Tutorials in ML, AWS, R and Java
Mithil Shah 
Why Distributed Machine Learning? In the previous article we looked at how GPGPU, ASICS, AWS’s Inferentia, the new NVidia A100 chip and other advances in hardware have tremendously improved the performance of Machine Learning training and inference. However the increase in the volume of data and the increasing complexity of the machine learning models require … Read more
Machine learning algorithms vary in size from a few parameters to a few billion parameters (e.g. GPT-3). The training data ranges from a few hundred training row to millions of rows. Training a model on a single CPU is not always efficient and so people started using GPU. GPU vs CPU vs GPGPU Wait a … Read more
Amazon Athena is a serverless query engine that allows you to query data in Amazon S3 using standard SQL. You can also use the query result to create another table. This table can then be used as a source of further analytics or reporting. For example : You can use Athena to perform feature engineering … Read more
Amazon SageMaker helps data scientists and Machine Learning developers build, train and deploy machine learning models. It includes Jupyter notebook to build and train model as well SageMaker API to train and deploy model with a few lines of code. Amazon CloudFormation helps in provisioning AWS resources using code. It automates provisioning and configuring resources … Read more
Video Text In this video we will deploy a docker image containing a static website to Kubernetes. This will be a very short demo just to give you a feel of how Kubernetes looks. In a later section we will go through the process of creating the docker image but for now just enjoy the … Read more
If you are setting up a Kubernetes cluster on AWS then you would probably want a cluster that is not accessible to the world. You do that by toggling off public access while creating the cluster, however a problem with that is the DNS Resolution for EKS with private endpoint. The only problem with this … Read more
Kubernetes definition Kubernetes is an open source system for managing containerized applications and provides mechanisms to deploy, maintain and scale them accross multiple hosts spread accross on premise and cloud. It is more than a container orchestration platform because it also takes care of managing the compute, network and storage infrastructure What problems does Kubernetes … Read more
what is a Docker container? Docker Container is a software product that bundles up an application and all its dependencies into a single software unit. This software unit performs OS level virtualization, that is, it presents an isolated environment on top of an operating system. This isolated environment shares the kernel of the operating system … Read more
In the previous article we saw an introduction to the Kubernetes kustomize tool and how it can be used to configure YAML file used for deploying applications to Kubernetes. In this article we will look at how to use Kubernetes Kustomize for multiple environments. In a production setting , you might have multiple environments and … Read more
Kubernetes deployment and configuration management tools Many companies are moving towards Kubernetes for handling their container workloads. To learn more about Kubernetes, look at this video course. Although Kubernetes has become quite stable over the years, deployment to Kubernetes is still not evolved as an art. This is where Kubernetes kustomize comes in. You have … Read more