Top Tweets for #60DaysofLearning
#LSPPDay56
Merged keyword and semantic search results using score normalization and weighted score.
Implemented Hybrid Search by combining TF-IDF and FAISS-based semantic retrieval.
https://t.co/t64ITGJYLL
#60DaysOfLearning #LearningWithLeapFrog
@lftechnology
#LSPPDay53
Learned how to use JS Set and its methods to store unique values, create sets, and manage data with methods like add(),delete(),has(),clear().Explored how Set helps prevent duplicate values,data handling efficient.
#60DaysofLearning #LearningwithLeapfrog
@lftechnology
#LSPPDay55
Implemented FAISS Vector Search using IndexFlatL2.
#60DaysOfLearning #LearningWithLeapFrog
@lftechnology
#LSPPDay52
Briefly reviewed JavaScript block scope, covering let, const, variable shadowing, and the (TDZ).Focused on closures, practicing use cases like data privacy,factories, memoization,event handlers, and module patterns.
#60DaysofLearning #LearningwithLeapfrog
@lftechnology
#LSPPDay54
Understood how Vector Embeddings represent the semantic meaning of text.
Implemented semantic search with vector embeddings using Sentence Transformers and Cosine Similarity.
#60DaysOfLearning #LearningWithLeapFrog
@lftechnology
#LSPPDay51
Learned how a closure is created when an inner function remembers and can access variables from its outer lexical scope even after the outer function has finished executing. Also, the method of preservation.
#60DaysofLearning #LearningwithLeapfrog
@lftechnology
#LSPPDay53
Today I implemented TF-IDF, Vectorization, Cosine Similarity and Top-K Retrieval from scratch.
#60DaysOfLearning #LearningWithLeapFrog
@lftechnology
#LSPPDay52
Today I implemented TF, DF & IDF from scratch.
#60DaysOfLearning #LearningWithLeapFrog
@lftechnology
#LSPPDay50
Learned about block scope and variable shadowing in JS, understanding how let and const are limited to their block while inner variables can temporarily hide outer ones.
#60DaysofLearning #LearningwithLeapfrog
@lftechnology
#LSPPDay51
Set up the project structure for my new project to understand how AI systems retrieve information, starting from foundations.
Understood corpus, document, query, tokenization and inverted indexes.
#60DaysOfLearning #LearningWithLeapFrog
@lftechnology
#LSPPDay49
Learned the differences between let and const, explored the Temporal Dead Zone (TDZ). I also learned the causes of SyntaxError, ReferenceError, and TypeError in JavaScript and how to identify them while debugging.
#60DaysofLearning #LearningwithLeapfrog
@lftechnology
#LSPPDay50
Dockerized my React + FastAPI application, connected everything with Docker Compose, and deployed it to Render + Vercel.
https://t.co/neoxucHL4M
#60DaysOfLearning #LearningWithLeapFrog
@lftechnology
#LSPPDay48
Learned about JS lexical environment and scope and how variables are resolved based on where functions are defined.Explored the difference between global, function, and block scope.
#60DaysofLearning #LearningwithLeapfrog
@lftechnology
#LSPPDay49
Learned about Dockerfiles, Images & Containers.
Dockerized the FastAPI backend and React frontend.
#60DaysOfLearning #LearningWithLeapFrog
@lftechnology
#LSPPDay47
Built a FastAPI server with image upload support.
Created an endpoint that accepts an image, compares its color histogram against my feature database, and returns the top 3 matching movie frames as JSON.
#60DaysOfLearning #LearningWithLeapFrog
@lftechnology
#LSPPDay46
Built a simple React frontend for my similarity search project.
#60DaysOfLearning #LearningWithLeapFrog
@lftechnology
#LSPPDay44
Compared a test image's feature vector with every single one stored in the .pkl file & displayed the top 3 matching frames.
Version 1 of my similarity search project is completed.
#60DaysOfLearning #LearningWithLeapFrog
@lftechnology
#LSPPDay43
Built a pipeline to extract feature vectors from all the images in the dataset.
Converted that vector and other info like name & path into a pkl file.
Understood Serialization and Deserialization.
#60DaysOfLearning #LearningWithLeapFrog
@lftechnology
#LSPPDay42
Built a dataset generation pipeline for similarity search project.
Used OpenCV to automatically extract frames from movie trailers every two seconds.
#60DaysOfLearning #LearningWithLeapFrog
@lftechnology
#LSPPDay41
Manually created a histogram comparison function for for learning purpose.
Used OpenCV compareHist() (correlation metric) for comparison.
Plotted bar chart to analyze color distribution using Matplotlib.
#60DaysOfLearning #LearningWithLeapFrog
@lftechnology
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