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The Complete Mathematics of Neural Networks and Deep Learning
05:00:53

The Complete Mathematics of Neural Networks and Deep Learning
Machine Learning
47 Views ยท 2 years ago

A complete guide to the mathematics behind neural networks and backpropagation.

In this lecture, I aim to explain the mathematical phenomena, a combination of linear algebra and optimization, that underlie the most important algorithm in data science today: the feed forward neural network.

Through a plethora of examples, geometrical intuitions, and not-too-tedious proofs, I will guide you from understanding how backpropagation works in single neurons to entire networks, and why we need backpropagation anyways.

It's a long lecture, so I encourage you to segment out your learning time - get a notebook and take some notes, and see if you can prove the theorems yourself.

As for me: I'm Adam Dhalla, a high school student from Vancouver, BC. I'm interested in how we can use algorithms from computer science to gain intuition about natural systems and environments.

My website: adamdhalla.com
I write here a lot: adamdhalla.medium.com
Contact me: [email protected]

Two good sources I recommend to supplement this lecture:

Terence Parr and Jeremy Howard's The Matrix Calculus You Need for Deep Learning: https://arxiv.org/abs/1802.01528

Michael Nielsen's Online Book Neural Networks and Deep Learning, specifically the chapter on backpropagation http://neuralnetworksanddeeple....arning.com/chap2.htm

ERRATA----
I'm pretty sure the Jacobians part plays twice - skip it when you feel like stuff is repeating, and stop when you get to the part about the "Scalar Chain Rule" (00:24:00).

And, here are the timestamps for each chapter mentioned in the syllabus present at the beginning of the course.

PART I - Introduction
--------------------------------------------------------------
00:00:52 1.1 Prerequisites
00:02:47 1.2 Agenda
00:04:59 1.3 Notation
00:07:00 1.4 Big Picture
00:10:34 1.5 Matrix Calculus Review
00:10:34 1.5.1 Gradients
00:14:10 1.5.2 Jacobians
00:24:00 1.5.3 New Way of Seeing the Scalar Chain Rule
00:27:12 1.5.4 Jacobian Chain Rule

PART II - Forward Propagation
--------------------------------------------------------------
00:37:21 2.1 The Neuron Function
00:44:36 2.2 Weight and Bias Indexing
00:50:57 2.3 A Layer of Neurons

PART III - Derivatives of Neural Networks and Gradient Descent
--------------------------------------------------------------
01:10:36 3.1 Motivation & Cost Function
01:15:17 3.2 Differentiating a Neuron's Operations
01:15:20 3.2.1 Derivative of a Binary Elementwise Function
01:31:50 3.2.2 Derivative of a Hadamard Product
01:37:20 3.2.3 Derivative of a Scalar Expansion
01:47:47 3.2.4 Derivative of a Sum
01:54:44 3.3 Derivative of a Neuron's Activation
02:10:37 3.4 Derivative of the Cost for a Simple Network (w.r.t weights)
02:33:14 3.5 Understanding the Derivative of the Cost (w.r.t weights)
02:45:38 3.6 Differentiating w.r.t the Bias
02:56:54 3.7 Gradient Descent Intuition
03:08:55 3.8 Gradient Descent Algorithm and SGD
03:25:02 3.9 Finding Derivatives of an Entire Layer (and why it doesn't work well)

PART IV - Backpropagation
--------------------------------------------------------------
03:32:47 4.1 The Error of a Node
03:39:09 4.2 The Four Equations of Backpropagation
03:39:12 4.2.1 Equation 1: The Error of the last Layer
03:46:41 4.2.2 Equation 2: The Error of any layer
04:03:23 4.2.3 Equation 3: The Derivative of the Cost w.r.t any bias
04:10:55 4.2.4 Equation 4: The Derivative of the Cost w.r.t any weight
04:18:25 4.2.5 Vectorizing Equation 4
04:35:24 4.3 Tying Part III and Part IV together
04:44:18 4.4 The Backpropagation Algorithm
04:58:03 4.5 Looking Forward

GenAI Roadmap for Beginners | Generative AI Engineer Roadmap | LLM | Gen AI Tutorial | Simplilearn
00:10:02

GenAI Roadmap for Beginners | Generative AI Engineer Roadmap | LLM | Gen AI Tutorial | Simplilearn
Machine Learning
46 Views ยท 2 years ago

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In this video, we guide you through a comprehensive Generative AI roadmap for beginners, breaking down the essential steps to kickstart your journey. From learning Python and basic machine learning concepts to diving into deep learning and building generative models like GANs and VAEs, this step-by-step guide covers everything you need. Whether you're just starting out or looking to build a solid foundation in AI, this roadmap will give you the skills and confidence to explore the exciting world of Generative AI. Don't miss out on this must-watch for aspiring AI enthusiasts!

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โœ… Does generative AI require coding?
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๐Ÿ”ฅData Analytics Full Course 2024 | Data Analytics For Beginners |Data Analytics Course| Simplilearn
10:52:43

๐Ÿ”ฅData Analytics Full Course 2024 | Data Analytics For Beginners |Data Analytics Course| Simplilearn
Generative AI
46 Views ยท 3 years ago

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Local LLM Challenge | Speed vs Efficiency
00:16:25

Local LLM Challenge | Speed vs Efficiency
Generative AI
46 Views ยท 2 years ago

I put three systems to the local LLM test.

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MLOps Full Course for [2026] -12 hour | MLOps for Beginners | What is MLOps? | Edureka Live
11:23:20

MLOps Full Course for [2026] -12 hour | MLOps for Beginners | What is MLOps? | Edureka Live
Generative AI
46 Views ยท 9 months ago

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00:01:44 What is MLOps?
00:13:45 What is Machine learning?
00:30:20 Types of Machine Learning Models
00:37:33 Top Machine Learning Tools & Frameworks
00:47:29 Introduction to TensorFlow
01:11:05 Python Flask Explained
01:44:20 What is Git?
02:38:40 GitHub Basics
03:08:13 What is Jenkins?
04:09:42 What is Docker?
04:49:10 Introduction to Kubernetes
04:59:45 Prometheus Explained
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06:39:00 Azure Boards
06:53:39 Azure DevOps Pipeline
07:06:14 Azure DevOps Test Plans
07:31:46 Azure DevOps Artifacts
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Top Christmas Songs of All Time ๐ŸŽ…๐Ÿผ Best Christmas Music Playlist ๐ŸŽ„ Merry Christmas Songs
01:32:56

Top Christmas Songs of All Time ๐ŸŽ…๐Ÿผ Best Christmas Music Playlist ๐ŸŽ„ Merry Christmas Songs
Generative AI
45 Views ยท 2 years ago

The Top Christmas Songs of All Time playlist! This best Christmas Music playlist features all of the best Christmas songs you know and love! The best Christmas Playlist / Christmas Music mix for any occasion! We wish you a Merry Christmas 2024!

It's that time of year again! Christmas is quickly approaching, and what better way to celebrate than with some top Christmas songs? In this playlist, you'll find some of the best Christmas music out there, perfect for getting you in the mood for the holiday season! From classic Christmas carols to modern Christmas hits, this playlist has everything you need to get into the holiday spirit!

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๐Ÿ”ฅ Python Programming Full Course 2023 | Python Course For Beginners | Python Tutorial | Simplilearn
11:08:51

๐Ÿ”ฅ Python Programming Full Course 2023 | Python Course For Beginners | Python Tutorial | Simplilearn
Generative AI
45 Views ยท 3 years ago

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The most dangerous AI robots are more hidden. Beyond Boston Dynamics.
00:15:49

The most dangerous AI robots are more hidden. Beyond Boston Dynamics.
Machine Learning
45 Views ยท 3 years ago

Why do Boston Dynamics Robots dance? And Could Elon Musk be right that superhuman AI is only around five years away?

Boston Dynamics' Dancing Robots:
https://youtu.be/fn3KWM1kuAw

Interview with the GPT-3 AI:
https://youtu.be/PqbB07n_uQ4

PWC report on how automation will impact jobs:
https://www.pwc.co.uk/services..../economics/insights/

I Vacuum Venom from the World's Deadliest Spider
00:09:01

I Vacuum Venom from the World's Deadliest Spider
Machine Learning
45 Views ยท 3 years ago

Go to our sponsor https://betterhelp.com/veritasium to get matched with a professional therapist who will listen and help.

โ–€โ–€โ–€
Huge thanks to the Australian Reptile Park for having us over to film โ€“ special thanks to Jake Meney for showing us the spiders and Caitlin Vine for organizing the shoot. https://www.reptilepark.com.au

Huge thanks to Dr Timothy Jackson with his help and answering our questions.

Thanks to Seqirus Australia for providing B-roll footage of the antivenom production process.


โ–€โ–€โ–€
References:

Pineda, S. S., Sollod, B. L., Wilson, D., Darling, A., Sunagar, K., Undheim, E. A., ... & King, G. F. (2014). Diversification of a single ancestral gene into a successful toxin superfamily in highly venomous Australian funnel-web spiders. BMC genomics, 15(1), 1-16 - https://ve42.co/Pineda2014

Isbister, G. K., Gray, M. R., Balit, C. R., Raven, R. J., Stokes, B. J., Porges, K., ... & Fisher, M. M. (2005). Funnel-web spider bite: a systematic review of recorded clinical cases. Medical journal of Australia, 182(8), 407-411 - https://ve42.co/Isbister2005

Herzig, V., Sunagar, K., Wilson, D. T., Pineda, S. S., Israel, M. R., Dutertre, S., ... & Fry, B. G. (2020). Australian funnel-web spiders evolved human-lethal ฮด-hexatoxins for defense against vertebrate predators. Proceedings of the National Academy of Sciences, 117(40), 24920-24928 - https://ve42.co/Herzig2020

Nicholson, G. M., & Graudins, A. (2002). Spiders of medical importance in the Asiaโ€“Pacific: Atracotoxin, latrotoxin and related spider neurotoxins. Clinical and experimental pharmacology and physiology, 29(9), 785-794 - https://ve42.co/Nicholson2002

Fletcher, J. I., Chapman, B. E., Mackay, J. P., Howden, M. E., & King, G. F. (1997). The structure of versutoxin (ฮด-atracotoxin-Hv1) provides insights into the binding of site 3 neurotoxins to the voltage-gated sodium channel. Structure, 5(11), 1525-1535 - https://ve42.co/Fletcher1997

Australian Reptile Park. (2022). Snake and Spider First Aid - https://ve42.co/ARPFirstAid

The Australian Museum. (20 ). Spider facts - https://ve42.co/SpiderFacts


โ–€โ–€โ–€
Special thanks to our Patreon supporters:
Orlando Bassotto, Tj Steyn, meg noah, Bernard McGee, KeyWestr, Amadeo Bee, TTST, Balkrishna Heroor, John H. Austin, Jr., john kiehl, Anton Ragin, Benedikt Heinen, Diffbot, Gnare, Dave Kircher, Burt Humburg, Blake Byers, Evgeny Skvortsov, Meekay, Bill Linder, Paul Peijzel, Josh Hibschman, Mac Malkawi, Juan Benet, Ubiquity Ventures, Richard Sundvall, Lee Redden, Stephen Wilcox, Marinus Kuivenhoven, Michael Krugman, and Sam Lutfi


โ–€โ–€โ–€
Written by Katie Barnshaw & Derek Muller
Edited by Trenton Oliver
Filmed by Petr Lebedev, Derek Muller and Jason Tran
Animation by Ivy Tello, Jakub Misiek and Fabio Albertelli
Neuron animation by Reciprocal Space โ€“ https://www.reciprocal.space
Additional video/photos supplied from Getty Images, Pond5
B-roll supplied by Seqirus Australia
Music from Epidemic Sound
Produced by Derek Muller, Petr Lebedev, Emily Zhang & Katie Barnshaw

Google Cloud Platform Full Course | Google Cloud Platform Tutorial | Cloud Computing | Simplilearn
03:42:31

Google Cloud Platform Full Course | Google Cloud Platform Tutorial | Cloud Computing | Simplilearn
Machine Learning
45 Views ยท 3 years ago

๐Ÿ”ฅ Cloud Architect Masters Program (Discount Coupon - YTBE15):https://www.simplilearn.com/cloud-solutions-architect-masters-program-training?utm_campaign=23AugustTubebuddyExpCC&utm_medium=DescriptionFF&utm_source=youtube
๐Ÿ”ฅ IIT Guwahati Professional Certificate Program In Cloud Computing And DevOps (India Only): https://www.simplilearn.com/professional-certificate-program-cloud-computing-devops?utm_campaign=GCPFSjul14&utm_medium=Descriptionff&utm_source=youtube
๐Ÿ”ฅCaltech Cloud Computing Bootcamp (US Only): https://www.simplilearn.com/cloud-computing-bootcamp-certification-course?utm_campaign=GCPFSjul14&utm_medium=Descriptionff&utm_source=youtube
The Google Cloud Platform Tutorial video will cover all the important concepts of Google Cloud Platform. Google Cloud Platform is a set of cloud computing services provided by Google that runs on the same infrastructure that Google uses for its end-user products like, YouTube, Gmail and more. In this video, we will be looking into what is GCP? GCP tutorial, AWS vs GCP, GCP web hosting, Google cloud ML, GCP fundamentals, Google Cloud Platform Fundamentals (CP100A) Certification Training.

00:00:00 What is GCP?
01:32:48 GCP Tutorial
03:09:01 AWS vs GCP
03:17:13 GCP Web Hosting
03:36:24 Google Cloud ML
03:38:50 Google Cloud Platform Certificate Training

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

โฉ Check out the Google Cloud Platform(GCP) tutorial videos: https://bit.ly/35r8IPg

#GoogleCloudPlatformTutorial #GoogleCloudPlatformFullCourse #GoogleCloudTutorial #GoogleCloudPlatformTutorialForBeginners #CloudComputing #Simplilearn

โžก๏ธ About Post Graduate Program In Cloud Computing
This Post Graduate Program in Cloud Computing helps you become an expert in designing, planning, and scaling cloud implementations. Our Cloud Computing course helps you master the core skill sets required to design and deploy dynamically scalable and reliable applications on three popular cloud platform providers: Microsoft Azure, AWS, and GCP.

โœ… Key Features
- Caltech CTME Post Graduate Certificate
- Enrolment in Simplilearnโ€™s JobAssist
- Receive up to 30 CEUs from Caltech CTME
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Attend Masterclasses from Caltech CTME instructors
- Live virtual classes led by industry experts, hands-on projects and integrated labs
- Online Convocation by Caltech CTME Program Director
- 40+ Hands-On Projects and Integrated Labs
- Capstone Project in 4 Domains
- Caltech CTME Circle Membership

โœ… Skills Covered
- Cloud Provider Selection
- Application Migration
- Performance Testing
- Cloud Workloads
- Identity Access Management
- Autoscaling
- Disaster Recovery
- Web Services and API
- Cloud Migration and Deployment
- Database Management
- MultiCloud Deployment
- Storage Services

๐Ÿ‘‰ Learn More At: https://www.simplilearn.com/pgp-cloud-computing-certification-training-course?utm_campaign=GCPFSjul14&utm_medium=Description&utm_source=youtube

๐Ÿ”ฅ๐Ÿ”ฅ Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

A Quick Guide To Sentiment Analysis | Sentiment Analysis In Python Using Textblob | Edureka
00:07:40

A Quick Guide To Sentiment Analysis | Sentiment Analysis In Python Using Textblob | Edureka
Machine Learning
45 Views ยท 2 years ago

๐Ÿ”ฅ Post Graduate Diploma in Artificial Intelligence by E&ICT Academy
NIT Warangal: https://www.edureka.co/executi....ve-programs/machine-
This video on the Sentiment Analysis in Python is a quick guide for the one who is getting started with Sentiment Analysis.
Second Part: https://youtu.be/27P268Q7pE0

Check out our playlist for more videos: http://bit.ly/2taym8X

Subscribe to our channel to get video updates. Hit the subscribe button above.
#MachineLearningUsingPython #MachineLearningTraning #SentimentAnalysis #PythonEdureka

----------๐„๐๐ฎ๐ซ๐ž๐ค๐š ๐๐ฒ๐ญ๐ก๐จ๐ง ๐“๐ซ๐š๐ข๐ง๐ข๐ง๐ ๐ฌ-----------

๐Ÿ”ตPython Programming Certification: http://bit.ly/37rEsnA
๐Ÿ”ตPython Certification Training for Data Science: http://bit.ly/2Gj6fux

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๐Ÿ”ตData Scientist Masters Program: http://bit.ly/2t1snGM
๐Ÿ”ตMachine Learning Engineer Masters Program: https://bit.ly/3Hi1sXN

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๐ŸŒ•Post Graduate Diploma in Artificial Intelligence Course offered by E&ICT Academy
NIT Warangal: https://bit.ly/3qdRRdw

How it Works?

1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work
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 be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!

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

About the Course

Edurekaโ€™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 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.

After completing this Machine Learning Certification Training using Python, you should be able to:
Gain insight into the 'Roles' played by a Machine Learning Engineer
Automate data analysis using python
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and itโ€™s related concepts
Gain expertise to handle business in future, living the present

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

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.

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).

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

Pasado, Presente y Futuro de la IA - ยกDel Deep Learning 1.0 a Google Gemini!
00:28:44

Pasado, Presente y Futuro de la IA - ยกDel Deep Learning 1.0 a Google Gemini!
Machine Learning
44 Views ยท 2 years ago

El Deep Learning ha cambiado el mundo en sรณlo una dรฉcada y hoy os contarรฉ cรณmo esta rama de la informรกtica podrรญa seguir evolucionando. Y lo haremos desde el comienzo, con las redes neuronales mรกs sencillas hasta Google Gemini, la futura promesa de Google DeepMind, pasando eso sรญ por los enormes modelos fundacionales como ChatGPT. ยกBienvenidos a la nueva temporada de DotCSV!

๐Ÿ“น EDICIร“N: Carlos Santana y Diego Gonzalez (Diocho)

--- ยกMรS DOTCSV! ----

๐Ÿ“ฃ NotCSV - ยกCanal Secundario!
https://www.youtube.com/c/notcsv
๐Ÿ’ธ Patreon : https://www.patreon.com/dotcsv
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๐Ÿ‘พ Twitch!!! : https://www.twitch.tv/dotcsv
๐Ÿฅ Twitter : https://twitter.com/dotCSV
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-- ยกMรS CIENCIA! ---

๐Ÿ”ฌ Este canal forma parte de la red de divulgaciรณn de SCENIO. Si quieres conocer otros fantรกsticos proyectos de divulgaciรณn entra aquรญ:

http://scenio.es/colaboradores

Claude Code Clearly Explained (and how to use it)
00:31:28

Claude Code Clearly Explained (and how to use it)
Generative AI
44 Views ยท 9 months ago

In this episode, I sit down with Professor Ras Mic for a beginner-friendly crash course on using Claude Code (and AI coding agents in general) without feeling overwhelmed by the terminal. We break down why your output is only as good as your inputs and how thinking in features + tests turns โ€œvague app ideasโ€ into real, shippable products. Was walks me through a better planning workflow using Claude Codeโ€™s Ask User Question Tool, which forces clarity on UI/UX decisions, trade-offs, and technical constraints before you build. We also talk about when not to use โ€œRalphโ€ automation, why context windows matter, and how taste + audacity are the real differentiators in 2026 software.

Timestamps
00:00 โ€“ Intro
01:22 โ€“ Claude Code Best Practices
05:31 โ€“ Claude Code Plan Mode
09:30 โ€“ The Ask User Question Tool
14:52 โ€“ Donโ€™t start with Ralph automation (get reps first)
16:36 โ€“ What are โ€œRalph loopsโ€ and why plans and documentation matter most
18:41 โ€“ Rasโ€™s Ralph setup: progress tracking + tests + linting
23:48 โ€“ Tips & tricks: donโ€™t obsess over MCP/skills/plugins
27:44 โ€“ Scroll-stopping software wins

Links Mentioned:

Ras's Ralphy AI Agent: https://startup-ideas-pod.link/ras-ralphy

Key Points

* Your results improve fast when you treat AI agents like junior engineers: clear inputs โ†’ clean outputs.
* The biggest unlock is planning in features + tests, not broad product descriptions.
* Claude Codeโ€™s Ask User Question Tool forces real clarity on workflow, UI/UX, costs, and technical decisions.
* If you havenโ€™t shipped anything, donโ€™t hide behind automationโ€”build manually before using โ€œRalph.โ€
* Context management matters: long sessions can degrade quality, so restart earlier than you think.

Numbered Section Summaries

* The Real Reason People Get โ€œAI Slopโ€ I frame the episode around a simple idea: if you feed agents sloppy instructions, youโ€™ll get sloppy output. Ras explains that models are now good enough that the failure mode is usually unclear inputs, not model quality.

* How To Think Like A Product Builder (Features First): Ras pushes a practical mindset: donโ€™t describe โ€œthe product,โ€ describe the _features_ that make the product real. If you can list the core features clearly, you can actually direct an agent to build them correctly.

* The Missing Piece: Tests Between Features: We talk about the shift from โ€œgenerate codeโ€ to โ€œbuild something serious.โ€ The move is writing and running tests after each feature, so you donโ€™t stack feature two on top of a broken feature one.

* Why Default Planning Mode Isnโ€™t Enough: Ras shows the standard flow: open plan mode, ask Claude to write a PRD, and get a basic roadmap. The issue is it leaves too many assumptionsโ€”especially around UI/UX and workflow details.

* The Ask User Question Tool (The Planning Upgrade): This is the big unlock. Ras demonstrates how the Ask User Question Tool interrogates you with increasingly specific questions (workflow, cost handling, database/hosting, UI style, storage, etc.) so the plan becomes dramatically more precise.

* Spend Time Upfront Or Pay For It Later: We connect the dots: better planning reduces back-and-forth, reduces token burn, and prevents โ€œI built the app but itโ€™s not what I wanted.โ€ The interview-style planning forces trade-offs early instead of late.

* Donโ€™t Use Ralph Until Youโ€™ve Built Without It: Ras makes a strong case for reps: if you canโ€™t ship something end-to-end yet, automation wonโ€™t save youโ€”itโ€™ll just move faster in the wrong direction. Build feature-by-feature manually first, then graduate to loops.

* Practical Tips: Context Discipline + Taste Wins: Ras shares a few operational habits: donโ€™t obsess over tools like MCP/plugins, keep context usage under control, and restart sessions before quality degrades. We wrap on a bigger point: in 2026, โ€œaudacity + tasteโ€ is what makes software stand out.

The #1 tool to find startup ideas/trends - https://www.ideabrowser.com/
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/
The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/

FIND ME ON SOCIAL
X/Twitter: https://twitter.com/gregisenberg
Instagram: https://instagram.com/gregisenberg/
LinkedIn: https://www.linkedin.com/in/gisenberg/

FIND MIC ON SOCIAL
X/Twitter: https://x.com/Rasmic
Youtube: https://www.youtube.com/@rasmic

Agentic AI Course For Beginners 2026 | AI Agents Tutorial | Agentic AI Course | Edureka
07:32:41

Agentic AI Course For Beginners 2026 | AI Agents Tutorial | Agentic AI Course | Edureka
Generative AI
44 Views ยท 9 months ago

๐Ÿ”ฅAgentic AI Training Course - Master AI Agents: https://www.edureka.co/agentic-ai-training-course
๐Ÿ”ฅIntegrated MS+PGP Program in Data Science & AI:https://www.edureka.co/dual-ce....rtification-programs

Explore the future of artificial intelligence with Agentic AI! In this video, we dive into the exciting developments and advancements that are set to shape the industry in 2026. We will learn what Agentic AI is and how it goes beyond traditional AI by acting with purpose and autonomy. Youโ€™ll discover 5 powerful secrets behind Agentic AIโ€”from multi-agent collaboration to real-world tool integration and ethical guardrails. By the end, youโ€™ll understand how Agentic AI is transforming industries and why itโ€™s the future of intelligent systems.

Join us as we discuss the latest trends, innovations, and predictions for Agentic AI in 2026. Whether you're an AI enthusiast, a business leader, or simply curious about the future of technology, this video is for you. Stay ahead of the curve and discover what's next for Agentic AI!

00:00:00 Introduction
00:01:28 What is Agentic AI?
00:12:20 Agentic AI vs Generative AI
00:33:33 Alexa+ Powered by Generative AI
00:44:47 Agentic AI Roadmap
00:51:15 Introduction to Artificial Intelligence
01:10:03 Introduction to Deep Learning
02:27:26 Artificial Neural Network
02:59:26 Transformers Explained Using Generative AI
03:07:05 Transformers Neural Networks Explained
03:14:29 What are Large Language Models?
03:35:28 What is Multimodal AI?
03:52:46 LLM vs SLM
03:58:14 What is LangChain?
04:15:29 Langchain Agents Explained
04:22:44 What is RAG?
04:45:32 LLMOps: The Future of AI Development
04:51:55 Prompt Engineering
05:06:09 Natural Language Processing (NLP) & Text Mining using NLTK
05:44:52 KNN Algorithm using Python
06:03:11 Alibabaโ€™s Qwen 2.5-Max Just Beat GPT-4 & DeepSeek?
06:07:35 DeepSeek Training Cost: How China Built AI for Less
06:13:04 DeepSeek vs OpenAI: Who Wins the AI Race?
06:25:36 Deep Learning Interview Questions

โœ…Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

๐Ÿ“Feel free to share your comments below.๐Ÿ“

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๐Ÿ”ต DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
๐ŸŒ• Cloud Architect Masters Program: http://bit.ly/3OvueZy
๐Ÿ”ต Data Scientist Masters Program: http://bit.ly/3tUAOiT
๐ŸŒ• Big Data Architect Masters Program: http://bit.ly/3tTWT0V
๐Ÿ”ต Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
๐ŸŒ• Business Intelligence Masters Program: http://bit.ly/3UZPqJz
๐Ÿ”ต Python Developer Masters Program: http://bit.ly/3EV6kDv


๐Ÿ”ด ๐„๐๐ฎ๐ซ๐ž๐ค๐š ๐”๐ง๐ข๐ฏ๐ž๐ซ๐ฌ๐ข๐ญ๐ฒ ๐๐ซ๐จ๐ ๐ซ๐š๐ฆ๐ฌ

๐Ÿ”ต Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

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๐Ÿ“Œ๐“๐ž๐ฅ๐ž๐ ๐ซ๐š๐ฆ: https://t.me/edurekaupdates
๐Ÿ“Œ๐“๐ฐ๐ข๐ญ๐ญ๐ž๐ซ: https://twitter.com/edurekain
๐Ÿ“Œ๐‹๐ข๐ง๐ค๐ž๐๐ˆ๐ง: https://www.linkedin.com/company/edureka
๐Ÿ“Œ๐ˆ๐ง๐ฌ๐ญ๐š๐ ๐ซ๐š๐ฆ: https://www.instagram.com/edureka_learning/
๐Ÿ“Œ๐…๐š๐œ๐ž๐›๐จ๐จ๐ค: https://www.facebook.com/edurekaIN/
๐Ÿ“Œ๐’๐ฅ๐ข๐๐ž๐’๐ก๐š๐ซ๐ž: https://www.slideshare.net/EdurekaIN
๐Ÿ“Œ๐‚๐š๐ฌ๐ญ๐›๐จ๐ฑ: https://castbox.fm/networks/505?country=IN
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๐Ÿ“Œ๐‚๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐ญ๐ฒ: https://www.edureka.co/community/

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

What is Agentic AI?
Agentic AI refers to artificial intelligence systems that can autonomously make decisions, take actions, and pursue goals with minimal human intervention. Unlike traditional AI, which adheres to predetermined rules, agentic AI may dynamically adapt to new situations. It is widely utilized in robotics, virtual assistants, self-driving cars, and sophisticated decision-making processes.

What are the prerequisites for this Agentic AI Training Course?
In order to complete this course successfully, participants need to have a basic understanding of the Python programming language, machine learning, deep learning, natural language processing, generative AI, and prompt engineering concepts.

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

#agenticai #aiagents #agenticaicourse #generativeai

How One Line in the Oldest Math Text Hinted at Hidden Universes
00:31:12

How One Line in the Oldest Math Text Hinted at Hidden Universes
Machine Learning
43 Views ยท 3 years ago

Discover strange new universes that turn up at the core of Einsteinโ€™s General Relativity. Head to https://brilliant.org/veritasium to start your free 30-day trial, and the first 200 people get 20% off an annual premium subscription.

If youโ€™re looking for a molecular modeling kit, try Snatoms โ€“ a kit I invented where the atoms snap together magnetically โ€“ https://ve42.co/SnatomsV

โ–€โ–€โ–€
A massive thank you to Prof. Alex Kontorovich for all his help with this video.

A huge thank you to Prof. Geraint Lewis and Dr. Ashmeet Singh for helping us understand the applications of Non-Euclidean geometry in astronomy/cosmology.

Lastly, a big thank you to Dr. Henry Segerman and Dr. Rรฉmi Coulon for helping us visualize what itโ€™s like to be inside hyperbolic space and helping us understand hyperbolic geometry.

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Images:
Euclid via Science Museum Group - https://ve42.co/Euclid

Geodesy survey via ams - https://ve42.co/Geodesy

John Wheeler via NAS Online - https://ve42.co/Wheeler

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References:
Dunham, W. (1991). Journey through Genius: Great Theorems of Mathematics. John Wiley & Sons.

Bonola, R. (1955). Non-Euclidean geometry: A critical and historical study of its development. Courier Corporation.

Library of Congress. (n.d.). The Library of Congress. - https://ve42.co/LibofCongress

Euclidโ€™s Elements, Wikipedia - https://ve42.co/Elements

The History of Non-Euclidean Geometry, Extra History via YouTube - https://ve42.co/ExtraHistory

We (could) live on a 4D Pringle - Physics for the Birds via YouTube - https://ve42.co/4DPringle

Parallel Postulate, Wikipedia - https://ve42.co/Parallel

Prรฉkopa, A., & Molnรกr, E. (Eds.). (2006). Non-euclidean geometries: Jรกnos Bolyai memorial volume (Vol. 581). Springer Science & Business Media.

St Andrews, University of. (n.d.). Bolyai. MacTutor History of Mathematics. - https://ve42.co/Bolyai

Bolyai, J. (1896). The Science Absolute of Space.. (Vol. 3). The Neomon.

Gauss, Wikipedia - https://ve42.co/Gauss

Singh, U. (2022). Gauss-Bolyai-Lobachevsky: The dawn of non-euclidean geometry. Medium. - https://ve42.co/CPNonEuclidean

Landvermessung, D. Z. (1929). Abhandlungen ueber Gauss' wissenschaftliche Taetigkeit auf den Gebieten der Geodaesie, Physik und Astronomie Bd. 11, Abt. - https://ve42.co/Landvermessung

Nikolai Lobachevsky, Wikipedia - https://ve42.co/Lobachevsky

Lobachevskiฤญ, N. I. (1891). Geometrical researches on the theory of parallels. University of Texas.

A Problem with the Parallel Postulate, Numberphile via YouTube - https://ve42.co/NumberphileParallel

Riemann, B. (2016). On the hypotheses which lie at the bases of geometry. Birkhรคuser. - https://ve42.co/Riemann

Einstein, A. (1905). On the electrodynamics of moving bodies. Annalen der physik, 17(10), 891-921. - https://ve42.co/Einstein1905

ESA/Hubble. (n.d.). Hubblecast 90: The final frontier of the Frontier Fields. ESA/Hubble. - https://ve42.co/Einstein1905

Agazie, G., et al. (2023). The NANOGrav 15 yr data set: Constraints on supermassive black hole binaries from the gravitational-wave background. - https://ve42.co/NANOGrav

Secrets of the Cosmic Microwave Background, PBS Spacetime via YouTube - https://ve42.co/PBSCMB

Wood, C. (2020). How Ancient Light Reveals the Universe's Contents. Quanta Magazine. - https://ve42.co/AncientLight

Collaboration (2014). Planck 2013 results. XVI. Cosmological parameters. A&A, 571, A16. - https://ve42.co/Planck2013

WMAP Science Team, NASA. (2014). Matter in the Universe. WMAP, NASA. - https://ve42.co/WMAP2014

What Is The Shape of Space, minutephysics via YouTube - https://ve42.co/SpaceShape

Shape of the universe, Wikipedia - https://ve42.co/UniverseShape

Crocheting Hyperbolic Planes: Daina Taimina by Ted, via YouTube - https://ve42.co/Hyperbolic

Hyperbolic Crochet model - https://ve42.co/Crochet

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Special thanks to our Patreon supporters:
Adam Foreman, Amadeo Bee, Anton Ragin, Balkrishna Heroor, Bernard McGee, Bill Linder, Burt Humburg, Dave Kircher, Diffbot, Evgeny Skvortsov, Gnare, Jesse Brandsoy, John H. Austin, Jr., john kiehl, Josh Hibschman, Juan Benet, KeyWestr, Lee Redden, Marinus Kuivenhoven, Mario Bottion, Max Maladino, Meekay, meg noah, Michael Krugman, Paul Peijzel, Richard Sundvall, Sam Lutfi, Stephen Wilcox, Tj Steyn, TTST, Ubiquity Ventures

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Directed by Casper Mebius
Written by Casper Mebius, Petr Lebedev, Emily Zhang, Derek Muller, and Alex Kontorovich
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Animated by Fabio Albertelli, Ivy Tello, and Mike Radjabov
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Produced by Casper Mebius, Derek Muller, and Han Evans

Additional video/photos supplied by Getty Images, Pond5, and by courtesy of: NASA, NASA's Goddard Space Flight Center, NASA Goddard Flight Lab/ CI Lab, NASAโ€™s WMAP science teams, ESO, and ESA/Hubble.
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What Are Transformers In Artificial Intelligence? | Artificial Intelligence Tutorial | Simplilearn
00:18:39

What Are Transformers In Artificial Intelligence? | Artificial Intelligence Tutorial | Simplilearn
Generative AI
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