to take a look at another AI service of AWS, Amazon Rekognition. We focus on the image for object and scene detection, and we learn how to use the service programmatically. Furthermore, you can also check out one of my previous posts about another AI Service, Amazon Kendra. Kendra …
Amazon announced Amazon Kendra[1] at re:Invent 2019, a new AI Service[2]. As of today, AWS has 13 AI services, with Amazon Kendra being one of the latest additions. So what is Amazon Kendra? Amazon Kendra is a highly accurate and easy to use enterprise search service that’s powered by machine learning. Kendra delivers powerful natural language …
In previous posts, we explored Amazon SageMaker’s AutoPilot, which was terrific, and we learned how to use your own algorithm with Docker, which was lovely but a bit of a fuzz. In this post, we will see how easy it is to bring your own algorithm using the script mode in SageMaker. Again we will …
Here is a buzz-word that we hear all the time Data Lake But what is precisely a Data Lake? Is it an actual lake of data filled with file cabinets? Is it some magical place where all the data “sit”? Is it a big database that costs hundreds of thousands of dollars per month? A …
It was a lovely morning, sunlight was pouring through a window down to my desk. With a mug full of hot coffee in my hand, I was slowly walking into the room towards my office, confident and excited. Today is THE day, I whispered, today I will beat my latest Digit Recognizer submission at Kaggle! …
Indiana Jones diving into AWS Chalice Recently I got involved with a package called AWS Chalice. With this package, you can easily create serverless rest APIs using AWS Gateway and AWS Lambdas. It is easily maintainable and very, VERY easy to deploy to AWS. You can find the code of the post here. Now that …
In this post, we will see the Exploratory Data Analysis or EDA, but we are not going to use any models or feature extraction methods. Our main focus is on the data. In future posts, we’ll explore feature extraction methods and modeling. I consider myself lucky when at the beginning of the day, a dataset …
