gistfile1.txt

What is Precision, Recall, F1-score and Confusion Matrix?
https://medium.com/analytics-vidhya/understanding-precision-recall-f1-score-and-confusion-matrix-b701659b9a21

Classification of Images based on Fashion MNIST dataset
https://medium.com/analytics-vidhya/classification-of-images-based-on-fashion-mnist-dataset-bb11e4bcdefb

Image classification from scratch
https://keras.io/examples/vision/image_classification_from_scratch/

Image data preprocessing
https://keras.io/api/preprocessing/image/

PCA using Python (scikit-learn)
https://towardsdatascience.com/pca-using-python-scikit-learn-e653f8989e60

An introduction to machine learning with scikit-learn
https://scikit-learn.org/stable/tutorial/basic/tutorial.html

## Kubernetes

Kubernetes HPA Autoscaling with External metrics — Part 2
https://medium.com/@matteo.candido/kubernetes-hpa-autoscaling-with-external-metrics-part-2-dffac36a1f4e

Network Policy | Kubernetes
Kubernetes network policies for pods and namespaces isolation
https://faun.pub/a-deep-dive-into-kubernetes-network-policy-2c9cda156436

Kubernetes Horizontal Pod Autoscaling
Horizontal Pod Autoscaling including Load Testing
https://faun.pub/kubernetes-horizontal-pod-autoscaling-53fb9d0c2396

Prevent Kubernetes Misconfigurations with Datree
https://medium.com/@KushanJanith/prevent-kubernetes-misconfigurations-with-datree-ca1caa8b0e4

Application life cycle management | Kubernetes
Overview of configmaps, secrets, multi-container, and init-containers
https://medium.com/the-techlife/application-life-cycle-management-kubernetes-4a52a6f8e5d8

Kubeflow MLOps : Automatic pipeline deployment with CI / CD / CT
https://towardsdatascience.com/kubeflow-mlops-automatic-pipeline-deployment-with-ci-cd-ct-64aeec46cc33

Why should you choose Litmus?
https://docs.litmuschaos.io/docs/introduction/features/

Multi-Node Kubernetes with KIND and Docker Desktop
https://joe.blog.freemansoft.com/2020/07/multi-node-kubernetes-with-kind-and.html

KubeInvaders - Gamified Chaos Engineering Tool for Kubernetes
https://kubernetes.io/blog/2020/01/22/kubeinvaders-gamified-chaos-engineering-tool-for-kubernetes/

Kubernetes Tips: Using a ServiceAccount
How to communicate with the API Server from a Pod
https://betterprogramming.pub/k8s-tips-using-a-serviceaccount-801c433d0023

External OAUTH Authentication
https://kubernetes.github.io/ingress-nginx/examples/auth/oauth-external-auth/




## Spacy

Sarcasm Text Classification using spaCy in Python
https://towardsdatascience.com/sarcasm-text-classification-using-spacy-in-python-7cd39074f32e

SpaCy is a classy way for NER model creation ( spaCy v3 )
https://medium.com/@kpimbulgoda/spacy-is-a-classy-way-for-ner-model-creation-spacy-v3-6143b84a3f27

Word Embeddings in Python with Spacy and Gensim
https://www.cambridgespark.com/info/word-embeddings-in-python

Word Embeddings in Python with Spacy and Gensim
https://www.shanelynn.ie/word-embeddings-in-python-with-spacy-and-gensim/



Support for floret vectors
https://spacy.io/usage/v3-2#vectors

How do I load FastText pretrained model with Gensim?
https://datascience.stackexchange.com/questions/20071/how-do-i-load-fasttext-pretrained-model-with-gensim

Word2Vec and FastText Word Embedding with Gensim
https://betterprogramming.pub/implement-event-driven-architecture-with-minimal-effort-182c3bbe5524

Predicting a word using Word2vec model
https://datascience.stackexchange.com/questions/9785/predicting-a-word-using-word2vec-model

Keyphrase Extraction with Graph Centrality
Taking advantage of graph representations to extract relevant phrases from free-text
https://towardsdatascience.com/keyphrase-extraction-with-graph-centrality-989e142ce427



## Kafka

Change Data Capture (CDC) With Kafka® Connect and the Debezium PostgreSQL® Source Connector
https://instaclustr.medium.com/change-data-capture-cdc-with-kafka-connect-and-the-debezium-postgresql-source-connector-13a48eabfcb2

Basic stream processing using Kafka and Faust
https://abhishekbose550.medium.com/basic-stream-processing-using-kafka-and-faust-7de07ed0ea77

https://github.com/faust-streaming/faust/releases



## LTR

How LambdaMART works - optimizing product ranking goals
https://softwaredoug.com/blog/2021/11/28/how-lammbamart-works.html

LambdaMART in Depth
https://softwaredoug.com/blog/2022/01/17/lambdamart-in-depth.html


## 1

Kinesis Stream to S3: A Comprehensive Guide
https://hevodata.com/learn/kinesis-stream-to-s3-a-comprehensive-guide/

The 5 Clustering Algorithms Data Scientists Need to Know
https://towardsdatascience.com/the-5-clustering-algorithms-data-scientists-need-to-know-a36d136ef68

Role of ML in e-commerce
https://recsysml.substack.com/p/role-of-ml-in-e-commerce?s=r

From Search Analytics to Search Insights - Part 1
https://blog.searchhub.io/from-search-analytics-to-search-insights-part-1

E-commerce search and recommendation with Vespa.ai
https://medium.com/vespa/e-commerce-search-and-recommendation-with-vespa-ai-a49c98f97e68

Data Distribution Shifts and Monitoring
https://huyenchip.com/2022/02/07/data-distribution-shifts-and-monitoring.html

Introduction to Multi-Armed Bandits with Applications in Digital Advertising
https://www.spotx.tv/resources/blog/developer-blog/introduction-to-multi-armed-bandits-with-applications-in-digital-advertising/

What problem does BERT hope to solve for search?
https://opensourceconnections.com/blog/2019/12/18/bert-and-search-relevance-part2-dense-vs-sparse/

The BERT Search Experience
https://opensourceconnections.com/blog/2021/09/01/the-bert-search-experience/

Diversifying Search Results
https://www.microsoft.com/en-us/research/wp-content/uploads/2009/02/diversifying-wsdm09.pdf

Optimising images for better LCP web vitals scores
https://itnext.io/optimising-images-for-better-lcp-web-vitals-scores-7e9866087973

Search (Pt 2) — A Semantic Horse Race
https://towardsdatascience.com/search-pt-2-semantic-horse-race-5128cae7ce8d

Hybrid search > sum of its parts?
https://pretalx.com/bbuzz22/talk/YEHRTE/

My Journey Building Elasticsearch for Retail
https://blog.searchhub.io/my-journey-building-elasticsearch-for-retail

Autoscale Cluster With Horizontal Pod Autoscaling
https://docs.digitalocean.com/tutorials/cluster-autoscaling-ca-hpa/

Learning-To-Rank: Sorting Search Results
How Machine Learning brings buyers and sellers together on OLX
https://tech.olx.com/learning-to-rank-sorting-search-results-b21a8bd48808

## Percolator / luwak

samza-luwak
https://github.com/romseygeek/samza-luwak

luwak
https://github.com/flaxsearch/luwak

Real-time full-text search with Luwak and Samza
https://www.confluent.io/blog/real-time-full-text-search-with-luwak-and-samza/

Building a Streaming Search Platform
https://blog.insightdatascience.com/building-a-streaming-search-platform-61a0d5a323a8

Elasticsearch Percolator & Luwak: a performance comparison of streamed search implementations
https://www.flax.co.uk/blog/2015/07/27/a-performance-comparison-of-streamed-search-implementations.1.html