🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 : https://www.edureka.co/digital-marketing (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka "Digital Marketing Career" video will help be your guide to build a career in Digital Marketing.

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🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐆𝐨𝐨𝐠𝐥𝐞 𝐂𝐥𝐨𝐮𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠: https://www.edureka.co/google-....cloud-architect-cert (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"
This Edureka video on '𝐆𝐨𝐨𝐠𝐥𝐞 𝐀𝐩𝐩 𝐄𝐧𝐠𝐢𝐧𝐞' will give you an introduction to Google App Engine and will help you understand various important concepts that concern Google App Engine with practical implementation. Following pointers are covered in this Google App Engine Tutorial:
00:00:00 What is an App Engine?
00:01:20 Google Cloud Platform (GCP)
00:02:27 Overview of Google App Engine (GAE)
00:03:51 Key Features of Google App Engine
00:04:49 Architecture of Google App Engine
00:05:43 Google App Engine Development Cycle
00:06:13 Components of an Application
00:08:40 Implementing an app through Google App Engine

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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

🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8

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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...


▀▀▀
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

▀▀▀
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

▀▀▀
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.tv/
❓Comentarios o sugerencias de traducción: [email protected]

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#veritasiumenespañol

🔥Business Analyst Masters Program (Discount Coupon - YTBE15):https://www.simplilearn.com/business-analyst-certification-training-course?utm_campaign=23AugustTubebuddyExpBA&utm_medium=DescriptionFF&utm_source=youtube

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This Business Intelligence Tutorial For Beginnersby Simplilearn will take you through the core concept of what is business intelligence. In this video, you will understand the process of business intelligence along with the applications and tools used for business intelligence. In addition, you will also know about the process involved in business intelligence.

Below are the topics we have covered in this business intelligence tutorial for beginners.
00:00 What is Business Intelligence?
02:23 Introduction to Business Intelligence
02:42 Steps Involved In Business Intelligence
06:07 Applications Of Business Intelligence
07:42 Tools for Business Intelligence

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Business Intelligence, often referred to as BI, is the process of collecting, analyzing, and transforming raw data into actionable insights for business purposes. It helps organizations make informed decisions, enhance performance, and gain a competitive edge in today's dynamic marketplace.

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A few years ago Veritasium posted a video portraying 'molecular machines'. But is that really the right way to think about the inner workings of our cells? Are we all just running on molecular clockwork?

Dan's paper (must read!): https://philpapers.org/archive/NICITC.pdf

Twitter: https://twitter.com/subanima_
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SOURCES + FURTHER READING:
https://www.subanima.org/veritasium/

CORRECTIONS:

6:11 - I should have said “parts of the ribosome” (certain ribosomal proteins) moonlight in the nucleus not the whole ribosome itself.

#veritasium #cell

🔥Machine Learning Training with Python: https://www.edureka.co/machine....-learning-certificat
This Edureka video on 'Mathematics for Machine Learning' teaches you all the math needed to get started with mastering Machine Learning. It teaches you all the necessary topics and concepts of Linear Algebra, Multivariate Calculus, Statistics, and Probability and also dives into the actual implementation of these topics.

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#edureka #machinelearningedureka #MathematicsforMachineLearning #MachineLearning #MachineLearningTraining #learnMachineLearning #withme

About the Course :

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide 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 python programming language. Furthermore, you will be taught of 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 the course we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.
--------------------------------------
Why Learn Machine Learning with Python?

Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.
--------------------------------------------
Who should go for this Course?

Edureka’s Python Machine Learning Certification Course is a good fit for the below professionals:
Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'Python' professionals who want to design automatic predictive models
--------------------------------
Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).

🔥 Edureka Azure Training - https://www.edureka.co/microso....ft-certified-azure-s
This Edureka "Azure Machine Learning” tutorial will give you a thorough and insightful overview of Microsoft Azure ML Studio and also help you understand the fundamentals of machine learning.


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Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
SlideShare: https://www.slideshare.net/EdurekaIN
Meetup: https://www.meetup.com/edureka/

#edureka #azureedureka #azuremachinelearning #microsoftazure #microsoftazureml #azuremlstudio #azuretraining #azureforbeginners
- - - - - - - - - - - - - -

How it Works?

1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project
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. You will get Lifetime Access to the recordings in the LMS.
4. 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

Microsoft Azure Certification training from edureka will introduce you to the fundamental concepts of Microsoft Azure platform and services offered. This course offers you the opportunity to take an existing ASP.NET MVC application and expand its functionality by moving it to Azure Cloud and also focuses on the considerations necessary when building a highly available solution in the cloud.

This Microsoft Cloud training will prepare you for the 70-532: Developing Microsoft Azure Solutions certification exam. You can check the examination details and certification cost at Microsoft Azure 70-532 Exam


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

Why Learn Azure?

Edureka's Azure Certification training helps you conceptualize the Microsoft Azure fundamentals and services provided on its platform. You will learn to configure and deploy Web applications and also master the creation and deployment of Azure Web apps. You will learn to create and configure Azure Virtual machines and will able to create and manage storage account, while handling blobs and containers present in it. This Azure Cloud training helps you master the SQL Database instance and the implications of importing a SQL standalone database. You will learn about the integrals of Azure Ad (Active Directory) instance and also learn to create a virtual network and implement a point-to-site network.

On completion of the Azure Certification training learner will be able to:

1. Compare the services available in the Azure platform
2. Configure and deploy Web Applications
3. Design and implement Azure PaaS compute and Web and Mobile Services
4. Create and Configure Azure Virtual Machines
5. Create and Manage a Storage account
6. Manage blobs and containers in a Storage account
7. Create, Configure and Connect to a SQL Database instance
8. Identify the implications of importing a SQL standalone database
9. Manage users, groups and subscriptions in an Azure Active Directory instance
10. Create a Virtual Network
11. Implement a point-to-site network

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

Who should go for this course?

It is designed for the IT professionals who want to pursue a career in Cloud Computing and become Microsoft Azure Developer Specialist. This Azure course is a best fit for:

1. IT Professionals
2. Application Developers
3. .Net Developers
4. Solutions Architects
5. DevOps Engineers
6. Professionals who want Project Experience in migrating and deploying Azure solutions
7. Professionals who wants to learn designing, programming, implementing, automating and monitoring Microsoft Azure solutions
8. Professionals who wants to become proficient with development tools, techniques and approaches used to build scalable and resilient Azure solutions.

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

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🔥Caltech - AI & Machine Learning Bootcamp (US Only) - https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=RZeiTLzy5VE&utm_medium=DescriptionFirstFold&utm_source=Youtube


In this video on PaLM 2 - Google's Next Generation Large Language Model,we will cover what is PaLM 2, what it can do, How was it built, and what's the next step. PaLM 2 is a cutting-edge large language model, which continues the tradition of Google's pioneering research in machine learning and responsible AI. Discover its development process and how it empowers generative AI capabilities and tools at Google, including Bard and the PaLM API.

below are the topics covered in this What is PaLM 2 video:

00:00 PaLM 2
01:50 Agenda
02:08 What is PaLM 2?
03:25 What can you do?
05:09 How was it built
06:10 What's Next?

PaLM 2 represents the latest iteration of a large language model developed by Google, building upon their extensive research in machine learning and responsible AI. It surpasses the capabilities of previous models, including PaLM, by demonstrating exceptional performance in various complex reasoning tasks such as code and math processing, classification, question answering, translation, multilingual proficiency, and natural language generation.

The advancements in PaLM 2 can be attributed to a combination of factors. Firstly, it leverages compute-optimal scaling, enabling efficient utilization of computational resources. Secondly, it benefits from an enhanced dataset mixture, incorporating diverse and comprehensive data sources. Lastly, improvements in model architecture contribute to its impressive performance.

PaLM 2's influence extends beyond its standalone use, as it serves as a foundation for other cutting-edge models like Med-PaLM 2 and Sec-PaLM. Moreover, it powers generative AI features and tools at Google, such as Bard.

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#PaLM2 #Bard #GoogleAI #WhatisPalm2 #AI #ML #ArtificialIntelligence #MachineLearning #Simplilearn

➡️ About Caltech Post Graduate Program In AI And Machine Learning

Designed to boost your career as an AI and ML professional, this program showcases Caltech CTME's excellence and IBM's industry prowess. The artificial intelligence course covers key concepts like Statistics, Data Science with Python, Machine Learning, Deep Learning, NLP, and Reinforcement Learning through an interactive learning model with live sessions.

✅ Key Features

- Simplilearn's JobAssist helps you get noticed by top hiring companies
- PGP AI & ML completion certificate from Caltech CTME
- Masterclasses delivered by distinguished Caltech faculty and IBM experts
- Caltech CTME Circle Membership
- Earn up to 22 CEUs from Caltech CTME
- 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 Twitter, Mercedes Benz, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
- 8X higher interaction in live online classes by industry experts

✅ Skills Covered

- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- Recommendation Systems
- NLP
- Neural Networks
- GANs
- Deep Learning
- Reinforcement Learning
- Speech Recognition
- Ensemble Learning
- Computer Vision

✅ Enroll Now: https://www.simplilearn.com/artificial-intelligence-masters-program-training-course?utm_campaign=20July2023PaLM2&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=20July2023PaLM2&utm_medium=Description&utm_source=youtube

🔥Data Scientist Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/big-data-and-analytics/senior-data-scientist-masters-program-training?utm_campaign=DWBSM47aLY8&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IITK - Professional Certificate Course in Data Science (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-data-science?utm_campaign=DWBSM47aLY8&utm_medium=DescriptionFirstFold&utm_source=Youtube
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🔥Data Scientist Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/big-data-and-analytics/senior-data-scientist-masters-program-training?utm_campaign=DWBSM47aLY8&utm_medium=DescriptionFirstFold&utm_source=Youtube
In this video, we're going to dive into the details of three popular ways to store data: databases, data lakes, and data warehouses. These terms are often thrown around in the tech world, especially during job interviews, so it's important to know what each one means and how they differ. We'll start off by explaining what each of these data storage options is and highlight their main features. Next, we'll look at the advantages and disadvantages of using each type of storage solution, helping you understand when and why you might choose one over the others. We will also compare how each system handles data. This includes discussing how they manage various forms of data, from well-organized structured data to more flexible semi-structured data and even unstructured data, which can be more complex to organize. After that, we'll go over some typical uses for databases, data lakes, and data warehouses, sharing examples to show how each is applied in real-life situations. By the end of this video, you'll have a solid grasp of the key differences between a database, a data lake, and a data warehouse. This knowledge will not only boost your understanding but also prepare you to discuss these topics confidently in job interviews.

00:00:00 - Introduction to Data Storage
00:01:58 - What is a Database?
00:03:37 - What is a Data Warehouse?
00:05:29 - What is a Data Lake?
00:07:14 - A Quick Recap
00:09:32 - Factors to Consider to Choose the Right Platform

You can also go through the slides here: https://www.slideshare.net/sli....deshow/database-vs-d

✅ Is BigQuery a data lake or data warehouse?

BigQuery is a data warehouse. It is a fully managed, serverless, highly scalable, and cost-effective multi-cloud data warehouse offered by Google Cloud. BigQuery is designed for analyzing large datasets quickly and efficiently using SQL queries.

✅ Is data lake SQL or NoSQL?

A data lake itself is neither SQL nor NoSQL; rather, it is a storage repository designed to hold large amounts of raw data in its native format, including structured, semi-structured, and unstructured data. The type of data stored in a data lake can vary, and both SQL and NoSQL databases can be part of a data lake ecosystem.

✅ Does data lake use ETL?

Yes, data lakes use ETL (Extract, Transform, Load) processes, but they can also use ELT (Extract, Load, Transform) processes.

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

#Database #DataLake #DataWarehouse #CloudComputing #2024 #simplilearn

➡️ About AWS Cloud Practitioner Course
AWS Cloud Practitioner course is for individuals seeking an overall understanding of Amazon Web Services Cloud, independent of specific technical roles. To build AWS Cloud knowledge, you will learn about AWS Cloud concepts, services, security, architecture and support. This course also helps prepare for the AWS Certified Cloud Practitioner exam.providers: Microsoft Azure, AWS, and GCP.

✅ Key Features
- Official AWS live class training content
- Self-paced learning videos authored by AWS
- Live online training from AWS Authorized Instructors
- 1-day Instructor-Led Training Course for accelerated learning

✅ Skills Covered
- AWS Cloud Adoption Framework
- AWS Global Infrastructure
- AWS data migration solutions
- Storage and databases
- AWS IAM security levels
- AWS Compute Services
- Amazon Cloud
- Front and Edge locations
- Networking concepts
- Payasyougo pricing model
- AWS pricing models and support

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🔥Caltech - AI & Machine Learning Bootcamp (US Only) - https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=6WmtIaIX-bQ&utm_medium=Lives&utm_source=Youtube

This Introduction to Artificial Intelligence Full Course by Simplilearn provides a complete roadmap to mastering AI. It begins with an introduction to artificial intelligence, its future, and essential concepts like machine learning, deep learning, and generative AI. You’ll explore AI careers, the AI engineer roadmap, and how to land a job in this field. Dive into practical tutorials on using AI for coding, creating digital products, and building websites. Advanced topics include transformers, reinforcement learning, Q-learning, and LangChain. You’ll learn about AI bias, multimodal AI, and concepts like LLMs, benchmarking, and running models privately. The course also covers prompt engineering, data analytics with AI, and AI-powered tools like Cursor AI. Additionally, you’ll get hands-on with projects for beginners, including machine learning and AI, and explore top hackathons in India. Finally, you’ll gain insights into interview preparation and how to earn money using tools like ChatGPT.

00:00:00 Introduction To Artificial Intelligence Full Course
00:08:08 Introduction To Artificial Intelligence
00:17:14 Future Of Artificial Intelligence
00:24:13 Deep Learning Tutorial For Beginners
00:36:17 Best Artificial Intelligence Coding tools
00:45:55 Top 10 Technologies To Learn
00:52:37 Artificial Intelligence Careers Tutorial
01:04:31 How Create And Sell Digital Products Using AI
01:05:16 What Is Generative AI
01:15:48 Artificial Intelligence Engineer Roadmap
01:30:53 How To Get A Job In Artificial Intelligence
02:27:30 What Is Machine Learning
02:33:11 AI Bias
02:38:53 Open AI Strawberry
02:45:04 Difference between Artificial Intelligence, Machine Learning, And Deep Learning
02:46:11 Run Lama Privately
02:54:55 Introduction To LLM
03:08:24 LLM Benchmarkeing
03:14:01 Mutimodel Artificial Intelligence
03:33:52 Chatgpt Analyse Tutorial
03:34:53 Transformers In Artificial Intelligence
06:59:07 Reinforcement Learning
06:59:57 Q Learning
07:22:58 Langchain Explained
07:37:26 What Is Prompt Engineering
07:59:49 Data Analytics Using Artificial Intelligence
08:01:31 Cursor AI
10:17:41 Recurrent Neural Network
10:35:26 Machine Learning Projects For Beginners
11:01:07 Build Website With Artificial Intelligence
11:19:18 Confusion Matrix In Machine Learning
11:27:32 Top Hackathons In india
11:40:51 Artificial Intelligence Projects With Source Code For Beginers
11:46:00 Generative AI Tools For Job Interview
13:41:50 Artificial Intelligence and Deep learning Interview Questions
13:42:50 How To Earn Money Using ChatGPT

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⏩ Check out the Artificial Intelligence tutorial videos: https://www.youtube.com/watch?v=ad79nYk2keg&list=PLEiEAq2VkUULyr_ftxpHB6DumOq1Zz2hq

https://www.reddit.com/r/Simpl....iLearn/comments/1bpr

#ArtificialIntelligenceFullCourse #AIFullCourse #AIAndMLFullCourse #MachineLearning #AIAndMachineLearning #ArtificialIntelligenceFullCourse #MachineLearningFullCourse #Simplilearn

➡️ About Post Graduate Program In AI And Machine Learning

✅ 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 Job Assist helps you get noticed by top hiring companies

👉Learn more at- https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=6WmtIaIX-bQ&utm_medium=Lives&utm_source=Youtube

Blue - Yung Kai💗Best OPM Tagalog Love Songs With Lyrics💗OPM Trending 2024 Playlist #vol1 #opmsongs
👉https://youtu.be/tqv99O4qixQ

Tracklist:
[00:00:00] 01. Blue - Yung Kai
[00:03:17] 02. Sining - Dionela ft. Jay R
[00:06:06] 03. Palagi - TJxKZ Version
[00:10:04] 04. I Need You - Arthur Miguel
[00:12:53] 05. Maybe This Time - Sarah Geronimo
[00:16:13] 06. Dilaw - Maki
[00:19:43] 07. Randomantic - James Reid
[00:23:24] 08. This Na Malambing - Ryannah J, Nateman
[00:27:45] 09. Oksihina - Dionela
[00:31:13] 10. Raining in Manila - Lola Amour
[00:34:23] 11. Tadhana - KZ Tandingan
[00:37:21] 12. Muli - Ace Banzuelo
[00:40:21] 13. Mahal Pa Rin Kita - Rockstar
[00:46:01] 14. Kung San Ka Masaya - Bandang Lapis
[00:50:27] 15. Umaasa - Calein
[00:53:18] 16. Babaero - gins&melodies Ft. Hew Abi
[00:56:03] 17. Nang Dumating Ka - Bandang Lapis
[01:02:05] 18. Huling Sandali - December Avenue
[01:07:43] 19. Unang Sayaw - Nobita
[01:10:53] 20. Biyahe - Josh Santana

Welcome to my channel!

On this channel, you'll find a compilation of the most popular and in-demand tracks that are taking the Philippines by storm.

Stay tuned for regular updates as I keep a close eye on the latest trends and releases, ensuring that you never miss out on the hottest songs and artists.

If you're a music lover who wants to stay ahead of the curve and discover the next big hit, you've come to the right place. Don't forget to hit that subscribe button and join our community of passionate music enthusiasts. Get ready to groove and enjoy the best of trending music on YouTube Philippines!

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In this video, Top 10 No-Code App Builders in 2025, we explore the best platforms that let you create apps without writing any code. No-code tools have become more powerful, allowing anyone—from beginners to businesses—to build mobile and web apps easily. We’ll start by explaining how no-code platforms work, from setting up a database to designing your app and automating workflows. Then, we’ll dive into the top 10 no-code app builders, including Softr, Bubble, Glide, Adalo, and more. Some platforms are great for beginners, while others offer advanced features to build full-scale applications. Whether you want to launch a simple project, create a business tool, or build a scalable app, this video will help you find the best platform. No-code is changing the way apps are built, making development faster and more accessible.

00:00:00 – Introduction
00:01:15 – Step 1: Creating a Database
00:01:30 – Step 2: Building the User Interface
00:01:45 – Step 3: Logic and Automation
00:01:48 – 1. Softr
00:07:14 – 2. Bubble
00:11:15 – 3. Glide
00:14:52 – 4. Adalo
00:16:52 – 5. Backendless
00:18:54 – 6. Quickbase
00:20:06 – 7. Zapier Interfaces
00:22:17 – 8. FlutterFlow + Firebase
00:24:34 – 9. WeWeb + Xano
00:26:20 – 10. Bravo Studio

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#generativeAI #AITools #NoCodeApp #AI #GenAI #ArtificialIntelligence #simplilearn #2025

➡️ About Professional Certificate Program in Generative AI and Machine Learning

Dive into the future of AI with our Generative AI & Machine Learning course, in collaboration with E&ICT Academy, IIT Guwahati. Learn tools like ChatGPT, OpenAI, Hugging Face, Python, and more. Join masterclasses led by IITG faculty, engage in hands-on projects, and earn Executive Alumni Status.

Key Features:
✅ Program completion certificate from E&ICT Academy, IIT Guwahati
✅ Curriculum delivered in live virtual classes by seasoned industry experts
✅ Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
✅ Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
✅ Eligibility for a campus immersion program organized at IIT Guwahati
✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
✅ Certificates for IBM courses and industry masterclasses by IBM experts
✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
✅ Access to a wide array of AI tools such as ChatGPT, Hugging Face, DALL-E 2, Midjourney and more
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered:
✅ Generative AI
✅ Prompt Engineering
✅ Chatbot Development
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Machine Learning Algorithms
✅ Speech Recognition
✅ Statistics

Learning Path:
✅ IITG AI: Program Induction
✅ IITG AI: Programming Fundamentals
✅ IITG AI: Python for Data Science (IBM)
✅ IITG AI: Applied Data Science with Python
✅ IITG AI: Machine Learning
✅ IITG AI: Deep Learning with TensorFlow (IBM)
✅ IITG AI: Deep Learning Specialization
✅ IITG AI: Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ IITG AI: Advanced Generative AI
✅ IITG AI: Capstone
Electives:
✅ IITG AI: ADL & Computer Vision
✅ IITG AI: NLP and Speech Recognition
✅ IITG AI: Reinforcement Learning
✅ IITG AI: Academic Masterclass
✅ IITG AI: Industry Masterclass

👉 Learn More At: https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=cCYYv93MSCQ&utm_medium=Description&utm_source=Youtube

Highlight: At 33:30 Josh Starmer, Statsquatch, and the Normalsaurus from @statquest have an awesome cameo!

Get 20% off NVIDIA certification exams using the code "TechWithTim20" from here: https://nvda.ws/46Sehq8

Today we're diving deep into one of the hottest topics in AI right now. Building actual agents in Python. Not just chat bots to respond to your queries, but autonomous systems with memory goals and the ability to take actions in the world.

Want to make real money with coding? I share high-signal insights on careers, monetization, and leverage in my free newsletter. Join here and get my guide How to Make Money With Coding instantly: https://techwithtim.net/newsletter

⏳ Timestamps ⏳
00:00 | AI Agents
00:37 | NVIDIA Free AI Courses
01:38 | AI Agent Building Blocks
05:30 | Python Frameworks
09:01 | Python Tools
09:40 | AI Agent Patterns
13:15 | Picking Your Stack

Hashtags
#Nvidia #AiAgents #Python

Welcome to the ultimate Claude Code Full Course! 🤯 In this video, we are building a fully autonomous AI Marketing Officer completely from scratch.

If you are looking for a Claude Code Crash Course for Beginners NOW, this is it. This Claude Code tutorial works as a complete Claude Code beginners guide, walking you through how to setup Claude Code in VS Code (Visual Studio Code). By the end of this video, you'll have a system where you can type one sentence, and Claude will research the topic, draft a week's worth of content (including visuals), and schedule it across your social media platforms.

This isn't just a coding tutorial; it’s a guide on how to use AI to have leverage and scale yourself. Whether you are wondering about Claude Code vs n8n for automation or just want to Master Claude Code in a few hours, this build-along guide covers it all.

In this deep-dive tutorial, we cover:

Claude Code Setup: Installing Claude Code, VS Code, and handling permissions safely.

Skills: Creating custom skills to generate posts from YouTube videos.

Brand Voice: Teaching the AI to write like you (or like Alex Hormozi/Justin Welsh).

Quality Gates: Using hooks to automatically check for bad formatting or banned words.

Sub-Agents: Running parallel agents to post to Twitter and LinkedIn simultaneously.

Claude Code Tips: Essential tricks from 500+ hours of usage.

Don't start your Claude Code course without watching this practical example of building a real-world tool using the Blotato API.


Timestamps

00:00 - Claude Code Full Course Intro & Demo
00:49 - Course Outline: Building an AI Marketing Officer
03:15 - How to Install Claude Code & VS Code Setup
06:34 - Managing Permissions & Safe Mode Prompts
09:24 - Claude Code Modes: Plan Mode vs. Edit Mode
11:23 - Managing Context Windows & Models (Opus 4.6)
13:09 - Building Skill #1: The Social Media 'Post' Skill
16:46 - Integrating the Blotato API for Visuals
24:00 - Testing the Post Skill with a YouTube Video
27:10 - Debugging Live: Handling API Errors
30:39 - Generating Content from Perplexity Search
32:35 - Adding Brand Voice (Alex Hormozi & Justin Welsh Styles)
36:51 - Setting up Quality Gates & Hooks (Validating Posts)
42:19 - Creating Sub-Agents for Cross-Platform Publishing
45:08 - Testing Parallel Publishing (Twitter & LinkedIn)
49:57 - Building Skill #2: The 'Plan Week' Automation
53:38 - Setting up Scheduling Slots for Batch Content
59:00 - Analyzing a 2-Hour Video for Content Angles
01:02:00 - Reviewing the Full Weekly Content Plan
01:07:54 - Creating the CLAUDE.MD Documentation File
01:11:36 - Next Steps & Repurposing this Tool

#ClaudeCode #AIAutomation #n8n
--

I'm Sabrina Ramonov. I'm on a mission to teach 1 million people AI. I'm also the solo founder of Blotato.com. It's a SaaS app for creators/entrepreneurs to go viral faster with AI, just like me (0 to 500k+ in 6 months solo).

How I got here…

0: Born in Quezon City, Philippines 🇵🇭
22 yrs old: Graduated UC Berkeley with degrees in Computer Science and Physics... and $250k in student loans.
23 yrs old: Started Qurious, as Founder/CEO, doing natural language processing (AI) in healthcare.
25 yrs old: Closed pilots with billion-dollar pharmaceutical companies, but failed to reach product market fit.
26 yrs old: Pivoted Qurious a lot, then settled on real-time call guidance for sales and customer support, combining streaming speech recognition (AI) and natural language processing (AI).
28 yrs old: Made the Forbes 30 Under 30 list, while living in a living room of 2BR San Francisco apartment.
30 yrs old: Sold 100% of Qurious to Pegasystems (NASDAQ: Pega) in cash and stock deal ($10M+ total).
31 yrs old: Integrated Qurious with Pegasystems Customer Service to launch Pega Voice AI, now used by 1000s of support agents.
32 yrs old: Started angel investing in VC/seed funds, crypto, and passion areas 🍄 while recovering from burnout by hiking, skiing, and reading. Dropped 50 lbs to get back in shape.
33 yrs old: Started making free content to teach 1 million people AI.
34 yrs old: 0 to 500k+ followers in 6 months with $0 budget, 0 team, $0 paid ads, 0 masterminds.

Today: Started https://Blotato.com to distribute 100+ pieces of content per week. 1000s of creators & entrepreneurs use Blotato to go viral faster with AI.

Get FREE AI prompts, playbooks, and agents 👉 https://sabrina.dev/p/free

📢 Access top AI models and creators like Anthropic’s Claude, OpenAI’s GPT, Meta’s Llama, DeepSeek, Moonshot AI’s Kimi, plus image generation with Black Forest Labs (Flux) and Recraft — all in one place with Mammouth starting at just $10/month: https://mammouth.ai

Anthropic is back with massive upgrades to Claude Code! From Claude Code Security to Claude Engineer and built-in git worktree support, this update takes AI-assisted development to the next level.

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Sponsor a Video or Do a Demo of Your Product, Contact me: [email protected]
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[Must Watch]:
Gemini 3.1 Pro Is Google's Greatest Model Ever! Most Powerful AI EVER! (Fully Tested): https://youtu.be/_uQKI-NOCFg
Claude Code + Figma MCP Is The Greatest AI Design System I've Ever Used!: https://youtu.be/mBJNfze9H0I
Claude Sonnet 4.6: The Best AI Coding Model Ever! 1M Context, Cheap, & More! (Fully Tested): https://youtu.be/enoBTzLziEs

📌 LINKS & RESOURCES
Claude Code Desktop: https://claude.com/download
Claude Code Secruity: https://www.anthropic.com/news..../claude-code-securit
Waitlist: https://claude.com/contact-sales/security
Boris Thread On Worktrees: https://x.com/bcherny/status/2025007393290272904

In this video, we dive into:
Claude Code Desktop Preview – Spin up apps, iterate, and preview running servers in real time
PR & CI Monitoring – Auto-fix failures, auto-merge PRs, and keep working on your next task while Claude handles the last one
Session Mobility – Move CLI sessions to desktop, cloud, web, or mobile
Claude Code Security – Scan for vulnerabilities, suggest patches, and review fixes with human oversight
Git Worktree Support – Run multiple agents in parallel without interference

Anthropic is clearly reshaping software engineering, automating complex tasks, and helping developers work smarter, faster, and safer. Don’t miss this deep dive into everything new!

Tags/Keywords:
Claude Code, Claude Code Desktop, Claude Code Security, Claude Engineer, Anthropic AI, AI coding assistant, AI software engineer, PR monitoring, CI automation, frontend development AI, git worktree, session mobility, code review AI, AI dev tools, Opus 4.6, AI cybersecurity, code vulnerability scanner

Hashtags:
#ClaudeCode #AnthropicAI #AICoding #SoftwareEngineering #CodeSecurity #AIEngineer #GitWorktree #CI #DevTools #AIProductivity

MIT 15.773 Hands-On Deep Learning Spring 2024
Instructor: Rama Ramakrishnan
View the complete course: https://ocw.mit.edu/courses/15....-773-hands-on-deep-l
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

Introduction to natural language processing, including vectorization, the bag-of-words model, and includes demonstration in CoLab.

License: Creative Commons BY-NC-SAMore information at https://ocw.mit.edu/termsMore courses at https://ocw.mit.eduSupport OCW at http://ow.ly/a1If50zVRlQ

We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.

Lets Make a Question Answering chatbot using the bleeding edge in deep learning (Dynamic Memory Network). We'll go over different chatbot methodologies, then dive into how memory networks work, with accompanying code in Keras.

Code + Challenge for this video:
https://github.com/llSourcell/....How_to_make_a_chatbo

Nemanja's Winning Code:
https://github.com/Nemzy/langu....age-translation/blob

Vishal's Runner up code:
https://github.com/erilyth/Dee....pLearning-Challenges

Web app to run the code yourself:
https://ethancaballero.pythonanywhere.com

Please subscribe! And like. And comment. That's what keeps me going.

More Learning resources:
https://www.youtube.com/watch?v=FCtpHt6JEI8&t=643s
https://www.youtube.com/watch?v=Qf0BqEk5n3o&t=637s
https://yerevann.github.io/201....6/02/05/implementing
https://www.youtube.com/watch?v=2A5DKPA5lAw
http://www.wildml.com/2016/01/....attention-and-memory
https://github.com/domluna/memn2n

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