Trending Feed
12 posts loaded

how to learn ml with no experience - been getting asked a ton about this #techcareer #ai #machinelearning #careergrowthtips #careerdevelopment #datascience

Here’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

Machine learning relies heavily on mathematical foundations. #tech #ml #explore #fyp #ai

I’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 If you don’t receive the link you either need to follow first then comment, or your instagram is outdated.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

Here 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

here’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

Learn to Learn Machine Learning 👾 This one is basic af, and I’ve abstracted a lot of the complexity but we’ll get more complex as we go. (It was 54 seconds, then I yapped in the intro too much) If there are any topics you want me to cover, let me know #machinelearning #ai

🚀 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 --- 💡 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. --- 🔍 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. --- 🔥 Hashtags: #MachineLearning #AI #ArtificialIntelligence #DeepLearning #DataScience #Python #MLRoadmap #LearnML #TechCareers #Programming #NLP #ComputerVision #MLOps #DataEngineer #FutureSkills #Roadmap2025 #AIEducation #AIRevolution #CodingJourney

2025 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

📌 “Confused about how to start your Machine Learning & AI journey? Here’s your complete roadmap from zero to job-ready! 💻✨” No more scrolling through 100 videos — this 30 sec guide has everything you need to start & grow in ML! Save 🔖 | Share 🤝 | Follow @helloworld_avani for more! #machinelearning #artificialintelligence #pythonforbeginners #datasciencelearning #mlroadmap #techreels #codingjourney #learnwithme #careerinttech #reelsforstudents #studygramindia #trending #explorepage

Do you think we can build a solid model at the end of this year? #formula1 #machinelearning #programming

Aurelien Gerons Hands-on ML book is by far the best when it comes to learning Machine Learning hands-on way. I have already shared 🆓 PDFs of this books previous versions with our exclusive instagram subscribers. Do note that buying this latest edition is an investment that's worth every penny. ⚠️ Before you read the book make sure you have your basics covered that includes, Python & Basic Theory of Machine Learning. Did you like the post? if yes then kindly 🏆Follow @datasciencebrain #dsbrain for more amazing Data Science resources and News. Also 📌Tag your friends who would like to know about this • • • • #data #datascience #dataanalytics #dataanalysis #dataanalyst #datascientist #datacleaning #practicedatascience #python #sql #dataengineering #pacticesql #pandas #datavisualization #machinelearning #deeplearning #datasciencejobs #datascienceinternship #datascienceroadmap #learndatascience #learndataanalytics #datascienceinterview #chatgpt
Top Creators
Most active in #learn-machine-learning
Reels Graph Intelligence.
Advanced mapping of high-affinity Instagram Reels semantic patterns identified within the #learn-machine-learning ecosystem.
Strategic Implementation
Our semantic engine has identified these specific pattern clusters as high-affinity matches for #learn-machine-learning. Integrated usage of #learn-machine-learning with strategic Reels tags like #cs50 machine learning and #steve bruntons machine learning book is statistically linked to a significant increase in initial Reels discovery velocity.
In-Depth Hashtag Analysis: #learn-machine-learning
Expert Review • June 4, 2026 • Based on 12 Reels
Executive Overview
#learn-machine-learning is an actively used Instagram hashtag. Across the 12 trending reels analyzed on this page, the content has accumulated a combined total of 8,256,575 views— demonstrating strong content velocity within this content vertical. The top creator ecosystem features 8 notable accounts, led by @datasciencebrain with 2,412,178 total views. The hashtag's semantic network includes 100 related keywords such as #cs50 machine learning, #steve bruntons machine learning book, #oterion machine learning compliance, indicating its position within a broader content cluster.
Viewership & Reach Analysis
The 12 reels in this dataset have generated a combined 8,256,575 views, translating to an average of 688,048 views per reel. This exceptionally high average viewership indicates that content in this hashtag frequently hits the Explore page or Reels tab, driving massive exposure beyond the creator's immediate follower base.
The highest-performing reel in this dataset received 2,412,178 views. This viral outlier performance is 351% of the average reel performance in this set. This significant gap between the top performer and the average highlights the "viral lottery" nature of this hashtag — breakout hits can achieve massive scale.
Content Overview & Top Creators
The #learn-machine-learning ecosystem is dominated by short-form video content (Reels), aligning with Instagram's algorithmic preference for video-first distribution. There are 8 distinct accounts contributing to the trending feed. The top creator, @datasciencebrain, has contributed 1 reel with a total viewership of 2,412,178. The top three creators — @datasciencebrain, @mar_antaya, and @sambhav_athreya — together account for 67.4% of the total views in this dataset. The semantic network of #learn-machine-learning extends across 100 related hashtags, including #cs50 machine learning, #steve bruntons machine learning book, #oterion machine learning compliance, #machine learning pharma. Creators often use these tags together to reach overlapping audiences.
Discoverability & Reach Potential
The discoverability metrics for #learn-machine-learning indicate an active content ecosystem. The average of 688,048 views per reel demonstrates consistent audience reach. For creators using #learn-machine-learning, high-quality production and strong hooks in the first 1-2 seconds tend to perform best given the competition.
Analyst Verdict
#learn-machine-learning demonstrates the hallmarks of a well-performing Instagram hashtag. With an average of 688,048 views per reel, the viewership metrics position this hashtag as a premium discovery vehicle. Creators like @datasciencebrain and @mar_antaya are leading the charge, setting viewership benchmarks for the community.
Frequently Asked Questions
Everything about #learn-machine-learning on Instagram
Global Reels Trends
Explore high-velocity Instagram Reels hashtags currently shaping global discovery.











