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

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

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


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

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

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

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

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

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

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➡️ 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.

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This chatgpt for digital marketing course will guide you will essential techniques for seo and content creation for your digital marketing needs.
ChatGPT revolutionizes digital marketing by streamlining content creation across platforms through its engaging blogs, social media posts, and persuasive copywriting, while also fostering customer engagement via instant responses on social media, personalized user experiences, and efficient automated customer support; it further aids in SEO efforts by suggesting relevant keywords, enables trend analysis for strategic insights, assists in content localization for global reach, facilitates the creation of interactive content like quizzes and polls, and even contributes to A/B testing variations, all of which collectively empower marketers to enhance efficiency, engagement, and overall campaign success.

00:00 ChatGPT For Digital Marketing
04:03 ChatGPT for marketing
14:22 How to use chatgpt for SEO
01:06:00 ChatGPT for content creation
01:10:20 Master SEO Content with ChatGPT
01:20:00 ChatGPT use cases
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01:51:50 How to make money using chatgpt

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➡️ About Post Graduate Program In AI And Machine Learning

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

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This Gen AI Full Course video by Simplilearn will help you learn everything about Generative AI (Gen AI). The Gen AI full Course will begin with an in-depth exploration of generative artificial intelligence and its applications. It starts with an explanation of what Gen AI is, followed by the evolution of AI and a detailed roadmap for mastering generative AI. The course highlights future AI trends, top AI technologies, and career opportunities in the field. It includes hands-on machine learning projects for practice and tutorials on LangChain, deep learning, and advanced AI concepts like transformers, LSTMs, and recurrent neural networks. Additional topics include OpenAI tools such as ChatGPT, SearchGPT, and Sora, along with benchmarking large language models (LLMs) and generative adversarial networks. Reinforcement learning and machine learning tutorials are also covered, culminating with interview questions to prepare learners for AI-related roles.

The Full course covers the following topics:

00:00:00 Introduction to Gen AI Full Course
00:00:45 What is Gen AI
00:11:17 Evolution of AI
00:21:39 Roadmap Gen AI
00:37:18 AI Trends for the Fututre
00:37:59 Top 10 AI Technologies
00:47:50 AI Carrers
00:55:05 ML Projects For Practice
01:15:06 Wht is Langchain
01:34:03 Deep Learning Tutorial For Beginners
01:49:27 Open ai chatgpt o1 model
01:57:44 Search GPT
02:08:40 Openai sora
02:17:33 LLM Benchmarkeing
03:02:10 Generative Adversarial Tutorial
03:08:22 LSTM
03:09:23 Transformers in AI
03:17:04 Introduction to LLM
04:18:17 What is Machine Learning
05:14:49 Machine Learning Tutorial
07:20:12 Reinforcement Learning
08:49:51 Recurrent Neural Network
09:09:42 CHatgpt analyse
09:21:49 MAchine Learning Interview questions

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➡️ 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.

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This is the second of a series of two videos on AI Agents.
In this video, we learn the architecture of agents, the agentic loop, memory, tools, planning, and much more! Including how to go from the static (automation) to the dynamic (autonomy).

First video - Strengths and Weaknesses of LLMs: https://www.youtube.com/watch?v=gGWufx8DTAo

Code labs:
RAG Wikipedia Agent
https://colab.research.google.....com/github/luisguise

Calculator Agent
https://colab.research.google.....com/github/luisguise

Math or Fact Agent
https://colab.research.google.....com/github/luisguise

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MIT 18.156 Projection Theory, Spring 2025
Instructor: Lawrence D Guth
View the complete course: https://ocw.mit.edu/courses/18....-156-projection-theo
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

We formulate the main questions and goals of the class, especially the exceptional set problem.

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.

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THỦY SINH NHA TRANG - THUỶ SINH MANG TÀI LỘC ĐẾN NHÀ BẠN

Thủy Sinh Nha Trang cung cấp sỉ lẻ các loại sản phẩm thủy sinh như cây thủy sinh, hồ thủy sinh, tôm cảnh, cá cảnh, tép cảnh, ốc cảnh, hồ cá thủy sinh, bể cá, phụ kiện thủy sinh, đèn thủy sinh và các thiết bị khác với giá hấp dẫn tại khu vực miền Trung. Chúng tôi chuyên về Thiết kế cảnh quan, Trang trí nội thất, Tiểu cảnh.

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Official Music Video for 'Oceans Niagara' by M83

Out now on Virgin France/Mute USA. Stream and download here: http://m83.it/oceans-niagaraEm

Taken from the new M83 album 'Fantasy' out March 17 on Virgin France/Mute USA. More information and pre-order here: http://m83.it/fantasyEm

Credits:

Directed by Yann Gonzalez
Produced by LA/PAC

Executive Producer: Lola Idounda
Line Producer: Zélie Deletrain
Production Assistant: Laura Clery
Commissioner: John Moule

Art Director: Alain García
Animator: Rosa Sawyers
Animator: Studio Space Dawg
Storyboard: Nevil

1st assistant director: Oscar Le Pollotec
Director of photography: Thomas Favel
1st assistant operator: Matthieu De Castelet
2nd assistant operator: Erwan Le Tallec
2nd assistant operator: Katia Hamnane
Grip: Dino Fey
Gaffer: Gaëtan Vote
Electrician: Léa Sorrenti

Production Designer: Nils Dupré
1st art assistant: Surya David White
2n art assistant: Barnabé d’Hauteville

Hair & Make-up: Lena Steinmetz
Costume Design: Pauline Jacquard
Set Dresser: Laureen Plouvier
Nail Artist: Texto Dallas

Location manager: Maxance Presle
Assistant location manager: Loïc Dubois
Assistant location manager: Louis Schneider
Assistant location manager: Rafael Balistreri

Post-producer : Laurence Lelong
Post-production assistant : Axelle Duarte
Editor: Marco Novoa
Assistant Editor: Emilien Denis
Assistant Editor: Émilie Lesgourgues
Colorist: Marie Gascoin
Graphist: Laetitia Grémiaux
After Effects: Hervé Champeaux

Still photographer - Ella Hermë

Casting
Sahra Raso
William Vaqué
Damia Zapata
& Anthony Gonzalez as the monster.

With the support Of Centre National du Cinéma et de l’Image Animée

Special thanks to:
RVZ, Kafard, Studio VPH, Allan Ladjadj, Studio Keral, Rubini, Pyrofolies, Static Dynamic Mechanisms, Tatiana Matillat, Marie Fessol, Pral, Colin Solal Cardo, Anouck Bertin, Bertrand Mandico, Raquel Garcia, Marlène Serour, Seba Stolarczyk / House of Base, Leopolda Duchemin, Momopassmo, 8IGB, Autrement PR, Antoine Boizeau.

Subscribe to M83's YouTube channel:http://m83.it/yt-subYo

M83 instagram: http://m83.it/M83instagramYo
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More here: http://ilovem83.com

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]
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Thanks to Microsoft for sponsoring this video! Submit your #CodingWithCopilot stories so I can review them! I'm excited to check out more!

Today I'll be showing you how to build local AI agents using Python. We'll be using Ollama, LangChain, and something called ChromaDB; to act as our vector search database. All of this will be local and free to run.

🎞 Video Resources 🎞
Code in this Video: https://github.com/techwithtim/LocalAIAgentWithRAG
Ollama Library: https://ollama.com/library
Download Ollama: https://ollama.com/
Virtual Environments Video: https://www.youtube.com/watch?v=Y21OR1OPC9A
Ollama Video: https://www.youtube.com/watch?v=UtSSMs6ObqY&t=1s

⏳ Timestamps ⏳
00:00 | Video Overview
00:34 | Project Demo
02:02 | Python Setup/Installation
04:33 | Ollama Setup
07:14 | GitHub Copilot
08:22 | Local LLM Usage
14:52 | Vector Store Database Setup
23:24 | Connecting LLM & Vector Store

#sponsored

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This Random Forest Algorithm tutorial will explain how the Random Forest algorithm works. By the end of this video, you will be able to understand what is Machine Learning, what is a Classification problem, applications of Random Forest, why we need Random Forest, how it works with simple examples, and how to implement a Random Forest algorithm in Machine Learning. This video is a part of the Machine Learning with Python Series.

Below are the topics covered in this Random Forest Algorithm tutorial:
00:00 - 02:08 Applications of Random Forest Algorithm
02:08 - 02:59 Agenda
02:59 - 04:07 Classification Algorithms
04:07 - 05:36 Why Random Forest?
05:36 - 06:40 What is Random Forest Algorithm?
06:40 - 11:01 What is a Decision Tree?
11:01 - 14:18 How does the Decision Tree algorithm work?
14:18 - 17:27 How does the Random Forest algorithm work?
17:27 - 45:34 Use Case - IRIS Flower Analysis using Python

Dataset Link - https://drive.google.com/drive..../folders/1MQ5Nnhj3gs


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#RandomForestAlgorithm #MachineLearningAlgorithm #DataScience #SimplilearnMachineLearning #MachineLearningCourse #Simplilearn

What is Random Forest Algorithm?
The random forest algorithm is a supervised machine learning algorithm that takes randomly selected data and creates different decision trees. It then makes the collection of votes from trees to decide the class of the test object.

You can also go through the Slides here: https://goo.gl/K8T4tW

Machine Learning Articles: https://www.simplilearn.com/what-is-artificial-intelligence-and-why-ai-certification-article?utm_campaign=Random-Forest-Tutorial-eM4uJ6XGnSM&utm_medium=Tutorials&utm_source=youtube

To gain in-depth knowledge of Machine Learning, check our Machine Learning certification training course: https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course?utm_campaign=Random-Forest-Tutorial-eM4uJ6XGnSM&utm_medium=Tutorials&utm_source=youtube

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About Simplilearn Machine Learning course:

A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars. This Machine Learning course prepares engineers, data scientists and other professionals with the knowledge and hands-on skills required for certification and job competency in Machine Learning.

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What skills will you learn from this Machine Learning course?

By the end of this Machine Learning course, you will be able to:

1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling.
2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.

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Who should take this Machine Learning Training Course?

We recommend this Machine Learning training course for the following professionals in particular:

1. Developers aspiring to be a data scientist or Machine Learning engineer
2. Information architects who want to gain expertise in Machine Learning algorithms
3. Analytics professionals who want to work in Machine Learning or artificial intelligence
4. Graduates looking to build a career in data science and Machine Learning

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For more updates on courses and tips follow us on:
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🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML
40% discount code: serranoyt

A friendly explanation of how computers predict and generate sequences, based on Recurrent Neural Networks.
For a brush up on Neural Networks, check out this video: https://www.youtube.com/watch?v=BR9h47Jtqyw

0:00 A friendly introduction to Recurrent Neural Networks
1:38 A friendly introduction to Deep Learning and Neural Networks
2:11 Vectors
5:22 Perfect Roommate
7:13 Simple Neural Network
7:54 Simple (Recurrent) Neural Network
10:03 Cooking Schedule
11:47 More Complicated RNN
12:06 Food
13:31 Weather
14:38 Add
16:02 Merge
20:53 Start with random weights
21:05 Use Gradient Descent
21:41 New Error Function

Join My Community to Level Up ➡ https://www.skool.com/earlyaidopters/about

🚀 Gumroad Link to Assets in the Video: https://markkashef.gumroad.com..../l/agenticdesignpatt

Work With Us: https://www.promptadvisers.com/

🎬 Core Video Description

What if you could learn the 20 agentic design patterns the pros actually use—without wading through a 400-page manual? In this practical 63-minute breakdown, I translate a Google engineer’s book into plain English and show you exactly how to apply each pattern in real workflows. You’ll see where each architecture shines, the tradeoffs that matter (cost, latency, failure modes), and quick ways to combine patterns for robust systems—so you can ship reliable agents faster and avoid over-engineering rabbit holes. Expect concise TL;DRs, labeled visuals, and a free repo packed with diagrams, ASCII flows, and Mermaid files to help you implement immediately.

[Main Topic]: A practical, plain-English guide to 20 agentic design patterns

[Key Benefits or Outcomes]: Understand when/why to use each pattern, reduce hallucinations and cost, add safety/quality gates, route work across models/agents, and ship production-ready automations with fewer retries and rollbacks

[Tools or Techniques Covered]: Prompt chaining, routing, parallelization, reflection loops, tool use, planning/orchestration, multi-agent collaboration, memory management, learning/feedback, goal tracking, exception handling, human-in-the-loop, RAG, inter-agent comms, resource-aware model routing, reasoning strategies (CoT/ToT, debate), evaluation & monitoring, guardrails/safety, prioritization, exploration/discovery

⏳ TIMESTAMPS:
00:00 – Intro: Why agentic patterns separate pros from beginners
00:36 – What you’ll get: TL;DRs, visuals, free resources
00:54 – Pattern 1: Prompt Chaining (assembly-line steps & validations)
05:42 – Pattern 2: Routing (smart triage to specialist agents)
09:30 – Pattern 3: Parallelization (split, normalize, merge)
13:16 – Pattern 4: Reflection (critic → revise → pass)
15:51 – Pattern 5: Tool Use (discover, authorize, execute, fallback)
18:19 – Pattern 6: Planning (milestones, dependencies, constraints)
20:49 – Pattern 7: Multi-Agent Collaboration (manager + roles + shared memory)
23:45 – Pattern 8: Memory Management (short/episodic/long-term, retrieval)
26:42 – Pattern 9: Learning & Adaptation (feedback → prompts/policies/tests)
29:17 – Pattern 10: Goal Setting & Monitoring (KPIs, drift, course-correct)
31:34 – Pattern 11: Exception Handling & Recovery (classify, backoff, fallbacks)
34:11 – Pattern 12: Human-in-the-Loop (review cues & approvals)
36:01 – Pattern 13: Retrieval (RAG): parse, chunk, embed, rerank
38:14 – Pattern 14: Inter-Agent Communication (protocols, IDs, expiry)
43:08 – Pattern 15: Resource-Aware Optimization (route by cost/complexity)
46:35 – Pattern 16: Reasoning Techniques (CoT, ToT, self-consistency, debate)
49:57 – Pattern 17: Evaluation & Monitoring (golden sets, SLAs, drift)
52:44 – Pattern 18: Guardrails & Safety (PII, injection, sandboxing)
56:04 – Pattern 19: Prioritization (value×effort×urgency×risk, re-order)
59:29 – Pattern 20: Exploration & Discovery (map space, cluster, probe)
62:17 – Free Repo & Diagrams (ASCII + Mermaid)
63:08 – Final CTA: Share, comment, and join the community

#AgenticAI #AIAgents #PromptEngineering #RAG #LLMEngineering #Automation #MCP #AIDesignPatterns #Evaluation #Guardrails #Routing #Parallelization #Reflection #AIforBusiness #WorkflowAutomation

*Note: 1+ Years of Work Experience Recommended to Sign up for Below Programs⬇️

🔥Explore Course Now: https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=26Sep2023-Webinar-AIML-CALTECH-CTME&utm_medium=DescriptionFirstFold&utm_source=youtube

This Live and Interactive Webinar by Simplilearn is based on a Program Preview of Caltech AI and ML Bootcamp. Throughout the webinar, we will discuss the most effective way to get into the field of Artificial Intelligence. We would also focus on taking your enthusiasm for AI and machine learning and turning it into a career.

About the Webinar
Take a look inside a premier AI & machine learning certification program from a world-leading university. We’re sharing the actual learning experience in a one-hour sample lesson from the Caltech Post Graduate Program in AI & Machine Learning.

What You’ll Learn
Join expert instructor Amitendra Srivastava as he presents a lesson on classification models (classifiers). You’ll learn about a key practical aspect of machine learning:

✅ What is Classification?
✅ Terms to Understand
✅ Real-World Applications
✅ Popular Classification Algorithms
✅ Demo of the Hands-On Python Coding Exercise

You’ll also get a feel for the digital Learning Management System through which you’ll access our program:

✅ Live Virtual Classes
✅ Virtual Lab and Project Environment
✅ Progress Tracking
✅ Community Forum with Faculty and Fellow Learners
✅ Live 24/7 Support Desk

Takeaways
✅ Get an introduction to machine learning classification models (classifiers)
✅ Ask Amitendra your questions in a live Q&A
✅ Peek inside the Caltech PGP in AI & ML

✅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

#AIMLCareerWebinar #ArtificialIntelligenceCareer #AIFullCourse #AIAndMLFullCourse #MachineLearning #AIAndMachineLearning #ArtificialIntelligenceFullCourse #MachineLearningFullCourse #MachineLearningTutorial #AITutorial #AIAndML #Simplilearn

About Simplilearn Caltech AI and ML Bootcamp:
This AI and ML Bootcamp, in collaboration with IBM, will help you advance your career as an AI and ML specialist. The AI ML Bootcamp includes masterclasses by Caltech professors and IBM specialists, a hackathon, and IBM's Ask Me Anything sessions to learn about the latest processes and technologies.

Key Features:
✅ Exclusive visit to Caltech’s Robotics Lab
✅ Earn a bootcamp certificate from Caltech CTME
✅ Online convocation by Caltech CTME Program Director
✅ 25+ hands-on projects across industry verticals with integrated labs
✅ Earn up to 22 CEUs from Caltech CTME
✅ Caltech CTME Circle Membership
✅ Access to hackathons and Ask Me Anything sessions from IBM
✅ Simplilearn Career Service helps you get noticed by top hiring companies

Eligibility:
This Introduction to AI for beginners is ideal for developers aspiring to be AI engineers, as well as for analytics managers, information architects, analytics professionals, and graduates looking to build a career in artificial intelligence or machine learning.

Pre-requisites:
There are no prerequisites for opting for this Introduction to Artificial Intelligence for beginners. It does not require programming or an IT background, making it ideal for professionals from all walks of corporate life.

👉Learn more at: https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=26Sep2023-Webinar-AIML-CALTECH-CTME&utm_medium=Description&utm_source=youtube

For more information about Simplilearn’s courses, visit:
- Facebook: https://www.facebook.com/Simplilearn
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Get the Simplilearn app: https://simpli.app.link/OlbFAhqMqgb.


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

🔥Enroll for the Artificial Intelligence Course Certification: https://intellipaat.com/artifi....cial-intelligence-de

#ArtificialIntelligenceCourse2024 #AITutorialForBeginners #AIFullCourse #Intellipaat

This Artificial Intelligence Course 2024 covers all the important skill sets required to get you an AI Engineer!

In this Artificial Intelligence Course 2024, we will cover Introduction to Artificial Intelligence, Introduction to Keras, TensorFlow, and Data Handling with NumPy. Then we will into Neural Networks, Multi-layered Neural Networks, and Artificial Neural Networks. Later, we will also dive into the Introduction to Deep Learning, Deep Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, and GPU in Deep Learning. Then we will conclude this AI Tutorial For Beginners with Artificial Intelligence Interview Questions

This Artificial Intelligence Course suits those who aspire to become AI Engineers

🔵 Following topics are covered in this Artificial Intelligence Course 2024
00:00:00 - Introduction to Artificial Intelligence Course
00:02:50 - What is Artificial Intelligence
00:06:41 - Why Artificial Intelligence
00:57:34 - Machine Learning Types
01:09:00 - Introduction to Deep Learning
02:51:03 - Benefits of Using Artificial Neural Network
02:56:17 - Deep Learning Frameworks
03:09:21 - Data Handling with NumPy
03:31:33 - Introduction to TensorFlow
05:42:50 - Understanding Epoch
06:11:05 - Introduction to Keras
07:06:11 - Predefined Neural Network Layers
09:09:16 - Problem With a Fully Connected Network
09:19:23 - Convolutional Neural Network
10:42:25 - Rectified Linear Units
11:16:04 - Artificial Intelligence Interview Questions

✅ How can I learn a full Artificial Intelligence Course?
For artificial intelligence, you should study:
Computer Science: Get fundamentals right.
Programming Language: learn Python or Java, for implementing AI algorithms.
Mathematics: Especially statistics, probability, and calculus.
Machine Learning: Understanding how machines learn from data is critical.

✅Is the Artificial Intelligence Course worth learning in 2024?
The increasing demand for AI professionals, the potential for career growth, and the problem-solving capabilities it offers make AI a valuable skill set to acquire

➡ About the Course
The artificial intelligence course is in collaboration with IITM Pravartak. This AI course helps you master AI and machine learning (ML) skills like data science, CNN, perceptron, TensorFlow, neural networks, NLP, etc. via hands-on projects. Learn AI from the IIT Madras faculty. Enroll now in the AI online course certification to become a certified artificial intelligence engineer.

➡Who should take this Artificial Intelligence Course?
Professionals working in analytics, data science, e-commerce, search engines, etc.
Software professionals and new graduates seeking a career change

✅ Key Features - (Course Features)
👉🏼50+ Live sessions across 7 months
👉🏼218 Hrs Self-paced Videos
👉🏼200 Hrs Project & Exercises
👉🏼Learn from IIT Madras Faculty and Industry Practitioners
👉🏼1:1 with Industry Mentors
👉🏼Resume Preparation and LinkedIn Profile Review
👉🏼24*7 Support
👉🏼No-cost EMI Option

➡ What’s Covered in This Program? -
✅ Preparatory Session - Linux and Python
✅Data Wrangling with SQL
✅Python With Data Science
✅Linear Algebra and Advanced Statistics
✅Machine Learning
✅Supervised and Unsupervised Learning in ML
✅Performance Metrics
✅Deep Learning Using TensorFlow
✅Data Science Capstone Project
✅Business Case Studies

📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb

⏩Artificial Intelligence Tutorial Playlist: https://www.youtube.com/playli....st?list=PLVHgQku8Z93

▶ Intellipaat Achievers Channel: https://www.youtube.com/@intellipaatachievers
🚀 Intellipaat Advanced Certifications

🌕 Advanced Certification in Cloud Computing: https://intellipaat.com/advanc....ed-certification-clo
🌕 Advanced Certification in Data Science: https://intellipaat.com/advanc....ed-certification-dat
🌕 Advanced Certification in Full Stack Web Development: https://intellipaat.com/web-de....velopment-certificat
🌕 Advanced Certification in UI UX Design: https://intellipaat.com/UI-UX-....course-iitm-pravarta
🌕 Advanced Certification in Electric Vehicle Design: https://intellipaat.com/advanc....ed-certificate-elect

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📚For more information, please write back to us at [email protected] or call us at IND: 7847955955 / USA: 1-800-216-8930

Claude Code isn’t just another coding tool. t’s a game-changer for automation, DevOps, and productivity. Imagine combining the simplicity of Unix commands with the intelligence of an AI-powered assistant. That’s what Claude Code delivers.

From coding support to system maintenance, from workflow automation to custom commands, Claude Code is becoming an essential tool across industries.

🔥 Watch now and see how it can transform the way teams work.

#ClaudeCode #Anthropic #Claudeai #Coding #AITools #Automation #DevOpsCommunity #ProductivityTools #kodekloud