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๐ฅCheckout Intellipaat's State-of-the-Art Artificial Intelligence Certification Course: https://intellipaat.com/artifi....cial-intelligence-de
#ArtificialIntelligenceFullCourse #ArtificialIntelligenceCourse #AICourse #AIFullCourse #AITutorial #AITutorialForBeginners #intellipaat
Welcome to Intellipaat's Artificial Intelligence Full Course 2024โ an in-depth guide designed for absolute beginners looking to master AI and machine learning! This course covers everything you need to kickstart your journey in AI, from foundational concepts in artificial intelligence and machine learning to hands-on tutorials. Throughout this AI course for beginners, you'll explore different types of machine learning, Artificial Neural Networks, Deep Learning Fundamentals, Keras Library for AI, RNNs, GPU in Deep Learning, etc. to excel in todayโs AI-driven world. Our course is ideal for anyone who wants to learn artificial intelligence from scratch and gain practical knowledge for real-world AI projects.
๐Below are the topics covered in this 'Artificial Intelligence Full Course 2024' video:
00:00:00 - Introduction to Artificial Intelligence Course
00:03:29 - What is Artificial Intelligence
00:07:17 - Why Artificial Intelligence
00:57:05 - Machine Learning Types
01:07:35 - Introduction to Deep Learning
02:45:16 - Benefits of Using Artificial Neural Network
02:50:26 - Deep Learning Frameworks
03:02:57 - Data Handling with NumPy
03:20:28 - Introduction to TensorFlow
05:23:00 - Understanding Epoch
05:50:38 - Introduction to Keras
06:43:35 - Predefined Neural Network Layers
08:43:11 - Problem With a Fully Connected Network
08:52:56 - Convolutional Neural Network
10:13:25 - Rectified Linear Units
10:45:45 - Artificial Intelligence Interview Questions
โ
Is AI hard to study?
Studying AI can be challenging, as it involves complex topics like programming, mathematics (especially statistics and linear algebra), and algorithms. However, with structured learning paths and accessible resources, itโs possible for beginners to grasp these concepts over time. Consistent practice and hands-on projects help make the learning process easier and more practical. Ultimately, while AI may seem difficult, determination and incremental learning make it achievable.
โ
What is an AI course?
An AI course is a structured learning program designed to teach the fundamentals and advanced concepts of artificial intelligence. It typically covers topics like machine learning, neural networks, data analysis, and programming with Python or other languages. Many AI courses include practical projects, giving learners hands-on experience in building AI models. These courses help individuals gain the skills needed for AI-related careers, such as data science or machine learning engineering.
โก๏ธ About the Course
This Artificial Intelligence course, in collaboration with IITM Pravartak, is specially designed to help learners upgrade their skills in artificial intelligence, deep learning, and generative AI.
โก๏ธ Key Features - (Course Features)
๐๐ผ Learn AI from eminent IIT Madras Faculty and top industry experts
๐๐ผ Master & get hands on experience on Deep Learning, Computer Vision, TensorFlow, Neural Networks, Generative AI, etc.
๐๐ผ 2 days campus immersion at IIT Madras Research Park
๐๐ผ 3 Guaranteed interviews upon movement to the placement pool
๐๐ผ Earn the Certification in Data Science & Artificial Intelligence from IITM Pravartak (A Technology Innovation Hub of IIT Madras)
โก๏ธ Whatโs Covered in This Program? -
โ
Programming Essentials For Artificial Intelligence
โ
Data Transformation & Management Using SQL
โ
Data Processing Using Python
โ
Statistical Evidence-Based Analysis
โ
Machine Learning
โ
Foundations of Deep Learning
โ
Introduction to AI
โ
Generative AI Fundamentals
โ
Natural Language Processing
โ
Computer Vision
โ
Reinforcement Learning
โ
AI Capstone Project
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๐ฅ News Footage Credits: BBC News, CNBC Television, NBC News, ABC News, Fox News, Firstpost
๐For more information, please write back to us at sales@intellipaat.com or call us at IND: 7847955955 / USA: 1-800-216-8930
๐ฅ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ข๐ ๐๐๐ญ๐ ๐๐๐๐จ๐จ๐ฉ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐๐จ๐ฎ๐ซ๐ฌ๐ : https://www.edureka.co/big-dat....a-hadoop-training-ce (๐๐ฌ๐ ๐๐จ๐๐: ๐๐๐๐๐๐๐๐๐)
This Edureka Big Data Hadoop Tutorial For Beginners video will help you understand and learn Hadoop concepts in detail. This Big Data Hadoop Tutorial is ideal for both beginners as well as professionals who want to get started with the Hadoop Ecosystem.
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๐ฅ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐๐ ๐๐จ๐ฅ๐ฎ๐ญ๐ข๐จ๐ง ๐๐ซ๐๐ก๐ข๐ญ๐๐๐ญ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐๐จ๐ฎ๐ซ๐ฌ๐: https://www.edureka.co/aws-certification-training (Use code "๐๐๐๐๐๐๐๐๐")
In this Edureka tutorial on AWS Autoscaling and Load balancing, you will learn how to implement Autoscaling and Load Balancing service in AWS practically. Also, we will see how we can divert our traffic to different servers based on their path name.
๐ข๐ข ๐๐จ๐ฉ ๐๐ ๐๐ซ๐๐ง๐๐ข๐ง๐ ๐๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐๐ฌ ๐ญ๐จ ๐๐๐๐ซ๐ง ๐ข๐ง ๐๐๐๐ ๐๐๐ซ๐ข๐๐ฌ ๐ข๐ข
โฉ NEW Top 10 Technologies To Learn In 2024 - https://www.youtube.com/watch?v=vaLXPv0ewHU
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![ะะธะฒะพะฒะธะถะฝะฐ ัะปัะทัั. ะัะบะฝะพ ะะนะผัะฐ [Veritasium]](https://i.ytimg.com/vi/Xnek5QttTSg/maxresdefault.jpg)
ะัะบะฝะพ ะะนะผัะฐ โ ัะต ะทะพะฑัะฐะถะตะฝะฝั, ะฝะฐะฟัะธะบะปะฐะด, ะฝะฐ ะฟะปะฐัะบะพะผั ัะผะฐัะบั ะบะฐััะพะฝั, ัะบะต ะทะดะฐััััั ะฟััะผะพะบััะฝะธะผ ะฒัะบะฝะพะผ, ะฐะปะต ะฝะฐัะฟัะฐะฒะดั ั ััะฐะฟะตัััั. ะะฑะธะดะฒั ััะพัะพะฝะธ ัะผะฐัะบะฐ ะบะฐััะพะฝั ะผะฐััั ะพะดะฝะฐะบะพะฒะต ะทะพะฑัะฐะถะตะฝะฝั. ะะฐััะพะฝ ะฟัะดะฒััะตะฝะธะน ะฒะตััะธะบะฐะปัะฝะพ ะฝะฐ ะดัะพัั, ัะพะฑ ะฒัะฝ ะผัะณ ะฑะตะทะฟะตัะตัะฒะฝะพ ะพะฑะตััะฐัะธัั, ะฐะฑะพ ะฟัะธะบััะฟะปะตะฝะธะน ะดะพ ะฒะตััะธะบะฐะปัะฝะพั ะพัั, ะฝะฐะฒะบะพะปะพ ัะบะพั ะฝะตะฟะตัะตัะฒะฝะพ ะพะฑะตััะฐััััั.
ะัะด ัะฐั ะพะฑะตััะฐะฝะฝั ะฒัะบะฝะฐ ะทะดะฐััััั, ัะพ ะพะฑะตััะฐะฝะฝั ะฝะฐ ะผะธัั ะทัะฟะธะฝัััััั ัะฐ ะทะผัะฝัั ะฝะฐะฟััะผะพะบ ะฝะฐ ะฟัะพัะธะปะตะถะฝะธะน. ะขะพะผั ะฒะพะฝะพ ะฝะต ัะฟัะธะนะผะฐััััั ัะบ ะฑะตะทะฟะตัะตัะฒะฝะต ะพะฑะตััะฐะฝะฝั ะฒ ะพะดะฝะพะผั ะฝะฐะฟััะผะบั, ะฐ ะฝะฐัะพะผัััั ัะฟัะธะนะผะฐััััั ัะบ ะบะพะปะธะฒะฐะฝะฝั.
ะัะผะฝะฐัะฐ ะะนะผัะฐ โ ะฟัะธะผััะตะฝะฝั ะฝะตะฟัะฐะฒะธะปัะฝะพั ัะพัะผะธ, ัะพ ะฒะธะบะพัะธััะพะฒัััััั ะดะปั ััะฒะพัะตะฝะฝั ััะธะฒะธะผััะฝะพั ะพะฟัะธัะฝะพั ัะปัะทัั. ะัะปะฐ ัะฟัะพัะบัะพะฒะฐะฝะฐ ะฐะผะตัะธะบะฐะฝััะบะธะผ ะพััะฐะปัะผะพะปะพะณะพะผ ะะปัะฑะตััะพะผ ะะนะผัะพะผ ะฒ 1934 ัะพัั ะน ะฟะพะฑัะดะพะฒะฐะฝะฐ ะฒ 1935 ัะพัั.
ะัะผะฝะฐัะฐ ะะนะผัะฐ ะฟะพะฑัะดะพะฒะฐะฝะฐ ัะฐะบ, ัะพ ัะฟะตัะตะดั ะฒะพะฝะฐ ะฒะธะณะปัะดะฐั ัะบ ะทะฒะธัะฐะนะฝะฐ ะบัะผะฝะฐัะฐ ะบัะฑััะฝะพั ัะพัะผะธ ัะท ะทะฐะดะฝัะพั ัััะฝะบะพั ัะฐ ะดะฒะพะผะฐ ะฑะพะบะพะฒะธะผะธ ัััะฝะฐะผะธ, ะฟะฐัะฐะปะตะปัะฝะธะผะธ ะพะดะฝะฐ ะพะดะฝัะน ั ะฟะตัะฟะตะฝะดะธะบัะปััะฝะธะผะธ ะดะพ ะณะพัะธะทะพะฝัะฐะปัะฝะธั
ะฟะปะพัะธะฝ ะฟัะดะปะพะณะธ ั ััะตะปั. ะัะพัะต ะดัะนัะฝะฐ ัะพัะผะฐ ะบัะผะฝะฐัะธ ััะฐะฟะตัััะฟะพะดัะฑะฝะฐ. [Wikipedia]
โ
ะขะตะบัั ัะธัะฐะฒ: ะะฝะดััะน ะะพัะฑัะฝะพะฒ (Lacuna)
โ
ะะตัะตะบะปะฐะด, ัะตะดะฐะณัะฒะฐะฝะฝั, ััะฑัะธัััะฒะฐะฝะฝั: ะฟัะพัะบั ัะฐะผะพะพัะฒััะธ pre post, ะััะฐะปัะน ะจะตะฒััะบ (ะฆัะบะฐะฒะฐ ะฝะฐัะบะฐ)
โะัะดััะธะผะฐะนัะต "ะฆัะบะฐะฒั ะฝะฐัะบั" ะฝะฐ https://www.patreon.com/join/CikavaNauka ะฐะฑะพ
๐ณ ะัะธะฒะฐัะฑะฐะฝะบ: 5168 7451 0521 3422
๐ณ ะะพะฝะพะฑะฐะฝะบ: 4441 1144 2309 4109 (ะััะฐะปัะน ะจะตะฒััะบ)
ยฉ ะัะธะณัะฝะฐะปัะฝะต ะฒัะดะตะพ: https://www.youtube.com/watch?v=dBap_Lp-0oc
ยฉ ะะฐะฝะฐะป Veritasium: https://www.youtube.com/c/veritasium (ะท ะปัะฑโัะทะฝะพะณะพ ะดะพะทะฒะพะปั ะฐะฒัะพัะฐ)
ยฉ Researched and written by Petr Lebedev and Derek Muller
Filmed by Derek Muller and Raquel Nuno
Animations, VFX, and Music by Jonny Hyman
Ames Room VFX and additional Ames Window animation by Nicolas Pratt
ยฉ Derek Muller
#SciTube #ะฆัะบะฐะฒะฐะะฐัะบะฐ #WatchUA
References:
Ames, A., Jr. (1951). Visual perception and the rotating trapezoidal window. Psychological Monographs: General and Applied, 65(7), iโ32. https://doi.org/10.1037/h0093600
Marcel de Heer & Thomas V. Papathomas (2017) The Ames Window Illusion and Its Variations
DOI:10.1093/acprof:oso/9780199794607.003.0014
Oross, Stephen, Francis, Ellie, Mauk, Deborah & Fox, Robert. (1987). The Ames Window Illusion: Perception of Illusory Motion by Human Infants. Journal of Experimental Psychology: Human Perception & Performance, 13(4), 609-613.
Behrens, R. (1987). The Life and Unusual Ideas of Adelbert Ames, Jr. Leonardo, 20(3), 273-279. doi:10.2307/1578173
Burnham, C., & Ono, H. (1969). Variables Altering Perception of the Rotating Trapezoidal Illusion. The American Journal of Psychology, 82(1), 86-95. doi:10.2307/1420609
Allport, G. W., & Pettigrew, T. F. (1957). Cultural influence on the perception of movement: The trapezoidal illusion among Zulus. The Journal of Abnormal and Social Psychology, 55(1), 104โ113. https://doi.org/10.1037/h0049372
Zenhausern R. Effect of Perspective on Two Trapezoid Illusions. Perceptual and Motor Skills. 1969;28(3):1003-1009. doi:10.2466/pms.1969.28.3.1003
![ะญัะพ ะฐะฝัะธะณัะฐะฒะธัะฐัะธั? #1 ะะฐะดะฐัะฐ [Veritasium]](https://i.ytimg.com/vi/UCsqV-d_joA/maxresdefault.jpg)
ะะพะผะพัั ะฟัะพะตะบัั: https://vertdider.tv/to-support-us/
ะะพะถะฝะพ ะปะธ ะพะดะฝะพะน ััะบะพะน ะฟะพะดะฝััั ะฝะฐะด ะณะพะปะพะฒะพะน ะณัะธั ั ะดะธัะบะพะผ ะฒะตัะพะผ 20 ะบะณ ะฝะฐ ะบะพะฝัะต? ะัะปะธ ะฒั ะฝะตะฒะตัะพััะฝะพ ัะธะปัะฝัะน, ัะพ ะผะพะถะฝะพ. ะ ะตัะปะธ ะฒั ะะตัะตะบ ะะฐะปะปะตั, ัะพ ััะพั ะดะธัะบ ะฟัะธะดะตััั ัะฝะฐัะฐะปะฐ ะพัะตะฝั ะฑััััะพ ัะฐัะบัััะธัั.
ะัะฒะตั: https://youtu.be/FasivFKE0Tc
ะะธัะพัะบะพะฟะธัะตัะบะฐั ะฟัะตัะตััะธั: https://youtu.be/uMQ85tOPSO4
ะะตัะตะฒะพะด: ะะปะตะบัะตะน ะะพัะบััะพะฒ
ะ ะตะดะฐะบัััะฐ: ะะปะตะบัะตะน ะะฐะปะพะฒ
ะะฐััะฝะฐั ัะตะดะฐะบัััะฐ: ะะตะพะฝะธะด ะะพะบะธะฝ
ะะทะฒััะบะฐ: ะะผะธััะธะน ะงะตะฟััะพะฒ, ะฎัะธะน ะะฐัะฐัะผะฐะฝะพะฒ
ะะพะฝัะฐะถ ะทะฒัะบะฐ: ะะฝะดัะตะน ะคะพะบะธะฝ
ะะพะฝัะฐะถ ะฒะธะดะตะพ: ะะถะพะฝ ะัะผะฐะธะปะพะฒ
ะะฑะปะพะถะบะฐ: ะะฝะดัะตะน ะะฐะฒัะธะบะพะฒ
ะกะฟะฐัะธะฑะพ ะทะฐ ะฟะพะดะดะตัะถะบั ะฝะฐ https://www.patreon.com/VertDider.
ะะทะฒััะบะธ Vert Dider ะฒัั
ะพะดัั ั ะฒะฐัะตะน ะฟะพะผะพััั:
Pavel Dunaev, Nick Denizhenko, Oleksii, Yegor Barakovskiy, mrwiseguy351, ะะณะพั ะะพัะพั
ะพะฒ, Mikhail Stolpovskiy, Aleksandr, Maxim Syunikov, Oleg Zingilevskiy, Serega Beltser, Rashid Nasibulin, opperatius, Dina Kruchina, Alena, Vitaliy Vachynyuk, ะะธะบะฐ ะะฐะปะผัะบะพะฒะฐ, Nadia Kilgishova, ะ ะพะผะฐะฝ ะงััะธะฝ, Aiorraro, ะะฒะณะตะฝะธะน ะกะตะปัะผะตะฝะตะฒ, Alex Afalex, Anton Kudashov, Sergii Cherepanov, ะะปะฐะดะธะผะธั ะะฐัััะธะฝ, Pavel Parpura, Anton Bolotov, Yevhen, Sergei W, Kosoy, ะะฐะฝะธะป ะ ัะณัะทะพะฒ, ะะธั
ะฐะธะป ะะฐะฝัะบะธะฝ, Anton Makiievskyi, ะะฐะบัะธะผ 'Sheridan' ะะพัะปะพะฒ, Katoto Chan, F23D24, Alexey, ะะฐัะธะฝะฐ ะะฐะปะธะฝะบะธะฝะฐ, Dmitry Khlan, ะะฐะปะธะฝะฐ ะะฐัะธะฝะพะฒะฐ, Yaroslav Kyrylchuk, ะะพะทะฝะฐััะธะน, ะัะธะฝะฐ ะะฝะฐัะพะปัะตะฒะฝะฐ ะงัะปะบะพะฒะฐ, kotov.pr, Pavel Golovin, Stanislav K, Edward Ben Rafael, ะฎัะธะน ะะตะดะฒะตะดะตะฒ, ะะฝะฝะฐ ะขัะพััะผะฐะฝ, Serj Skidan, Andrei Chitaev, L Marchenko, Sultan Ishankulov, Dim iONkinberg, Mike Sviblov, Andrey Rusanov, Inna Klymenko, Dima Chumakov, Dmitriy Lashtaba, Olesya Bolobova, Ilya Alexeevsky, Alexander Balynskiy, ะะฐะบัะธะผ ะะฒะฐะฝะพะฒ, ะะปัะณะฐ ะะฐะฝะบัะปะพะฒะฐ, Alexander, Viktor Lova, Maria Tronina, Alexander Gorodok, Ivan Iakimov, Alexander Zimin, ะะฒะณะตะฝะธะน ะะธั, ะะธัะฐะปะธะน ะะฐััััะตะฝะบะพ, Serj Kravchuk, Claudia Barzaeva, Pandaben, Monza UA, Lirin Alex, Pavel D, Dan Sotnikov, Konstantin Pesyakov, Denis Titusov, Viktoria, Alexandr Globov, Oleg Streltsov, Olga Podolskaya, Alexey Kukushkin, ะัะณะฐััะฒ ะััั, Olga Shistareva, Kamerton_440, Alex Katkov, Irina Shakhverdova, Vladimir Grachev, Dmitriy Omelyansky, Aleksey Sazonov, Vladimir Goshev, Vladyslav Sokolenko, Anton Novozhenin, Spartak Kagramanyan, Evgeny Vrublevsky, Ihar Marozau, ะะปะตะบัะฐะฝะดั ะคะฐะปะฐะปะตะตะฒ
ะกะฐะนั ัััะดะธะธ: http://vertdider.tv
ะั ะฒ ัะพัะธะฐะปัะฝัั
ัะตััั
:
โ http://vk.com/studio_vd
โ https://t.me/vertdider
โ https://twitter.com/Vert_Dider
โ http://coub.com/vertdider
ะ ะฐะทัะตัะตะฝะธะต ะฝะฐ ะฟัะฑะปะธะบะฐัะธั: https://bit.ly/2SFhrHZ
ยฉ https://www.youtube.com/user/1veritasium
ะััะพัะฝะธะบ: https://youtu.be/GeyDf4ooPdo
๐ด ๐๐๐๐ซ๐ง ๐๐ซ๐๐ง๐๐ข๐ง๐ ๐๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐๐ฌ ๐
๐จ๐ซ ๐
๐ซ๐๐! ๐๐ฎ๐๐ฌ๐๐ซ๐ข๐๐ ๐ญ๐จ ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐จ๐ฎ๐๐ฎ๐๐ ๐๐ก๐๐ง๐ง๐๐ฅ: https://2ly.link/1w69F
In this video, let's learn about a very important CI/CD tool, i.e., Jenkins. This video demonstrates the installation of Jenkins in Windows, building a CI/CD pipeline in Jenkins using GitHub, and configuring email notifications. This video is the perfect starting point to understand the importance of Jenkins. Join us as we unravel the functionalities of Jenkins!
๐ข๐ข ๐๐จ๐ฉ ๐๐ ๐๐ซ๐๐ง๐๐ข๐ง๐ ๐๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐๐ฌ ๐ญ๐จ ๐๐๐๐ซ๐ง ๐ข๐ง ๐๐๐๐ ๐๐๐ซ๐ข๐๐ฌ ๐ข๐ข
โฉ NEW Top 10 Technologies To Learn In 2024 - https://www.youtube.com/watch?v=vaLXPv0ewHU
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Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: +18338555775 (toll-free) for more information.
Learn how to fine tuning LLM models. This course will teach you fine tuning using using QLORA and LORA, as well as Quantization using LLama2, Gradient and the Google Gemma model. This crash course includes both theoretical and practical instruction to help you understand how to perform fine tuning.
๐ป Code: https://github.com/krishnaik06/Finetuning-LLM
โ๏ธ Course developed by @krishnaik06
โจ๏ธ (0:00:00) Introduction
โจ๏ธ (0:01:39) Quantization Intuition
โจ๏ธ (0:34:03) Lora And QLORA Indepth Intuition
โจ๏ธ (0:56:26) Finetuning With LLama2
โจ๏ธ (1:20:35) 1 bit LLM Indepth Intuition
โจ๏ธ (1:37:33) Finetuning with Google Gemma Models
โจ๏ธ (1:59:45) Building LLm Pipelines With No code
โจ๏ธ (2:20:33) Fine tuning With Own Custom Data
๐ Thanks to our Champion and Sponsor supporters:
๐พ davthecoder
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๐พ ๅๅฎฎๅๅฝฑ
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๐พ Nattira Maneerat
๐พ Heather Wcislo
๐พ Serhiy Kalinets
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๐พ Oscar Rahnama
--
Learn to code for free and get a developer job: https://www.freecodecamp.org
Read hundreds of articles on programming: https://freecodecamp.org/news
๐ฅMachine Learning Training with Python: https://www.edureka.co/machine....-learning-certificat
This Edureka video on "Deploy an ML Model using Amazon Sagemaker" discusses what is Amazon Sagemaker and how you can build, train and deploy your Machine Learning Models in Amazon Sagemaker.
๐นCheck Edureka's complete DevOps playlist here: http://goo.gl/O2vo13
๐นCheck Edureka's Blog playlist here: https://bit.ly/3gfNuZr
--------------------------------------------------------------------------------------------
๐ดSubscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV
---------------------------------------Edureka Post Graduate Courses-------------------------------------------
๐ต Artificial and Machine Learning PGD: https://bit.ly/3AylL0q
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Castbox: https://castbox.fm/networks/505?country=in
Meetup: https://www.meetup.com/edureka/
#Edureka #DeployAnMlModelUsingAmazonSagemaker #AWSTutorial #AWSCertification #AWSTraining #AWSMachineLearning #AWSMLDeployment #MachineLearningOnCloud #CloudComputing #AWS
--------------------------------------------------------------------------------------------
How it Works?
1. This is a 5 Week Instructor led Online Course.
2. Course consists of 30 hours of online classes, 30 hours of assignment, 20 hours of project
3. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
4. You will get Lifetime Access to the recordings in the LMS.
5. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate!
- - - - - - - - - - - - - -
About the Course
AWS Architect Certification Training from Edureka is designed to provide in depth knowledge about Amazon AWS architectural principles and its components. The sessions will be conducted by Industry practitioners who will train you to leverage AWS services to make the AWS cloud infrastructure scalable, reliable, and highly available. This course is completely aligned to AWS Architect Certification - Associate Level exam conducted by Amazon Web Services.
During this AWS Architect Online training, you'll learn:
1. AWS Architecture and different models of Cloud Computing
2. Compute Services: Amazon EC2, Auto Scaling and Load Balancing, AWS Lambda, Elastic Beanstalk
3. Amazon Storage Services : EBS, S3 AWS, Glacier, CloudFront, Snowball, Storage Gateway
4. Database Services: RDS, DynamoDB, ElastiCache, RedShift
5. Security and Identity Services: IAM, KMS
6. Networking Services: Amazon VPC, Route 53, Direct Connect
7. Management Tools: CloudTrail, CloudWatch, CloudFormation, OpsWorks, Trusty Advisor
8. Application Services: SES, SNS, SQS
Course Objectives
On completion of the AWS Architect Certification training, learner will be able to:
1. Design and deploy scalable, highly available, and fault tolerant systems on AWS
2. Understand lift and shift of an existing on-premises application to AWS
3. Ingress and egress of data to and from AWS
4. Identifying appropriate use of AWS architectural best practices
5. Estimating AWS costs and identifying cost control mechanisms
Pre-requisites
There are no specific prerequisites for this course. Any professional who has an understanding of IT Service Management can join this training. There is no programming knowledge needed and no prior AWS experience required.
If you are looking for live online training, write back to us at sales@edureka.in or call us at US: + 18338555775 (Toll-Free) or India: +91 9606058406 for more information.
๐ฅMachine Learning Training with Python: https://www.edureka.co/machine....-learning-certificat
This Edureka video on "Deploy an ML Model using Amazon Sagemaker" discusses what is Amazon Sagemaker and how you can build, train and deploy your Machine Learning Models in Amazon Sagemaker.
๐นCheck Edureka's complete DevOps playlist here: http://goo.gl/O2vo13
๐นCheck Edureka's Blog playlist here: https://bit.ly/3gfNuZr
--------------------------------------------------------------------------------------------
๐ดSubscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV
---------------------------------------Edureka Post Graduate Courses-------------------------------------------
๐ต Artificial and Machine Learning PGD: https://bit.ly/3AylL0q
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LinkedIn: https://www.linkedin.com/company/edureka
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
SlideShare: https://www.slideshare.net/EdurekaIN
Castbox: https://castbox.fm/networks/505?country=in
Meetup: https://www.meetup.com/edureka/
#Edureka #DeployAnMlModelUsingAmazonSagemaker #AWSTutorial #AWSCertification #AWSTraining #AWSMachineLearning #AWSMLDeployment #MachineLearningOnCloud #CloudComputing #AWS
--------------------------------------------------------------------------------------------
How it Works?
1. This is a 5 Week Instructor led Online Course.
2. Course consists of 30 hours of online classes, 30 hours of assignment, 20 hours of project
3. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
4. You will get Lifetime Access to the recordings in the LMS.
5. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate!
- - - - - - - - - - - - - -
About the Course
AWS Architect Certification Training from Edureka is designed to provide in depth knowledge about Amazon AWS architectural principles and its components. The sessions will be conducted by Industry practitioners who will train you to leverage AWS services to make the AWS cloud infrastructure scalable, reliable, and highly available. This course is completely aligned to AWS Architect Certification - Associate Level exam conducted by Amazon Web Services.
During this AWS Architect Online training, you'll learn:
1. AWS Architecture and different models of Cloud Computing
2. Compute Services: Amazon EC2, Auto Scaling and Load Balancing, AWS Lambda, Elastic Beanstalk
3. Amazon Storage Services : EBS, S3 AWS, Glacier, CloudFront, Snowball, Storage Gateway
4. Database Services: RDS, DynamoDB, ElastiCache, RedShift
5. Security and Identity Services: IAM, KMS
6. Networking Services: Amazon VPC, Route 53, Direct Connect
7. Management Tools: CloudTrail, CloudWatch, CloudFormation, OpsWorks, Trusty Advisor
8. Application Services: SES, SNS, SQS
Course Objectives
On completion of the AWS Architect Certification training, learner will be able to:
1. Design and deploy scalable, highly available, and fault tolerant systems on AWS
2. Understand lift and shift of an existing on-premises application to AWS
3. Ingress and egress of data to and from AWS
4. Identifying appropriate use of AWS architectural best practices
5. Estimating AWS costs and identifying cost control mechanisms
Pre-requisites
There are no specific prerequisites for this course. Any professional who has an understanding of IT Service Management can join this training. There is no programming knowledge needed and no prior AWS experience required.
If you are looking for live online training, write back to us at sales@edureka.in or call us at US: + 18338555775 (Toll-Free) or India: +91 9606058406 for more information.
How to become a Data Engineer? | Complete Roadmap to become a Data Engineer| Data Engineer | Edureka
๐ฅFor ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐๐ญ๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ข๐ง๐ ๐๐จ๐ฎ๐ซ๐ฌ๐ Visit: https://www.edureka.co/big-dat....a-hadoop-training-ce
Use code "๐๐๐๐๐๐๐๐๐" to get ๐
๐ฅ๐๐ญ ๐๐% off on any training.
This Edureka video "๐๐จ๐ฐ ๐ญ๐จ ๐๐๐๐จ๐ฆ๐ ๐ ๐๐๐ญ๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ" will guide you through the steps to learn and have a successful career in Data Engineering. This video will help you to become a Data Engineer in 2024.
๐ข๐ข ๐๐จ๐ฉ ๐๐ ๐๐ซ๐๐ง๐๐ข๐ง๐ ๐๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐๐ฌ ๐ญ๐จ ๐๐๐๐ซ๐ง ๐ข๐ง ๐๐๐๐ ๐๐๐ซ๐ข๐๐ฌ ๐ข๐ข
โฉ NEW Top 10 Technologies To Learn In 2024 - https://www.youtube.com/watch?v=vaLXPv0ewHU
๐ด Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV
๐ด ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ง๐ฅ๐ข๐ง๐ ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐๐ง๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง๐ฌ
๐ต DevOps Online Training: http://bit.ly/3VkBRUT
๐ AWS Online Training: http://bit.ly/3ADYwDY
๐ต React Online Training: http://bit.ly/3Vc4yDw
๐ Tableau Online Training: http://bit.ly/3guTe6J
๐ต Power BI Online Training: http://bit.ly/3VntjMY
๐ Selenium Online Training: http://bit.ly/3EVDtis
๐ต PMP Online Training: http://bit.ly/3XugO44
๐ Salesforce Online Training: http://bit.ly/3OsAXDH
๐ต Cybersecurity Online Training: http://bit.ly/3tXgw8t
๐ Java Online Training: http://bit.ly/3tRxghg
๐ต Big Data Online Training: http://bit.ly/3EvUqP5
๐ RPA Online Training: http://bit.ly/3GFHKYB
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๐ฅProduct Management Professional Program: https://www.simplilearn.com/product-management-training-course-online?utm_campaign=66r0T7PGPSA&utm_medium=DescriptionFirstFold&utm_source=youtube
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This video on Product Management Full Course by Simplilearn will help you learn the basics of product management. This Product Management Full Course is a guide to learnignproduct management. It begins with an introduction to product management, covering the role and key responsibilities of a product manager. The course delves into essential skills, the product management roadmap, and strategies to achieve product-market fit. Youโll learn advanced topics like market research, creating user personas, MVP development, and prioritization techniques. The course also explains Agile principles, go-to-market strategies, and the differences between a product manager and a product owner. It concludes with tools, KPIs, and interview preparation tips, equipping you with everything needed to excel in a product management career.
Following are the topics covered in this Product management Full Course:
00:00:00 Introduction to Product Management Full Course
00:11:35 What is Product Management
00:11:52 What does a product manager do?
00:19:09 Product Management Skills
00:39:42 Product Management Roadmap
00:49:26 What is product market fit
01:04:45 Product sense mock interview
01:24:20 Product Manager Vs Project Manager
01:31:01 product Backlog
01:34:46 Certification in product Manager
01:43:24 PM Roles and responsibilities
02:07:37 Top 10 PM Tools
02:10:43 Certified Scrum Product Certification
02:43:36 Product Manager KPI Techniques
03:06:10 Product Manager Vs Product owner
03:15:31 Agile Principles
03:16:56 Go-T0 Market Strategy Framework
03:34:50 What is Market Research
03:35:50 How to create user persona
03:59:45 What is MVP
04:01:56 Prioritization Techniques
04:35:21 What is Scrum ?
04:37:06 Product Lifecycle Management
โ
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#ProductManagementFullCourse #productmanagement #productmanager #simplilearn #2024
โก๏ธAbout Professional Certification In Product Management
Professional Product Management Course by SP Jain School of Global Management prepares you to become a product manager via an exhaustive curriculum covering all aspects of product management. This program focuses on the latest industry trends, advancements and related industry applications taught by top product experts via live sessions.
Key Features
โ
Certificate from SP Jain School of Global Management
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Live sessions by SP Jain top global faculties
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Get access to SPJ Exec Ed Alumni benefits post program completion
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Leverage Generative AI as a Product Manager using tools such as ChatGPT, Google Bard, Gencraft, Midjourney, & Picsart
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Product management masterclass by industry experts from companies like Google, Facebook, Amazon, Microsoft and more
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Hands-on learning experience by solving real-life product problems via projects on Facebook, Tesla, Instagram, Netflix & Nike
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Product manager toolkit trainingโ
JIRA, Mixpanel, Google Analytics & Balsamiq
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Hands-on learning via case studies and assignments
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Simplilearn's JobAssist helps you get noticed by top hiring companies
Skills Covered
โ
Product Strategy
โ
Product Market fit
โ
Product Ideation
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Rapid Prototyping
โ
Product Lifecycle Management
Learning Path
โ
UCSD PM: Induction Session for Product Management Program
โ
UCSD PM: Essentials - Introduction to Product Management
โ
UCSD PM: Essentials - Building Key Assets That Drive Product
โ
UCSD PM: Essentials - Building a Product Strategy
โ
UCSD PM: Essentials - Product Planning
โ
UCSD PM: Essentials - Working with Other Teams
โ
UCSD PM: Essentials - Hypothesis Validation
โ
UCSD PM: Essentials - Agile Development Process
โ
UCSD PM: Essentials - Building Prototypes
โ
UCSD PM: Essentials - Product Analytics
โ
UCSD PM: Essentials - Business Fundamentals
โ
UCSD PM: Essentials - Portfolio Assessment
โ
UCSD PM: User Experience Research for Product Managers
โ
UCSD PM: Product Design for Product Managers
โ
UCSD PM: Product Marketing for Product Managers
โ
UCSD PM: Introduction to Software Development Basics for Product Managers
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UCSD PM: Product Management Tools
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UCSD PM: Product Management Capstone Project
Electives:
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Masterclass by UC San Diego Division of Extended Studies
โ
UCSD PM: Product Management Masterclass by Industry Expertst
๐ฅLearn More about Product Management Professional Program: https://www.simplilearn.com/product-management-training-course-online?utm_campaign=66r0T7PGPSA&utm_medium=Description&utm_source=youtube
Learn LaTeX in this full course for beginners. LaTeX is a typesetting system for creating professional-looking documents, commonly used in academia and scientific publishing, with a focus on content rather than appearance.
โ๏ธ Michelle Krummel created this course. Check out her channel: https://www.youtube.com/michellekrummel
๐ป Downloadable .tex files: https://www.dropbox.com/sh/lbr....coezrm7iskfk/AABpWmd
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Overleaf: https://www.overleaf.com/?r=b4398ca7&rm=d&rs=b
TexMaker: https://www.xm1math.net/texmaker/
โจ๏ธ (0:00:00) Creating a LaTeX Document
โจ๏ธ (0:34:34) Common Mathematical Notation
โจ๏ธ (1:09:56) Brackets, Tables, and Arrays
โจ๏ธ (1:51:36) Creating Lists
โจ๏ธ (2:03:29) Text Document Formatting
โจ๏ธ (2:25:58) Packages, Macros, and Graphics
โจ๏ธ (2:56:17) Errors and Debugging
โจ๏ธ (3:18:47) TeXmaker and Overleaf Tips
โจ๏ธ (3:59:38) Calculus Notation
๐ Thanks to our Champion and Sponsor supporters:
๐พ Nattira Maneerat
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๐ฅ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ข๐ ๐ข๐ญ๐๐ฅ ๐๐๐ซ๐ค๐๐ญ๐ข๐ง๐ ๐๐จ๐ฎ๐ซ๐ฌ๐ : https://www.edureka.co/digital-marketing (๐๐ฌ๐ ๐๐จ๐๐: ๐๐๐๐๐๐๐๐๐)
This Edureka "Digital Marketing Career" video will help be your guide to build a career in Digital Marketing.
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๐ฅ Become A Data Scientist Today: https://taplink.cc/simplilearn_data_science
Data Science Course 2023 by simplilearn is dedicated to help aspiring data scientists with Data Science Full Course for Beginners 2023 that covers the major technical and theorotical data science concepts along side practical demonstrations to get a good learning experience. This Simplilearn video covers the following:
00:00:00 Data Science In 5 Minutes
00:04:14 Data Science Roadmap 2023
00:11:51 Data Science Life Cycle
00:28:53 Top 10 Data Science Certifications for 2022
00:40:40 Data Science Tutorial
01:22:35 AI vs ML vs DL vs Data Science - Difference Explained
01:28:46 Data Science With Python
02:21:50 Top 5 Python Libraries For Data Science
02:36:56 R Programming For Beginners
02:52:07 Statistics For Data Science
03:11:58 Probability Density Function With Example
03:35:49 Data Visualization In R
04:08:52 Population And Sample In Statistics Example
04:15:48 Types Of Distribution In Statistics
04:39:52 Mean Squared Error
04:44:40 Machine Learning Algorithms
05:54:10 Skewness And Kurtosis And Moments
05:59:18 Random Forest Algorithm - Random Forest Explained
06:43:20 Naive Bayes Classifier
07:24:45 Support Vector Machine - How Support Vector Machine Works
07:50:13 Bayes Theorem
07:54:59 What Is Anova?
08:02:27 What Is Correlation?
08:05:43 Types of Correlation
08:09:41 Correlation vs Regression
08:16:27 Data Science Interview Questions
โ
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โก๏ธ About Caltech Post Graduate Program In Data Science
This Post Graduation in Data Science leverages the superiority of Caltech's academic eminence. The Data Science program covers critical Data Science topics like Python programming, R programming, Machine Learning, Deep Learning, and Data Visualization tools through an interactive learning model with live sessions by global practitioners and practical labs.
โ
Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Caltech PG program in Data Science completion certificate
- Earn up to 14 CEUs from Caltech CTME
- Masterclasses delivered by distinguished Caltech faculty and IBM experts
- Caltech CTME Circle membership
- Online convocation by Caltech CTME Program Director
- IBM certificates for IBM courses
- Access to hackathons and Ask Me Anything sessions from IBM
- 25+ hands-on projects from the likes of Amazon, Walmart, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
- Simplilearnโs Career Assistance to help you get noticed by top hiring companies
- 8X higher interaction in live online classes by industry experts
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Skills Covered
- Exploratory Data Analysis
- Descriptive Statistics
- Inferential Statistics
- Model Building and Fine Tuning
- Supervised and Unsupervised Learning
- Ensemble Learning
- Deep Learning
- Data Visualization
๐ Learn More At: https://www.simplilearn.com/post-graduate-program-data-science?utm_campaign=13October2023DataScienceCourse2023&utm_medium=Description&utm_source=youtube
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โโโ
Huge thanks to the Australian Reptile Park for having us over to film โ special thanks to Jake Meney for showing us the spiders and Caitlin Vine for organizing the shoot. https://www.reptilepark.com.au
Huge thanks to Dr Timothy Jackson with his help and answering our questions.
Thanks to Seqirus Australia for providing B-roll footage of the antivenom production process.
โโโ
References:
Pineda, S. S., Sollod, B. L., Wilson, D., Darling, A., Sunagar, K., Undheim, E. A., ... & King, G. F. (2014). Diversification of a single ancestral gene into a successful toxin superfamily in highly venomous Australian funnel-web spiders. BMC genomics, 15(1), 1-16 - https://ve42.co/Pineda2014
Isbister, G. K., Gray, M. R., Balit, C. R., Raven, R. J., Stokes, B. J., Porges, K., ... & Fisher, M. M. (2005). Funnel-web spider bite: a systematic review of recorded clinical cases. Medical journal of Australia, 182(8), 407-411 - https://ve42.co/Isbister2005
Herzig, V., Sunagar, K., Wilson, D. T., Pineda, S. S., Israel, M. R., Dutertre, S., ... & Fry, B. G. (2020). Australian funnel-web spiders evolved human-lethal ฮด-hexatoxins for defense against vertebrate predators. Proceedings of the National Academy of Sciences, 117(40), 24920-24928 - https://ve42.co/Herzig2020
Nicholson, G. M., & Graudins, A. (2002). Spiders of medical importance in the AsiaโPacific: Atracotoxin, latrotoxin and related spider neurotoxins. Clinical and experimental pharmacology and physiology, 29(9), 785-794 - https://ve42.co/Nicholson2002
Fletcher, J. I., Chapman, B. E., Mackay, J. P., Howden, M. E., & King, G. F. (1997). The structure of versutoxin (ฮด-atracotoxin-Hv1) provides insights into the binding of site 3 neurotoxins to the voltage-gated sodium channel. Structure, 5(11), 1525-1535 - https://ve42.co/Fletcher1997
Australian Reptile Park. (2022). Snake and Spider First Aid - https://ve42.co/ARPFirstAid
The Australian Museum. (20 ). Spider facts - https://ve42.co/SpiderFacts
โโโ
Special thanks to our Patreon supporters:
Orlando Bassotto, Tj Steyn, meg noah, Bernard McGee, KeyWestr, Amadeo Bee, TTST, Balkrishna Heroor, John H. Austin, Jr., john kiehl, Anton Ragin, Benedikt Heinen, Diffbot, Gnare, Dave Kircher, Burt Humburg, Blake Byers, Evgeny Skvortsov, Meekay, Bill Linder, Paul Peijzel, Josh Hibschman, Mac Malkawi, Juan Benet, Ubiquity Ventures, Richard Sundvall, Lee Redden, Stephen Wilcox, Marinus Kuivenhoven, Michael Krugman, and Sam Lutfi
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Written by Katie Barnshaw & Derek Muller
Edited by Trenton Oliver
Filmed by Petr Lebedev, Derek Muller and Jason Tran
Animation by Ivy Tello, Jakub Misiek and Fabio Albertelli
Neuron animation by Reciprocal Space โ https://www.reciprocal.space
Additional video/photos supplied from Getty Images, Pond5
B-roll supplied by Seqirus Australia
Music from Epidemic Sound
Produced by Derek Muller, Petr Lebedev, Emily Zhang & Katie Barnshaw
๐ฅAI/ML Course for 3-8 Yrs Work Exp: https://l.linklyhq.com/l/1tx6v
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This Deep Learning tutorial will help you in understanding what is Deep learning, why do we need Deep learning, applications of Deep Learning along with a detailed explanation on Neural Networks and how these Neural Networks work. Deep learning is inspired by the integral function of the human brain specific to artificial neural networks. These networks, which represent the decision-making process of the brain, use complex algorithms that process data in a non-linear way, learning in an unsupervised manner to make choices based on the input.
Below topics are explained in this Deep Learning Tutorial:
Start (0:00)
1. What is Deep Learning? ( 02:25 )
2. Why do we need Deep Learning? ( 03:42 )
3. Applications of Deep Learning ( 04:55 )
4. What is Neural Network? ( 11:32 )
5. Activation Functions ( 15:50 )
6. Working of Neural Network ( 26:14 )
Check Out Simplilearn Deep Learning Course here: https://www.simplilearn.com/deep-learning-course-with-tensorflow-training?utm_campaign=What-is-Deep-Learning-FbxTVRfQFuI&utm_medium=Tutorials&utm_source=youtube
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We've partnered with Purdue University and collaborated with IBM to offer you the unique Post Graduate Program in AI and Machine Learning. Learn more about it here - https://www.simplilearn.com/ai-and-machine-learning-post-graduate-certificate-program-purdue?utm_campaign=What-is-Deep-Learning-FbxTVRfQFuI&utm_medium=Tutorials&utm_source=youtube
โก๏ธ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.
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- And Many Moreโฆ
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