1.2M
CHMachine learning relies heavily on mathematical foundations.
#tech #ml #explore #fyp #ai
@chrisoh.zip
#Learning Machine Learning
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SAI’ve been asked many times where to start learning ML, so after talking to so many experts in this field, this is a good place to start.
Comment down below “TRAIN” and I’ll send you a more in-depth checklist along with the best GitHub links to help you start learning each concept.
If you don’t receive the link you either need to follow first then comment, or your instagram is outdated. Either way, no worries. send me a dm and I’ll get it to you ASAP.
#cs #ai #dev #university #softwareengineer #viral #advice #machinelearning
@sambhav_athreya
456.1K
CHHere’s your full roadmap on how to get into machine learning. Comment “Roadmap” to get the pdf.
Save and follow for more.
#ai #machinelearning #coding #programming #cs
@chrispathway
348.2K
PRhere’s a full roadmap for anyone who wants to get into machine learning but doesn’t know where to start. covers the math, tools, courses, and projects that actually matter— no fluff, just what’ll get you from zero to real-world skills.
if you want the actual roadmap doc itself written up, either comment below or shoot me a DM, i’ll send it ASAP.
hope that helps. 🤝
#study #viral #education #math #advice #university #studyhelp #cs #exam #leetcode #research #machinelearning #deeplearning
@pranavpatnaik_
336.1K
PI2025 machine learning roadmap - it’s time to start prepping for AI’s takeover 💡🤖 resources mentioned:
VIDEO:
Full Applied AI Lectures by Cassie Kozyrkov
Neural Networks: Zero to Hero by Andrej Karpathy
Machine Learning Specialization by Andrew Ng
BOOKS:
An Introduction to Statistical Learning
Mathematics for Machine Learninf
Artificial Intelligence: A Modern Approach
FOR PRACTICE:
Machine Learning with PyTorch and Scikit-Learn
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#machinelearning #ai #resources #tech #programming #womenintech #coder #programacao #latinasintech #swe
@pikacodes
59.1K
EMThese are some of the best beginner-friendly resources I’ve found to actually understand machine learning.
Nothing overly complicated, just what you need to get the concepts and start building.
Comment ML and I’ll send you all the resources.
@emrcodes
125.4K
SAAI vs Machine Learning VS Deep Learning BREAKDOWN 😤 #ai #ml #tech #fyp
@sajjaad.khader
321.0K
COMachine Learning, explained by cats. #cat #code #ai #machinelearning #algorithm
@coding.kitty
217.1K
IThow to learn ml with no experience - been getting asked a ton about this #techcareer #ai #machinelearning #careergrowthtips #careerdevelopment #datascience
@itsallykrinsky
122.8K
IABeginner friendly guide to learning AI skills 📖
A lot of people feel confused about what it means to “learn AI.” Here are some practical skills and tools you can learn that are beginner friendly and don’t require any coding.
Being proficient in these skills and tools alone will make you way ahead of the curve:
1. Vibe coding: building an app by telling what you want AI to do in plain English. My favorite tool to vibe code is @lovable.dev (lmk if u want a video on this)
2. Prompt engineering: learning how to give AI clear and strategic instructions to get better results / responses. I’m currently enrolled in the Google essentials for prompt engineering course on @coursera. It’s only 4 hours and great for learning the basics.
3. Building an agent: creating an AI that doesn’t just respond but completes tasks for you. Think of it as an AI with a job description. You define the goal, the boundaries, the tools, and it executes. This is definitely on the more advanced side, so I’ll probably enroll in another course to learn how to build an agent on @claudeai
#aiskills #vibecoding #aiagent #jobmarket #learnai
@iamrawan
336.6K
GIDay 1 of Learning LLM :- What is LLM?
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#ai #ml #llm #tech #aiengineering
@girlwhodebugs
110.3K
NIComment "SKILLS" to get this new AI Learning Platform from Google.
Google just dropped Google Skills. It's a huge free platform. Over 3,000 AI courses. Made by experts at Google and DeepMind.
Think of it like a personal trainer for your career. It teaches the exact AI skills jobs need now. And in the future.
The good news? It has everything. From super basic stuff. To advanced builds.
Start here. AI prompting basics. Like telling ChatGPT what to do. Clear and simple.
Then level up. Learn ethical AI. Handle data with tools like TensorFlow. Or set up no-code automations.
Want pro level? Build your own language model. Fine-tune it. Add image gen or predictions. Like crafting a custom robot for your apps.
They added AI Boost Bites too. Quick 10-minute lessons. Perfect for busy days. I recently tried one on prompt tricks. Asked it to fix my Python code. Boom. Fixed in seconds.
Here's what you'll pick up fast:
1. Prompt better for marketing or code
2. Automate browser tasks like a pro
3. Test new AI tools without hassle
Most courses? Totally free. Like free coffee on the house.
Subscribe if you want more. Get official Google certificates. Skill badges for your resume. Proof you know your stuff.
Split long projects into bits. Even if a lesson feels tough. Keep going. You got this.
It's like having Google experts in your pocket. For developers building GitHub repos. Or no-code apps. Hands-on projects. Fresh updates on new models.
The pressure to learn AI? Real. But this makes it easy. Jump in today.
#googleskills #googleai #googledeepmind #aicourses #ailearning
@nick_saraev
✨ #Learning Machine Learning Discovery Guide
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