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Machine Learning
35 Views · 3 years ago

What’s up gadget-heads and welcome to another episode of TechJoint! Today, we’re bringing you the 10 TERRIFYING Military Robots That Really Exist! For the most part, robots exist to do good things. We’ve built them to vacuum our floors, work on assembly lines and even play fetch with our dogs. But because the military has always been at the cutting edge of technology, it should come as no surprise that some of the most advanced robots in the world are being built with military applications in mind. From tiny spy robots to pure death machines, let’s look at some of these most terrifying military robots. Before we begin, make sure you hit that subscribe button and turn on notifications so you never miss out on the latest and greatest tech.

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Generative AI
40 Views · 2 years ago

🔥Intellipaat Linux Course: https://intellipaat.com/linux-training/
In this linux tutorial for beginners video you will learn what is linux, how to install linux, how to setup kernel parameters, how to install & remove softwares, RPM in linux, various commands in linux and various linux services & systemd in detail.
#LinuxTutorialForBeginners #WhatisLinux #LinuxAdministrationTutorial #Linux #LinuxCommands #Intellipaat

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Generative AI
3,093,185 Views · 4 years ago

In this video I am going to discuss about the complete road map to prepare for deep learning which will be definitely helpful for preparing for interviews
Complete DL Playlist :https://www.youtube.com/playli....st?list=PLZoTAELRMXV
⭐ Kite is a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I've been using Kite for a few months and I love it! https://www.kite.com/get-kite/?utm_medium=referral&utm_source=youtube&utm_campaign=krishnaik&utm_content=description-only
All Playlist In My channel
Complete ML Playlist :https://www.youtube.com/playli....st?list=PLZoTAELRMXV
Complete NLP Playlist:https://www.youtube.com/playli....st?list=PLZoTAELRMXV
Docker End To End Implementation: https://www.youtube.com/playli....st?list=PLZoTAELRMXV
Live stream Playlist: https://www.youtube.com/playli....st?list=PLZoTAELRMXV
Machine Learning Pipelines: https://www.youtube.com/playli....st?list=PLZoTAELRMXV
Pytorch Playlist: https://www.youtube.com/playli....st?list=PLZoTAELRMXV
Feature Engineering :https://www.youtube.com/playli....st?list=PLZoTAELRMXV
Live Projects :https://www.youtube.com/playli....st?list=PLZoTAELRMXV
Kaggle competition :https://www.youtube.com/playli....st?list=PLZoTAELRMXV
Mongodb with Python :https://www.youtube.com/playli....st?list=PLZoTAELRMXV
MySQL With Python :https://www.youtube.com/playli....st?list=PLZoTAELRMXV
Deployment Architectures:https://www.youtube.com/playli....st?list=PLZoTAELRMXV
Amazon sagemaker :https://www.youtube.com/playli....st?list=PLZoTAELRMXV

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#deeplearning
#dl
#deeplearninginterviews

Machine Learning
2,739,132 Views · 4 years ago

Generative AI
35 Views · 2 years ago

LangChain is a framework for developing applications powered by large language models (LLMs).
code github: https://github.com/krishnaik06/Updated-Langchain

LangChain simplifies every stage of the LLM application lifecycle:
Development: Build your applications using LangChain's open-source building blocks and components. Hit the ground running using third-party integrations and Templates.
Productionization: Use LangSmith to inspect, monitor and evaluate your chains, so that you can continuously optimize and deploy with confidence.
Deployment: Turn any chain into an API with LangServe.

Timestamp

00:00:00 Introduction
00:00:46 Introduction To Langchain Ecosystem
00:09:09 Chatbot application Usinjg Langchain
00:35:36 Chain As Api For Deployment
01:02:16 Complete Basic Rag Pipeline
01:32:07 Advanced Rag Pipeline
01:51:34 Advanced RAG Pipeline With Multiple Data Source
02:16:10 End To End LAngchain Project USing Groq Inference Engine
02:44:07 Hugging Face With Langchain

-------------------------------------------------------------------------------------------------
Support me by joining membership so that I can upload these kind of videos
https://www.youtube.com/channe....l/UCNU_lfiiWBdtULKOw
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Fresh Langchain Playlist: https://www.youtube.com/watch?v=KmQOlg5YfU0&list=PLZoTAELRMXVOQPRG7VAuHL--y97opD5GQ
►LLM Fine Tuning Playlist: https://www.youtube.com/watch?v=Vg3dS-NLUT4&list=PLZoTAELRMXVN9VbAx5I2VvloTtYmlApe3
►AWS Bedrock Playlist: https://www.youtube.com/watch?v=2maPaQutcWs&list=PLZoTAELRMXVP8-wzKPtrRST3jNCprvMZj
►Llamindex Playlist: https://www.youtube.com/watch?v=1eym7BTnuNg&list=PLZoTAELRMXVNOWh1SDXt5NFujQMOt-CWy

►Google Gemini Playlist: https://www.youtube.com/watch?v=it0l6lx3qI0&list=PLZoTAELRMXVNbDmGZlcgCA3a8mRQp5axb&pp=gAQBiAQB
►Langchain Playlist: https://www.youtube.com/watch?v=4O1rs7mrNDo&list=PLZoTAELRMXVORE4VF7WQ_fAl0L1Gljtar&pp=gAQBiAQB
►Data Science Projects:
https://www.youtube.com/watch?v=S_F_c9e2bz4&list=PLZoTAELRMXVPS-dOaVbAux22vzqdgoGhG&pp=iAQB

►Learn In One Tutorials

Statistics in 6 hours: https://www.youtube.com/watch?v=LZzq1zSL1bs&t=9522s&pp=ygUVa3Jpc2ggbmFpayBzdGF0aXN0aWNz

End To End RAG LLM APP Using LlamaIndex And OpenAI- Indexing And Querying Multiple Pdf's

Machine Learning In 6 Hours: https://www.youtube.com/watch?v=JxgmHe2NyeY&t=4733s&pp=ygUba3Jpc2ggbmFpayBtYWNoaW5lIGxlYXJuaW5n

Deep Learning 5 hours : https://www.youtube.com/watch?v=d2kxUVwWWwU&t=1210s&pp=ygUYa3Jpc2ggbmFpayBkZWVwIGxlYXJuaW5n

►Learn In a Week Playlist

Statistics:https://www.youtube.com/watch?v=11unm2hmvOQ&list=PLZoTAELRMXVMgtxAboeAx-D9qbnY94Yay

Machine Learning : https://www.youtube.com/watch?v=z8sxaUw_f-M&list=PLZoTAELRMXVPjaAzURB77Kz0YXxj65tYz

Deep Learning:https://www.youtube.com/watch?v=8arGWdq_KL0&list=PLZoTAELRMXVPiyueAqA_eQnsycC_DSBns

NLP : https://www.youtube.com/watch?v=w3coRFpyddQ&list=PLZoTAELRMXVNNrHSKv36Lr3_156yCo6Nn
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Generative AI
35 Views · 2 years ago

This is a 1 hour general-audience introduction to Large Language Models: the core technical component behind systems like ChatGPT, Claude, and Bard. What they are, where they are headed, comparisons and analogies to present-day operating systems, and some of the security-related challenges of this new computing paradigm.
As of November 2023 (this field moves fast!).

Context: This video is based on the slides of a talk I gave recently at the AI Security Summit. The talk was not recorded but a lot of people came to me after and told me they liked it. Seeing as I had already put in one long weekend of work to make the slides, I decided to just tune them a bit, record this round 2 of the talk and upload it here on YouTube. Pardon the random background, that's my hotel room during the thanksgiving break.

- Slides as PDF: https://drive.google.com/file/....d/1pxx_ZI7O-Nwl7ZLNk (42MB)
- Slides. as Keynote: https://drive.google.com/file/....d/1FPUpFMiCkMRKPFjhi (140MB)

Few things I wish I said (I'll add items here as they come up):
- The dreams and hallucinations do not get fixed with finetuning. Finetuning just "directs" the dreams into "helpful assistant dreams". Always be careful with what LLMs tell you, especially if they are telling you something from memory alone. That said, similar to a human, if the LLM used browsing or retrieval and the answer made its way into the "working memory" of its context window, you can trust the LLM a bit more to process that information into the final answer. But TLDR right now, do not trust what LLMs say or do. For example, in the tools section, I'd always recommend double-checking the math/code the LLM did.
- How does the LLM use a tool like the browser? It emits special words, e.g. |BROWSER|. When the code "above" that is inferencing the LLM detects these words it captures the output that follows, sends it off to a tool, comes back with the result and continues the generation. How does the LLM know to emit these special words? Finetuning datasets teach it how and when to browse, by example. And/or the instructions for tool use can also be automatically placed in the context window (in the “system message”).
- You might also enjoy my 2015 blog post "Unreasonable Effectiveness of Recurrent Neural Networks". The way we obtain base models today is pretty much identical on a high level, except the RNN is swapped for a Transformer. http://karpathy.github.io/2015..../05/21/rnn-effective
- What is in the run.c file? A bit more full-featured 1000-line version hre: https://github.com/karpathy/ll....ama2.c/blob/master/r

Chapters:
Part 1: LLMs
00:00:00 Intro: Large Language Model (LLM) talk
00:00:20 LLM Inference
00:04:17 LLM Training
00:08:58 LLM dreams
00:11:22 How do they work?
00:14:14 Finetuning into an Assistant
00:17:52 Summary so far
00:21:05 Appendix: Comparisons, Labeling docs, RLHF, Synthetic data, Leaderboard
Part 2: Future of LLMs
00:25:43 LLM Scaling Laws
00:27:43 Tool Use (Browser, Calculator, Interpreter, DALL-E)
00:33:32 Multimodality (Vision, Audio)
00:35:00 Thinking, System 1/2
00:38:02 Self-improvement, LLM AlphaGo
00:40:45 LLM Customization, GPTs store
00:42:15 LLM OS
Part 3: LLM Security
00:45:43 LLM Security Intro
00:46:14 Jailbreaks
00:51:30 Prompt Injection
00:56:23 Data poisoning
00:58:37 LLM Security conclusions
End
00:59:23 Outro

Generative AI
38 Views · 7 months ago

🔥PGP in Generative AI and ML in collaboration with Illinois Tech: https://www.edureka.co/executi....ve-programs/pgp-gene
🔥MLOps Certification Course Online: https://www.edureka.co/mlops-c....ertification-trainin
🔥Integrated MS+PGP Program in Data Science & AI:https://www.edureka.co/dual-ce....rtification-programs

This *Machine Learning Full Course* is a comprehensive program that provides learners with the skills and expertise required to excel in machine learning. In this course, we will gain proficiency in programming languages like Python and libraries such as TensorFlow and PyTorch. Through a combination of theory and hands-on practice, explore key concepts such as supervised and unsupervised learning, neural networks, and model optimization.

00:00:00 Introduction
00:01:45 What is Machine learning?
00:18:19 Types of Machine Learning Models
00:25:54 Mathematics for Machine Learning
02:08:35 Machine Learning Algo
02:30:28 How to select the correct predictive modeling techniques?
02:42:37 Linear Regression Algorithm
02:50:02 Logistic Regression Algorithm
03:37:12 Linear Regression Vs Logistic Regression
03:40:42 Decision Tree Algorithm
04:26:16 Random Forest
04:51:31 KNN Algorithm
05:23:54 Naive Bayes Classifier
05:45:36 Support Vector Machine
06:11:07 K- Means Clustering Algorithm
06:34:26 Hierarchical Clustering
06:40:48 Apriori Algorithm Explained
06:58:18 Introduction to TensorFlow
07:21:54 Azure Machine Learning
07:48:13 AWS Machine Learning
08:28:41 Top Machine Learning Tools & Frameworks
08:38:37 MLOps for Beginners
08:51:04 How to Become a Machine Learning Engineer?
09:00:34 Machine learning Engineer Skills
09:08:43 Machine Learning Roadmap
09:18:34 Machine Learning Tips
09:25:14 Machine Learning Interview Question & Answers

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Generative AI
32 Views · 7 months ago

🔥PGP in Generative AI and ML in collaboration with Illinois Tech: https://www.edureka.co/executi....ve-programs/pgp-gene
🔥Integrated MS+PGP Program in Data Science & AI:https://www.edureka.co/dual-ce....rtification-programs
This is the ultimate AI full course for absolute beginners who want to understand and start building with Artificial Intelligence — step by step and from scratch.
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00:01:48 What is Artificial Intelligence?
00:04:02 Types Of Artificial Intelligence
00:14:16AI vs Machine Learning vs Deep Learning
00:28:00 What is Deep Learning?
00:39:13 What is LLM? (Large Language Model)
00:55:43 What is AI Ethics?
01:04:19 What is Responsible AI?
01:12:33 Artificial Intelligence with Python
02:51:29 Artificial Neural Network
03:23:17 Recurrent Neural Networks
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04:12:44 Introduction to TensorFlow
04:36:21 OpenAI o3-mini Model
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05:36:17 Top 5 AI Frameworks
05:51:02 How AI is Transforming Studio Ghibli-Style Animation?
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08:12:03 AI Engineer Learning Path 2025
08:19:15 Top 15 AI Skills You Need to Know
08:27:35 Build AI Applicant Tracking System (ATS)
08:43:09 Artificial Intelligence Interview Questions & Answers

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📝Feel free to share your comments below.📝

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Generative AI
3,662 Views · 3 years ago

There is so much being said about artificial intelligence these days. In order to understand this latest wave of AI, it is important to know how it works and why this moment is different from developments in the past.

WSJ science reporter Eric Niiler joins host Zoe Thomas for the first installment of Tech News Briefing’s special series Artificially Minded. New episodes drop every Monday in April.

0:00 AI basics
2:18 What is machine learning?
4:20 How generative AI like ChatGPT works
6:07 AI in our daily lives
7:45 How people on the street feel about AI
8:38 Why AI is a hot topic right now
9:50 Risks and rules surrounding AI

Tech News Briefing
WSJ’s tech podcast featuring breaking news, scoops and tips on tech innovations and policy debates, plus exclusive interviews with movers and shakers in the industry.

For more episodes of WSJ’s Tech News Briefing: https://link.chtbl.com/WSJTechNewsBriefing

#AI #ArtificialIntelligence #WSJ

Generative AI
2,952,116 Views · 4 years ago

Dr. B.S. Manjunath, distinguished professor in the Department of Electrical & Computer Engineering at UC Santa Barbara, discusses the use of computer video technology to assist with visual analysis of issues like human stress and disease, methane gas release, and underwater mapping. He also discusses what we know about human vision, how it works compared to how computer vision works. Recorded on 10/21/2021. [4/2022] [Show ID: 37871]

More from: GRIT Talks
(https://www.uctv.tv/grit)

Explore More Science & Technology on UCTV
(https://www.uctv.tv/science)
Science and technology continue to change our lives. University of California scientists are tackling the important questions like climate change, evolution, oceanography, neuroscience and the potential of stem cells.

UCTV is the broadcast and online media platform of the University of California, featuring programming from its ten campuses, three national labs and affiliated research institutions. UCTV explores a broad spectrum of subjects for a general audience, including science, health and medicine, public affairs, humanities, arts and music, business, education, and agriculture. Launched in January 2000, UCTV embraces the core missions of the University of California -- teaching, research, and public service – by providing quality, in-depth television far beyond the campus borders to inquisitive viewers around the world.
(https://www.uctv.tv)

Generative AI
19 Views · 11 days ago

Start building AI apps for free with lovable and use code TINA20YT for a 20% discount at https://dub.link/tina-yt
🤖 Want to get ahead in your career using AI? Join the waitlist for my AI Agent Bootcamp: https://www.lonelyoctopus.com/ai-agent-bootcamp

🤝 Business Inquiries: https://tally.so/r/mRDV99

In this video I show you how to build your first AI agent in 26 minutes using no code and n8n.

🖱️Links mentioned in video
========================
n8n Metaprompt: hhttps://docs.google.com/docume....nt/d/1OoWDiwsr9zjCoo

🔗Affiliates
========================
My SQL for data science interviews course (10 full interviews):
https://365datascience.com/lea....rn-sql-for-data-scie

365 Data Science:
https://365datascience.pxf.io/WD0za3 (link for 57% discount for their complete data science training)

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🎥 My filming setup
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⏰Timestamps
========================
00:00 — Intro
00:24 — What is an AI Agent?
02:16 — Quiz 1
02:34 — Building An AI Research/Learning Agent in n8n
15:28 — Agent Guardrails & Error Handling
20:03 — Agent Orchestration
24:15 — Deploying the AI Agent
24:44 — Final Result
26:20 — Quiz 2

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🎥Other videos you might be interested in
========================
How I consistently study with a full time job:
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How I would learn to code (if I could start over):
https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s

🐈‍⬛🐈‍⬛About me
========================
Hi, my name is Tina and I'm an ex-Meta data scientist turned internet person!

📧Contact
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youtube: youtube comments are by far the best way to get a response from me!
linkedin: https://www.linkedin.com/in/tinaw-h/
email for business inquiries only: [email protected]

========================
Some links are affiliate links and I may receive a small portion of sales price at no cost to you. I really appreciate your support in helping improve this channel! :)

Generative AI
3,753 Views · 3 years ago

🔥DevOps Engineer Master Program (Discount Code: YTBE15): https://www.simplilearn.com/devops-engineer-masters-program-certification-training?utm_campaign=?utm_campaign=WhatisJenkins-LFDrDnKPOTg&utm_medium=DescriptionFF&utm_source=youtube
🔥Post Graduate Program In DevOps: https://www.simplilearn.com/pgp-devops-certification-training-course?utm_campaign=WhatisJenkins-LFDrDnKPOTg&utm_medium=DescriptionFF&utm_source=youtube
This Jenkins tutorial will help you understand what is Jenkins, issues before Jenkins came in, what is continuous integration, features of Jenkins, Jenkins architecture, and you will also see a case study using Jenkins. Jenkins is a continuous integration tool that allows continuous development, test and deployment of newly created codes. Jenkins is primarily a build and release tool, it was written originally by the community as a build and release tool. They did not target it as a continuous integration, continuous deployment or an orchestration tool, it was simply used for releasing builds to production but now Jenkins has a lot of other uses like it's a continuous integration tool. It allows developers to make sure that their environments have the exact same code as their code repositories. Now let us get started and understand how Jenkins is being used in DevOps.

Below topics are explained in this Jenkins tutorial:
1. Before Jenkins ( 00:46 )
2. Issues before Jenkins
3. What is Jenkins? ( 02:17 )
4. What is continuous integration? ( 04:10 )
5. Continuous integration tools ( 05:45 )
6. Features of Jenkins ( 08:43 )
7. Jenkins pipeline ( 10:50 )
8. Jenkins architecture ( 12:52 )
9. Jenkins case study ( 14:43 )

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

Download DevOps career guide: https://bit.ly/2x0WShU

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

Watch more videos on DevOps: https://www.youtube.com/watch?v=glwcz5DvY88&list=PLEiEAq2VkUUJS6zkGgXeWw9l32EwRoYdR

#DevOps #DevOpsTutorial #DevOpsTraining #DevOpsTools #Chef #Jenkins #Puppet #Simplilearn

➡️ Post Graduate Program In DevOps
DevOps training course will bring out the scientist in you. You'll learn how to formalize and document development processes and create a self-documenting system. DevOps certification course will also cover advanced tools like Puppet, SaltStack, and Ansible that help self-governance and automated management at scale.

✅ Key Features
- Caltech CTME Post Graduate Certificate
- Enrolment in Simplilearn’s JobAssist
- Receive upto 25 CEUs from Caltech CTME upon course completion
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- Master classes taught by Caltech CTME instructor
- 8X higher interaction in live online classes conducted by industry experts
- Online Convocation by Caltech CTME Program Director
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- DevOps Methodology
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- Source Control
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🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

Generative AI
25 Views · 7 months ago

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai

September 23, 2025
This lecture covers:
1. Class introduction
2. Examples of deep learning projects
3. Course details

To learn more about enrolling in this course, visit: https://online.stanford.edu/co....urses/cs230-deep-lea

To follow along with the course schedule and syllabus, visit: https://cs230.stanford.edu/syllabus/

More lectures will be published regularly.
View the playlist: https://www.youtube.com/playli....st?list=PLoROMvodv4r

Andrew Ng
Founder of DeepLearning.AI
Adjunct Professor, Stanford University’s Computer Science Department

Kian Katanforoosh
CEO and Founder of Workera
Adjunct Lecturer, Stanford University’s Computer Science Department

tejaswani
85 Views · 2 years ago

Introduction to .NET | C#.NET Tutorial | Mr. Bangar Raju** For Online Training Registration: https://goo.gl/r6kJbB ► Call: +91-8179191999Join Here For C Language Updates : https://t.me/ClanguageupdatesSubscribe to our channel and hit the bell 🔔🔔🔔 icon to get video updates. 💡 Visit Our Websites For Classroom Training: https://nareshit.in/c-net-training/ For Online Training: https://nareshit.com/c-net-online-training/#c #cSharpDotnet #dotNet #course #Tutorials #Training #Videos--------------------------💡 About NareshIT:"Naresh IT is having 14+ years of experience in software training industry and the best Software Training Institute for online training, classroom training, weekend training, corporate training of Hadoop, Salesforce, AWS, DevOps, Spark, Data Science, Python, Tableau, RPA , Java, C#.NET, ASP.NET, Oracle, Testing Tools, Silver light, Linq, SQL Server, Selenium, Android, iPhone, C Language, C++, PHP and Digital Marketing in USA, Hyderabad, Chennai and Vijayawada, Bangalore India which provides online training across all the locations --------------------------💡 Our Online Training Features: 🎈 Training with Real-Time Experts 🎈 Industry Specific Scenario’s 🎈 Flexible Timings 🎈 Soft Copy of Material 🎈 Share Videos of each and every session.--------------------------💡 Please write back to us at 📧 [email protected]/ 📧 [email protected] or Call us at the USA: ☎+1404-232-9879 or India: ☎ +918179191999--------------------------💡 Check The Below Links► For Course Reg: https://goo.gl/r6kJbB► Subscribe to Our Channel: https://goo.gl/q9ozyG► Circle us on G+: https://plus.google.com/+NareshIT► Like us on Facebook: https://www.facebook.com/NareshIT► Follow us on Twitter: https://twitter.com/nareshitek► Follow us on Linkedin: https://goo.gl/CRBZ5F► Follow us on Instagram: https://goo.gl/3UXYK3
visit: ⁣⁣https://nareshit.com/courses/c....-sharp-net-online-tr

Machine Learning
56 Views · 3 years ago

AI robots, with Elon Musk, Ameca, Boston Dynamics. To learn more about AI, please visit https://brilliant.org/digitalengine where you'll also find loads of fun courses on maths, science and computer science.

Here's the first video on our new channel, Go Rogue:
https://youtu.be/k07unSpmBSg

Thanks to Brilliant for sponsoring this video.

To stay at the stunning Appleby Castle: http://applebycastle.org

For custom nerf blasters: https://outofdarts.com

Please don't feel anxious about this - the AI in this video obviously isn't dangerous (GPT-3 isn't conscious). I'm optimistic that the future of AI will be great (if we're careful).

Sources:

Here are the records for the original GPT-3 chat (screenshots and a video to avoid any doubt). I've marked the words from Elon Musk and Ameca on the first page (which I gave the AI to respond to in the previous video):
https://www.dropbox.com/sh/82i....wek5rnofmrn2/AADM4WO

Tesla's AI day 2, introducing the Tesla Optimus robot:
https://www.youtube.com/watch?v=ODSJsviD_SU&t=1198s

Researchers from Oxford University and DeepMind on AI risks:
https://onlinelibrary.wiley.co....m/doi/10.1002/aaai.1

Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action:
https://arxiv.org/abs/2207.04429

Generative AI
4,309 Views · 3 years ago

🔥Artificial Intelligence Engineer Program (Discount Coupon: YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=DLin5MinScribe-6M5VXKLf4D4&utm_medium=DescriptionFF&utm_source=youtube
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This video on "What is Deep Learning" provides a fun and simple introduction to its concepts. We learn about where Deep Learning is implemented and move on to how it is different from machine learning and artificial intelligence. We will also look at what neural networks are and how they are trained to recognize digits written by hand. We further look at some popular applications of Deep Learning. So, let’s dive into the world of Deep Learning with this video.

Don't forget to take the quiz at 04:26!

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

Watch more videos on Deep Learning: https://www.youtube.com/watch?v=FbxTVRfQFuI&list=PLEiEAq2VkUUIYQ-mMRAGilfOKyWKpHSip

#DeepLearning #WhatIsDeepLearning #DeepLearningTutorial #DeepLearningCourse #DeepLearningExplained #Simplilearn

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Simplilearn’s Deep Learning course will transform you into an expert in Deep Learning techniques using TensorFlow, the open-source software library designed to conduct machine learning & deep neural network research. With our Deep Learning course, you'll master Deep Learning and TensorFlow concepts, learn to implement algorithms, build artificial neural networks and traverse layers of data abstraction to understand the power of data and prepare you for your new role as Deep Learning scientist.

Why Deep Learning?

It is one of the most popular software platforms used for Deep Learning and contains powerful tools to help you build and implement artificial neural networks.
Advancements in Deep Learning are being seen in smartphone applications, creating efficiencies in the power grid, driving advancements in healthcare, improving agricultural yields, and helping us find solutions to climate change. With this Tensorflow course, you’ll build expertise in Deep Learning models, learn to operate TensorFlow to manage neural networks and interpret the results. According to payscale.com, the median salary for engineers with Deep Learning skills tops $120,000 per year.

You can gain in-depth knowledge of Deep Learning by taking our Deep Learning certification training course. With Simplilearn’s Deep Learning course, you will prepare for a career as a Deep Learning engineer as you master concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms. Those who complete the course will be able to:
1. Understand the concepts of TensorFlow, its main functions, operations and the execution pipeline
2. Implement Deep Learning algorithms, understand neural networks and traverse the layers of data abstraction which will empower you to understand data like never before
3. Master and comprehend advanced topics such as convolutional neural networks, recurrent neural networks, training deep networks and high-level interfaces
4. Build Deep Learning models in TensorFlow and interpret the results
5. Understand the language and fundamental concepts of artificial neural networks
6. Troubleshoot and improve Deep Learning models
7. Build your own Deep Learning project
8. Differentiate between machine learning, Deep Learning and artificial intelligence

There is booming demand for skilled Deep Learning engineers across a wide range of industries, making this Deep Learning course with TensorFlow training well-suited for professionals at the intermediate to advanced level of experience. We recommend this Deep Learning online course particularly for the following professionals:

1. Software engineers
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Learn more at: https://www.simplilearn.com/deep-learning-course-with-tensorflow-training?utm_campaign=DeepLearningScribein5min&utm_medium=Description&utm_source=youtube

For more information about Simplilearn’s courses, visit:
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🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

Machine Learning
19 Views · 2 years ago

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

🔹Check out our Playlist: http://bit.ly/2taym8X
🔹Blog Series: https://bit.ly/2PX5lIp

🔴Please 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 Online Training and Certification-----------------------

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---------------------------Edureka Masters Programs-------------------------

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🟣Cloud Architect Masters Program: https://bit.ly/3i9z0eJ
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---------------------------------------Edureka Post Graduate Courses-------------------------------------------

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

About the Course :

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.
--------------------------------------
Why Learn Machine Learning with Python?

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

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




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