3.0M
ITcomment ‘AI’ and I’ll send you the link in your DMs
this is such a great resource to guide you on your AI/ML journey!
#techcareer #ai #machinelearning #careergrowthtips #datascience #coding
@itsallykrinsky
#Machine Learning Certification
Watch 950+ Reels videos about Machine Learning Certification from people all over the world.
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474.0K
THWant to become a Machine Learning Engineer in 2025?
Build real projects that reflect how ML is done in the industry:
1 → End-to-End ML Pipeline
Predict something useful (like student dropout risk). Clean with Pandas, train with LightGBM, deploy with FastAPI + Docker + AWS.
2 → RAG Chatbot
Build a chatbot that answers from your course notes. Use LlamaIndex + FAISS + Llama 3.1. This is how GenAI apps work today.
3 → Fine-Tune LLMs
Take an open-source LLM and fine-tune it on your own dataset. Use QLoRA with PEFT. Example: medical Q&A bot.
4 → Model Monitoring
Build a fraud detection model and track drift post-deployment using Evidently AI + Weights & Biases. Shows you think beyond training.
5 → Multimodal AI App
Photo → nutrition info + recipe. Use CLIP or Florence-2 for vision-text, connect to LLaVA or Qwen-VL, deploy with Streamlit.
This stack hits every part of the ML lifecycle—from classic ML to GenAI to production monitoring.
[mlprojects, machinelearningengineer, genai, fine-tuning, ragchatbot, mlportfolio, endtoendpipeline, multimodalai, ai2025, llmengineer, mljobs, mlworkflow, productionai]
@the.datascience.gal
457.2K
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
1.2M
CHMachine learning relies heavily on mathematical foundations.
#tech #ml #explore #fyp #ai
@chrisoh.zip
336.2K
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
AIML.com
.
.
#machinelearning #ai #resources #tech #programming #womenintech #coder #programacao #latinasintech #swe
@pikacodes
1.3M
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
145.7K
SUIf you were starting Machine Learning in 2026, what would your roadmap look like?
ㅤ
#MachineLearning
#MLJourney
#LearnML
#AI2026
#DataScienceJourney
@sundaskhalidd
59.2K
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
14.5K
SUHere are some machine learning courses that are actually worth it and will make you learn very quickly. These courses don’t have the same fluff and excessive theoretical jargon that doesn’t help you. So this list actually compiles the best ones that I have found.
And if you want to check out the courses for yourself,make sure to follow @sujar.tech and comment “Courses” and I’ll send you the links to all of these
#coding #computerscience #cs #machinelearning
@sujar.tech
30.6K
SHTop Microsoft Certifications for Free
SAVE FOR FUTURE 💯
1. Microsoft Certified Fundamentals (MCF): Covers fundamental computing concepts and provides a foundation for students interested in pursuing more advanced technology certifications.
2. Power Platform Fundamentals (PL-900): Covers Microsoft Power Platform, including Power Apps, Power Automate, and Power BI.
3. Azure Fundamentals (AZ-900): Covers Microsoft Azure, including cloud computing, security, and deployment.
4. Artificial Intelligence Fundamentals (AI-900): Covers Microsoft Azure AI services, including cognitive services, machine learning, and data science.
5. Data Fundamentals (DP-900): Covers Microsoft Azure Data Services, including SQL, NoSQL, Data Analytics, and Data Visualization.
6. M365 Fundamentals (MS-900): Covers Microsoft M365 Services, including Teams, Graph, SharePoint, Office APIs, development, security, and deployment.
Keep in mind that availability and eligibility for these free exams are limited to registered students with full academic emails
Comment your doubts ☑️
[Resume Tips, Interview Tips, Software Developer, Engineer, Data Scientist, Coding, Tech. Placements, College, Azure, Faang, Maang, Career, Certifications, Courses, Trending, Viral, Free content]
#microsoft #microsoftazure #students #engineer #engineering #coder #placement #interview #resume #jobs #certification #softwaredevelopment #softwareengineer #datascience #trending #viral #viralvideos #explorepage #explore #reels #reelsinstagram #reelitfeelit #fyp #reelsindia #instadaily #trendingsongs
@shailjamishra__
23.9K
CO🚀 Machine Learning Roadmap (2025 Edition)
Unlock your journey into AI, Machine Learning & Deep Learning with this step-by-step guide designed for beginners to advanced learners.
📌 What You’ll Learn in This Video:
⚙️ Phase 1 – Core Foundation
📐 Math Basics | 🐍 Python Programming
🧹 Phase 2 – Data Preparation
🧽 Data Cleaning | 🎛 Feature Engineering | 📊 Visualization
🤖 Phase 3 – Machine Learning Concepts
🎯 Supervised & Unsupervised Learning | 🔍 Key Algorithms
🧪 Phase 4 – Model Optimization
📈 Cross-Validation | 🛠 Hyperparameter Tuning | 📍 Metrics
🧠 Phase 5 – Advanced ML
🌀 Neural Networks | 👁 Computer Vision | 💬 NLP
🚀 Phase 6 – Deployment & Real-World Use
🗃 Model Serialization | 🌐 APIs | ☁ Cloud | 🧩 MLOps
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💡 Whether you're a beginner, student, or career switcher, this roadmap will help you become job-ready in AI and ML.
📚 Save this video and start learning step by step.
👇 Comment "ROADMAP" if you want a downloadable PDF version.
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🔍 Keywords:
Machine Learning Roadmap 2025, AI learning path, Deep Learning, Data Science Roadmap, Python for ML, Best way to learn AI, MLOps, Cloud AI skills.
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🔥 Hashtags:
#MachineLearning #AI #ArtificialIntelligence #DeepLearning #DataScience #Python #MLRoadmap #LearnML #TechCareers #Programming #NLP #ComputerVision #MLOps #DataEngineer #FutureSkills #Roadmap2025 #AIEducation #AIRevolution #CodingJourney
@codewithprashantt
17.7K
TH5 FREE AI certificates that you can add to your resume/linkedin
@thenadcoder
✨ #Machine Learning Certification Discovery Guide
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