Rutul Trivedi’s Post

In case you missed a new video has dropped on #codetutor. We dive into the transition from classical AI to machine learning, highlighting the shift from manually coded programs to systems that learn independently. We explore the core concept of machine learning, emphasising the importance of systems that can learn from data, akin to human learning processes. #MachineLearning #ArtificialIntelligence #NeuralNetworks #DataScience

Thrilled to complete the Fundamentals of Generative AI course of "SAWIT.AI Learnathon" program! Excited to leverage machine learning techniques to create innovative solutions. #GenerativeAI #MachineLearning #DeepLearning #HCLTech #WomenTechmakers

Proud to have completed another exciting task focused on machine learning. This challenge involved hand gesture recognition model, helping me strengthen my skills in model evaluation. Every step in this journey reinforces my passion for leveraging AI and machine learning to solve real-world problems. Excited to continue learning and growing in this space! #MachineLearning #ArtificialIntelligence #DataScience #SkillBuilding

Ready to explore #AI’s impact on finance? Join Forvis Mazars US for an informative webinar covering everything from machine learning to the AI life cycle and beyond. Learn about prompt engineering, supervised and unsupervised learning, and practical use cases. Sign up now: https://lnkd.in/eStYgtNX

Join us in revisiting an insightful discussion with Ananya Kumar from the Stanford AI Lab as he dives deep into the concept of Contrastive Learning. In this enlightening talk, Ananya and Snorkel CEO Alex Ratner explore how Machine Learning models can sometimes falter when the train and test data are drawn from different distributions. They delve into Contrastive Learning as a potent and unsupervised domain adaptation method that has the potential to revolutionize the way we approach machine learning. Watch the full discussion here: https://buff.ly/3vyQ0Xq #StanfordAI #ContrastiveLearning #MachineLearning

🔍 Machine Learning Explainability I dove deep into the tools and methods to make machine learning models more transparent. This course helped me explore techniques like SHAP, LIME, and partial dependence plots to understand how models make predictions. I now feel more equipped to communicate complex machine learning outputs in a way that's clear to non-technical stakeholders, enhancing trust and transparency in AI systems. #MachineLearning #Explainability #AITransparency #SHAP #LIME #DataScience

Machine learning drives solutions we once thought impossible—from self-driving cars to diagnosing diseases. Andrew Ng explains how it became the foundation of AI and why it’s reshaping industries everywhere. Learn more and #BreakIntoAI with the Machine Learning Specialization. Build a strong foundation in AI concepts and develop practical machine learning skills in this beginner-friendly, 3-course program by AI pioneer Andrew Ng: https://hubs.la/Q02ZQ3WW0

Ready to explore #AI’s impact on finance? Join Forvis Mazars US for an informative webinar covering everything from machine learning to the AI life cycle and beyond. Learn about prompt engineering, supervised and unsupervised learning, and practical use cases. Sign up now: https://lnkd.in/eE79Dqs9

🌟 Exciting Milestone 🌟 I'm thrilled to share that I've successfully completed the Building Generative AI Applications with Gradio course! This accomplishment has significantly boosted my skills in developing user-friendly AI interfaces utilizing Gradio. The journey of learning, from creating AI models to designing engaging applications, has been truly rewarding and enlightening. #GenerativeAI #Gradio #AIApplications #LearningJourney #AIInnovation Check out my achievement: https://lnkd.in/g-FHMCe8

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