There reason why it called "naive" is it assumes the features are independent to each other. First, Let's initialise the parameters: → alpha: Just remember this as a smoothing parameter. Will explain it's importance later. → classes: To store the unique class labels.
CODE
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CTEs: Simplifying Complex SQL Queries Through Modular Components
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CTEs provide a way to define temporary result sets that you can reference within a SELECT, INSERT, UPDATE, or DELETE statement. CTEs enhance code readability and maintainability by breaking down complex queries into simpler, modular components.
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Common Table Expressions Explained: SQL Fundamentals
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Common Table Expressions (CTEs) are explained with an example:
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Comprehensive Machine Learning Algorithms Book Recommendation
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Brilliant 798-page “Everything #ML from A to Z” book — I have a copy and I love it! >> "Mastering #MachineLearning #Algorithms" at http://
amzn.to/37cDZ7F by @GiuseppeB ——————
#Python #DeepLearning #AI #BigData #DataScience #DataMining #Mathematics #Coding #DataScientists -
Optimization Algorithms and Applications in Data Science
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#Optimization Algorithms & Applications
[link is in the tweet below]
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#BigData #DataScience #AI #Statistics #DataMining #ORMS #MachineLearning #Mathematics #Algorithms #PrescriptiveAnalytics -
Machine Learning Engineering on AWS: Build, Scale, Secure ML Systems
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#MachineLearning Engineering on #AWS — Build, scale, and secure #ML systems and #MLOps pipelines in production: http://
amzn.to/3vLzAKW via @PacktPublishing ———— #AI #DeepLearning #BigData #DataScience #DataScientists #Cloud -
CausalML Python Package for Statistical Inference
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RT @mdancho84 presenting the CausalML #Python package… #Inference #DataScience #MachineLearning #Statistics
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Python ML/MLOps and LLM AI Engineering Newsletter
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If you interested in: – Python – ML/MLOps – LLMs – AI Engineering Find me → @akshay_pachaar I also write a FREE weekly Newsletter @ML_Spring on AI Engineering!
Join 7k+ readers: http://
mlspring.beehiiv.com/subscribe -
Chat with Your Code Using RAG and LlamaIndex
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Hope you enjoyed reading! Incase you want to read more about RAGs, I recently published a "Chat with your code using RAG!" article! Things you'll learn: – LlamaIndex
– Ollama for serving LLMs locally
– Streamlit for Chat UI Here's the full article -
LlamaIndex RAG CLI: Build RAG Apps From Command Line
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@llama_index recently introduced RAG CLI, which is apparently the simplest way to build a RAG application directly from your CLI! 🔥
— Akshay 🚀 (@akshay_pachaar) 9 mars 2024
Before we understand how it's done!
Here's a quick demo of how I was able to talk to files on my local! 🗣️ pic.twitter.com/ffMCEa9q9V@llama_index recently introduced RAG CLI, which is apparently the simplest way to build a RAG application directly from your CLI! Before we understand how it's done! Here's a quick demo of how I was able to talk to files on my local!