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metacodeM
United States
Registrace 17. 12. 2022
đ„Improve Your Tech Skills with MetaCode!đ„
Welcome to MetaCode!
Whether you're exploring the realms of AI, data science, machine learning, deep learning, LLM, or statistics, our expert instructors, who are either actively working in tech fields or hold Ph.D.s in their domains, are here to guide you for free.
Our goal is to empower you with the knowledge and skills needed to thrive in the dynamic world of rapidly evolving technologies.
Additionally, we're excited to announce the upcoming launch of our community website, where you can engage with fellow learners, stay updated on industry trends, and access exclusive resources related to Industry 4.0.
Weâll also offer comprehensive courses designed to provide you with in-depth learning experiences. Upon completion, you'll have the opportunity to earn certificates, validating your expertise.
Subscribe to our channel and join us on this journey of exploration, discovery, and continuous learning!đ
Email: support@mcode.co.kr
Welcome to MetaCode!
Whether you're exploring the realms of AI, data science, machine learning, deep learning, LLM, or statistics, our expert instructors, who are either actively working in tech fields or hold Ph.D.s in their domains, are here to guide you for free.
Our goal is to empower you with the knowledge and skills needed to thrive in the dynamic world of rapidly evolving technologies.
Additionally, we're excited to announce the upcoming launch of our community website, where you can engage with fellow learners, stay updated on industry trends, and access exclusive resources related to Industry 4.0.
Weâll also offer comprehensive courses designed to provide you with in-depth learning experiences. Upon completion, you'll have the opportunity to earn certificates, validating your expertise.
Subscribe to our channel and join us on this journey of exploration, discovery, and continuous learning!đ
Email: support@mcode.co.kr
Which Library is the Most Powerful in Deep Learning? | Chapter 7. Deep Learning
#tensorflow #pytorch #deeplearning
đ§ Welcome to our in-depth lecture series on Artificial Intelligence! In this segment, we delve into the world of AI frameworks, focusing on TensorFlow, Keras, and PyTorch. This discussion is designed to provide you with a deep understanding of the tools that power modern AI development, highlighting their unique features, strengths, and applications.
Show your support by liking this video and subscribing to our channel, MetaCodeM!
đ What We Cover:
00:00:00 Tensorflow/Keras
00:08:49 PyTorch
00:13:26 Keras vs. PyTorch vs. Tensorflow
00:17:11 Conclusion of Introduction to AI
đ§ Welcome to our in-depth lecture series on Artificial Intelligence! In this segment, we delve into the world of AI frameworks, focusing on TensorFlow, Keras, and PyTorch. This discussion is designed to provide you with a deep understanding of the tools that power modern AI development, highlighting their unique features, strengths, and applications.
Show your support by liking this video and subscribing to our channel, MetaCodeM!
đ What We Cover:
00:00:00 Tensorflow/Keras
00:08:49 PyTorch
00:13:26 Keras vs. PyTorch vs. Tensorflow
00:17:11 Conclusion of Introduction to AI
zhlĂ©dnutĂ: 477
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Technologies Commonly Used in Deep Learning Development | Chapter 6. Deep Learning
zhlĂ©dnutĂ 150PĆed 9 hodinami
#deeplearning #machinelearning #ai đ§ Dive into the fascinating world of Artificial Intelligence with our in-depth lecture series! In this segment, we lay the foundation for AI development by exploring essential tools and technologies that facilitate the creation and deployment of machine learning models. This discussion is designed to equip you with a comprehensive understanding of the developm...
How to Become a $140k Salary Data Analyst | By a 5-Year Experienced Data Analyst
zhlĂ©dnutĂ 1,2KPĆed 9 hodinami
#dataanalytics #datascience #tableau đ Welcome to our "Data Analyst Roadmap" presentation! Weâre thrilled to have Angika Roy, a data analyst from India with 5 years of experience, here to guide you through the complete journey of becoming a data analyst. Throughout this 15-minute presentation, you'll discover the crucial roles of a data analyst, explore the roadmap to success, and learn about t...
5 Steps to Develop an AI Modelă
ŁChapter 5. Deep learning
zhlĂ©dnutĂ 169PĆed dnem
#deeplearning #machinelearning #AI đ§ Dive into the fascinating world of Artificial Intelligence with our in-depth lecture series! In this third section of our first lecture on vision deep learning, we begin by exploring crucial AI development tools, followed by a deep dive into the core concepts of AI development. This segment sets the stage for practical, hands-on activities later in the cours...
How to Become a Front-End Developer in 4 Months | by Global Full Stack Developer
zhlĂ©dnutĂ 136PĆed dnem
#frontend #developer #bootcamp Unlock Your Path to Becoming a Front-End Developer in Just 4 Months! Join us in this dynamic presentation featuring Lukas Stiegelmayer, a global full-stack developer. In this 15-minute presentation, he lays out a clear and actionable roadmap to kickstart your career as a front-end developer. Whether you're starting from scratch or looking to pivot in your career, ...
Classification vs Detection vs Segmentationă
ŁChapter 4. Deep learning
zhlĂ©dnutĂ 152PĆed dnem
#deeplearning #machinelearning #classification đ§ Dive into the fascinating world of Artificial Intelligence with our in-depth lecture series! In this segment, we explore the various learning objectives in vision deep learning, focusing on how AI classifies, segments, detects, and generates visual content. We will examine practical applications and discuss the ethical implications of these techn...
Era of Deep Learning & Types of AI by Learning Methodsă
ŁChapter 3. Deep learning
zhlĂ©dnutĂ 314PĆed 14 dny
#deeplearning #machinelearning #ai đ§ Dive into the fascinating world of Artificial Intelligence with our in-depth lecture series! In this segment, we delve into the transformative era of deep learning, discussing the significant advancements that have shaped the field of artificial intelligence. We explore the crucial role of hardware, specifically GPUs, and their evolution from gaming to centr...
Compute & Container & Serverlessă
ŁChapter 4. AWS Certified Solution Architect - Associate 2024
zhlĂ©dnutĂ 201PĆed 14 dny
đ Welcome back to our AWS SAA Exam Course! In this fourth class of the series, we go over the more specifics of AWS as well going through real example problems to prepare you for the exam. This lecture was made for those have watched the other lectures and want to solve example problems for preparation. This class continues our "AWS SAA Exam Course" series. Be sure to catch up on the first clas...
What REALLY is Deep Learning? (NLP, CV, AIoT) l by PhD from Top-Tier University
zhlĂ©dnutĂ 248PĆed 14 dny
#deeplearning #llm #ai Weâre thrilled to have Omer Tariq, a third-year PhD student from a top-tier university, with us today! đ In this dynamic 15-minute presentation, he will take you on an exciting journey through deep learning, computer vision, natural language processing, and AIoT. Discover how AIoT, the powerful blend of AI and IoT, is making waves as one of the hottest applications of dee...
How to Start Coding in Java | Chapter 2: Java Zero to Hero
zhlĂ©dnutĂ 105PĆed 14 dny
#java #backend #developer Welcome to our Java Zero to Hero Course! This course is perfect for anyone looking to embark on their journey to become a software developer. Our instructor, a software developer from Silicon Valley, will guide you through the essentials of Java. In this session, we will explore how to start a new project in IntelliJ and how to declare variables. This is the second cla...
Linear Algebra Review in 10-min (feat. PhD in AI)
zhlĂ©dnutĂ 435PĆed 21 dnem
Linear Algebra Review in 10-min (feat. PhD in AI)
Why You Should Learn Javaă
ŁChapter 1. Java Zero to Hero
zhlĂ©dnutĂ 289PĆed 21 dnem
Why You Should Learn Javaă
ŁChapter 1. Java Zero to Hero
Differences between ML and DLă
ŁChapter 2. Deep learning
zhlĂ©dnutĂ 8KPĆed 21 dnem
Differences between ML and DLă
ŁChapter 2. Deep learning
AWS Service Overviewă
ŁChapter 3. AWS Certified Solution Architect - Associate 2024
zhlĂ©dnutĂ 310PĆed 21 dnem
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ŁChapter 3. AWS Certified Solution Architect - Associate 2024
What are ML and DL?ă
ŁChapter 1. Deep learning
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ŁChapter 1. Deep learning
What is Cloud?ă
ŁChapter 2. AWS Certified Solution Architect - Associate 2024
zhlĂ©dnutĂ 253PĆed 21 dnem
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ŁChapter 2. AWS Certified Solution Architect - Associate 2024
Course Introductionă
ŁChapter 1. AWS Certified Solution Architect - Associate 2024
zhlĂ©dnutĂ 280PĆed 28 dny
Course Introductionă
ŁChapter 1. AWS Certified Solution Architect - Associate 2024
AI Developer vs. AI Researcheră
ŁA 6-Year AI Professional Helps You Decide
zhlĂ©dnutĂ 13KPĆed 28 dny
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ŁA 6-Year AI Professional Helps You Decide
Basic Statistics 1 by Data Scientist ă2-hour Full Courseă
zhlĂ©dnutĂ 2KPĆed 28 dny
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Basic Statistics by Data Scientist ăPart 9 : Probability Density Functionă
zhlĂ©dnutĂ 272PĆed mÄsĂcem
Basic Statistics by Data Scientist ăPart 9 : Probability Density Functionă
Basic Statistics by Data Scientist ăPart 8 : Random Variablesă
zhlĂ©dnutĂ 474PĆed mÄsĂcem
Basic Statistics by Data Scientist ăPart 8 : Random Variablesă
Basic Statistics by Data Scientist ăPart 7 : Bayes' Theoremă
zhlĂ©dnutĂ 1,2KPĆed mÄsĂcem
Basic Statistics by Data Scientist ăPart 7 : Bayes' Theoremă
Basic Statistics by Data Scientist ăPart 6 : Conditional Probabilityă
zhlĂ©dnutĂ 375PĆed mÄsĂcem
Basic Statistics by Data Scientist ăPart 6 : Conditional Probabilityă
Basic Statistics by Data Scientist ăPart 5 : Probabilityă
zhlĂ©dnutĂ 488PĆed mÄsĂcem
Basic Statistics by Data Scientist ăPart 5 : Probabilityă
Statistics for Data Science Course ăPart 4 : Shape and Correlationă
zhlĂ©dnutĂ 416PĆed mÄsĂcem
Statistics for Data Science Course ăPart 4 : Shape and Correlationă
Statistics for Data Science Courseă
ŁPart 3: Variance and Standard Deviation
zhlĂ©dnutĂ 404PĆed mÄsĂcem
Statistics for Data Science Courseă
ŁPart 3: Variance and Standard Deviation
Statistics for Data Science Course ăPart 2: Mean, Median, and Modeă
zhlĂ©dnutĂ 821PĆed mÄsĂcem
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Statistics for Data Science Course ăPart 1: Categorical and Quantitative Dataă
zhlĂ©dnutĂ 15KPĆed mÄsĂcem
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Linear Algebra Tutorial by PhD in AIă
Ł2-hour Full Course
zhlĂ©dnutĂ 98KPĆed mÄsĂcem
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Ł2-hour Full Course
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zhlĂ©dnutĂ 288PĆed mÄsĂcem
Principal Component Analysis (PCA) ăLinear Algebra for AI - Part 9ă
do i need to get a degree in one of these Fields
One of the best series on CZcams. Thanks a lot...
đ„Check out other parts of our Deep Learning tutorial! Part 1: What are ML and DL? czcams.com/video/J-ggFnRJ0iI/video.html Part 2: Differences between ML and DL czcams.com/video/egHuy3Q7cRs/video.html Part 3: Why Is Deep Learning So Popular czcams.com/video/q2YxbCAJdEQ/video.html Part 4: Classification vs Detection vs Segmentation czcams.com/video/tgipd6F6KZc/video.html Part 5: 5 Steps to Develop an AI Model czcams.com/video/X77aX3oKPkA/video.html Part 6: Technologies Commonly Used in Deep Learning Development czcams.com/video/3jrmcRcqKqg/video.html Check out our Linear Algebra and Statistics tutorial! Linear Algebra: czcams.com/video/3Bf9oh7nkus/video.html Statistics: czcams.com/video/maRJpOJHwdE/video.html
đ„Check out other parts of our Deep Learning tutorial! Part 1: What are ML and DL? czcams.com/video/J-ggFnRJ0iI/video.html Part 2: Differences between ML and DL czcams.com/video/egHuy3Q7cRs/video.html Part 3: Why Is Deep Learning So Popular czcams.com/video/q2YxbCAJdEQ/video.html Part 4: Classification vs Detection vs Segmentation czcams.com/video/tgipd6F6KZc/video.html Part 5: 5 Steps to Develop an AI Model czcams.com/video/X77aX3oKPkA/video.html Part 6: Technologies Commonly Used in Deep Learning Development czcams.com/video/3jrmcRcqKqg/video.html Check out our Linear Algebra and Statistics tutorial! Linear Algebra: czcams.com/video/3Bf9oh7nkus/video.html Statistics: czcams.com/video/maRJpOJHwdE/video.html
đ„Check out other parts of our Deep Learning tutorial! Part 1: What are ML and DL? czcams.com/video/J-ggFnRJ0iI/video.html Part 2: Differences between ML and DL czcams.com/video/egHuy3Q7cRs/video.html Part 3: Why Is Deep Learning So Popular czcams.com/video/q2YxbCAJdEQ/video.html Part 4: Classification vs Detection vs Segmentation czcams.com/video/tgipd6F6KZc/video.html Part 5: 5 Steps to Develop an AI Model czcams.com/video/X77aX3oKPkA/video.html Part 6: Technologies Commonly Used in Deep Learning Development czcams.com/video/3jrmcRcqKqg/video.html Check out our Linear Algebra and Statistics tutorial! Linear Algebra: czcams.com/video/3Bf9oh7nkus/video.html Statistics: czcams.com/video/maRJpOJHwdE/video.html
đCareer Guide Series Data Analyst: czcams.com/video/GxhsZJEKyWo/video.html Front-end Developer: czcams.com/video/FgqeZCXHONs/video.html Deep Learning: czcams.com/video/EPD5mDYtRbk/video.html
đCareer Guide Series Data Analyst: czcams.com/video/GxhsZJEKyWo/video.html Front-end Developer: czcams.com/video/FgqeZCXHONs/video.html Deep Learning: czcams.com/video/EPD5mDYtRbk/video.html
đCareer Guide Series Data Analyst: czcams.com/video/GxhsZJEKyWo/video.html Front-end Developer: czcams.com/video/FgqeZCXHONs/video.html Deep Learning: czcams.com/video/EPD5mDYtRbk/video.html
Madam, how much more english language fluency should I gain in the field of data analyst?
Nice and detailed video, please continue this series
Thank you for watching the video! We will continue to upload more career guide videos. Have a great day :)
Great Video. She is from India.
I'm glad you liked the video! We are currently creating more content with experts from India. Have a great day! :)
insanely good! thank you for this!
Thank you for watching the video! I'm very happy to hear that you liked the lecture. Have a great day :)
Never could have been clearer <3 Appreciate the lecturer and the whole team! Please upload more!!!!!
Thank you so much! I'm glad that you liked the lecture. Stay tuned for more. Have a great day! :)
đ„If you need to download course materials, please contact us via email at h.metacode@gmail.com đ© Please leave the link to the video you want to receive lecture materials for, and also leave your thoughts or feedback on our Meta Code lectures. After confirming, we will reply with the files.
đ„If you need to download course materials, please contact us via email at h.metacode@gmail.com đ© Please leave the link to the video you want to receive lecture materials for, and also leave your thoughts or feedback on our Meta Code lectures. After confirming, we will reply with the files.
đ„If you need to download course materials, please contact us via email at h.metacode@gmail.com đ© Please leave the link to the video you want to receive lecture materials for, and also leave your thoughts or feedback on our Meta Code lectures. After confirming, we will reply with the files.
đ„If you need to download course materials, please contact us via email at h.metacode@gmail.com đ© Please leave the link to the video you want to receive lecture materials for, and also leave your thoughts or feedback on our Meta Code lectures. After confirming, we will reply with the files.
Hi sir, thank U very much for your effort and time, I hope you to keep creating such great lessons like these. I was wondering about the tool that you use to create these lessons, I would be grateful for a response cause I'm so interested in such like techniques. Thanks again.
Thank you for watching the video! The slides are in PowerPoint, and we use an interactive whiteboard to make the lectures more engaging. Have a great day :)
can you explain why 3x3 det looks like this, why do we have to use alternate sign, why 1st row elements are used like const? i mean the geometric interpretation of 3x3 det
10K soon
Yes, we are finally theređ Thank you for subscribing to our channel! Have a great day :)
Nice sir very interesting †I watch full video don't lose hope from.less viwes
Thank you for your support. Have a nice day :)
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Nice, but is the audio out of sync?
excellent
That's Cool
đ„Check out other parts of our Deep Learning tutorial! Part 1: What are ML and DL? czcams.com/video/J-ggFnRJ0iI/video.html Part 2: Differences between ML and DL czcams.com/video/egHuy3Q7cRs/video.html Part 3: Why Is Deep Learning So Popular czcams.com/video/q2YxbCAJdEQ/video.html Part 4: Classification vs Detection vs Segmentation czcams.com/video/tgipd6F6KZc/video.html Part 5: 5 Steps to Develop an AI Model czcams.com/video/X77aX3oKPkA/video.html Part 6: Technologies Commonly Used in Deep Learning Development czcams.com/video/3jrmcRcqKqg/video.html Check out our Linear Algebra and Statistics tutorial! Linear Algebra: czcams.com/video/3Bf9oh7nkus/video.html Statistics: czcams.com/video/maRJpOJHwdE/video.html
Awesome and very informative video
đCheck out the other parts of our AWS SAA Certificate tutorial series! Part 1: czcams.com/video/-Cdy0elabOk/video.html Part 2: czcams.com/video/0SgiV2d6yM4/video.html Part 3: czcams.com/video/P9Em-UPWIlY/video.html Part 4: czcams.com/video/FX-Doc7ZK2c/video.html Check out our Linear Algebra and Statistics tutorial! Linear Algebra: czcams.com/video/3Bf9oh7nkus/video.html Statistics: czcams.com/video/maRJpOJHwdE/video.html
đ„Check out other parts of our Deep Learning tutorial! Part 1: What are ML and DL? czcams.com/video/J-ggFnRJ0iI/video.html Part 2: Differences between ML and DL czcams.com/video/egHuy3Q7cRs/video.html Part 3: Why Is Deep Learning So Popular czcams.com/video/q2YxbCAJdEQ/video.html Part 4: Classification vs Detection vs Segmentation czcams.com/video/tgipd6F6KZc/video.html Part 5: 5 Steps to Develop an AI Model czcams.com/video/X77aX3oKPkA/video.html Part 6: Technologies Commonly Used in Deep Learning Development czcams.com/video/3jrmcRcqKqg/video.html Check out our Linear Algebra and Statistics tutorial! Linear Algebra: czcams.com/video/3Bf9oh7nkus/video.html Statistics: czcams.com/video/maRJpOJHwdE/video.html
đ„Check out other parts of our Java tutorial! Part 1: Why You Should Learn Java czcams.com/video/KQJ1JQrqfyE/video.html Part 2: How to Start Coding in Java czcams.com/video/PcAh9LSi1bM/video.html
đ
Great video sir I sent you email but no response â€.You doing great work keep with work in India so poor for skill building
Informative Session â€
Glad you liked it