Data Science Reality
@Datasreality
Where Data Science Meets Reality | Dive into AI, ML, Deep Learning | Uncover Real-World Data Insights | Linkedin 90K Followers
𝗛𝗼𝘄 𝗱𝗼 𝗡𝗲𝘂𝗿𝗮𝗹 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘁𝗵𝗶𝗻𝗸? Everyone’s heard of them. Few actually get them. No math. No AI jargon. Just a clean mental model to truly understand how they work. Let’s start with a relatable story ↓ ⤷ Imagine teaching a kid to…
𝗬𝗼𝘂𝗿 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗶𝘀 𝗱𝘂𝗺𝗯. 𝗜𝘁 𝗵𝗮𝘀 𝗻𝗼 𝗺𝗲𝗺𝗼𝗿𝘆 𝗼𝗳 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮. 𝗜𝘁 𝗴𝘂𝗲𝘀𝘀𝗲𝘀. 𝗜𝘁 𝗺𝗮𝗸𝗲𝘀 𝘀𝘁𝘂𝗳𝗳 𝘂𝗽. 𝗬𝗼𝘂 𝗷𝘂𝘀𝘁 𝗱𝗶𝗱𝗻’𝘁 𝗻𝗼𝘁𝗶𝗰𝗲 𝗯𝗲𝗰𝗮𝘂𝘀𝗲 𝗶𝘁 𝘄𝗿𝗼𝘁𝗲 𝗶𝘁 𝗻𝗶𝗰𝗲𝗹𝘆. 𝗪𝗮𝗻𝗻𝗮 𝗺𝗮𝗸𝗲 𝗶𝘁 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆…
𝗧𝗵𝗲 𝗯𝗲𝘀𝘁 𝗠𝗟 𝗮𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺 𝗶𝗻 𝗮 𝗰𝗿𝗶𝘀𝗶𝘀? 𝗥𝗮𝗻𝗱𝗼𝗺 𝗙𝗼𝗿𝗲𝘀𝘁. No matter if you’re building a fraud detection model or a credit scoring system 𝗥𝗮𝗻𝗱𝗼𝗺 𝗙𝗼𝗿𝗲𝘀𝘁 often beats everything else without deep tuning. Here’s how it works, 𝗮𝘀 𝗶𝗳…
𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗠𝗟 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝘁𝗶𝗺𝗲 𝗰𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆 𝗶𝘀 𝗹𝗶𝗸𝗲 𝗰𝗼𝗱𝗶𝗻𝗴 𝗯𝗹𝗶𝗻𝗱𝗳𝗼𝗹𝗱𝗲𝗱. You might train the model… You might get good accuracy… But if you don’t know how the algorithm scales with data, You’ll end up deploying a model that…
𝗦𝗤𝗟 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗖𝗵𝗲𝗮𝘁𝗦𝗵𝗲𝗲𝘁 (𝟮𝟬𝟮𝟱 𝗘𝗱𝗶𝘁𝗶𝗼𝗻) 𝗟𝗲𝘁’𝘀 𝗯𝗲 𝗵𝗼𝗻𝗲𝘀𝘁: 𝗦𝗤𝗟 𝗰𝗮𝗻 𝗺𝗮𝗸𝗲 𝗼𝗿 𝗯𝗿𝗲𝗮𝗸 𝘆𝗼𝘂𝗿 𝗶𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄. ➤ 𝗝𝗢𝗜𝗡𝘀 𝗮𝗿𝗲 𝗮 𝗳𝗮𝘃𝗼𝗿𝗶𝘁𝗲 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 ⟶ INNER JOIN: Returns matching rows ⟶ LEFT JOIN:…
This is wild. OpenAI just dropped Deep Research and it is powered by a fine-tuned o3 model (NOT o3-mini) 🤯
A problem from Canadian Math Olympiad. Without using a computer, evaluate the following sum.
Do computer architecture course atleast once in your life. It fills in so many gaps and enhances fundamental understanding of computer science and software development
Applied Machine Learning - Cornell CS5785 "Starting from the very basics, covering all of the most important ML algorithms and how to apply them in practice. Executable Jupyter notebooks (and as slides)". 80 videos!!
Imagine an object with finite volume but infinite surface area. Gabriel's Horn is so beautiful. 😍 [bit.ly/384Mk3n]
Python cheat sheet for download (bookmark).
Here are 3 Ways to Count Rows:
Python Numpy Cheat Sheet Learn more here: ailearninghub.io
The best way to learn #machinelearning is to: Avoid popular content that oversimplifies concepts, especially when written by individuals with no real ML experience. Dive into high-quality books and work through them diligently. While it may be challenging at first, the effort…
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