BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Webgyrlz Code Computer Science Training - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://webgyrlzcode.org
X-WR-CALDESC:Events for Webgyrlz Code Computer Science Training
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20230101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=UTC:20250305T090000
DTEND;TZID=UTC:20250305T160000
DTSTAMP:20260421T120531
CREATED:20250108T203310Z
LAST-MODIFIED:20250108T203310Z
UID:3140-1741165200-1741190400@webgyrlzcode.org
SUMMARY:Women in Data Science (WiDS) Raleigh @ NC State
DESCRIPTION:Welcome to Women in Data Science (WiDS) Raleigh at NC State! Join us at the James B. Hunt Jr. Library for a day filled with inspiring talks\, workshops\, and networking opportunities. This in-person event aims to celebrate and empower women in the data science field. Whether you’re a seasoned professional or just starting out\, this event is perfect for anyone passionate about data science. Don’t miss out on this fantastic opportunity to connect with like-minded individuals and learn from industry experts. See you there!
URL:https://webgyrlzcode.org/event/women-in-data-science-wids-raleigh-nc-state/
LOCATION:James B. Hunt Jr. Library\, 1070 Partners Way\, Raleigh\, NC\, 27606\, United States
CATEGORIES:Artificial Intelligence,Tech
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250118T180000
DTEND;TZID=UTC:20250118T190000
DTSTAMP:20260421T120531
CREATED:20250107T222545Z
LAST-MODIFIED:20250107T223004Z
UID:3095-1737223200-1737226800@webgyrlzcode.org
SUMMARY:40-Minutes to Applied AI & Data Science: Expert Guidance & Career Insights!
DESCRIPTION:Unlock Your Future in Applied AI & Data Science! 🚀 \n📅 Date: January 18\, 2025\n⏰ Time: 6:00 PM EST\n🌐 Location: Online \n*** \nAre you ready to dive into the exciting world of Applied AI & Data Science? 🤖📊 This free online event will provide: \n✨ Expert guidance on mastering AI & Data Science tools.\n✨ Insights into career opportunities in this booming field.\n✨ Details about our cutting-edge curriculum and hands-on projects.\n✨ Live Q&A with our experienced instructors.\n💡 Whether you’re just starting out or looking to enhance your skills\, this session is designed to give you all the information you need to succeed! \n🔍 Why should you attend? \n✔️ Gain a clear understanding of Applied AI & Data Science.\n✔️ Learn how our course prepares you for real-world challenges.\n✔️ Discover the support we offer for career success.\n✔️ Get your questions answered live by industry experts! \n*** \n🌟 Take the next step in your career today! \n📌 Apply for the course now: https://hi.clarusway.com/uhL2V \n📌 Talk to an advisor for personalized guidance: https://hi.clarusway.com/uhL2X \n🎯 Your journey into AI & Data Science starts here—don’t miss it! \n👉 See you there! 😊
URL:https://webgyrlzcode.org/event/40-minutes-to-applied-ai-data-science-expert-guidance-career-insights/
LOCATION:NC
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240829T190000
DTEND;TZID=UTC:20240829T220000
DTSTAMP:20260421T120531
CREATED:20240416T122720Z
LAST-MODIFIED:20240416T122720Z
UID:2833-1724958000-1724968800@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-20/
LOCATION:NC
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240825T190000
DTEND;TZID=UTC:20240825T220000
DTSTAMP:20260421T120531
CREATED:20240416T135824Z
LAST-MODIFIED:20240416T135824Z
UID:2926-1724612400-1724623200@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-19/
LOCATION:NC
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240822T190000
DTEND;TZID=UTC:20240822T220000
DTSTAMP:20260421T120531
CREATED:20240416T122649Z
LAST-MODIFIED:20240416T122649Z
UID:2831-1724353200-1724364000@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-19/
LOCATION:NC
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240818T190000
DTEND;TZID=UTC:20240818T220000
DTSTAMP:20260421T120531
CREATED:20240416T135749Z
LAST-MODIFIED:20240416T135749Z
UID:2924-1724007600-1724018400@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-18/
LOCATION:NC
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240815T190000
DTEND;TZID=UTC:20240815T220000
DTSTAMP:20260421T120531
CREATED:20240416T122603Z
LAST-MODIFIED:20240416T122603Z
UID:2829-1723748400-1723759200@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-18/
LOCATION:NC
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240811T190000
DTEND;TZID=UTC:20240811T220000
DTSTAMP:20260421T120531
CREATED:20240416T135635Z
LAST-MODIFIED:20240416T135635Z
UID:2922-1723402800-1723413600@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-17/
LOCATION:NC
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240808T190000
DTEND;TZID=UTC:20240808T220000
DTSTAMP:20260421T120531
CREATED:20240416T122459Z
LAST-MODIFIED:20240416T122459Z
UID:2827-1723143600-1723154400@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-17/
LOCATION:NC
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240804T190000
DTEND;TZID=UTC:20240804T220000
DTSTAMP:20260421T120531
CREATED:20240416T135453Z
LAST-MODIFIED:20240416T135453Z
UID:2920-1722798000-1722808800@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-16/
LOCATION:NC
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240801T190000
DTEND;TZID=UTC:20240801T220000
DTSTAMP:20260421T120531
CREATED:20240416T122430Z
LAST-MODIFIED:20240416T122430Z
UID:2825-1722538800-1722549600@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-16/
LOCATION:NC
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240728T190000
DTEND;TZID=UTC:20240728T220000
DTSTAMP:20260421T120531
CREATED:20240416T135257Z
LAST-MODIFIED:20240416T135257Z
UID:2918-1722193200-1722204000@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-15/
LOCATION:NC
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240725T190000
DTEND;TZID=UTC:20240725T220000
DTSTAMP:20260421T120531
CREATED:20240416T122345Z
LAST-MODIFIED:20240416T122345Z
UID:2823-1721934000-1721944800@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-15/
LOCATION:NC
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240721T190000
DTEND;TZID=UTC:20240721T220000
DTSTAMP:20260421T120531
CREATED:20240416T135155Z
LAST-MODIFIED:20240416T135155Z
UID:2916-1721588400-1721599200@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-14/
LOCATION:NC
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240718T190000
DTEND;TZID=UTC:20240718T220000
DTSTAMP:20260421T120531
CREATED:20240416T122212Z
LAST-MODIFIED:20240416T122212Z
UID:2821-1721329200-1721340000@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-14/
LOCATION:NC
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240714T190000
DTEND;TZID=UTC:20240714T220000
DTSTAMP:20260421T120531
CREATED:20240416T135114Z
LAST-MODIFIED:20240416T135114Z
UID:2914-1720983600-1720994400@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-13/
LOCATION:NC
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240711T190000
DTEND;TZID=UTC:20240711T220000
DTSTAMP:20260421T120531
CREATED:20240416T122143Z
LAST-MODIFIED:20240416T122143Z
UID:2819-1720724400-1720735200@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-13/
LOCATION:NC
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240707T190000
DTEND;TZID=UTC:20240707T220000
DTSTAMP:20260421T120531
CREATED:20240416T135013Z
LAST-MODIFIED:20240416T135013Z
UID:2912-1720378800-1720389600@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-12/
LOCATION:NC
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240704T190000
DTEND;TZID=UTC:20240704T220000
DTSTAMP:20260421T120531
CREATED:20240416T122105Z
LAST-MODIFIED:20240416T122105Z
UID:2817-1720119600-1720130400@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-12/
LOCATION:NC
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240630T190000
DTEND;TZID=UTC:20240630T220000
DTSTAMP:20260421T120531
CREATED:20240416T134920Z
LAST-MODIFIED:20240416T134920Z
UID:2910-1719774000-1719784800@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-11/
LOCATION:NC
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240627T190000
DTEND;TZID=UTC:20240627T220000
DTSTAMP:20260421T120531
CREATED:20240416T122020Z
LAST-MODIFIED:20240416T122020Z
UID:2815-1719514800-1719525600@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-11/
LOCATION:NC
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240623T190000
DTEND;TZID=UTC:20240623T220000
DTSTAMP:20260421T120531
CREATED:20240416T134826Z
LAST-MODIFIED:20240416T134826Z
UID:2908-1719169200-1719180000@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-10/
LOCATION:NC
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240620T190000
DTEND;TZID=UTC:20240620T220000
DTSTAMP:20260421T120531
CREATED:20240416T121931Z
LAST-MODIFIED:20240416T121931Z
UID:2813-1718910000-1718920800@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-10/
LOCATION:NC
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240616T190000
DTEND;TZID=UTC:20240616T220000
DTSTAMP:20260421T120531
CREATED:20240416T134728Z
LAST-MODIFIED:20240416T134728Z
UID:2906-1718564400-1718575200@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-9/
LOCATION:NC
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240613T190000
DTEND;TZID=UTC:20240613T220000
DTSTAMP:20260421T120531
CREATED:20240416T121821Z
LAST-MODIFIED:20240416T121821Z
UID:2811-1718305200-1718316000@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-9/
LOCATION:NC
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240609T190000
DTEND;TZID=UTC:20240609T220000
DTSTAMP:20260421T120531
CREATED:20240416T134603Z
LAST-MODIFIED:20240416T134603Z
UID:2904-1717959600-1717970400@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-8/
LOCATION:NC
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240606T190000
DTEND;TZID=UTC:20240606T220000
DTSTAMP:20260421T120531
CREATED:20240416T121725Z
LAST-MODIFIED:20240416T121725Z
UID:2809-1717700400-1717711200@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-8/
LOCATION:NC
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240602T190000
DTEND;TZID=UTC:20240602T220000
DTSTAMP:20260421T120531
CREATED:20240416T134523Z
LAST-MODIFIED:20240416T134523Z
UID:2902-1717354800-1717365600@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-7/
LOCATION:NC
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240530T190000
DTEND;TZID=UTC:20240530T220000
DTSTAMP:20260421T120531
CREATED:20240416T121544Z
LAST-MODIFIED:20240416T121544Z
UID:2807-1717095600-1717106400@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-7/
LOCATION:NC
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240526T190000
DTEND;TZID=UTC:20240526T220000
DTSTAMP:20260421T120531
CREATED:20240416T134322Z
LAST-MODIFIED:20240416T134322Z
UID:2900-1716750000-1716760800@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-6/
LOCATION:NC
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
END:VCALENDAR