🔥Microsoft PowerBI Certification (PL-300) - https://www.simplilearn.com/power-bi-certification-training-course?utm_campaign=PowerBI--_DJPRrFQXI&utm_medium=DescriptionFF&utm_source=youtube
🔥 Post Graduate Program In Data Science: https://www.simplilearn.com/post-graduate-program-data-science?utm_campaign=PowerBI--_DJPRrFQXI&utm_medium=DescriptionFF&utm_source=youtube
🔥IIT Kanpur Professional Certificate Course In Data Science (India Only): https://www.simplilearn.com/iitk-professional-certificate-course-data-science?utm_campaign=PowerBI--_DJPRrFQXI&utm_medium=DescriptionFF&utm_source=youtube
🔥 Data Science Bootcamp (US Only): https://www.simplilearn.com/post-graduate-program-data-science?utm_campaign=PowerBI--_DJPRrFQXI&utm_medium=DescriptionFF&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=PowerBI--_DJPRrFQXI&utm_medium=DescriptionFF&utm_source=youtube
🟡 Caltech AI & Machine Learning Bootcamp (For US Learners Only) - https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=PowerBI--_DJPRrFQXI&utm_medium=DescriptionFF&utm_source=youtube
This video on what is Power BI will help you learn why Power BI is important, the various features of Power BI, and the components of Power BI. Then, you will learn how the architecture of Power BI works and the Power BI service. You will get an idea about how to build dashboards in Power BI. Finally, you will learn how Meijer solved its business problems using Power BI and perform a demo using Power BI. Now, let's dive into learning Power BI in detail.

Below topics are explained in this Power BI tutorial:
0:00 Introduction
0:49 Why Power BI?
02:06 What is Power BI?
02:22 Features of Power BI
03:20 Components of Power BI
04:59 Power BI Service
06:15 Power BI Dashboard
06:50 Create and publish reports in Power BI Dashboard
07:22 Power BI Architecture
07:53 Power BI demo

🔥Free PowerBI Course: https://www.simplilearn.com/learn-power-bi-basics-free-course-skillup?utm_campaign=PowerBI&utm_medium=Description&utm_source=youtube

Below topics are explained in this Power BI tutorial:
1. Why Power BI? 00:45
2. What is Power BI? 01:57
3. Features of Power BI 02:18
4. Components of Power BI 03:15
5. Architecture of Power BI 07:22
6. Power BI Service 04:59
7. Power BI Dashboard 06:14
8. Power BI Case Study 07:53
9. Power BI Demo 08:59

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

To access the slides, click here: https://www.slideshare.net/Sim....plilearn/what-is-pow

Watch more videos on Power BI: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU

#WhatIsPowerBI #PowerBI #PowerBITutorial #PowerBITraining #PowerBISimplilearn #PoerBiIntroduction #PowerBIForBeginners #PowerBiTutorialForBeginners #Simplilearn

➡️ About Caltech Post Graduate Program In Data Science
This Post Graduation in Data Science leverages the superiority of Caltech's academic eminence. The Data Science program covers critical Data Science topics like Python programming, R programming, Machine Learning, Deep Learning, and Data Visualization tools through an interactive learning model with live sessions by global practitioners and practical labs.

✅ Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Caltech PG program in Data Science completion certificate
- Earn up to 14 CEUs from Caltech CTME
- Masterclasses delivered by distinguished Caltech faculty and IBM experts
- Caltech CTME Circle membership
- 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 Amazon, Walmart, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
- Simplilearn’s Career Assistance to help you get noticed by top hiring companies
- 8X higher interaction in live online classes by industry experts

✅ Skills Covered
- Exploratory Data Analysis
- Descriptive Statistics
- Inferential Statistics
- Model Building and Fine Tuning
- Supervised and Unsupervised Learning
- Ensemble Learning
- Deep Learning
- Data Visualization

👉 Learn More At: https://www.simplilearn.com/post-graduate-program-data-science?utm_campaign=PowerBI--_DJPRrFQXI&utm_medium=Description&utm_source=youtube
🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

🔥SQL Certification Course : https://www.simplilearn.com/sql?utm_campaign=23May2024WhatIsDBMS&utm_medium=DescriptionFF&utm_source=youtube
🔥IIT Kanpur Professional Certificate Course In Data Analytics (India Only): https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=23May2024WhatIsDBMS&utm_medium=DescriptionFF&utm_source=youtube
🔥Post Graduate Program In Data Analytics: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=23May2024WhatIsDBMS&utm_medium=DescriptionFF&utm_source=youtube
🔥Data Analyst Masters Program (Discount Code - YTBE15): https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=23May2024WhatIsDBMS&utm_medium=DescriptionFF&utm_source=youtube

Dive into the world of Database Management Systems (DBMS) with this easy-to-follow Introduction To DBMS tutorial! We'll explain what DBMS is and why it's important. Learn about different types of databases like Relational, NoSQL, Object-oriented, Hierarchical, and Network databases. Each type has unique features that make them useful for different tasks. We'll also cover basic DBMS concepts such as tables, rows, and columns, primary and foreign keys, and how indexes and queries work. Plus, find out about future trends like Big Data, distributed and cloud databases, and how machine learning is changing the way we manage data. This video uses simple language and clear visuals to make complex ideas easy to understand. Whether you're new to databases or just want to learn more, this tutorial is perfect for you. Watch now and start your journey to mastering DBMS!

In this Introduction To DBMS video, we cover the following topics:

00:00:06 Introduction
00:00:29 Introduction to Databases
00:01:58 What is DBMS?
00:03:28 Components of DBMS
00:04:55 Functions of DBMS
00:05:43 Advantages of Using DBMS
00:06:56 Types of DBMS
00:09:25 Common Use Cases of DBMS
00:11:09 Future Trends in DBMS

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

#SQL #DBMS #DatabaseManagementSystem #2024 #simplilearn

➡️ About SQL Certification Course
This SQL certification course gives you all of the information you need to successfully start working with SQL databases and make use of the database in your applications. Learn how to correctly structure your database, author efficient SQL statements and clauses, and manage your SQL database for scalable growth.

✅ Key Features
Covers basic to advanced SQL concepts
Dedicated live sessions by faculty of industry experts
Self-paced learning modules to learn at your own pace
Hands-on projects for real-world application
Engaging learning experience featuring demo sessions and real-world examples
Industry-recognized certificate upon completion

✅ Skills Covered

- SQL
- Database Management System DBMS
- RealWorld Problem Solving
- MySQL
- Data Analysis

Learn More:- 🔥SQL Certification Course : https://www.simplilearn.com/sql?utm_campaign=23May2024WhatIsDBMS&utm_medium=Description&utm_source=youtube

🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688
👉 Listen to what millions of users say about our courses! https://www.simplilearn.com/reviews?utm_campaign=23May2024WhatIsDBMS&utm_medium=Description&utm_source=youtube

( Data Science Training: https://www.edureka.co/data-sc....ience-r-programming- )
This "Machine Learning with R" video by Edureka will help you to understand the core concepts of Machine Learning followed by a very interesting case study on Pokemon Dataset in R. This tutorial will comprise of these topics:

1. Understanding Machine Learning
2. Applications of Machine Learning
3. Types of Machine Learning Algorithms
4. Case Study on the "Pokemon Dataset" to implement Machine Learning Algorithms

Subscribe to our channel to get video updates. Hit the subscribe button above.

Check our complete Data Science playlist here: https://goo.gl/60NJJS

#LogisticRegression #Datasciencetutorial #Datasciencecourse #datascience

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

Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities.

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

Why Learn Data Science?

Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework.

After the completion of the Data Science course, you should be able to:
1. Gain insight into the 'Roles' played by a Data Scientist
2. Analyse Big Data using R, Hadoop and Machine Learning
3. Understand the Data Analysis Life Cycle
4. Work with different data formats like XML, CSV and SAS, SPSS, etc.
5. Learn tools and techniques for data transformation
6. Understand Data Mining techniques and their implementation
7. Analyse data using machine learning algorithms in R
8. Work with Hadoop Mappers and Reducers to analyze data
9. Implement various Machine Learning Algorithms in Apache Mahout
10. Gain insight into data visualization and optimization techniques
11. Explore the parallel processing feature in R

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

Who should go for this course?

The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course:

1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts
3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics
4. Business Analysts who want to understand Machine Learning (ML) Techniques
5. Information Architects who want to gain expertise in Predictive Analytics
6. 'R' professionals who want to captivate and analyze Big Data
7. Hadoop Professionals who want to learn R and ML techniques
8. Analysts wanting to understand Data Science methodologies

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

Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka

Customer Reviews:

Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. "

🔥Edureka Tensorflow Training: https://www.edureka.co/ai-deep....-learning-with-tenso
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 Introduction
00:36 Agenda
00:47 Introduction to NLP
01:46 Ways to Process Text Data
02:57 Recurrent Neural Networks
22:02 Long Short-term Memory
51:46 LSTM Use Cases
53:45 Real Time Applications of LSTM

🔹Check our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE
🔹Check our complete Deep Learning With TensorFlow Blog Series: http://bit.ly/2sqmP4s

🔴Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV

Edureka Community: https://bit.ly/EdurekaCommunity
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Telegram: https://t.me/edurekaupdates
SlideShare: https://www.slideshare.net/EdurekaIN
Meetup: https://www.meetup.com/edureka/

#Edureka #DeepLearningEdureka #LSTMExplained #NeuralNetworks #DeepLearningTraining #DeepearningTutorial #EdurekaTraining

How it Works?

1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!

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

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

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


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

Who should go for this course?

The following professionals can go for this course:

1. Developers aspiring to be a 'Data Scientist'

2. Analytics Managers who are leading a team of analysts

3. Business Analysts who want to understand Deep Learning (ML) Techniques

4. Information Architects who want to gain expertise in Predictive Analytics

5. Professionals who want to captivate and analyze Big Data

6. Analysts wanting to understand Data Science methodologies

However, Deep learning is not just focused to one particular industry or skill set, it can be used by anyone to enhance their portfolio.

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

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


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

Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka

🔥AI Engineer Specialist Program : https://l.linklyhq.com/l/1yhn3
🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=19AugCHATGPTFC&utm_medium=Descriptionff&utm_source=youtube
🔥 AI & Machine Learning Bootcamp(US Only): https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=19AugCHATGPTFC&utm_medium=Descriptionff&utm_source=youtube
🔥 https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=19AugCHATGPTFC&utm_medium=Descriptionff&utm_source=youtube


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

⏩ Check out the Artificial Intelligence training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULa5a

#ChatGPTExpertCourse #ChatGPT Expert #ChatGPT #ChatGPTForBeginners #ChatGPT #Chat_GPT #ChatGPTTutorial #ChatGPTForBeginners #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=28August2023LGLoopEvening1-lLI4gjk24UE&utm_medium=Description&utm_source=youtube

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

👉 Listen to what millions of users say about our courses! https://www.simplilearn.com/reviews?utm_campaign=09AugCHATGPTFC&utm_medium=Description&utm_source=youtube

Demystifying attention, the key mechanism inside transformers and LLMs.
Instead of sponsored ad reads, these lessons are funded directly by viewers: https://3b1b.co/support
Special thanks to these supporters: https://www.3blue1brown.com/le....ssons/attention#than
An equally valuable form of support is to simply share the videos.

Demystifying self-attention, multiple heads, and cross-attention.
Instead of sponsored ad reads, these lessons are funded directly by viewers: https://3b1b.co/support

The first pass for the translated subtitles here is machine-generated, and therefore notably imperfect. To contribute edits or fixes, visit https://translate.3blue1brown.com/

And yes, at 22:00 (and elsewhere), "breaks" is a typo.

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

Here are a few other relevant resources

Build a GPT from scratch, by Andrej Karpathy
https://youtu.be/kCc8FmEb1nY

If you want a conceptual understanding of language models from the ground up, @vcubingx just started a short series of videos on the topic:
https://youtu.be/1il-s4mgNdI?si=XaVxj6bsdy3VkgEX

If you're interested in the herculean task of interpreting what these large networks might actually be doing, the Transformer Circuits posts by Anthropic are great. In particular, it was only after reading one of these that I started thinking of the combination of the value and output matrices as being a combined low-rank map from the embedding space to itself, which, at least in my mind, made things much clearer than other sources.
https://transformer-circuits.p....ub/2021/framework/in

Site with exercises related to ML programming and GPTs
https://www.gptandchill.ai/codingproblems

History of language models by Brit Cruise,  @ArtOfTheProblem 
https://youtu.be/OFS90-FX6pg

An early paper on how directions in embedding spaces have meaning:
https://arxiv.org/pdf/1301.3781.pdf

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

Timestamps:
0:00 - Recap on embeddings
1:39 - Motivating examples
4:29 - The attention pattern
11:08 - Masking
12:42 - Context size
13:10 - Values
15:44 - Counting parameters
18:21 - Cross-attention
19:19 - Multiple heads
22:16 - The output matrix
23:19 - Going deeper
24:54 - Ending

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

These animations are largely made using a custom Python library, manim. See the FAQ comments here:
https://3b1b.co/faq#manim
https://github.com/3b1b/manim
https://github.com/ManimCommunity/manim/

All code for specific videos is visible here:
https://github.com/3b1b/videos/

The music is by Vincent Rubinetti.
https://www.vincentrubinetti.com
https://vincerubinetti.bandcam....p.com/album/the-musi
https://open.spotify.com/album..../1dVyjwS8FBqXhRunaG5

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

3blue1brown is a channel about animating math, in all senses of the word animate. If you're reading the bottom of a video description, I'm guessing you're more interested than the average viewer in lessons here. It would mean a lot to me if you chose to stay up to date on new ones, either by subscribing here on YouTube or otherwise following on whichever platform below you check most regularly.

Mailing list: https://3blue1brown.substack.com
Twitter: https://twitter.com/3blue1brown
Instagram: https://www.instagram.com/3blue1brown
Reddit: https://www.reddit.com/r/3blue1brown
Facebook: https://www.facebook.com/3blue1brown
Patreon: https://patreon.com/3blue1brown
Website: https://www.3blue1brown.com

Dr. Paul Lessard and his collaborators have written a paper on "Categorical Deep Learning and Algebraic Theory of Architectures". They aim to make neural networks more interpretable, composable and amenable to formal reasoning. The key is mathematical abstraction, as exemplified by category theory - using monads to develop a more principled, algebraic approach to structuring neural networks.

We also discussed the limitations of current neural network architectures in terms of their ability to generalise and reason in a human-like way. In particular, the inability of neural networks to do unbounded computation equivalent to a Turing machine. Paul expressed optimism that this is not a fundamental limitation, but an artefact of current architectures and training procedures.

The power of abstraction - allowing us to focus on the essential structure while ignoring extraneous details. This can make certain problems more tractable to reason about. Paul sees category theory as providing a powerful "Lego set" for productively thinking about many practical problems.

Towards the end, Paul gave an accessible introduction to some core concepts in category theory like categories, morphisms, functors, monads etc. We explained how these abstract constructs can capture essential patterns that arise across different domains of mathematics.

Paul is optimistic about the potential of category theory and related mathematical abstractions to put AI and neural networks on a more robust conceptual foundation to enable interpretability and reasoning. However, significant theoretical and engineering challenges remain in realising this vision.

Please support us on Patreon. We are entirely funded from Patreon donations right now.
https://patreon.com/mlst
If you would like to sponsor us, so we can tell your story - reach out on mlstreettalk at gmail

Links:
Categorical Deep Learning: An Algebraic Theory of Architectures
Bruno Gavranović, Paul Lessard, Andrew Dudzik,
Tamara von Glehn, João G. M. Araújo, Petar Veličković
Paper: https://categoricaldeeplearning.com/

Symbolica:
https://twitter.com/symbolica
https://www.symbolica.ai/

Dr. Paul Lessard (Principal Scientist - Symbolica)
https://www.linkedin.com/in/paul-roy-lessard/

Neural Networks and the Chomsky Hierarchy (Grégoire Delétang et al)
https://arxiv.org/abs/2207.02098

Interviewer: Dr. Tim Scarfe

Pod: https://podcasters.spotify.com..../pod/show/machinelea

Transcript:
https://docs.google.com/docume....nt/d/1NiHJKTkeqYdpcg

More info about NNs not being recursive/TMs:
https://www.youtube.com/watch?v=4KIQH1VEwBI

Geometric Deep Learning blueprint:
https://www.youtube.com/watch?v=bIZB1hIJ4u8

TOC:
00:00:00 - Intro
00:05:07 - What is the category paper all about
00:07:19 - Composition
00:10:42 - Abstract Algebra
00:23:01 - DSLs for machine learning
00:24:10 - Inscrutability
00:29:04 - Limitations with current NNs
00:30:41 - Generative code / NNs don't recurse
00:34:34 - NNs are not Turing machines (special edition)
00:53:09 - Abstraction
00:55:11 - Category theory objects
00:58:06 - Cat theory vs number theory
00:59:43 - Data and Code are one and the same
01:08:05 - Syntax and semantics
01:14:32 - Category DL elevator pitch
01:17:05 - Abstraction again
01:20:25 - Lego set for the universe
01:23:04 - Reasoning
01:28:05 - Category theory 101
01:37:42 - Monads
01:45:59 - Where to learn more cat theory

Learn in-demand Machine Learning skills now → https://ibm.biz/BdK65D
Learn about watsonx → https://ibm.biz/BdvxRj

Large language models-- or LLMs --are a type of generative pretrained transformer (GPT) that can create human-like text and code. There's a lot of talk about GPTs and LLMs lately, but they've actually been around for years! In this video, Martin Keen briefly explains what a LLM is, how they relate to foundation models, and then covers how they work and how they can be used to address various business problems.

AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdK65X

#llm #gpt #gpt3 #largelanguagemodel #watsonx #GenerativeAI #Foundationmodels

🔥Artificial Intelligence Engineer (IBM) - https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=6WmtIaIX-bQ&utm_medium=Lives&utm_source=Youtube
🔥Purdue - Post Graduate Program in AI and Machine Learning - https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=6WmtIaIX-bQ&utm_medium=Lives&utm_source=Youtube
🔥IITK - Professional Certificate Course in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=6WmtIaIX-bQ&utm_medium=Lives&utm_source=Youtube
🔥IITG - Professional Certificate Program in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=6WmtIaIX-bQ&utm_medium=Lives&utm_source=Youtube
🔥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

✅Subscribe to our Channel to learn more about the top Technologies: https://www.youtube.com/user/Simplilearn

⏩ 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

► Subscribe Now: https://www.youtube.com/c/BrownBoysForever
Click The 🔔 To Stay Updated!

SPOTIFY: https://open.spotify.com/track..../6C9xKQGy5JzT4ikvM32

APPLE MUSIC: https://music.apple.com/us/alb....um/top-baller-single

SOUNDCLOUD: https://soundcloud.com/bygbyrd....pro/top-baller-tarna

Title: Top Baller
Artist/Lyrics: Tarna
Music: Byg Byrd
Online Promotion: Our Fan's Love & Support!

TARNA | SOCIAL MEDIA LINKS:
INSTAGRAM - https://www.instagram.com/tarna_416
SNAPCHAT - https://www.snapchat.com/add/tarna_416
TWITTER - https://www.twitter.com/tarna_416
TIK TOK - https://www.tiktok.com/@tarna_416

BYG BYRD | SOCIAL MEDIA LINKS:
INSTAGRAM - https://www.instagram.com/bygbyrdpro
SNAPCHAT - https://www.snapchat.com/add/bygbyrdpro
TWITTER - https://www.twitter.com/bygbyrdpro
TIK TOK - https://www.tiktok.com/@bygbyrdpro


Music Inquiries: [email protected]

Brown Boys Clothing: http://www.brownboys.ca


#newpunjabisongs2024 #latestpunjabisong2024 #punjabisongs2024 #punjabisong #punjabisongs

© 2024 Brown Boys Records ALL RIGHTS RESERVED

Top Christmas Songs of All Time 🎅🏼 Best Christmas Music Playlist

🎄 Immerse yourself in the joyful and spirited atmosphere of Christmas as we present a carefully curated selection of the best Christmas songs from various eras.

"We Wish You A Merry Christmas" and other timeless classics come together to create a harmonious blend of holiday cheer. Whether you're preparing for a festive gathering, decorating your home, or simply enjoying the magic of Christmas, our playlist is designed to add the perfect musical touch to your celebrations.

🎅 Experience the magic of the season with melodies that have stood the test of time and continue to bring joy to hearts around the world. From traditional carols to contemporary hits, our compilation captures the essence of Christmas, making it a memorable and heartwarming experience for everyone.

---------------------------------------------------------------------------------
👉 Merry Christmas to all the music lovers. This playlist is perfect for setting the mood for the holiday season and includes all the Christmas songs you know and love. Enjoy!
May the magic of Christmas fill your heart with warmth and love. Merry Christmas!

💌 Contact: [email protected]
---------------------------------------------------------------------------------

xmas,live,christmas,santa,christmas,pop sound music,christmas lover,best christmas songs,christmas 2025,christmas songs,Mariah Carey,last christmas,pop music,christmas song,merry christmas,christmas is coming,christmas playlist,christmas vibe,christmas hits,christmas songs mix,christmas music,chill music mix,pop chill mix,chill music playlist,happy playlist,old christmas songs,best christmas songs,christmas lover,happy wish,pop sound music

#christianmusic #merrychristmas #christmasmedley #christmassongs #feliznavidad

🔥Purdue - Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=mXPHrdvoI4k&utm_medium=Lives&utm_source=Youtube
🔥Professional Certificate Program in Generative AI and Machine Learning - IITG (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=mXPHrdvoI4k&utm_medium=Lives&utm_source=Youtube
🔥Advanced Executive Program In Applied Generative AI - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=mXPHrdvoI4k&utm_medium=Lives&utm_source=Youtube

This ChatGPT Full Course by simplilearn provides a deep dive into AI technologies and applications, starting with the Top 10 AI Technologies and covering essentials like ChatGPT basics, Prompt Engineering, and Generative AI. It explores advanced topics such as ChatGPT 4 vs. ChatGPT 3.5, RAG vs. Prompt Tuning, and Prompt Injection, alongside practical applications like building apps, blogging, and creating Telegram bots with ChatGPT. Discover tools for automating tasks such as Excel, crafting PowerPoint presentations, and using LangChain. Other highlights include tutorials on GANs, OpenAI's Strawberry and Sora, and a guide to earning money with AI innovations like selling eBooks and job preparation in AI fields.

These are the following topics covered in the ChatGPT Full Course

00:00:00 Introduction to ChatGPT Full Course
00:00:41 Top 10 AI Technologies
00:18:08 Introduction to ChatGPT
00:23:19 What is Prompt Engineering
00:24:04 What is Gen AI
00:40:22 How to get Job in AI
00:40:59 ChatGPT 40 vs ChatGPT 4
01:17:07 Chatgpt analyse
01:18:14 Run Lama Privately
01:33:51 Search GPT
01:35:03 Sell Ebooks using ChatGPT
02:01:25 Build App Using ChatGPT
04:07:05 ChatGPT for Programming
04:22:02 Prompt Formulae Chatgpt
05:34:32 Automate Excel using Chatgpt
06:19:09 Generative Adversarial Tutorial
06:20:37 Blogging with ChatGpt
06:47:56 Powerpoint using Chatgpt
06:49:02 Rag Vs Prompt Tuning
07:01:16 Prompt injection
07:53:50 Telegram BOT using ChatGPT
07:54:50 How to Earn Money using ChatGPT
09:09:59 Prompt Engineering Tutorial
09:15:41 Open AI Strawberry Tutorial
09:26:37 Openai sora Tutorial
09:28:52 Langchain Tutorial
09:56:14 Open ai chatgpt o1 model
✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Artificial Intelligence training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULa5a

#gpt #chatgpt #chatgptforbeginners #chatgptcourse #genai #generativeai #artificialintelligence #ai #machinelearning #llm #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:
✅ Program Induction
✅ Programming Fundamentals
✅ Python for Data Science (IBM)
✅ Applied Data Science with Python
✅ Machine Learning
✅ Deep Learning with TensorFlow (IBM)
✅ Deep Learning Specialization
✅ Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ Advanced Generative AI
✅ Capstone
Electives:
✅ ADL & Computer Vision
✅ NLP and Speech Recognition
✅ Reinforcement Learning
✅ Academic Masterclass
✅ Industry Masterclass

👉 Learn More At: https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=mXPHrdvoI4k&utm_medium=Lives&utm_source=Youtube

🔥Purdue - Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=yWg5nhxRCpY&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Professional Certificate Program in Generative AI and Machine Learning - IITG (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=yWg5nhxRCpY&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Advanced Executive Program In Applied Generative AI - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=yWg5nhxRCpY&utm_medium=DescriptionFirstFold&utm_source=Youtube

This Generative AI Full Course 2025 by Simplilearn provides a structured learning path, starting with the fundamentals of Generative AI and a detailed roadmap to mastering it. Learners explore top AI technologies, including DeepSeek R1, Deep Learning, and Search GPT, followed by essential tools like LangChain. The course dives into Generative Adversarial Networks (GANs), Transformers, and Long Short-Term Memory (LSTM) networks, forming the foundation of modern AI models. It then introduces Large Language Models (LLMs), Machine Learning concepts, and Reinforcement Learning, leading into practical applications like ChatGPT analysis and OpenAI Sora. Advanced topics include LLM benchmarking, Hugging Face tutorials, and OpenAI's ChatGPT O1 model. Practical insights into Generative AI tools for job interviews, Agentic AI, and AI monetization strategies help learners stay ahead in the field. The course concludes with a look at Google Quantum AI and Machine Learning interview preparation, ensuring a strong grasp of both theoretical and applied AI concepts.

00:00:00 - Introduction to Gen AI Full Course 2025
00:00:45 - What is Gen AI
00:11:24 - Roadmap Gen AI
01:16:27 - What is Machine Learning
01:23:26 - Deep Learning
01:24:50 - Introduction to LLM
01:47:32 - What are Gen AI Agents
02:24:34 - Agentic AI
03:21:06 - Machine Learning Tutorial
05:26:29 - Reinforcement Learning
05:42:34 - Deepseek r1
05:53:47 - Install Deepseek
06:44:30 - Hugging Face and its tutorial
06:52:47 - Search GPT
06:55:02 - Langchain
07:51:37 - Generative Adversarial Tutorial
09:21:57 - Introduction to agentic workflow
09:31:19 - What are Gans
09:32:20 - Transformers in AI
09:44:49 - LSTM
10:04:40 - CHatgpt analyse
10:15:36 - Openai sora
10:24:29 - LLM Benchmarkeing
10:39:53 - Open ai chatgpt o1 model
10:48:16 - Google Quantam AI
10:53:49 - Majorana
10:58:58 - Gen ai tools for job interview
12:59:19 - Deep learning Interview questions
13:05:13 - Claude 3 sonnet

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

⏩ Check out the Artificial Intelligence training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULa5a

#genai #generativeai #artificialintelligence #ai #machinelearning #llm #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.

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

👉 Learn More At: https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=yWg5nhxRCpY&utm_medium=Description&utm_source=Youtube

Reinforcement Learning with Human Feedback (RLHF) is a method used for training Large Language Models (LLMs). In the heart of RLHF lies a very powerful reinforcement learning method called Proximal Policy Optimization. Learn about it in this simple video!

This is the first one in a series of 3 videos dedicated to the reinforcement learning methods used for training LLMs.

Full Playlist: https://www.youtube.com/playli....st?list=PLs8w1Cdi-zv

Video 0 (Optional): Introduction to deep reinforcement learning https://www.youtube.com/watch?v=SgC6AZss478
Video 1: Proximal Policy Optimization https://www.youtube.com/watch?v=TjHH_--7l8g
Video 2 (This one): Reinforcement Learning with Human Feedback
Video 3 (Coming soon!): Deterministic Policy Optimization

00:00 Introduction
00:48 Intro to Reinforcement Learning (RL)
02:47 Intro to Proximal Policy Optimization (PPO)
4:17 Intro to Large Language Models (LLMs)
6:50 Reinforcement Learning with Human Feedback (RLHF)
13:08 Interpretation of the Neural Networks
14:36 Conclusion

Get the Grokking Machine Learning book!
https://manning.com/books/grok....king-machine-learnin
Discount code (40%): serranoyt
(Use the discount code on checkout)

MIT 14.41, Public Finance and Public Policy, Fall 2024
Instructor: Prof. Jonathan Gruber
View the complete course: https://ocw.mit.edu/courses/14....-41-public-finance-a
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

In this lecture Prof. Gruber discusses the importance of studying public finance, which is the role of the government in the economy. When should the government intervene? How should the government intervene? What is the effect of those interventions?


License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Support 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.

What makes a system-support machine learning model development? Find out how to transit yourself into the machine learning engineering domain, with Chi Wang, the co-author of the book 📖 Engineering Deep Learning Systems 📖

This video is an excerpt from "What Developers Need to Know to Design Machine Learning Systems" - a live-streaming session by Chi Wang. To watch the full video, visit http://mng.bz/BZr8.

📚📚📚
Engineering Deep Learning Systems | http://mng.bz/lR58
To save 40% off this book use discount code: watchchiwang40
📚📚📚

About the book:
"Engineering Deep Learning Systems" teaches you to design and implement an automated platform to support creating, training, and maintaining deep learning models. In it, you’ll learn just enough about deep learning to understand the needs of the data scientists who will be using your system. You’ll learn to gather requirements, translate them into system component design choices, and integrate those components into a cohesive whole. A complete example system and insightful exercises help you build an intuitive understanding of DL system design.