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Data Analytics
20 Views · 3 years ago

This lab measures the tiniest forces in the universe. This video is sponsored by Brilliant. You can get started for free, or the first 200 people to sign up via https://brilliant.org/veritasium get 20% off a yearly subscription.

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Thanks to Rich Press and NIST for the great visit.
Thanks to Dr. Gordon Shaw for showing us around his lab and teaching us about measuring tiny forces.
You can check out all the cool work going on at NIST here: https://www.nist.gov/

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References:

Lee, J. (2016). Measuring Tiny Forces With Light. NIST. – https://ve42.co/Lee2016

Melcher, J., Stirling, J., Guzman, F., Pratt, J. & Shaw, G. (2014). A self-calibrating optomechanical force sensor with femtonewton resolution. Applied Physics Letters. – https://ve42.co/Melcher2014

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Special thanks to our Patreon supporters:
Bernard McGee, James Sanger, Elliot Miller, Brian Busbee, Jerome Barakos M.D., Amadeo Bee, TTST, Balkrishna Heroor, Chris LaClair, John H. Austin Jr., OnlineBookClub.org, Eric Sexton, John Kiehl, Diffbot, Gnare, Dave Kircher, Burt Humburg, Blake Byers, Evgeny Skvortsov, Meekay, Bill Linder, Paul Peijzel, Josh Hibschman, Mac Malkawi, Mike Schneider, John Bauer, Jim Buckmaster, Juan Benet, Sunil Nagaraj, Richard Sundvall, Lee Redden, Stephen Wilcox, Marinus Kuivenhoven, Michael Krugman, Cy 'kkm' K'Nelson, Sam Lutfi

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Written by Derek Muller
Edited by Trenton Oliver
Animation by Ivy Tello
Filmed by Derek Muller, Trenton Oliver, and Emily Zhang
Additional video/photos supplied by Pond5 & Getty Images
Music from Epidemic Sound
Produced by Derek Muller, Petr Lebedev, and Emily Zhang

Data Analytics
145 Views · 3 years ago

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This video on topic What is UI/UX? is curated by experts in the User Interface and User Experience domain to help the aspiring UI/UX developers to understand the User Interface and User Experience Fundamentals and get a brief understanding on the critical skills required to become an expert UI/ UX Developer and also understand the important roles and responsibilities of a UI/UX Developer in real-time. This UI/UX Tutorial For beginners video by simplilearn will cover the following topics.

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This UI UX Bootcamp by UMass Amherst helps you learn a design-centric approach towards User Interface and User Experience, including UX Research, UI styling, User-Centered Design process, Wireframes; Prototypes, Usability Testing. Practice via Capstone Projects; course wide assignments and projects and create your portfolio on Dribbble

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Generative AI
12 Views · 2 years ago

Welcome to our channel! In this video, we will be discussing how to master the field of data science.

Data science is a rapidly growing field that is constantly evolving, so it's essential to stay up-to-date with the latest technologies and techniques. Whether you're just starting or already have some experience in data science, this video will provide valuable insights and tips to help you become a data science master.

First, we will discuss the foundational skills required for data science, such as programming, statistics, and mathematics. Then, we will dive into more advanced topics like machine learning, data visualization, and big data processing.

Throughout the video, we will also provide resources and recommendations on courses, books, and online tutorials to help you develop and enhance your data science skills.

We will also cover the importance of working on real-world data science projects and networking with other professionals in the industry to stay updated with the latest trends and job opportunities.

By the end of this video, you will have a better understanding of the essential skills and resources needed to become a data science master. So, whether you're a student or a working professional looking to transition into data science, be sure to watch this video to take your data science skills to the next level.

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0:00 - Introduction
1:54 - What is Data Science?
2:43 - Who is a Data Scientist?
3:43 - What does a Data Scientist Do?
5:30 - How to Master Data Science?
17:18 - What is the Demand for Data Science Professionals?
18:12 - Conclusion


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Data Analytics
3 Views · 2 years ago

SUSCRÍBETE para ver todos nuestros videos: @VeritasiumES

Visitamos la Armada de los Estados Unidos para probar los mejores anteojos de visión nocturna del mundo. Dirígete a https://brilliant.org/veritasium para comenzar tu prueba gratuita de 30 días, y las primeras 200 personas obtendrán un 20% de descuento en una suscripción premium anual.

Si estás buscando un kit de modelado molecular, visita https://ve42.co/SnatomsV para probar Snatoms, un kit que inventé donde los átomos se unen magnéticamente.

Un agradecimiento enorme al Dr. Ben Conley y a todo el equipo del Centro de Guerra Naval Surface, División Crane. Puedes conocer más sobre su trabajo aquí: https://www.navsea.navy.mil/Home/Warf...


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Referencias del video:
Tyson, J. (2001). Cómo funciona la visión nocturna. How Stuff Works. - https://ve42.co/HSWNightVision
Montoro, H. P. Intensificación de imágenes: la tecnología de la visión nocturna. Photonics. - https://ve42.co/PhotonicsTech
Brain Stuff - HowStuffWorks a través de YouTube - https://ve42.co/HSWVideo
Photonis a través de YouTube - https://ve42.co/Photonis
Operator Drewski a través de YouTube - https://ve42.co/NVGaming
Dispositivo de visión nocturna a través de Wikipedia - https://ve42.co/NVWiki
Intensificador de imagen a través de Wikipedia - https://ve42.co/Intensifier
Lodriguss, J. Cómo funcionan las cámaras digitales. AstroPix. - https://ve42.co/AstroPix
Kinka-Byo. (2019). ¿Cuál es la causa física del aumento de ruido a ISO alto? StackExchange. - https://ve42.co/PhotoISO
Macias, A. (2015). Las NVG secretas que usó el SEAL Team Six en la incursión contra Bin Laden. Business Insider. - https://ve42.co/BINightVision
Van Dommelen, L. Emisión termoiónica. Mecánica cuántica para ingenieros. - https://ve42.co/Thermoionic
Nave, R. (2016). Radiación de cuerpo negro. HyperPhysics. - https://ve42.co/BlackBody
Terminología de visión nocturna - Generaciones. ModArmory. - https://ve42.co/ModArmory
NASA (2018). Detectores de rayos X - Detección de corriente eléctrica. - https://ve42.co/NASAXRay

Imágenes y videos:
Informe de Osama Bin Laden, a través de CNN en YouTube - https://ve42.co/CNNOBL
Escena de incursión nocturna de Sicario, a través de Movieclips en YouTube - https://ve42.co/Sicario
Metraje de Splinter Cell, a través de Ubisoft en YouTube - https://ve42.co/SplinterCell
Escena de visión nocturna de Step Brothers, a través de masusockvevo en YouTube - https://ve42.co/StepBrothers
Informe de Ucrania, a través de CNN en YouTube - https://ve42.co/CNNUkraine
Metraje de la cámara de imagen térmica FLIR K2, a través de Teledyne FLIR en YouTube - https://ve42.co/FLIRK2
Imágenes del Observatorio de rayos X Chandra, a través de la NASA - https://ve42.co/NASAChandra

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Agradecimientos especiales a nuestros seguidores de Patreon:
Adam Foreman, Anton Ragin, Balkrishna Heroor, Bernard McGee, Bill Linder, Burt Humburg, Chris Harper, Dave Kircher, Diffbot, Evgeny Skvortsov, Gnare, John H. Austin, Jr., John Kiehl, Josh Hibschman, Juan Benet, KeyWestr, Lee Redden, Marinus Kuivenhoven, Mario Bottion, Max Maladino, Meekay, Meg Noah, Michael Krugman, Paul Peijzel, Richard Sundvall, Sam Lutfi, Stephen Wilcox, Tj Steyn, TTST, Ubiquity Ventures

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Dirigido por Emily Zhang
Escrito por Emily Zhang y Derek Muller
Editado por Trenton Oliver
Animado por Mike Radjabov, Fabio Albertelli e Ivy Tello
Filmado por Trenton Oliver, Emily Zhang, Derek Muller y Raquel Nuno
Producido por Emily Zhang y Derek Muller

Miniatura por Ren Hurley
Video/fotos adicionales proporcionados por Getty Images y Pond5
Música de Epidemic Sound

Video en Inglés del Canal @Veritasium: https://youtu.be/UAeJHAFjwPM

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

🕹 Este canal de Youtube es administrado por: https://www.unilingo.co/
❓Comentarios o sugerencias de traducción: [email protected]

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#veritasiumenespañol

Data Analytics
29 Views · 2 years ago

Помощь проекту: https://vertdider.tv/to-support-us/

Можно ли одной рукой поднять над головой гриф с диском весом 20 кг на конце? Если вы невероятно сильный, то можно. А если вы Дерек Маллер, то этот диск придется сначала очень быстро раскрутить.

Ответ: https://youtu.be/FasivFKE0Tc
Гироскопическая прецессия: https://youtu.be/uMQ85tOPSO4

Перевод: Алексей Лоскутов
Редактура: Алексей Малов
Научная редактура: Леонид Вокин
Озвучка: Дмитрий Чепусов, Юрий Катарманов
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

Спасибо за поддержку на https://www.patreon.com/VertDider.
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Generative AI
19 Views · 2 years ago

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Data Analytics
5 Views · 2 years ago

🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐌𝐚𝐬𝐭𝐞𝐫 𝐏𝐫𝐨𝐠𝐫𝐚𝐦: https://www.edureka.co/masters....-program/machine-lea (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka video on Random Forest in Machine Learning explains the concept of the Random Forest algorithm in Python and how is it used.
00:00:00 Agenda
00:01:10 What is Classification
00:01:45 Classification vs Regression
00:02:18 Types of Classification Algorithms
00:02:33 Understanding Random Forest
00:02:38 What is Random Forest
00:03:12 Why Random Forest
00:03:31 Terminology Alert-What is Ensemble Learning
00:08:15 Ensemble Mode- Bagging
00:09:20 Ensemble Mode Technology Alert- Boosting
00:10:21 Random Forest Analogy
00:13:40 What is Random Forest
00:14:05 Creating a Random Forest: Steps Involved
00:14:48 Step 1: Creating a Bootstrap Dataset
00:15:49 Stewp2:Create Decision Tree: Bootstrapped Dataset
00:17:07 Step 3 & 4: Counting the votes for predicting
00:17:21 How Good is your Model
📝Feel free to comment your doubts in the comment section below, and we will be happy to answer📝

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

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⏩𝐓𝐨𝐩 𝟏𝟎 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟮: https://bit.ly/3yhEs7S
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📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
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📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

About the Machine Learning with Python Training
Edureka’s Machine Learning Certification Training using Python is designed to make you grab the concepts of Machine Learning. This Machine Learning Certification will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in the python programming language. Furthermore, in this Machine Learning with Python Training, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real-life scenarios using Machine Learning Algorithms. Towards the end of this Machine Learning online course, we will be discussing various practical use cases of Machine Learning with Python programming language to enhance your learning experience. Edureka offers the best Machine Learning Training online for those who want to be the best in Python. Enroll now with Edureka's online Machine Learning Certification to get trained with industrial experts.

Generative AI
28 Views · 2 years ago

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In this video on Large Language Models Explainedwe will go through the basic understanding of what is large language model(LLM) in machine learning. In this machine learning video, we will cover topics like what is LLM, how large language model works, applications of large language models, and many more.
Below are the topics covered in this video:-
00:00 Large Language Models Explained
02:50 What are Large Language Models?
04:03 What are Large Language models used for?
04:27 How LLM trained
07:12 Applications of Large Language Models

🔵What are the large language models?
Large language models, such as GPT-3 (Generative Pre-trained Transformer 3), are advanced artificial intelligence systems designed to understand and generate human-like text. These models are built using deep learning techniques and have been trained on vast amounts of text data from the internet.

🔵What are large language models used for?

Large language models are utilized in scenarios where there is limited or no domain-specific data available for training. These scenarios include both few-shot and zero-shot learning approaches, which rely on the model's strong inductive bias and its capability to derive meaningful representations from a small amount of data or even no data at all.

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#LargeLanguageModels #LLM #MachineLearning #WhatisLargeLanguageModels #ChatGPT #AI #ArtificialIntelligence #Simplilearn

➡️ 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.

✅ Key Features

- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

✅ Skills Covered

- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…

👉 Learn More At: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=24June2023LargeLanguageModelsExplained&utm_medium=Description&utm_source=youtube
🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

✅ Inspiring Success Stories of Simplilearn's Learners: https://www.simplilearn.com/reviews?utm_campaign=24June2023LargeLanguageModelsExplained&utm_medium=Description&utm_source=youtube
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Data Analytics
7 Views · 2 years ago

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) : https://www.edureka.co/advance....d-artificial-intelli
This Edureka LSTM Explained video will help you in understanding why we need Recurrent Neural Networks (RNN) and what exactly it is. It also explains few issues with training a Recurrent Neural Network and how to overcome those challenges using LSTMs.
00:00:00 Introduction
00:00:36 Agenda
00:00:47 Introduction to NLP
00:01:46 Ways to Process Text Data
00:02:57 Recurrent Neural Networks
00:22:02 Long Short-term Memory
00:51:46 LSTM Use Cases
00:53:45 Real Time Applications of LSTM

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📝Feel free to share your comments below.📝

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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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.

Data Analytics
2 Views · 2 years ago

Here's the roadmap that I would follow to learn artificial intelligence (AI).
📚 Get the FREE roadmap here ➡️ https://bit.ly/data-alchemy

⏱️ Timestamps
00:00 Introduction
00:34 Why learn AI?
01:28 Code vs. Low/No-code approach
02:27 Misunderstandings about AI
03:27 Ask yourself this question
04:19 What makes this approach different
05:42 Step 1: Set up your environment
06:54 Step 2: Learn Python and key libraries
08:02 Step 3: Learn Git and GitHub Basics
08:35 Step 4: Work on projects and portfolio
13:12 Step 5: Specialize and share knowledge
14:31 Step 6: Continue to learn and upskill
15:39 Step 7: Monetize your skills
16:53: What is Data Alchemy?

🛠️ Explore ProjectPro
https://bit.ly/3q837w8

👋🏻 About Me
Hey there! I'm Dave, an AI Engineer and the founder of Datalumina, where our mission is to facilitate entrepreneurial and technological proficiency in professionals and businesses. Through my videos here on this channel, my posts on LinkedIn, and courses on Skool, I share practical strategies and tools to navigate the complexities of data, artificial intelligence, and entrepreneurship.

🎓 My Courses
https://www.skool.com/data-alchemy
https://www.skool.com/data-freelancer

✔️ How I manage my business and dev projects
https://clickup.pxf.io/k0EN9N

📊 How I'm using data to track my health
https://join.whoop.com/datalumina

🔗 Let's Connect
https://www.linkedin.com/in/daveebbelaar/
https://www.instagram.com/daveebbelaar/

📥 Datalumina's Newsletter
https://www.datalumina.com/newsletter

#ai #roadmap #datalumina

📌 Video Description
In this video, Dave shares a comprehensive and actionable roadmap for anyone looking to start their journey into the exciting world of artificial intelligence (AI) in 2024. Whether you're a complete beginner or someone looking to pivot your career towards AI, this video lays out a step-by-step guide that demystifies the process of learning AI from the ground up. Dave highlights the significance of AI in today's tech landscape and addresses common misconceptions that newcomers might have.

With a focus on practical learning, the video emphasizes the importance of choosing between a code-centric or a low/no-code approach, making AI accessible to a broader audience. Dave's unique approach involves asking a critical question that shapes the learning path, ensuring that viewers embark on a journey tailored to their goals and interests.

The roadmap detailed in the video covers essential steps such as setting up your learning environment, mastering Python and key libraries crucial for AI, understanding the basics of Git and GitHub, and the importance of working on projects to build a strong portfolio. Dave also talks about the importance of specialization and the continuous process of learning and upskilling in fields like generative AI, large language models, chatbots, and machine learning.

Furthermore, Dave shares insights on how to monetize your AI skills, turning your passion into a profession. The video concludes with an introduction to Data Alchemy, a concept that encapsulates the transformative power of AI knowledge.

For those eager to dive into the AI world, Dave offers a free roadmap accessible through the link provided in the video description. This invaluable resource serves as a compass for navigating the complexities of AI learning, making it an essential watch for anyone interested in artificial intelligence, machine learning, and related technologies.

Data Analytics
4 Views · 2 years ago

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Welcome to the Tutorial on Prompt Library, your comprehensive toolkit for mastering myriad use cases with ease. Whether you're delving into programming, honing creative writing skills, or exploring data analysis, this library offers a versatile array of prompts tailored to your needs. Seamlessly designed to inspire, instruct, and elevate your learning experience, each prompt is crafted with precision to ignite creativity and foster skill development. Join in as we deep dive into this tutorial

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#PromptEngineeringTutorialForBeginners #WhatIsPromptEngineering #IntroductionToPromptEngineering #PromptEngineering #PromptEngineeringIntroduction #PromptEngineeringChatGPT #PromptEngineeringTutorial #AIML #MachineLearning #ML #ArtificialIntelligence #AI #Simplilearn

➡️ 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.

✅ Key Features

- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

✅ Skills Covered

- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…

👉 Enroll Now: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=27April24MasterThePerfectChatGPTFormula&utm_medium=Description&utm_source=youtube
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Data Analytics
9 Views · 2 years ago

🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐒𝐐𝐋 𝐂𝐨𝐮𝐫𝐬𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/microso....ft-sql-server-certif
This Edureka SQL Full Course video will cover all the topics of Structured Query Language (SQL) starting from scratch. This SQL tutorial for beginners is great for beginners who want to learn SQL and for professionals who want to brush up on their SQL skills.
00:00:00 Introduction
00:05:51 What is SQL?
00:18:02 SQL Operators
00:52:27 Normalization in SQL
01:03:55 Triggers In SQL
01:16:07 SQL Joins
01:38:20 SQL Functions
03:05:48 SQL vs MySQL
03:53:50 Basics of SQL
04:11:04 SQL vs NoSQL
04:16:34 SQL For Data Science
04:23:14 PostgreSQL
06:31:00 SQL Server
08:10:30 Introduction to SQLAlchemy
08:15:56 How to use SQLAlchemy with Python?
08:20:32 SQL Interview Questions and Answers
09:11:32 SQL Server Interview Questions and Answers


🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py
📢📢 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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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌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/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

Please write back to us at [email protected] or call us at IND: 9606058406 / US: +18885487823 (toll-free) for more information.

Generative AI
8 Views · 7 months ago

The KL divergence of distributions P and Q is a measure of how similar P and Q are.
However, the KL Divergence of P and Q is not the same as the KL Divergence of Q and P.
Why?
Learn the intuition behind this in this friendly video.

More about the KL Divergence formula:
https://www.youtube.com/watch?v=sjgZxuCm_8Q

Generative AI
4 Views · 5 months ago

Improve your AI skills with the FREE Prompting QuickStart Guide I made in collaboration with Hubspot: https://clickhubspot.com/1gg9

Want to get ahead in your career using AI? Join the waitlist for my AI Agent Bootcamp: https://www.lonelyoctopus.com/ai-agent-bootcamp

🤝 Business Inquiries: https://tally.so/r/mRDV99

🖱️Links mentioned in video
========================

A few notebooks to try out from crewAI & Autogen that are easy to follow and get started. All credit goes to these companies and Deep Learning AI. Please make a copy:

https://drive.google.com/file/....d/1mtv-gdKV9HMsGvGIq

https://drive.google.com/file/....d/1u9gGPqWSJ4_Pa_cLN

https://drive.google.com/file/....d/1T07WHydxBN-T-kcgi

https://drive.google.com/file/....d/1vPWpYvcHPROMC3BOE

Resources I consulted in making this video:

crewAI course: https://www.deeplearning.ai/sh....ort-courses/multi-ai

Autogen course: https://www.deeplearning.ai/sh....ort-courses/ai-agent

LangGraph course: https://www.deeplearning.ai/sh....ort-courses/ai-agent

David Ondrej n8n tutorial: https://youtu.be/XVO3zsHdvio?si=AQcMnYn8kJOogqLr

Andrew Ng Snowflake agentic design patterns: https://youtu.be/KrRD7r7y7NY?si=tFtd6wJKB6idtfKb

Andrew Ng Sequoia agentic design patterns: https://youtu.be/sal78ACtGTc?si=2i8Wyy57n8m6TbBK

YC business advice: https://youtu.be/ASABxNenD_U?si=k19a310Tj3USuKNe

🐙 Lonely Octopus: https://www.lonelyoctopus.com/
Check it out if you're interested in learning AI & data skill, then applying them to real freelance projects!

🔗Affiliates
========================
My SQL for data science interviews course (10 full interviews):
https://365datascience.com/lea....rn-sql-for-data-scie

365 Data Science:
https://365datascience.pxf.io/WD0za3 (link for 57% discount for their complete data science training)

Check out StrataScratch for data science interview prep:
https://stratascratch.com/?via=tina

🎥 My filming setup
========================
📷 camera: https://amzn.to/3LHbi7N
🎤 mic: https://amzn.to/3LqoFJb
🔭 tripod: https://amzn.to/3DkjGHe
💡 lights: https://amzn.to/3LmOhqk

⏰Timestamps
========================
00:00 — Intro
00:38 — Video overview
01:13 — AI agents definition
03:45 — Agentic design patterns
09:24 — Multi-agent design patterns
17:04 — Building a no code agent in n8n
19:46 — Ways to use AI agents
21:05 — Quiz

📲Socials
========================
instagram: https://www.instagram.com/hellotinah/
linkedin: https://www.linkedin.com/in/tinaw-h/
discord: https://discord.gg/5mMAtprshX

🎥Other videos you might be interested in
========================
How I consistently study with a full time job:
https://www.youtube.com/watch?v=INymz5VwLmk

How I would learn to code (if I could start over):
https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s

🐈‍⬛🐈‍⬛About me
========================
Hi, my name is Tina and I'm an ex-Meta data scientist turned internet person!

📧Contact
========================
youtube: youtube comments are by far the best way to get a response from me!
linkedin: https://www.linkedin.com/in/tinaw-h/
email for business inquiries only: [email protected]

========================
Some links are affiliate links and I may receive a small portion of sales price at no cost to you. I really appreciate your support in helping improve this channel! :)

Generative AI
6 Views · 5 months ago

A brief introduction into the concepts behind deep learning.

Github repo:
https://github.com/mlberkeley/intro-dl-workshop




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