🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) : https://www.edureka.co/advance....d-artificial-intelli
This video on Artificial Intelligence gives you a brief introduction to AI discussing how it can be a threat as well as useful.

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
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Check out KiwiCo and get 50% off your first month of ANY crate at https://www.kiwico.com/xylafoxlin

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Derek's First Video on Blackbird: https://youtu.be/jyQwgBAaBag
Derek's Second Video: https://youtu.be/yCsgoLc_fzI

A HUGE thank you to my friend Shane for stepping in and helping me with overnight CAD while I was overwhelmed and struggling and seriously needed to just sleep. Y'all should give him a follow, he is a very cool rocket kid! https://twitter.com/Shanepc14

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Build your own Impossible Wind Cart:
------------------------------------------------------------
**I HIGHLY recommend ordering ordering extra parts, especially ball bearings and plastic gears. The listed quantities are what is on the cart in it's final form.**

CAD Files: https://www.thingiverse.com/thing:4897423

My 3D Printer (Creality CR-200B): https://www.creality3dofficial.....com/products/cr-200

Bill of Materials from McMaster-Carr:
https://www.mcmaster.com/
1x 12205T79 Natural Rubber Bands Size 73, 3/8" Wide x 3" Long
6x 60355K42 Ball Bearing Shielded, Trade No. R3-2Z, for 3/16" Shaft Diameter
2x 7297K12 Plastic Miter Gear 48 Pitch, 24 Teeth
2x 1263K55 Rotary Shaft 316 Stainless Steel, 3/16" Diameter, 24" Long
2x 8978K113 Rigid Aluminum Tubing 3/16" OD, 0.022" Wall Thickness, 490 PSI Maximum Pressure, 3' Long
2x 6432K19 Set Screw Shaft Collar for 3/16" Diameter, Zinc-Plated 1215 Carbon Steel

The Propeller: https://www.apcprop.com/product/14x4-7sf/
(affiliate link, not the prop I used: https://amzn.to/3y58jz0)

Pretty Purple Filament: https://amzn.to/3A8cXOJ ;)

Alternatively, a good friend of mine wanted to build this and shaved $14 off the BOM still ordering from McMaster. I can't vouch since it's not what I built specifically but I'm fairly certain it'll be exactly the same:
1 1 Pack of 360 12205T79 Natural Rubber Bands Size 73, 3/8" Wide x 3" Long
2 2 Each 7297K12 Plastic Miter Gear 48 Pitch, 24 Teeth
3 2 Each 8978K113 Rigid Aluminum Tubing 3/16" OD, 0.022" Wall Thickness, 490 PSI Maximum Pressure, 3' Long
4 2 Each 6432K19 Set Screw Shaft Collar for 3/16" Diameter, Zinc-Plated 1215 Carbon Steel
5 6 Each 57155K374 Stainless Steel Ball Bearing Precision, Shielded, NO. R3-2Z, 50000 rpm Maximum Speed
6 2 Each 1257K55 Rotary Shaft 303 Stainless Steel, 3/16" Diameter, 24" Long

Huge thank-you to TotalBoat for supporting my channel!
Use my affiliate link for 5% off your whole purchase :)
https://www.totalboat.com/BotalToat

A todos les gusta el flujo laminar pero el flujo turbulento es realmente fascinante.
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Un agradecimiento especial a:
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Destin de Smarter Every Day https://www.youtube.com/smartereveryday
Nicole Sharp de la FYFD https://ve42.co/fyfd
Simulaciones de turbulencias de Pavol Dobryakov: https://paveldogreat.github.io..../WebGL-Fluid-Simulat

Me introduje en el flujo turbulento a través del caos. La transición a la turbulencia a veces implica un período de duplicación. La turbulencia en sí misma es un movimiento caótico, es impredecible y sensiblemente dependiente de las condiciones iniciales. Lo que me sorprendió es todas las formas en que el flujo turbulento nos es útil. Es difusivo, lo que significa que favorece que las cosas se mezclen. Esto es útil en los motores a reacción o en las toberas de los cohetes (que estudia Destin) y es importante conseguirlo en los dispositivos microfluídicos, que son tan pequeños que el flujo turbulento es realmente difícil de conseguir. El flujo turbulento puede energizar una capa límite, lo que es importante para mantener el flujo sobre un ala, manteniendo la sustentación y retrasando la pérdida. De manera similar, una capa límite turbulenta sobre una pelota de golf reduce la resistencia a la presión permitiendo que las pelotas de golf vuelen más lejos. Esta es la razón de los hoyos en las pelotas de golf. Este hermoso fenómeno puede verse en la calle de vórtices de von Kàrmàn en las nubes vistas desde el espacio. La turbulencia está en todas partes, en las corrientes de aire de una habitación, en la aorta, en las respiraciones que exhalamos, en los oleoductos y tuberías de agua, en el flujo sobre coches, barcos y aviones. Los animales han evolucionado para ello (como los peces muertos nadando río arriba) y hemos diseñado nuestro entorno, nuestros aviones y bolas de golf para ello. El flujo laminar puede ser agradable de ver (por eso lo usamos en fuentes decorativas) pero el flujo turbulento da el verdadero impulso.

Animaciones de:
Jonny Hyman (Sol, Júpiter, Reynolds, aerodinámica, lapso de tiempo de la Tierra)

Investigación y escritura:
AJ Fillo y Derek Muller. AJ también creó los tiros de pelota de golf del túnel del viento

Filmado por:
Daniel Bydlowski y Derek Muller

Material adicional:
Imágenes de Júpiter cortesía de la NASA
Turbulencia en las corrientes de aire por la Chica de la Física, Dan Walsh, y Grant Sanderson https://youtu.be/N7d_RWyOv20
https://youtu.be/_UoTTq651dE

La música:
illBird "Shaffuru" https://youtu.be/5rkt53fNMgc
De EpidemicSound https://epidemicsound.com "Seaweed" "Colorful Animation 4”
Kevin MacLeod https://incompetech.com "Sneaky Adventure"
Video en Inglés del Canal @veritasium :https://youtu.be/5zI9sG3pjVU
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Накануне демонстрации первого реального снимка чёрной дыры на канале Veritasium вышло видео о том, что мы можем на нём увидеть. С теми изображениями, которые уже получены, более или менее всё понятно, но как бы выглядела чёрная дыра, будь у нас другой угол обзора, и почему? Ответы ищите в ролике.

Перевод: Елена Смотрова
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Источник: https://youtu.be/zUyH3XhpLTo

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In this live session on Robot Framework Tutorial For Beginners, firstly we will learn automation
,Automation approaches
Basics of python
python unit testing
selenium WebDriver
read This video is must watch for everyone who wishes to learn Robot Framework With Python and make a career in it.

#RobotFrameworkTutorialForBeginners #RobotFrameworkWithPython #IntroductiontoRobotframework #Robotframework
#intellipaat

Following topics are covered in this session:
00:00 - Introduction to Robot Framework
02:30 - Course content
06:07- Benefits of Automation Testing
14:03- Why Automation
22:49- Automation Testing Process
31:04- Test Tool Selection
34:20- Framework For Automation
37: 32- Difference Between Manual and Automation Testing
41:49- Python Introduction
50:00- How To Install Python on Windows
56:25- Data Types and Variables
1:31:18- Looping Concepts
3:08:45- Polymorphism
3:31:48-Multiple Inheritance
3:34:36- Collection

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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐎𝐩𝐬 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞: https://www.edureka.co/devops-....certification-traini (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka video on "DevOps Engineer Day-to-Day Activities" will help you understand the need for Kubernetes and how does it work.

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2024 - https://www.youtube.com/watch?v=vaLXPv0ewHU

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How are technologies like ChatGPT created? And what does the future hold for AI language models?

This talk was filmed at the Royal Institution on 29th September 2023, in collaboration with The Alan Turing Institute.

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Watch the Q&A: https://youtu.be/9i2x2HyeW-Y

Generative AI refers to a type of artificial intelligence that involves creating new and original data or content. Unlike traditional AI models that rely on large datasets and algorithms to classify or predict outcomes, generative AI models are designed to learn the underlying patterns and structure of the data and generate novel outputs that mimic human creativity.

ChatGPT is perhaps the most well-known example, but the field is far larger and more varied than text generation. Other applications of generative AI include image and video synthesis, speech generation, music composition, and virtual reality.

In this lecture, Mirella Lapata will present an overview of this exciting—sometimes controversial—and rapidly evolving field.

Mirella Lapata is professor of natural language processing in the School of Informatics at the University of Edinburgh. Her research focuses on getting computers to understand, reason with, and generate natural language. She is the first recipient (2009) of the British Computer Society and Information Retrieval Specialist Group (BCS/IRSG) Karen Sparck Jones award and a Fellow of the Royal Society of Edinburgh, the ACL, and Academia Europaea.

00:00 Intro
2:38 Generative AI isn’t new – so what’s changed?
8:43 How did we get to ChatGPT?
12:38 How are Large Language Models created?
22:48 How good can a LLM become?
26:57 Unexpected effects of scaling up LLMs
28:05 How can ChatGPT meet the needs of humans?
32:30 Chat GPT demo
38:07 Are Language Models always right or fair?
40:21 The impact of LLMs on society
42:54 Is AI going to kill us all?

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This Edureka video on Model Selection and Boosting in Machine Learning (Part 2 - https://youtu.be/Ht4FoHlgmIc) Step by step guide to select and boost your models in Machine Learning.

🔷🔸𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗦𝗽𝗲𝗮𝗸𝗲𝗿🔸🔷
Name: Mr. Arunkumar Venkataramanan
Details:
1. Founder, CEO, CTO at DeepBrainz, Google Cloud Technology Partner & an NVIDIA Inception Member.
2. HBR Ascend Select Member for Harvard Business Review & PSF Contributing Member - Python Software Foundation.
3. Substantive Expertise in Big Data Mathematical Statistical Computational Quantitative Hacking Skills.
4. A Kaggle Master blended with IT Business Strategy OKRs Management Entrepreneurship Startup & Innovation.
5. Focused on Democratizing Tomorrow's State-of-the-art AI & Cutting-edge Technologies.
6. Awarded on Kaggle in Booz Allen’s 2019 Data Science Bowl.
7. A Machine Learning Practitioner, ML Software Engineer and Data Scientist with over 6+ years experience on AI/ ML/DL/ DS fields
8. An Alumnus of Anna University

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Why Machine Learning & AI?

Because of the increasing need for intelligent and accurate decision making, there is an exponential growth in the adoption of AI and ML technologies. Hence these are poised to remain the most important technologies in the years to come.

-----------------------------------------------

PG Program in Machine Learning & AI

1. Ranked 4th among NITs by NIRF
2. Ranked among Top 50 Institutes in India
3. Designated as Institute of National Importance

-----------------------------------------------

Program Features

1. Mentorship from NITW faculty
2. Placement Assistance
3. Alumni Status
4. Industry Networking

-----------------------------------------------

Industry Projects

1. Building a Conversational ChatBot
2. Predictive Model for Auto Insurance
3. E-commerce Website - Sales Prediction

-----------------------------------------------

Mentors & Instructors

Dr. RBV Subramaanyam
Professor NITW

Dr. DVLN Somayajulu
Professor NITW

Dr. P. Radha Krishna
Professor NITW

Dr. V. Ravindranath
Professor JNTU Kakinada

--------------------------------------------

Is this program for me?

If you’re passionate about AI & ML and want to pursue a career in this field, this program is for you. Whether you’re a fresher or a professional, this program is designed to equip you with the skills you need to rise to the top in a career in AI & ML.

For more information, Please write back to us at [email protected] or call us at IND: +91-9606058418 / US: 18338555775 (toll-free).

Simple and easy explanation of LLM or Large Language Model in less than 5 minutes. In this short video, you will build an intuition of how a large language model works using animation and simple story telling. This is the explanation that even a high school student can understand easily.

Simple Explanation of Neural Network: https://www.youtube.com/watch?v=ER2It2mIagI

Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses.

Need help building software or data analytics/AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website.

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This Edureka video on What is Text Classification in Machine Learning gives you a brief overview of text classification. In this quick guide, the following topics will be covered:

1) What is Text Classification?
2) Use Case of Text Classification

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#PythonEdureka #Edureka #textclassification #pythontextclassification #pythonprojects #pythonprogramming #pythontutorial #PythonTraining
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Become an expert in the exciting new world of AI & Machine Learning, get trained in cutting edge technologies and work on real-life industry-grade projects.
----------------------------------------------

Why Machine Learning & AI?

Because of the increasing need for intelligent and accurate decision making, there is an exponential growth in the adoption of AI and ML technologies. Hence these are poised to remain the most important technologies in the years to come.

-----------------------------------------------

PG Program in Machine Learning & AI

1. Ranked 4th among NITs by NIRF
2. Ranked among Top 50 Institutes in India
3. Designated as Institute of National Importance

-----------------------------------------------

Program Features

1. Mentorship from NITW faculty
2. Placement Assistance
3. Alumni Status
4. Industry Networking

-----------------------------------------------

Industry Projects

1. Building a Conversational ChatBot
2. Predictive Model for Auto Insurance
3. E-commerce Website - Sales Prediction

-----------------------------------------------

Mentors & Instructors

Dr. RBV Subramaanyam
Professor NITW

Dr. DVLN Somayajulu
Professor NITW

Dr. P. Radha Krishna
Professor NITW

Dr. V. Ravindranath
Professor JNTU Kakinada

--------------------------------------------

Is this program for me?

If you’re passionate about AI & ML and want to pursue a career in this field, this program is for you. Whether you’re a fresher or a professional, this program is designed to equip you with the skills you need to rise to the top in a career in AI & ML.

Is there any eligibility criteria for this program?

A potential candidate must have one of the following prerequisites: Degrees like BCA, MCA, and B.Tech or Programming experience Should have studied PCM in 10+2

Will I get any certificate at the end of the course?

Yes, you will receive a Post-Graduate industry-recognized certificate from E & ICT Academy, NIT Warangal upon successful completion of the course.

For more information, please write back to us at [email protected] or call us at IND: +91-9606058418 / US: 18338555775 (toll-free).

🔥Edureka Tensorflow Training (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"):
https://www.edureka.co/ai-deep....-learning-with-tenso
This Edureka "𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐞𝐫𝐬 𝐍𝐞𝐮𝐫𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬 𝐄𝐱𝐩𝐥𝐚𝐢𝐧𝐞𝐝" video will help you in understanding why we need Transformers and what exactly it is. It also explains few issues with training a Recurrent Neural Network and how to overcome those challenges using Transformers.

🔹Check our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE
🔹Check our complete Deep Learning With TensorFlow Blog Series: http://bit.ly/2sqmP4s
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00:00 Introduction
00:41 Introduction to Deep Learning
04:48 NLP Using RNN
06:16 Scaling up NLP Task
08:13 Transformers Walk Through
10:16 Top Language Models


📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
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📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/
00:00 Agenda
01:28 Introduction to Deep Learning
08:24 What is Deep Learning
13:02 NLP using RNN
15:59 Scaling up NLP task
16:49 Transformers WalkThrough
19:51 Top Language Models

#Edureka #EdurekaDeepLearning #Transformersxplained #TransformerNeuralNetworks #DeepLearningLanguageModels #DeepearningTutorial #EdurekaTraining

---------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧---------

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How it Works?

1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
2. 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.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!

- - - - - - - - - - - - - -

About the Course
Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.

Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.

- - - - - - - - - - - - - -

Why Learn Deep Learning With TensorFlow?
TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.

- - - - - - - - - - - - - -
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐂𝐨𝐮𝐫𝐬𝐞 - 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 𝐭𝐨 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝: https://www.edureka.co/openai-....chatgpt-training-cou
This 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐓𝐮𝐭𝐨𝐫𝐢𝐚𝐥 is intended as a Crash Course on 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 for Beginners. 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 has been growing in popularity exponentially. But, 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 is still not known to many people. In this video, I aim to show you the different ways in which you can use 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 for yourself.
The following topics are covered in this 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 Tutorial video:
00:00:00 Introduction to ChatGPT
00:01:03 About OpenAI
00:01:40 What is ChatGPT
00:01:58 Risks of ChatGPT
00:02:18 How to use ChatGPT
00:03:10 ChatGPT Interface
00:05:12 Using prompts in ChatGPT
00:07:31 Tricking ChatGPT to give wrong answers!
00:08:00 Conversation threads in ChatGPT
00:08:46 Shopping List using ChatGPT
00:10:36 ChatGPT for Coding
00:12:35 Using ChatGPT for Writing Content
00:13:43 Conclusion

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🌕 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh


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📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
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Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

MIT Introduction to Deep Learning 6.S191: Lecture 4
Deep Generative Modeling
Lecturer: Ava Amini
*New 2024 Edition*

For all lectures, slides, and lab materials: http://introtodeeplearning.com​

Lecture Outline
0:00​ - Introduction
6:10- Why care about generative models?
8:16​ - Latent variable models
10:50​ - Autoencoders
17:02​ - Variational autoencoders
23:25 - Priors on the latent distribution
32:31​ - Reparameterization trick
34:36​ - Latent perturbation and disentanglement
37:40 - Debiasing with VAEs
39:37​ - Generative adversarial networks
42:09​ - Intuitions behind GANs
44:57 - Training GANs
48:28 - GANs: Recent advances
50:57 - CycleGAN of unpaired translation
55:03 - Diffusion Model sneak peak

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LLMs or Large Language Models are everywhere these days. But how do they work exactly? In this video, a deep-fake version of Ryan Gosling (created with ElevenLabs and SyncLabs) explains the high-level workings of an LLM like ChatGPT.

🔵TOPICS 🔵
0:42 What are Large Language Models (a.k.a. LLMs)
1:10 Well known commercial and open source examples of LLMs
1:41 The inner workings of an LLM
3:00 What embeddings are
6:34 LLMs compared to how our live is generated
7:43 What the acronym GPT stands for

🔵ATTRIBUTION 🔵
Ground Truth Video Used to Create this video
KEN Things Ryan Gosling Can't Live Without | GQ
https://youtu.be/aNJ_JPkbH2M?si=rPGZEJndw-JP_lMw

🔵FAIR USE 🔵
This video is for educational purposes and is in line with the guidelines for Fair Use
https://support.google.com/youtube/answer/9783148?hl=en&ref_topic=2778546

#lipsync #chatgpt #llm #llms #generativeai #voicecloning #claude3 #perplexityai #perplexity #autonomousagents #autogen #crewai #facefusion

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In this cybersecurity Full course for beginners, you will learn the importance of cybersecurity, cybersecurity skills, what cybersecurity means, and the types of cyberattacks with a hands-on demo for each. This video also covers cryptography, ethical hacking, and the top cybersecurity certifications.

Below are the topics covered in this Cyber Security full course video:

00:00:00 Introduction to Cybersecurity Full Course
00:14:24 What is Cyber Security
00:15:15 Toughest Cybersecurity Certifications
03:12:01 Cyber Security Basics
03:23:52 Phishing Attacks
03:24:35 Top 7 Dangerous Hacking Gadgets
08:06:37 Live Demonstrations
08:24:06 ChatGPT For Ethical Hacker
08:24:34 Common Cybersecurity Mistakes
09:16:10 Cybersecurity Interview Questions

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⏩ Check out the Cyber Security training videos: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU

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What Is Cyber Security?
Cyber Security involves techniques that help in securing various digital components, networks, data, and computer systems, from unauthorized digital access. There are several ways to implement cybersecurity, depending on the kind of network you are connected to and the type of cyberattacks you are prone to. A few ways to implement cybersecurity are defining clear boundaries, using network security control devices like Firewalls and IDS, and carrying out security testing.

➡️ About Post Graduate Program In Cyber Security

This Post Graduate Program in Cyber Security will help you learn comprehensive approaches to protecting your infrastructure and securing data, including risk analysis, mitigation, and compliance. You will get foundational to advanced skills through industry-leading cyber security certification courses that are part of the program.

Key Features

✅ Simplilearn Post Graduate Certificate
✅ Masterclasses from MIT Faculty
✅ Featuring Modules from MIT SCC and EC-Council
✅ 8X higher interaction in live online classes conducted by industry experts
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✅ Industry case studies in cyber security
✅ Access to CEH Pro Version
✅ 25+ hands-on projects
✅ Capstone project in 3 domains
✅ MIT CSAIL Professional Programs Community

Skills Covered

✅ Advanced Hacking Concepts
✅ Network Packet Analysis
✅ Ethical Hacking
✅ IDS Firewalls and Honeypots
✅ Security and Risk Management
✅ Network Security
✅ Software Development Security
✅ Cryptography OSI and TCPIP Models
✅ Identity and Access Management
✅ Security Assessment and Testing
✅ Trojans Backdoors and Countermeasures
✅ Mobile and Web Technologies

Learning Path
✅ CS - Induction for Professional Certificate Program in Cyber Security
✅ CS - Operating Systems and Networking Essentials
✅ CS - Enterprise Infrastructure Security
✅ CS - Application Security, Vulnerability Management, and Cyber Resilience
✅ CS - Ransomware and Malware ✅ Defense, Analysis and Response
✅ CS - Ethical Hacking ✅ From Recon to Attack
✅ CS - Vulnerability Assessment and Penetration Testing (VAPT)
✅ CS - Cyber Capstone Project
Electives:
✅ CS - Academic Masterclass
✅ CS - Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ CS - Generative AI with Cybersecurity
✅ IBM : Network Security & Database Vulnerabilities
✅ IBM : Penetration Testing, Incident Response and Forensics

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