Maroon Bells

Deep Learning Emotion Detection project using CNN https://www.youtube.com/watch?v=N12ADRCN8_4&t=270s

shanbalar Shirinliklar & Kaggle uchun 🍪 💻

Mohirdev Data Science va Sun'iy Intellekt Praktikum kursi o'quvchilari uchun har oy soha mutaxassislari bilan maxsus uchrashuvlar tashkillashtirib boramiz! Bu oyda mehmonimiz Aziza Mirsaidova. Ular, Lage language models haqida ma'lumotlar beradilar. Uchrashuv online 10 May soat 21.00 da bo'lib o'tadi Uchrashuvga qo'shilish uchun havola: https://meet.google.com/ybk-ywio-pxr

⌛️Mohirdev masterclass is Ready to GO 🏆We are very proud to announce our masterclass with Machine Learning Engineer Aziza Mirsaidova in May 10 at 9.00 pm (Tashkent time) Masterclass topic: Large Language Models Aziza Mirsaidova is a recent graduate with a Master’s of Science in Artificial Intelligence from Northwestern University. She is a researcher at Tiilt lab at Northwestern, conducting research on multi-modal learning of speech, machine learning (ML), and natural language processing (NLP) technologies. ☎️ Note: the masterclass will be in English

Barcha Al dasturchilari uchun Yangi Dasturlash tili! 🚀 Kris Lattner, ko'plab kompilyatorlar ortidagi dasturchi va bugungi dunyoga dasturiy ta'minot Modular ni e'lon qildi. Modular Python- ning super to'plami bo'lishga qaratilgan Python dagi Machine Learning ish oqimlari uchun barcha og'riqli nuqtalarini hal qilishga qaratilgan. 💡 Ba'zi diqqatga sazovor jihatlari: 🛠Birlashtirilgan xulosa mexanizmi: har birida bir xil kodni ishga tushirish imkoniayati ⏱ Ishlashning aql bovar qilmaydigan yutuqlari: Minimal kod o'zgarishi bilan siz yuqori tezlik va xarajatlarni tejashingiz mumkin. Modulli dvigatel: ✅ Mavjud Python kutubxonalari va ekotizimiga mos keladi Python o'zining cheklovlari va C+ + ga qattiq bog'liqligi va uni tezlashtirish uchun uning atrofida qurilgan ekotizim bilan mashhur. Modulli Python- ni taqdim etish orqali ushbu og'riqli nuqtani hal qiladi. C+ + kabi tez va har qanday apparatda ishlaydigan til kabi. 🔥 Bu yilning eng qiziqarli e'lonlaridan biri Qo'shimcha ma'lumot olish uchun modulli veb- saytni tekshiring: https:// www.modular.com/

Assalom alaikum! Instagram orqali post yozishni boshladim, qo'shilish uchun havola

We are HIRING! ML community, in collaboration with educational centers, is launching commercial courses and looking for a machine learning tutor for ML courses. The course is supposed to be for Python developers and complete beginners in the sphere of AI/ML. 🧑‍💻 Responsibilities: - Teaching the fundamentals of machine learning; - Improving methodology of the existing roadmap; - Preparing educational materials (presentations, plans, scenarios). ☝️Requirements: - Solid knowledge of Core Python; - Experience with pandas, NumPy, Matplotlib, scikit-learn; - Knowledge of SQL; - Experience with fundamental machine learning algorithms; - Knowledge of Russian (C1), English (B2); - Willingness to share knowledge; - Ability to learn fast. Would be an advantage: - FastAPI, Docker; - Understanding the basics of deep learning. 💸 Salary conditions: Negotiable. ❗️To apply for a position, please fill out the Google form below. Submission Deadline: April 23 (included) https://forms.gle/SoCymFvR3hZ7k7QE7 P.S. Our team will contact candidates between April 24th and 30th. Good luck!

Yana bir IMKONIYAT🚀 hr@iman.uz

Ajoyib imkoniyat🚀🔥

Institute for Quantum Computing Universiteti tomonidan Quantum Machine Learning mavzusida tashkillashtirilgan juda ham qiziqarli konferensiyada ishtirok etdik. Suhbat, Classic Machine Learning (CML) vs Quantum Machine Learning (QML) mavzusida edi. Shuningdek, olimlar tomonidan Digital Medicine va Machine Intellegence sohalaridagi ilmiy izlanishlar bilan yaqindan tanishdik. Quyida mavzuga doir maqola bilan bo'lishaman

O'zbekistondagi Sun'iy Intellekt va Machine Learning hamjamiyatiga marhamat🔥🚀 Qisqacha tadbir haqida: 📍 Ma'ruzalar. Aynan shu yerda IT-kompaniyalarining yetakchi vakillari AI/ML kompaniyalarning biznes ko‘rsatkichlarini qanday yaxshilagani va avtomatlashtirilgani haqida aytib berishadi. 📝 Amaliy darslar. Ishtirokchilar Data Science va Machine Learning sohalarining texnik qismiga sho'ng'ishlari mumkin 🖇 Ko'rgazma. Kompaniyalar, jamoalar va tashkilotlar o'zlarining AI mahsulotlarini namoyish etadilar, ularni tavsiflaydilar va qanday qilib o'z jamoasining bir qismi bo'lishni aytadilar.

Are You Interested In Artificial Intelligence? Then this is your chance! 💥 AI REWIND2022 is a large-scale annual event summing up the results of the development of AI in Uzbekistan for the year. Heads of leading IT companies in the field of Artificial Intelligence act as speakers at the event, and representatives from Alif Tech, Uzum, Billz, Iman Invest, Uztelecom, Ucell, Mobiuz and other ICT companies will also be among the participants. Exhibitions of AI technologies, lectures, networking - all in one place, only on one day! 🗓 Date: 18/02/2023 ⚡️ Time: from 10:00 to 18:00 📌 Location: New Uzbekistan University 💰 Cost: free of charge Hurry up to register through the bot! 👉 @mlcEventsBot Website | Telegram | Instagram | LinkedIn

Bir yil avval Machine Learning sohasini yanada chuqurroq o'rganish maqsadida Kaggle foydalanuvchilaridan kitob tavsiya qilishlarini so'ragan edik. Deyarli barcha "Hands-on Machine learning with Scikit-Learn, Keras & Tensorflow" eng zo'r kitob, deyishgan edi. Shundan so'ng ishtiyoq bilan uning uchinchi nashrini o'qishni boshladik! Quyida kitobda tavsiya qilingan foydali manbaalar bilan bo'lishmoqchimiz: Aurelian Geron (muallifning You Tube kanali) Andrew NG's ML Course Scikit-Learn's exceptional user Guide Data-Quest Muallifning You Tube kanali

Deep Learning modelingizni o'rgatish uchun qimmat GPU sotib olishni o'ylayapsizmi? Cloud-Based GPUlarini bepul, taklif qiluvchi eng yaxshi 5 ta platforma. Batafsil: https://lnkd.in/dQXP3CCr

Bugun juda qiziqarli ma'ruza darsida bo'ldik, mavzu "Sonlar nazariyasi va uning zamonaviy talqinlari" edi. Suhbat davomida ustoz Ko'paytirish haqida so'z yurutdilar. - Kompyuter takomillashgani sari ko'pgina yangi imkoniyatlar paydo bo'ldi, shu sababli nazariyalarni boshidan qurishga qiziqish kuchaygan: Bilamizki, ikkita butun sonni ko'paytirishni odatiy, maktabda o'rgatilgan, usulidan foydalansak "n" xonali sonlarni ko'paytmasini hisoblash uchun "n^2" ga ekvivalent sonda individual amal bajarishimiz kerak. 1960-yilda yangi algoritm orqali bu ishni "n^1.58" qadamda bajarish mumkinligi isbotlangan. 1971-yilda esa yondashuvni o'zgartirish orqali yanayam yaxshi "n×log(n)×log(log(n))" chegaraga kelishgan. Qanchalik foydasi bor ekanini hamma biladigan usul orqali 2 milliard xonali ikkita butun sonni ko'paytirishga kompyuter 6 oy vaqt sarflasa, eng so'ngisida 26 sekund sarflaydi! Bu chegarani "n×ln(n)" ga olib kelishga yondashuv bor, lekin yakunlanmagan, dedilar!

Izroil davlatiga safarimdan maqsad, Matematika sohasidagi o'qishimni davom ettirish va bilimlarimni yanada mustahkamlash! Hozirda Izroilning Holon Texnologiyalari Institutida Matematika va IT soxalarida o'qiyabman!

Hayotimdagi maqsadlarimdan yana biri amalga oshgani uchun avvalambor Allohimga behisob shukurlar bo'lsin. Uzoq safarga yo'l oldim. Insha'Allah safar manfaatli va foydali bo'lsin. Sizlar bilan ko'rgan va o'rgangan narsalarimni ulashishga astoydil harakat qilaman

🎉ML CLUB jamoasi bepul kursga taklif etadi! Deep Learning, Machine Learning, Data Analytics soxalarini qamrab olgan 3 oylik bepul kursga qo'shiling. Bataafsil: ML Club Community Dastur haqida: Program Deadline: 28. 10. 2022