1.0M
CHMachine learning relies heavily on mathematical foundations.
#tech #ml #explore #fyp #ai
@chrisoh.zip
#Content Machine Learning
Mira videos de Reels sobre Content Machine Learning de personas de todo el mundo.
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(12)
349.5K
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
42.7K
LILet’s see if I can cover the ML pipeline in 60 seconds ⏰😅
Machine learning isn’t just training a model. A production ML lifecycle typically looks like this:
1️⃣ Define the problem & objective
2️⃣ Collect and (if needed) label data
3️⃣ Split into train / validation / test sets
4️⃣ Data preprocessing & feature engineering
5️⃣ Train the model (forward pass + backpropagation in deep learning)
6️⃣ Evaluate on held-out data to measure generalization
7️⃣ Hyperparameter tuning (learning rate, architecture, etc.)
8️⃣ Final testing before release
9️⃣ Deploy (batch inference or real-time serving behind an API)
🔟 Monitor for data drift, concept drift, latency, cost, and reliability
1️⃣1️⃣ Retrain when performance degrades
Training updates weights.
Evaluation measures performance.
Deployment serves predictions.
Monitoring keeps the system healthy.
It’s not linear. It’s a loop.
And once you move beyond a single experiment, that loop becomes a systems problem.
At scale, the challenge isn’t just modeling … it’s building reliable, scalable infrastructure that supports the entire lifecycle.
Curious if this type of content is helpful! Lmk in the comments & as always Happy Building! 🤍
@lindavivah
271.3K
COMachine Learning, explained by cats. #cat #code #ai #machinelearning #algorithm
@coding.kitty
23.1K
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
347.2K
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_
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
1.1M
COMachine learning beginners course day one 😎🤣
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#reels #reelsviral #funny #explore #study
@code_baithak
667.2K
PRBecause yehi future hai 🥳😂
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#machinelearning #ml #ai #funny #comedy
@pratham_arena
365.5K
MADon’t know where to start on your AI development journey? These projects are the “Hello World” and basic intro into machine learning 😊☺️ #machinelearning #developer
@mar_antaya
67.6K
AIIf you want to learn AI in 2026, here's where to start:
First, build a strong foundation in machine learning before moving into deep learning.
Begin with supervised methods like linear and logistic regression to understand optimization and decision boundaries, then explore KNN, Naive Bayes, decision trees, random forests, gradient boosting, and SVMs to see different modeling assumptions and performance trade-offs.
Next, study unsupervised techniques such as k-means and hierarchical clustering, Gaussian mixture models, and dimensionality reduction methods like PCA, t-SNE, and UMAP to learn how structure can be discovered without labels.
With this in mind, transition to deep learning by learning neural networks and autoencoders, then more specialized architectures like CNNs for vision, RNNs for sequences, transformers and LLMs for language, and diffusion models for generative tasks.
This progression builds intuition step by step, from classical algorithms to modern AI systems.
If you want to commit to learning AI, Join 7000+ Others in our Visually Explained AI Newsletter. It's easy to understand, with math included—it's also completely free. The link is in our bio 🔗.
Join our AI community for more posts like this @aibutsimple 🤖
#machinelearning #deeplearning #statistics #computerscience #coding #mathematics #math #physics #science #education
@aibutsimple
203.4K
AJComment “AI” to get the video link.
Artificial Intelligence and Machine Learning - Learn and Teach Series. Started the series and the first video is available on my YouTube channel. It is about Artificial Intelligence. Beginner friendly video in Tamil.
Link is in my Bio.
Please watch and share your feedback !!
#artificialintelligence #machinelearning #tamil #codingintamil #coding #jobs #softwaredeveloper #ai #ml #aiml
@ajithkumar_b_
✨ Guía de Descubrimiento #Content Machine Learning
Instagram aloja thousands of publicaciones bajo #Content Machine Learning, creando uno de los ecosistemas visuales más vibrantes de la plataforma.
Descubre el contenido más reciente de #Content Machine Learning sin iniciar sesión. Los reels más impresionantes bajo esta etiqueta, especialmente de @sambhav_athreya, @code_baithak and @chrisoh.zip, están ganando atención masiva.
¿Qué es tendencia en #Content Machine Learning? Los videos de Reels más vistos y el contenido viral se presentan arriba.
Categorías Populares
📹 Tendencias de Video: Descubre los últimos Reels y videos virales
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🌟 Creadores Destacados: @sambhav_athreya, @code_baithak, @chrisoh.zip y otros lideran la comunidad
Preguntas Frecuentes Sobre #Content Machine Learning
Con Pictame, puedes explorar todos los reels y videos de #Content Machine Learning sin iniciar sesión en Instagram. Tu actividad de visualización permanece completamente privada - sin rastros, sin cuenta requerida. Simplemente busca el hashtag y comienza a explorar contenido trending al instante.
Análisis de Rendimiento
Análisis de 12 reels
💡 Posts top promedian 1.0M vistas (2.1x sobre promedio)
Enfócate en horas pico (11-13, 19-21h) y formatos trending
Consejos de Creación de Contenido y Estrategia
💡 El contenido más exitoso obtiene más de 10K visualizaciones - enfócate en los primeros 3 segundos
📹 Los videos verticales de alta calidad (9:16) funcionan mejor para #Content Machine Learning - usa buena iluminación y audio claro
✨ Muchos creadores verificados están activos (33%) - estudia su estilo de contenido
✍️ Descripciones detalladas con historia funcionan bien - longitud promedio 507 caracteres
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Explorar Content Machine Learning#content machine#learning#machine learning#learn#learned#learn machine learning#machine learne#machine learning for content