Introduction For many years now, data scientists have developed specific workflows on premises using local filesystem hierarchies, source code revision…
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“Where today?” — Planning my Singapore trip with clusters
“Where today?” — Planning my Singapore trip with clustersOutlining travel plans with R, k-medoids and Google MapsJuan De Dios SantosBlockedUnblockFollowFollowingJul 1Planning is not easy.…
Continue ReadingAfter raw stats: exploring possession styles with data embeddings.
To keep it simple: it’s a flow of passes and moves until the team having the ball lose it. So…
Continue ReadingUsing machine learning to understand customers behavior
You were using Euclidean distance. It is the square root of the sum of squared differences between corresponding elements of…
Continue ReadingGiving Your Algorithm a Spark
Giving Your Algorithm a SparkJörg SchneiderBlockedUnblockFollowFollowingMay 16by Jörg Schneider and Jens OrtmannCluster computing is quickly gaining traction across all industries. More…
Continue ReadingMixture modelling from scratch, in R
The full code is however provided in the Appendix. Comparing to the Iris species labelling, we get an accuracy of…
Continue ReadingNatural Language Processing — Event Extraction
Natural Language Processing — Event ExtractionExtracting events from news articlesRodrigo NaderBlockedUnblockFollowFollowingMay 2The amount of text generated every day is mind-blowing. Millions of data…
Continue ReadingK-Means Clustering in SAS
K-Means Clustering in SASDhilip SubramanianBlockedUnblockFollowFollowingMay 1What is Clustering?“Clustering is the process of dividing the datasets into groups, consisting of similar data-points”.…
Continue ReadingWhat is Kubernetes?
As well as the option to create their own concepts. As with most frameworks, One of the downsides though is…
Continue ReadingHow to use K-Means clustering in BigQuery ML to understand and describe your data better
Then, cluster the data on attributes of that field. Find which cluster a given customer/item/etc. belongs to. Understand something about…
Continue ReadingThe ABCs of Building IMDGs
The ABCs of Building IMDGsBuilding Resilient In-Memory Data Grids with HazelcastRanvirsinh RaolBlockedUnblockFollowFollowingMar 29In today’s world, data is of paramount importance. As…
Continue ReadingPlaying with AKS & AAD
Playing with AKS & AADHoussem DellaiBlockedUnblockFollowFollowingMar 2This quick workshop will walk you through configuring AKS with AAD to use RBAC to…
Continue ReadingKubernetes on bare-metal “batteries included“ with k8s-tew
This may of course include your linux VM on your machine …k8s-tew is a single binary written in GO, with no…
Continue ReadingDeploy a Kubernetes Cluster on OpenStack using Kubespray
Deploy a Kubernetes Cluster on OpenStack using KubesprayRobertNBlockedUnblockFollowFollowingMar 12Photo by Albin Berlin from PexelsKubernetes has quickly become the open-source standard solution…
Continue ReadingMachine Learning with Big Data
If we run Dask on our laptop, it allows us to distribute our code to multiple cores at once, but…
Continue ReadingProfiling my Favorite Songs on Spotify through clustering
We could group songs with similar characteristics together, and profile each cluster. One type of clustering method is K-means Clustering…
Continue ReadingVisualizing New York City WiFi Access with K-Means Clustering
Visualizing New York City WiFi Access with K-Means ClusteringMichael Grogan (MGCodesandStats)BlockedUnblockFollowFollowingFeb 5Visualization has become a key application of data science…
Continue ReadingWhat’s going on in libcluster? (Elixir library overview)
The README and documentation are pretty good. They cover the features of the library and provide a mini “getting started”…
Continue ReadingIntroducing Databricks Library Utilities for Notebooks
Databricks has introduced a new feature, Library Utilities for Notebooks, as part of Runtime version 5. 1. It allows you…
Continue ReadingDeploy a Docker Swarm cluster on GCP with Terraform
Deploy a Docker Swarm cluster on GCP with TerraformMohamed LabouardyBlockedUnblockFollowFollowingJan 5Kubernetes might be the ultimate choice when deploying heavy workloads…
Continue ReadingDistributed Data Pre-processing using Dask, Amazon ECS and Python (Part 2)
Source: pixabay. comDistributed Data Pre-processing using Dask, Amazon ECS and Python (Part 2)Using Dask for EDA and Hyperparameters Optimization (HPO)Will badrBlockedUnblockFollowFollowingJan…
Continue ReadingUsing IPFS Cluster Service for Global IPFS Data Persistence
Using IPFS Cluster Service for Global IPFS Data PersistenceHow to install and configure IPFS’s cluster service across your IPFS networkRoss BulatBlockedUnblockFollowFollowingJan…
Continue ReadingDistributed Data Pre-processing using Dask, Amazon ECS and Python (Part 1)
You can verify this by switching to ECS Console -> Click Clusters -> Click Fargate-Dask-Cluster and on the tasks tab,…
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