#machinelearning search results
Best Neural Network Courses - mltut.com/best-neural-ne… @KirkDBorne @antgrasso @ronald_vanloon #MachineLearning #DeepLearning #BigData #Datascience #ML #HealthTech #DataVisualization #ArtificialInteligence #SoftwareEngineering #GenAI #deeplearning #ChatGPT #OpenAI #python #AI…
(Day 2/100) Learned about: 🔹 Challenges in ML 🔹 Applications of ML 🔹 ML Development Life Cycle 🔹 Jobs in the ML field (ignore my handwriting 😭) #100DaysOfML #MachineLearning #AI #DataScience #BuildInPublic #100DaysOfCode #AICommunity #LearningInPublic
Ever wondered how #AI works? Here’s the 10-step structural breakdown: #ArtificialIntelligence isn’t magic—it’s methodical! #MachineLearning #DeepLearning #GenerativeAI #DigitalTransformation
Peeling back the layers of AI! This infographic unravels the complex world from Neural Networks to Deep Learning. Dive deeper into AI with the insights from @ingliguori's 'The Digital Edge' 👉 bit.ly/3u4pILl #ArtificialIntelligence #MachineLearning #DeepLearning
I recently taught tree-based gradient boosting in my #MachineLearning course, and I could tell some students did not fully understand how it works. So last night, I built an interactive #Python @matplotlib dashboard to bring it to life! You can train a gradient boosting model…
In Machine Learning, too much bias makes a model rigid. Too much variance makes it unstable. In life, it’s the same being too fixed or too flexible both hurt growth. Balance matters more than perfection. ⚖️ #MachineLearning #GrowthMindset #DataScience
#LinearAlgebra and #Optimization for #MachineLearning [516-page textbook]: amzn.to/39aWf8N ————— #DataScience #DataScientist #AI #ML #Mathematics #Algorithms #ORMS
How could you use no-code AI to boost your projects? Top 10 Machine Learning Trends to Watch in 2025 graphite-note.com/machine-learni… #AI #MachineLearning #IoT
It was a wonderful learning experience that helped me explore [mention key skill or domain — e.g., AI/ML concepts, real-world problem-solving, or collaborative development]. #LearningNeverStops #AI #MachineLearning #TechJourney #Certificate
Moving further along my ML journey! Sharing a few glimpses from my notes on Maths & Statistics for ML the core foundations behind every great model. Loving how everything’s starting to connect together. #MachineLearning #DataScience #Statistics #MathsForML #LearningJourney
Day 52 of becoming an ML beast 🦾 -Learned how to implement Stack using Linked List -Solved LeetCode problems -Practiced ML for my Happiness Index project -learned Streamlit #MachineLearning #LeetCode #DataScience
A #MachineLearning-based #Weather forecasting model from DeepMind leads to better, faster, and more accessible 10-day weather predictions than existing approaches, according to a 2023 Science study. Learn more about #GraphCast: scim.ag/4o86hIM #ScienceMagArchives
The 5 Pillars of Modern #AI by @Python_Dv #ArtificialIntelligence #MachineLearning #ML #DL cc: @HaroldSinnott @gp_pulipaka @alvinfoo
Which #AI Tool to Use and When by @genamind #ArtificialIntelligence #MachineLearning #ML #MI cc: @HaroldSinnott @gp_pulipaka @alvinfoo
Started my Statistics journey today! Learned about variance, standard deviation, probability, and hypothesis testing — the true backbone of AI & ML. It’s exciting to finally understand how data actually speaks through numbers. #AI #MachineLearning #Statistics #DataScience
Day 57 of #100DaysOfCode SVM kernel tuning: Used Iris dataset (first 2 features) Trained SVM and compared kernels Kernel = boundary shape C = strictness Gamma = curve sharpness Repo: github.com/utkarszz/Machi… #MachineLearning #SVM #Python #100DaysOfCode
Model improved detection accuracy by ~12% on enterprise-scale data. #financialfraud #machinelearning #quantumcomputing #fintechinnovation #AI #datascience #aml #antimoneylaundering #creditcard #fraud
🚀 ¡Llega el #EmerTech2_0 Fortalece tu estrategia de venta consultiva con #IA, #MachineLearning y #AnalíticaAvanzada. 📅 10 oct - 15 dic 📍 Modalidad híbrida 🤝 Organiza: Clúster TEC Bogotá-Cund. #Emprendimiento #Innovación #TransformaciónDigital #Empleabilidad
Month recap: shared my journey, projects, & insights on hybrid quantum-classical ML for fraud detection. #financialfraud #machinelearning #quantumcomputing #fintechinnovation #AI #datascience #aml #antimoneylaundering #creditcard #fraud
LRMs: The Silent Thinkers of Our Dystopian Age 3dsciencenews.com/lrms-the-silen… #ai #cognition #machineLearning
Drawing boxes all day? Is this a job or a toddler's art class? Zentri Bound Box Editor: AI to the rescue! #MachineLearning #DataAnnotation #MachineLearning #DataAnnotation bit.ly/48IylO2
🐬 Isomorphic Laboratories is hiring ML Platform Engineer 🌇 Lausanne, Switzerland, London, UK 💪 #Machine Learning #machinelearning #tech #softwareengineer #jobs echojobs.io/job/isomorphic…
(Day 2/100) Learned about: 🔹 Challenges in ML 🔹 Applications of ML 🔹 ML Development Life Cycle 🔹 Jobs in the ML field (ignore my handwriting 😭) #100DaysOfML #MachineLearning #AI #DataScience #BuildInPublic #100DaysOfCode #AICommunity #LearningInPublic
Ever wondered how #AI works? Here’s the 10-step structural breakdown: #ArtificialIntelligence isn’t magic—it’s methodical! #MachineLearning #DeepLearning #GenerativeAI #DigitalTransformation
Moving further along my ML journey! Sharing a few glimpses from my notes on Maths & Statistics for ML the core foundations behind every great model. Loving how everything’s starting to connect together. #MachineLearning #DataScience #Statistics #MathsForML #LearningJourney
It was a wonderful learning experience that helped me explore [mention key skill or domain — e.g., AI/ML concepts, real-world problem-solving, or collaborative development]. #LearningNeverStops #AI #MachineLearning #TechJourney #Certificate
12 #AI skills to master in 2025 by @Khulood_Almani #ArtificialIntelligence #MachineLearning #ML #Technology cc: @marcusborba @mikequindazzi @evankirstel
In Machine Learning, too much bias makes a model rigid. Too much variance makes it unstable. In life, it’s the same being too fixed or too flexible both hurt growth. Balance matters more than perfection. ⚖️ #MachineLearning #GrowthMindset #DataScience
Peeling back the layers of AI! This infographic unravels the complex world from Neural Networks to Deep Learning. Dive deeper into AI with the insights from @ingliguori's 'The Digital Edge' 👉 bit.ly/3u4pILl #ArtificialIntelligence #MachineLearning #DeepLearning
Day 14 — #100DaysOfAIML • Studied data extraction using Python Learning how to collect and clean raw data — the first real step before any ML magic happens. ⚙️ #BuildInPublic #MachineLearning #Python #letsconnect
How could you use no-code AI to boost your projects? Top 10 Machine Learning Trends to Watch in 2025 graphite-note.com/machine-learni… #AI #MachineLearning #IoT
Day 52 of becoming an ML beast 🦾 -Learned how to implement Stack using Linked List -Solved LeetCode problems -Practiced ML for my Happiness Index project -learned Streamlit #MachineLearning #LeetCode #DataScience
The new AI server! 3 NVIDIA 3090s 72GB of VRAM Why? - Larger LLM’s - 0 api limits, no subs, my data & custom. - Agentic workflow & tools - Long-KV game & app dev - Training/Tuning models #AI #MachineLearning #DeepLearning #NVIDIA #RTX3090 #LocalLLM #docker #vllm #buyagpu
Day 77: ✅ Focused on timing closure and resource balance in TPG pipelines to keep II = 1 at 250 MHz ✅ Obtained partial simulation results for my new paper 📊 ✅ 45 minutes workout 🏋🏻♀️ #MachineLearning #AI #FPGA #100DaysofCode
Our team had the pleasure of attending The 9th DeKUT International Conference on Science, Technology, Innovation and Entrepreneurship (STI&E) at @DeKUTkenya where we presented the ongoing work at our Centre. #STI&E #machinelearning #AI #datascience #DSAIL
5 advanced #MLEngineer tricks to level up your game! Which one will you implement first? #MLOps #MachineLearning #TechTips
Get one of these #ML with #Python books, depending on your level: 🌟1000 5-star ratings🌟>> “Machine Learning For Absolute Beginners” amzn.to/31wg9ni 🌟2900 5-star ratings🌟>> "Hands-On #MachineLearning with Scikit-Learn, #Keras and #TensorFlow" amzn.to/3xGyufi
Day 20 of #100DaysOfCode 📊 – Evaluating ML Models 🔹 Explored model performance metrics — Accuracy, Precision, Recall & F1 🔹 Learned Regression metrics – MAE, MSE & RMSE 🔹 Compared results of Linear Regression, KNN & Decision Tree #LearnInPublic #MachineLearning #ScikitLearn
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