CRUD Operations: CRUD stands for Create, Read, Update, Delete – the core operations in database management. INSERT, SELECT, UPDATE, DELETE statements are your tools. Let's wield them responsibly.
@avikumart_
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Mastering SQL JOINs for Seamless Data Integration
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JOINs: JOINs enable you to combine rows from two or more tables based on related columns. INNER, LEFT, RIGHT, FULL – each type has its purpose. Mastering JOINs is like solving a puzzle, connecting data seamlessly!
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SQL Basics: Managing and Manipulating Relational Databases
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Understanding SQL Basics SQL, or Structured Query Language, is a powerful tool for managing and manipulating relational databases. It's the language used to communicate with databases, allowing you to retrieve, insert, update, and delete data
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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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AI Won’t Replace Coding Knowledge Deep Technical Skills Still Essential
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All the talk around coding will be obsolete is too vague. AI can generate code and can help augment most tasks but you still have to know when and where to apply certain code. You'll still need to know coding in-depth to effectively utilise AI assistance. #AI #LLMs
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Essential Resources for Data Science ML and AI Learning
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End of this thread! If you are looking to learn more about
Data Science
ML/DL/AI
Analytics
Math & Statistics
Resources
LLMs
MLOps Then, Don't forget to follow me at @avikumart_ for upcoming posts -
Explore Data Science and Latest AI Applications on Futuresmart
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Check out many blogs on wide range of data science topics to latest SOTA AI applications only on Futuresmart AI blog
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Lower Beta Parameter Impact on Forecast Smoothing
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Lower β: Impact: A lower β gives more weight to historical trend information, resulting in a smoother forecast with less sensitivity to recent trend changes.
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Lower Alpha: Smoothing Historical Data for Forecasting
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Lower α: Impact: A lower α assigns more weight to historical observations, providing smoother forecasts with less sensitivity to recent fluctuations.