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10تسع ايام فقط متبقية للاستفادة من حوالي 120كورس مجاني لفترة محدودة ادخل زيدهم في حسابك قبل مايوليو بالدراهم
https://365datascience.com/free-weeks-2025/
@1001tech24
#Datascience 365
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SODAY 4 - TURTLE (365 Days Data Science Challenge) #datascience #coding #viral #python #vlog #exception
It's me, Sourabh Bhatt, 😄 sophomore MAC DU :)
And I'm documenting my coding journey. I will record coding videos, and daily progress to keep track of myself. To keep me motivated.
In this, I learned about some more theoretical concepts of functions. And after that, I got to know about Turtle 🐢. Not a real one. This cute ☺️ turtle 🐢 library helped me to understand how computer graphics work.
I explored it for a few minutes and suddenly I got a question on CHEGG on the same topic. And it becomes CHERRY 🍒 ON THE CAKE 🎂.
I solved the problem and got some Penney to purchase a few more candies😋.
Turtle 🐢 is very helpful for me. I will explore it more tommorow and grow more.
I am limitless now😄🔥🏆
#coding #vlogs #documentation #dayinlifeofcomputersciencestudent
@sourabhbhattt
7.3K
BUDay 53/365 — NVIDIA just released FREE AI courses for 2025. 🚀
I went through them and here are my Top 5 picks:
1️⃣ Generative AI Explained
2️⃣ Intro to AI in the Data Center
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💡 These cover everything from GenAI basics to building advanced AI agents.
👉 Want the full list (including wild ones like Building a Brain in 10 Minutes)?
Comment NVIDIA and I’ll send you the link.
#AI #NVIDIA #FreeCourses #MachineLearning #BuildInPublic #GenerativeAI #RAG
@builddome
206.3K
ISFind Top AI Tools HERE!🔥
Ive been consistently using Futuretools to find the best ai tools that are trending on sunday every week.
There are soo many ai tools that get launched every day and it can get really tiring and overwhelming to keep track of it all.
Try it out. Send this to a friend and follow @ishansharma7390 for more!
#ai #aitools #aitool #chatgpt
@ishansharma7390
152.8K
AI...Comment “vibe” and I’ll DM you the link to DesignArena.ai the free AI builder hub that puts the world’s top AI agents in one place.
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Follow me for more underrated AI tool drops
#aitools #nocode #AIagents #webdev #aibuilder #opensourceai #aicommunity #aiforcreators #aistartups
@aiadventureryt
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CSdata structures & algorithms #cscareeradvice #softwareengineerjobs #datastructuresandalgorithms
@cs.aar0n
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ADMIT just explained this algorithm so clearly, it’ll stick with you forever.
👉 Save this post for later
Drop a 🔥 if you’re staying consistent
🔔 Follow @advicefromtraders for daily content.
Use: for educational and purposes only.
#MIT #Algorithm #TechSimplified #SmartThinking #CodeGenius #Engineering #LearnTech #BrainFuel
@advicefromtraders
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V.Comment “Data” for the link
@v.i.s.h.ai
613.6K
LEIf you want to deep research, use this AI tools, it will make your deep research easy
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@learnwithshamani
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SURepost to share with friends ♻️ Here’s how to become a data analyst in 2026 and beyond? 📈 The original video was 5 minutes long and I had to cut it down to 3 minutes because instagram. One part that got cut off was the job market. Should I post a part 2?
what are other skills that would you add to the list??
#dataanalysis #dataanalyst #sql #python
@sundaskhalidd
630.1K
THComment “LLM” to get the link in your DMs!😎
You can access all LLMs in one place!
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@thedigitalkinggg
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MA✨️Code link in bio✨️In probability theory and statistics, a normal distribution or Gaussian distribution is a type of continuous probability distribution for a real-valued random variable. The general form of its probability density function is f(x) = 1/√(2πσ²) e^(-(x-μ)²/(2σ²)) 📐
The parameter μ (mu) is the mean or expectation of the distribution (and also its median and mode), while the parameter σ² is the variance. The standard deviation of the distribution is σ (sigma). A random variable with a Gaussian distribution is said to be normally distributed, and is called a normal deviate. 📊
Normal distributions are important in statistics and are often used in the natural and social sciences to represent real-valued random variables whose distributions are not known. Their importance is partly due to the central limit theorem. It states that, under some conditions, the average of many samples (observations) of a random variable with finite mean and variance is itself a random variable—whose distribution converges to a normal distribution as the number of samples increases. Therefore, physical quantities that are expected to be the sum of many independent processes, such as measurement errors, often have distributions that are nearly normal. ⚡
Moreover, Gaussian distributions have some unique properties that are valuable in analytic studies. For instance, any linear combination of a fixed collection of independent normal deviates is a normal deviate. Many results and methods, such as propagation of uncertainty and least squares parameter fitting, can be derived analytically in explicit form when the relevant variables are normally distributed. 🎯
A normal distribution is sometimes informally called a bell curve in data science and machine learning. However, many other distributions are bell-shaped (such as the Cauchy, Student's t, and logistic distributions). This demonstration shows the fundamental principles of probability theory that underpin artificial intelligence and statistical modeling. 🌟
#math #mathematics #fyp
@mathematisa
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Instagram hosts thousands of posts under #Datascience 365, creating one of the platform's most vibrant visual ecosystems. This massive collection represents trending moments, creative expressions, and global conversations happening right now.
#Datascience 365 is one of the most engaging trends on Instagram right now. With over thousands of posts in this category, creators like @sundaskhalidd, @thedigitalkinggg and @learnwithshamani are leading the way with their viral content. Browse these popular videos anonymously on Pictame.
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