Deep Blue
Some words about the project. All animations were rendered in 24K HDR and downconverted to 8K HDR for the Planetarium. The footage is so sharp that the first time we observed our 8K TV playing back the footage, how hard was for the TV to solve all sharpness and resolution. Why 24K - 16K? Simply put after experimenting with 8K animations we found that rendering in higher resolutions and downconverting it back to 8K the picture looks better has more information and it looks sharper along with the HDR. Finally seeing the film on a big dome at the Planetarium in 24K - 8K is clearer than native 8K and the audiences are getting more immersed as a result.
The project took 3 months to render.

Credits

Produced by Gala Media
Directed by J.A.G
Narrated by Ravin Wong "RawVintage"
Animated by J.A.G
Edited by J.A.G
Music by Jennifer Athena Galatis

Soundtrack available
Spotify https://open.spotify.com/album..../4KqGdTFN3TdhSICvRuz
Apple Music https://music.apple.com/ca/alb....um/deep-blue-origina
AmazonHD (best-uncompressed sound) https://music.amazon.ca/albums..../B094DRFNR8?ref=dm_s

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This is my solution to lrCostFunction.m function in Programming assignment 3 from the famous Machine Learning course by Andrew Ng.

Github: https://github.com/AladdinPerz....on/Courses/tree/mast

Machine learning vs Artificial Intelligence vs Deep Learning

Python Core
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Video in English https://goo.gl/df7GXL
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Python Web application
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Technology in Tamil & English

Dale’s Blog → https://goo.gle/3xOeWoK
Classify text with BERT → https://goo.gle/3AUB431

Over the past five years, Transformers, a neural network architecture, have completely transformed state-of-the-art natural language processing. Want to translate text with machine learning? Curious how an ML model could write a poem or an op ed? Transformers can do it all. In this episode of Making with ML, Dale Markowitz explains what transformers are, how they work, and why they’re so impactful. Watch to learn how you can start using transformers in your app!

Chapters:
0:00 - Intro
0:51 - What are transformers?
3:18 - How do transformers work?
7:41 - How are transformers used?
8:35 - Getting started with transformers

Watch more episodes of Making with Machine Learning → https://goo.gle/2YysJRY

Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech

#MakingwithMachineLearning #MakingwithML

product: Cloud - General; fullname: Dale Markowitz; re_ty: Publish;

Easy natural language generation with Transformers and PyTorch. We apply OpenAI's GPT-2 model to generate text in just a few lines of Python code.

Language generation is one of those natural language tasks that can really produce an incredible feeling of awe at how far the fields of machine learning and artificial intelligence have come.

GPT-1, 2, and 3 are OpenAI’s top language models — well known for their ability to produce incredibly natural, coherent, and genuinely interesting language.

In this article, we will take a small snippet of text and learn how to feed that into a pre-trained GPT-2 model using PyTorch and Transformers to produce high-quality language generation in just eight lines of code. We cover:

PyTorch and Transformers
- Data
Building the Model
- Initialization
- Tokenization
- Generation
- Decoding
Results

🤖 70% Discount on the NLP With Transformers in Python course:
https://bit.ly/3DFvvY5

Medium Article:
https://towardsdatascience.com..../text-generation-wit

Friend Link (free access):
https://towardsdatascience.com..../text-generation-wit?sk=930367d835f15abb4ef3164f7791e1b1

Thumbnail background by gustavo centurion on Unsplash
https://unsplash.com/photos/O6fs4ablxw8

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐭𝐡𝐨𝐧 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞 (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/python-....programming-certific
This Edureka "𝐏𝐲𝐭𝐡𝐨𝐧 𝐅𝐮𝐥𝐥 𝐂𝐨𝐮𝐫𝐬𝐞" video will help you learn the Python programming language and core python concepts with examples from scratch. This python tutorial for beginners is the best video to start learning python programming language with examples.

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🌕 Professional Certificate 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

🌕 Artificial and Machine Learning PGD with E&ICT Academy
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📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
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Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

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

🔥Edureka DevOps Training: https://www.edureka.co/devops-....certification-traini
This Edureka "Docker Compose Tutorial" will take you through the fundamentals of Docker Compose and its role in multi-container applications. You will learn what Docker and Docker compose is, the benefits of Docker compose, microservices, and how to write a compose file, basic commands of docker-compose, and finally, a demo on docker-compose where you set up and run a Django-based application using Docker-Compose.
The following are the topics covered in the tutorial:
00:00 Agenda
01:25 What is Docker?
05:35 Why Docker-Compose
10:45 What is Docker-Compose?
15:10 Docker-Compose Installation
19:45 Docker-Compose Hands-on
37:15 Summary

Code Files: https://drive.google.com/drive..../folders/1QcGbSpt21W

🔹Check our complete DevOps playlist here: http://goo.gl/O2vo13
🔹Check our Blog playlist here: https://bit.ly/3gfNuZr
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#Edureka #EdurekaDevOps #DockerComposeTutorial #DockerTutorial #DevOpsTraining #DevOpsTutorial
---------------------------------------------------
How it Works?
1. This is a 4 Week Instructor led Online Course.
2. Course consists of 24 hours of online classes, 25 hours of assignment, 20 hours of project
3. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
4. You will get Lifetime Access to the recordings in the LMS.
5. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate!

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

About the Course
Edureka’s DevOps online training is designed to help you master key tools of Devops lifecycle like Docker, Puppet, Jenkins, Nagios, GIT, Ansible, SaltStack and Chef used by a DevOps Engineer for automating multiple steps in SDLC. During this course, our expert DevOps instructors will help you:

1. Understand the concepts and necessities of DevOps
2. Understand the need for DevOps and the day-to-day real-life problems it resolves
3. Learn installation and configuration of common infrastructure servers like Apache, and Nginx for the Enterprise
4. Learn popular DevOps tools like Jenkins, Puppet, Chef, Ansible, SaltStack, Nagios and GIT
5. Implement automated system update, installations and deployments
6. Learn Virtualization Concepts
7. Configuration deployment and packaging, continuous integration using GIT
8. Fine tune Performance and set-up basic Security for Infrastructure
9. Manage server operations using Code which is popularly known as Infrastructure as a Code
10. Understand the need for and concepts of Monitoring and Logging.

Along with the above mentioned topics, to help you master the most popular DevOps tools, you will also receive 3 additional self-paced courses including presentations, class recordings, assignments, solutions for the following tools:

1: Ansible - Covers Introduction, Setup & Configuration, Ansible Playbooks, 37 Ansible Modules, Different Roles and Command Line usage. 2: Chef - Covers Introduction, Building the Cook Book, Node Object & Search, Data-bags, Chef environment, Roles, Deploying Nodes in Production and using the Open Source Chef Server.

3: Puppet - Covers Puppet Infrastructure & run-cycle, the Puppet Language, Environment defining Nodes and Modules, Provisioning a Web Server and Executing Modules Against A Puppet Master.

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

Who should go for this course?
DevOps practitioners are among the highest paid IT professionals today, and the market demand for them is growing rapidly. With emergence of new job roles around DevOps philosophy, anyone aspiring to get into these new roles, can take up this DevOps course. Some of these roles are:

1. DevOps Architect
2. Automation Engineer
3. Software Tester
4. Security Engineer
5. Integration Specialist
6. Release Manager

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

Project Work
1. Host a dummy webpage using Apache Web Server.
2. Write shell script which reports:
a) Various system configurations related to the user and the OS.
b) Data related to load on the server.
c) Top 5 processes with maximum number of threads.
d) Sort the services by memory
3. Install Nagios on a VM node for monitoring the various parameter of the VM.

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

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠: https://www.edureka.co/python-....programming-certific (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka video on Tkinter tutorial covers all the basic aspects of creating and making use of your own simple Graphical User Interface (GUI) using Python. It establishes all of the concepts needed to get started with building your own user interfaces while coding in Python.
00:00:00 Introduction
00:00:32 Agenda
00:01:00 What Is A GUI?
00:01:47 Why We Need GUI?
00:02:07 Python Libraries For GUI
00:03:03 Introduction to Tkinter
00:03:45 First Window Using Tkinter
00:05:12 Adding Widgets To Our Application
00:06:16 Label Widget
00:08:23 Entry Widget
00:09:07 Combobox Widget
00:09:51 Checkbutton Widget
00:10:59 Radio Button Widget
00:11:34 Scrolled Text Widget
00:12:04 MessageBox Widget
00:12:49 SpinBox Widget
00:13:48 Geometry Management
00:14:48 Organizing Layout And Widgets
00:18:52 Binding Functions
00:20:12 Event Handling
00:22:53 Images & Icons
00:27:34 Conclusion

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📝Feel free to share your comments below.📝

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
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🌕 Microservices Online Training: http://bit.ly/3gxYqqv
🔵 Data Science Online Training: http://bit.ly/3V3nLrc
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🔵 Angular Online Training: http://bit.ly/3EYcCTe

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv
🌕 RPA Developer Masters Program: http://bit.ly/3OteYfP
🔵 Web Development Masters Program: http://bit.ly/3U9R5va
🌕 Computer Science Bootcamp Program : http://bit.ly/3UZxPBy
🔵 Cyber Security Masters Program: http://bit.ly/3U25rNR
🌕 Full Stack Developer Masters Program : http://bit.ly/3tWCE2S
🔵 Automation Testing Engineer Masters Program : http://bit.ly/3AGXg2J
🌕 Python Developer Masters Program : https://bit.ly/3EV6kDv
🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH

🔴 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


📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
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📌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: 18338555775 (toll-free) for more information.

🔥Professional Certificate Program In Data Engineering: https://www.simplilearn.com/pgp-data-engineering-certification-training-course?utm_campaign=BigData-bAyrObl7TYE&utm_medium=DescriptionFirstFold&utm_source=youtube

This video, "Big Data In 5 Minutes" by Simplilearn, will help you understand what is Big Data, the 5 V's of Big Data, why Hadoop came into existence, and what Hadoop is. You will also learn about the storage unit and processing unit of Hadoop and the implementation of Big Data through use cases. In the end, we will have a quiz on Hadoop. A massive amount of data that cannot be stored, processed, and analyzed using the traditional ways is known as Big Data. Hadoop is a framework that manages Big Data storage in a distributed way and processes it parallelly. Now, let's dive deep into this video and understand Big Data and Hadoop.

Below are the topics covered in this video.
00:00 Big Data In 5 Minutes
00:34 Data generated per minute
00:56 Classification of Big Data
02:00 How to store and process Big Data
03:11 Application of Big Data

🔥 Enroll for FREE Big Data Hadoop Spark Course & Get your Completion Certificate: https://www.simplilearn.com/learn-hadoop-spark-basics-skillup?utm_campaign=Skillup-BigData&utm_medium=Description&utm_source=youtube

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Don't forget to take the quiz at 04:03!

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To learn more about Hadoop, subscribe to our YouTube channel: https://www.youtube.com/user/S....implilearn?sub_confi

Watch more videos on HadoopTraining: https://www.youtube.com/watch?v=CKLzDWMsQGM&list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ

#WhatIsBigData #WhatIsHadoop #BigDataExplained #HadoopExplained #HadoopTraining #BigDataTraining #BigDataTutorial #HadoopTutorial #Simplilearn Big Data #SimplilearnHadoop #Simplilearn

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This Data Engineering course is ideal for professionals, covering critical topics like the Hadoop framework, Data Processing using Spark, Data Pipelines with Kafka, Big Data on AWS, and Azure cloud infrastructures. This program is delivered via live sessions, industry projects, masterclasses, IBM hackathons, and Ask Me Anything sessions.

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- Professional Certificate Program Certificate and Alumni Association membership
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✅ Skills Covered
- Real Time Data Processing
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- Big Data Analytics
- Data Visualization
- Provisioning data storage services
- Apache Hadoop
- Ingesting Streaming and Batch Data
- Transforming Data
- Implementing Security Requirements
- Data Protection
- Encryption Techniques
- Data Governance and Compliance Controls

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🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

In this Scrum Master full course, we will explain the most important concepts of the Scrum Methodology. Let's start the scrum training!
🔥Certified ScrumMaster® (CSM) Certification Training Course: https://www.simplilearn.com/agile-and-scrum/csm-certification-training?utm_campaign=CertifiedScrumMasterFullCourse-YqAZi5poCmo&utm_medium=Descriptionff&utm_source=youtube
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Certified Scrum Master Full Course covers what is scrum, the components of the scrum process, the role of a scrum master, the scrum methodology, how scrum meetings work, how scrum and kanban are different from one another, interview questions, and much more!

Below are the topics we will cover in this video:
00:00:00 What is Scrum
00:34:39 Agile Scrum Master Training
01:58:26 Scrum Master Role and methodology
02:20:40 Scrum Meeting
02:30:09 Scrum Vs. kanban
02:41:50 Scrum Interview Questions

🔥Free ASM Course: https://www.simplilearn.com/agile-scrum-master-basics-skillup?utm_campaign=CertifiedScrumMasterFullCourse&utm_medium=Description&utm_source=youtube

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#ScrumMasterCourse #CertifiedScrumMasterFullCourse #ScrumMasterertificationTraining #ScrumMasterTutorial #ScrumMasterTraining #ScrumMasterCertification #BecomeCertifiedScrumMaster #AgileScrumTraining #Simplilearn

➡️ Certified ScrumMaster® (CSM) Certification Training Course
This CSM certification course is focused on providing an improved understanding of Scrum methodologies and their implementation. It helps you become a Certified ScrumMaster®, a designation offered by Scrum Alliance to practitioners who have successfully completed a CSM certification course & demonstrate their understanding by passing the exam.

✅ Key Features
- 2 Days of Online Virtual Class
- CSM® exam fee included
- Get trained by globally acclaimed Certified Scrum Trainers (CSTs) with Free Exam Retake
- 20 PDUs and 16 SEUs
- Two-year membership in Scrum Alliance
- Complimentary access to 15 courses* worth INR 25,000

✅ Skills Covered
- Scrum and Agile methodologies
- Importance of Agile
- Scrum lifecycle
- Scrum terminologies
- Daily scrum and review
- Roles involved in Scrum
- Distributed Scrum

👉Learn More at: https://www.simplilearn.com/agile-and-scrum/csm-certification-training?utm_campaign=CertifiedScrumMasterFullCourse-YqAZi5poCmo&utm_medium=Description&utm_source=youtube

For more information about Simplilearn’s courses, visit:
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Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng lectures on expectation-maximization in the context of the mixture of Gaussian and naive Bayes models, as well as factor analysis and digression.

This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include supervised learning, unsupervised learning, learning theory, reinforcement learning and adaptive control. Recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing are also discussed.

Complete Playlist for the Course:
http://www.youtube.com/view_pl....ay_list?p=A89DCFA6AD

CS 229 Course Website:
http://www.stanford.edu/class/cs229/

Stanford University:
http://www.stanford.edu/

Stanford University Channel on YouTube:
http://www.youtube.com/stanford

Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. This program, driven by GPT-4, autonomously develops and manages businesses to increase net worth. As one of the first examples of GPT-4 running fully autonomously, Auto-GPT pushes the boundaries of what is possible with AI.

▼ Link(s) From Today’s Video:

✩ Auto-GPT: https://github.com/Torantulino/Auto-GPT

✩ Open AI API: https://openai.com/blog/openai-api

► MattVidPro Website: https://MattVidPro.com

► MattVidPro Discord: https://discord.gg/bQgcbjs2Sg

► Follow Me on Twitter: https://twitter.com/MattVidPro

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▼ Extra Links of Interest:

✩ AI LINKS MASTER LIST: https://www.futurepedia.io/

✩ Lemon Gallery: https://MattVidPro.com/Gallery

✩ General AI Playlist: https://www.youtube.com/playli....st?list=PLrfI66qWYbW

✩ AI I use to edit videos: https://www.descript.com/?lmref=nA4fDg

✩ Second Channel: https://www.youtube.com/channe....l/UC06GdmaEdCdCFwR3N

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00:00 - Introduction to Auto-GPT
02:09 - Setting up the Super Assistant AI
09:42 - Setting up the Private Investigator AI
14:38 - Creating an AI for Gardening YouTube Channel
17:30 - Outro

In this talk, we will cover the basics of Reinforcement Learning from Human Feedback (RLHF) and how this technology is being used to enable state-of-the-art ML tools like ChatGPT. Most of the talk will be an overview of the interconnected ML models and cover the basics of Natural Language Processing and RL that one needs to understand how RLHF is used on large language models. It will conclude with open question in RLHF.

RLHF Blogpost: https://huggingface.co/blog/rlhf
The Deep RL Course: https://hf.co/deep-rl-course
Slides from this talk: https://docs.google.com/presen....tation/d/1eI9PqRJTCF
Nathan Twitter: https://twitter.com/natolambert
Thomas Twitter: https://twitter.com/thomassimonini

Nathan Lambert is a Research Scientist at HuggingFace. He received his PhD from the University of California, Berkeley working at the intersection of machine learning and robotics. He was advised by Professor Kristofer Pister in the Berkeley Autonomous Microsystems Lab and Roberto Calandra at Meta AI Research. He was lucky to intern at Facebook AI and DeepMind during his Ph.D. Nathan was was awarded the UC Berkeley EECS Demetri Angelakos Memorial Achievement Award for Altruism for his efforts to better community norms.

*Note: 1+ Years of Work Experience Recommended to Sign up for Below Programs⬇️
🔥Post Graduate Program In Data Analytics: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=18August2023MSExcelCourse2023&utm_medium=DescriptionFF&utm_source=youtube
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This complete MS Excel course is a comprehensive guide to excel training for beginners to expert level.
Microsoft Excel transcends its spreadsheet origins to become an essential tool in diverse domains. It empowers professionals with data analysis and decision-making, aids students in learning data skills, and simplifies personal tasks like budgeting. In an interconnected world, Excel's versatility is crucial for informed choices and efficient workflows. Simplilearn offers a comprehensive Microsoft Excel course, curated by experts to match industry standards. It covers basics, advanced concepts, Excel VBA, data analysis, and visualization. Time series analysis of trending projects helps build a strong data analysis portfolio. The course also addresses common data analyst interview questions. This course will open the doors for various data enthusiasts.
00:00 MS excel course 2023
06:14 Demo inventory in excel
19:02 Lowercase to uppercase in excel
21:45 Add columns in excel
34:53 Rows to column in excel
36:28 Group rows in excel
38:13 Sorting in excel
41:58 Freeze panes in excel
49:43 Merge cells in excel
54:33 Count cells by colour in excel
56:03 Date format in excel
59:58 Calculate age in excel
01:01:53 Time difference calculation in excel
01:07:55 How to add excel in powerpoint
01:10:00 How to insert image in excel
01:13:35 How to insert PDF in excel
01:17:00 How to convert pdf to excel
01:21:57 How to insert tick in excel

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⏩ Check out the Data Analytics Training Videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUUKnB4

#ExcelCourse #CompleteExcelCourse #AdvancedExcelTutorial #ExcelTraining #MSExcel #ExcelForBeginners #ExcelFullCourse #LearnExcel #2023 #Simplilearn

➡️ Data Analytics Bootcamp
The Caltech Data Analytics Bootcamp is ideal for working professionals from all backgrounds. Develop core skills such as mastering excel, creating data-driven presentations, data manipulation with SQL, analyzing data with Python, and data visualization with Tableau. Learn data analysis with tools such as AWS.

✅ Key features
- Simplilearn Career Service helps you get noticed by top hiring companies
- Data Analytics Bootcamp Certificate from Caltech CTME
- Caltech CTME Circle Membership
- Online Convocation by Caltech CTME Program Director
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✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analytics using Python
- Data Visualization with Tableau
- Linear and Logistic Regression
- Data Manipulation
- Data Analysis in AWS

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Learn to use Astro in this beginner's tutorial. Astro is an all-in-one web framework for building fast, content-focused websites like landing pages, blogs, technical documentation, and more.

✏️ This course was developed by @JamesQQuick
🔗 Longer Astro Course: https://astrocourse.dev/

💻 Code: https://github.com/jamesqquick/astro-course-demo

Astro Docs - https://docs.astro.build/
SSG vs SSR Diagram - https://app.eraser.io/workspac....e/CmsSg90ShrgnuACWRs

⌨️ (0:00:00) Intro
⌨️ (0:00:35) What We'll Cover
⌨️ (0:01:23) Creating an Astro Project
⌨️ (0:06:23) Astro Overview (components, file based routing, css, and more)
⌨️ (0:13:23) Astro Setup in VS Code
⌨️ (0:16:23) Setting Up Tailwind
⌨️ (0:18:23) Updating the Site Layout
⌨️ (0:27:23) Working with Markdown and Content Collections
⌨️ (0:34:23) Querying and Displaying Blog Posts Using Content Collections
⌨️ (0:40:23) Creating Dynamic Routes For Individual Blog Posts
⌨️ (0:46:38) Tailwind Typography Plugin
⌨️ (0:47:53) Optimizing Images
⌨️ (0:52:43) Using the ViewTransitions API
⌨️ (0:54:03) Adding Support for MDX
⌨️ (0:56:23) Deploy to Netlify and Vercel
⌨️ (0:59:23) Enabling SSR in Astro
⌨️ (1:08:53) Astro Server Endpoints
⌨️ (1:12:23) Deploying SSR to Netlify and Vercel
⌨️ (1:16:23) Wrap Up

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan
👾 Oscar Rahnama

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news

Prepare for JavaScript interview questions focusing on closures, functions, and currying. Throughout the course, you'll delve into various aspects of JavaScript, such as function declarations, expressions, scopes, and hoisting, as well as learning about advanced concepts like closures and lexical scope. You'll also gain a deeper understanding of currying and its practical applications in JavaScript.

Course created by @RoadsideCoder

Useful Links mentioned in the video -
🎥 var, let and const Video - https://www.youtube.com/watch?v=oUWRxJ19gfE&list=PLKhlp2qtUcSaCVJEt4ogEFs6I41pNnMU5
🎥 map, filter, and reduce Video - https://www.youtube.com/watch?v=dGq0gi0wv64&list=PLKhlp2qtUcSaCVJEt4ogEFs6I41pNnMU5&index=2
🎥 FE Interview Experience Video - https://www.youtube.com/watch?v=vxggZffOqek&list=PLKhlp2qtUcSb_WQZC3sq9Vw3NC4DbreUL&index=1

⭐️ Contents ⭐️
⌨️ (0:00:00) Intro
⌨️ (0:01:48) Function Declaration
⌨️ (0:02:13) Function Expression
⌨️ (0:02:34) Anonymous Function
⌨️ (0:03:25) First Class Functions
⌨️ (0:04:54) What is IIFE?
⌨️ (0:06:05) IIFE - Interview Question
⌨️ (0:06:59) Closures
⌨️ (0:07:27) Function Scopes
⌨️ (0:09:10) Function Scope - Interview Question
⌨️ (0:10:18) Hoisting in Functions
⌨️ (0:13:40) Hoisting - Interview Question
⌨️ (0:15:46) Params vs Arguments
⌨️ (0:16:25) Spread vs Rest Operators
⌨️ (0:17:43) Interview Question on params, args, spread, rest
⌨️ (0:19:03) Callback Function
⌨️ (0:20:02) Callback Function - Interview Questions
⌨️ (0:20:58) Arrow Functions
⌨️ (0:21:59) Arrow function vs Normal Function
⌨️ (0:25:13) Closures
⌨️ (0:25:50) What is Lexical Scope?
⌨️ (0:27:39) Lexical Scope - Interview Question
⌨️ (0:28:53) What is Closure?
⌨️ (0:29:44) Example of Closures
⌨️ (0:30:57) Why Closure?
⌨️ (0:32:20) Closure Scope Chain
⌨️ (0:35:13) Ques 1 - What will it print?
⌨️ (0:37:10) Ques 2 - Write a function for this
⌨️ (0:39:29) Ques 3 - Time Optimisation with Closures
⌨️ (0:42:08) Ques 4 - setTimeout + block scope with Closures
⌨️ (0:47:08) Ques 5 - Create a private counter
⌨️ (0:49:49) Ques 6 - What is Module Pattern?
⌨️ (0:51:40) Ques 7 - Make this run only once
⌨️ (0:54:18) Ques 8 - Once Polyfill Implementation
⌨️ (0:58:11) Ques 9 - Memoise/Caching Implementation
⌨️ (1:03:46) Ques 10 - Closure vs Scope
⌨️ (1:04:25) Currying
⌨️ (1:04:55) What is Curring in Javascript?
⌨️ (1:05:23) Example of Currying
⌨️ (1:08:17) Ques 1 - Implement sum(2)(6)(1)
⌨️ (1:11:02) Ques 2 - Reusing Variable for logic
⌨️ (1:14:09) Ques 3 - Infinite Currying
⌨️ (1:18:27) Ques 4 - Currying vs Partial Application
⌨️ (1:20:37) Ques 5 - Manipulating DOM
⌨️ (1:23:01) Ques 6 - curry() implementation

Learn how to use Vite, a build tool and development server designed specifically for modern web development. This course covers various topics, including creating a static server, using templates, integrating Tailwind, using environment variables, deploying to GitHub, Netlify, and Vercel, and configuring Vite. It also discusses the features of Vite, including hot module replacement and static asset handling.

✏️ Course created by @KhattakDev
YouTube: https://youtube.com/khattakdev
Twitter: https://twitter.com/khattakdev
Instagram: https://www.instagram.com/khattakdev

⭐️ Contents ⭐️
⌨️ (0:00:00) Start
⌨️ (0:00:22) Learning Objectives
⌨️ (0:01:29) Introduction
⌨️ (0:02:50) What makes it fast?
⌨️ (0:04:49) Creating Static Server
⌨️ (0:17:29) Using Templates
⌨️ (0:24:39) Tailwind Integration
⌨️ (0:32:30) Env Variables
⌨️ (0:40:58) Deployments
⌨️ (1:00:22) Configurations
⌨️ (1:30:35) Wrap Up

🎉 Thanks to our Champion and Sponsor supporters:
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Erdeniz Unvan
👾 Justin Hual
👾 Agustín Kussrow
👾 Otis Morgan

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news