#machinelearning
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Best Free Resources to Learn AI 🚀
Hey AI enthusiasts! 🌟 Here’s a curated list of the best FREE resources to kickstart your AI journey. Whether you’re a beginner or looking to deepen your skills, these tools, courses, and communities will help you level up! 🎓 ---- YouTube Channels 🎥 Learn visually with these amazing creators: •
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🚀 2025 AI Learning Roadmap: From Zero to Employmen
Hey everyone! 🌟 Here's a comprehensive AI learning roadmap to help you go from a beginner to a professional in the field of AI by 2025. Let's break it down into nine stages: ---- 1️⃣ Build Strong Foundations • Python: Master the basics of Python programming. • Data Processing: Learn l
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Best AI productivity tools
AI tools are changing the game, from writing and brainstorming to scheduling and data analysis. They make everyday work faster, smarter, and way easier Here is a categorized list of AI productivity tools you will actually want to try 😎👆 Got a favorite tool that’s not on the list? Drop it in
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Where to find datasets for Data Science projects
If you're interested in practicing your data science skills and building some models, the first step is finding a dataset to work with! It can be time consuming and difficult to build your own dataset, since you need thousands to hundreds of thousands of rows of data, but thankfully there a
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read these books to be an AI algorithm expert 🤖✨
📚✨ Hey there, book lovers and AI enthusiasts! 🤖💡 I'm excited to share with you three must-read books that are absolute game-changers for anyone diving into the world of AI and machine learning. First up, "Machine Learning for Beginners”. If you're just starting out, this book is you
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Top 5 Must-Read Books for Python & Data Science
#pythonforbeginners #datasciencejourney #machinelearning #beginnercoding #learnprogramming
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Types of Data Analysis
To comprehend data analysis effectively, it is essential to understand the various types of data analysis. While some textbooks may mention only three types, I will provide you with five current types of data analysis. 🤓 Here are the five types: 1. Descriptive Analysis 📊 2. Exploratory Analy
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Machine learning engineer - what to study
1. Build a Strong Foundation - Learn the Basics: Master key concepts like supervised and unsupervised learning, regression, classification, and clustering. - Mathematics: Study linear algebra, calculus (for optimization), probability, and statistics. - Programming: Focus on Python a
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AI Career Paths and Skill Development
Hello everyone! AI field offers diverse career paths with specialized skills and I wanted to share some of the roles! Machine Learning Engineers focus on Python, machine learning algorithms, and TensorFlow/PyTorch. Data Scientists excel in statistics, Python/R for data manipulation, machine learnin
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Great Resource for Studying Machine Learning
If you are studying ML, this resource is an absolute game changer! #machinelearning #microlearning #lemon8diary #lemon8challenge #study #studying #computerscience #coding #machinelearningalgorithms #TechTips
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Most recent
Everyone's building agents. So why did Redis release a feature store? I went on a tech walk with Simba Khadder, founder of Featureform (acquired by Redis) & now Head of Context Engine at Redis, to ask him exactly that and he dropped some fantastic insights! "It's almost like everyone forgot -
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Vibing with my headphones
Dallas studying Machine Learning in Java #machinelearning #java
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✨ Gimana Sih ChatGPT dan AI Lainnya Dilatih?
Gimana sih sebenarnya AI seperti ChatGPT, Claude, Gemini, atau Grok dilatih sampai bisa memahami dan menghasilkan bahasa manusia? Ternyata prosesnya jauh lebih kompleks dari sekadar "diberi banyak data". Mulai dari pengumpulan data, tokenisasi, pre-training, fine-tuning, hingga alignme
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BITCOIN HIDDEN MARKOV MODEL
Most people look at Bitcoin and see candles. I’m more interested in hidden market states. A 5-minute Hidden Markov Model (HMM) can classify BTC into probabilistic regimes — trend, chop, expansion, compression, momentum shifts, etc. The interesting part isn’t prediction in a “price magicall
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Reasoning-capable AI models
Reasoning-capable AI models are defining the future of artificial intelligence. Unlike basic prediction systems, these models can process complex information, draw logical conclusions, and tackle sophisticated problems — pushing the boundaries of what machines can think and do.. ➡️
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Meet the Mind Behind the Foreword
Before we talk about AI, misinformation, and the future… we need to talk about who helped frame this conversation. On this episode of The Book with Suzy, hosted by Suzanne Belle, I had the privilege of discussing my book Facts, Filters & Traps — but behind every strong message is a strong f
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🔧 mesin yg bisa sembuh sendiri ❓❓
like dan share video ini ke temanmu untuk berbagi pengetahuan teknologi inovasi ini. gimana menurut kalian?? teknologi selalu update. jangan sampai kamu ketinggalan. #technologyupdates #machinelearning #fypシ #faktaunik #lemon8indonesia
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