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Data Analytics
27 Views · 3 years ago

NASA have made a wheel capable of withstanding tough Martian terrain, but just how indestructible is it? Head to https://hensonshaving.com/veritasium and enter code 'Veritasium' for 100 free blades with the purchase of a razor. Make sure to add both the razor and the blades to your cart for the code to take effect.

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A huge thanks to everyone at NASA Glenn Research Center for having us at the SLOPE Lab, showing their work on this indestructible tire, and helping with the science and animation.
A huge thanks to everyone at Smart Tire Co for showing us around their facility, teaching us about nitinol, and letting us flatten their tires.

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References:

Steel Rod Footage - https://ve42.co/SteelRod

H. Föll. 8.4.1 - Martensite. University of Kiel, Faculty of Engineering - https://ve42.co/Foell

Bhattacharya, K. (1998). Theory of martensitic microstructure and the shape-memory effect - https://ve42.co/Bhattacharya1998

Bhattacharya, K. (2003). Microstructure of martensite: why it forms and how it gives rise to the shape-memory effect (Vol. 2). Oxford University Press. - https://ve42.co/MartensiteBook

Shaw, J. A. (2008). Tips and tricks for characterizing shape memory alloy wire: part 1—differential scanning calorimetry and basic phenomena. Experimental Techniques - https://ve42.co/Shaw2008

Buehler, W. J., Gilfrich, J. V., & Wiley, R. C. (1963). Effect of low‐temperature phase changes on the mechanical properties of alloys near composition TiNi. Journal of applied physics, 34(5), 1475-1477.

Kauffman, G. B., & Mayo, I. (1997). The story of nitinol: the serendipitous discovery of the memory metal and its applications. The chemical educator, 2, 1-21. - https://ve42.co/Kauffman1997

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Special thanks to our Patreon supporters:
Emil Abu Milad, 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, Cy ‘kkm’ K’Nelson, Sam Lutfi.

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Written by Derek Muller, Katie Barnshaw, & Emily Zhang
Edited by Trenton Oliver
Animated by Mike Radjabov & Ivy Tello
Coordinated by Emily Zhang
Filmed by Derek Muller, Emily Zhang & Raquel Nuno
Additional video/photos supplied by Getty Images & Pond5
Music from Epidemic Sound
Produced by Derek Muller, Petr Lebedev, & Emily Zhang
Thumbnail by Ignat Berbeci

Data Analytics
27 Views · 3 years ago

Lightbulbs might be the best idea ever – just not for light. 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.

A huge thanks to David Lovett for showing me his awesome relay and vacuum tube based computers. Check out his YouTube channel @UsagiElectric

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References:
Herring, C., & Nichols, M. H. (1949). Thermionic emission. Reviews of modern physics, 21(2), 185. – https://ve42.co/Herring1949

Goldstine, H. H., & Goldstine, A. (1946). The electronic numerical integrator and computer (eniac). Mathematical Tables and Other Aids to Computation, 2(15), 97-110. – https://ve42.co/ENIAC

Shannon, C. E. (1938). A symbolic analysis of relay and switching circuits. Electrical Engineering, 57(12), 713-723. – https://ve42.co/Shannon38

Boole, G. (1847). The mathematical analysis of logic. Philosophical Library. – https://ve42.co/Boole1847

The world’s first general purpose computer turns 75 – https://ve42.co/ENIAC2

Dylla, H. F., & Corneliussen, S. T. (2005). John Ambrose Fleming and the beginning of electronics. Journal of Vacuum Science & Technology A: Vacuum, Surfaces, and Films, 23(4), 1244-1251. – https://ve42.co/Dylla2005

Stibitz, G. R. (1980). Early computers. In A History of Computing in the Twentieth Century (pp. 479-483). Academic Press.

ENIAC’s Hydrogen Bomb Calculations – https://ve42.co/ENIAC3


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Special thanks to our Patreon supporters:
Emil Abu Milad, 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, Cy ‘kkm’ K’Nelson, Sam Lutfi.

▀▀▀
Written by Petr Lebedev, Derek Muller and Kovi Rose
Edited by Trenton Oliver
Animated by Mike Radjabov, Ivy Tello and Fabio Albertelli
Filmed by Derek Muller & Raquel Nuno
Additional video/photos supplied by Getty Images & Pond5
Music from Epidemic Sound
Produced by Derek Muller, Petr Lebedev, & Emily Zhang
Thumbnail by Ignat Berbeci

Data Analytics
27 Views · 2 years ago

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 : https://www.edureka.co/python-....programming-certific (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka video on Python Developer is a part of the Python Tutorial Series which will help you understand How to become a Python developer. Python Developers are among the most in-demand professionals in the market and hence bag a hefty salary per annum.
🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py
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⏩ NEW Top 10 Technologies To Learn In 2024 - https://www.youtube.com/watch?v=vaLXPv0ewHU

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
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📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/


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

Generative AI
27 Views · 2 years ago

🔵 Intellipaat Google Cloud Architect Certification exam training: https://intellipaat.com/google....-cloud-certification

🔵 Want to learn Cloud Computing from scratch - https://youtu.be/a5KmkeQ714k

In this GCP Course video you will learn the following topics, Introduction to Google Cloud Platform along with a wide range of topics such as why use Google Cloud Platform, What is Cloud Computing, How to create an instance in GCP, Virtual Private Network in GCP, Identity Access Management, Machine Learning in GCP, Cloud Vision API, GCP Interview Questions and Answers to make your interview ready.

#GoogleCloudPlatformCourse #GCPCourse #GCPTutorial #GCP #GoogleCloudPlatform #GoogleCloud #GoogleCloudTraining #GCPTutorialForBeginners #GCPCertification #GCPIntellipaat #intellipaat

🔵 Following topics are covered in this session:
00:00 - Google Cloud Platform
1:07 - What is Cloud
14:57 - What is Google Cloud Platform
21:49 - GCP Product & Services
32:52 - Activation Google Cloud Platform Free Tier
1:04:18 - VPC ( Virtual Private Network)
1:17:00 - Bastion Host
1:18:56 - VPC Key Concepts
2:25:22 - Connect On-Premise / Other Cloud to GCP
2:28:26 - Typical VPN Setup
2:33:32 - Comparison
2:37:33 - Cloud Load Balancer
2:49:32 - Predefined Machine Types
2:55:58 - VM Class
3:48:24 - App Engine Standard Environment Runtime
4:12:18 - Cloud IAM
5:08:08 - Resource Hierarchy
5:16:29 - Policy Inheritance is Transitive
5:46:38 - Artificial Intelligence
6:14:46 - Developer & Management Tools
7:01:33 - Google Cloud Interview Questions


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If you’ve enjoyed this Google Cloud Platform Tutorial live session, Like us and Subscribe to our channel for more informative tutorials.
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Generative AI
27 Views · 5 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 “vague app ideas” into real, shippable products. Was walks me through a better planning workflow using Claude Code’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 “Ralph” automation, why context windows matter, and how taste + audacity are the real differentiators in 2026 software.

Timestamps
00:00 – Intro
01:22 – Claude Code Best Practices
05:31 – Claude Code Plan Mode
09:30 – The Ask User Question Tool
14:52 – Don’t start with Ralph automation (get reps first)
16:36 – What are “Ralph loops” and why plans and documentation matter most
18:41 – Ras’s Ralph setup: progress tracking + tests + linting
23:48 – Tips & tricks: don’t obsess over MCP/skills/plugins
27:44 – 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 → clean outputs.
* The biggest unlock is planning in features + tests, not broad product descriptions.
* Claude Code’s Ask User Question Tool forces real clarity on workflow, UI/UX, costs, and technical decisions.
* If you haven’t shipped anything, don’t hide behind automation—build manually before using “Ralph.”
* Context management matters: long sessions can degrade quality, so restart earlier than you think.

Numbered Section Summaries

* The Real Reason People Get “AI Slop” I frame the episode around a simple idea: if you feed agents sloppy instructions, you’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: don’t describe “the product,” 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 “generate code” to “build something serious.” The move is writing and running tests after each feature, so you don’t stack feature two on top of a broken feature one.

* Why Default Planning Mode Isn’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 assumptions—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 “I built the app but it’s not what I wanted.” The interview-style planning forces trade-offs early instead of late.

* Don’t Use Ralph Until You’ve Built Without It: Ras makes a strong case for reps: if you can’t ship something end-to-end yet, automation won’t save you—it’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: don’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, “audacity + taste” 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

Data Analytics
26 Views · 2 years ago

🔥Intellipaat Splunk training: https://intellipaat.com/splunk-training/
In this splunk tutorial for beginners video you will learn introduction to splunk, the various components of splunk, splunk architecture, knowledge objects, configurational files, forwarders in splunk, monitoring inputs, additional knowledge objects, parsing in splunk and troubleshooting methods & tools.
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📌 Do subscribe to Intellipaat channel & get regular updates on videos: http://bit.ly/Intellipaat

🔗 Watch splunk video tutorials here: https://goo.gl/Q8SGVR

📕 Read complete splunk tutorial here: https://intellipaat.com/tutorial/splunk-tutorial/

📰Interested to learn splunk still more? Please check similar what is splunk blog here:- https://intellipaat.com/blog/what-is-splunk/

📝Following topics are covered in this video:
00:00 - Splunk Training
01:04 - Splunk Overview
04:04 - Why Splunk?
06:43 - What is Splunk?
08:00 - Uses of Splunk
11:47 - Splunk Architecture
15:19 - Splunk Components
16:51 - Processing Components
20:16 - Management Components
23:41 - Splunk Administrator
27:30 - Splunk Deployment Plan
40:30 - Features of Nexus Repository
44:39 - Splunk Data Pipeline
51:03 - Splunk Installation
01:00:47 - Splunk License Management
01:02:19 - Types of Licenses
01:05:11 - License Requirements
01:06:00 - Add Licenses
01:08:50 - License Violations
01:11:16 - Identifying Splunk Admin Role
01:13:20 - Splunk Web Basic Navigation
01:20:44 - Enabling the Monitoring Console
01:24:45 - Running Basic Searches
01:32:44 - Learning common searching commands
01:33:53 - Table command
01:36:00 - Rename Command
01:37:50 - Fields Command
01:38:37 - Dedup Command
01:41:40 - Sort Command
01:43:34 - Top Command
01:44:43 - Rare Command
01:45:40 - Stats Command
01:48:24 - Time range of a Search
01:52:21 - Autocomplete & Syntax Highlighting
01:55:15 - Identifying the contents of search results
02:02:00 - How to write better searches
02:04:53 - Know the type of search
02:06:25 - Command Types and parallel Processing
02:09:57 - Tipes for tuning searches
02:14:01 - How Lexicographical order works
02:15:11 - Guidelines for applying lexicographical

Are you looking for something more? Enroll in our splunk Course and become a certified splunk Professional (https://intellipaat.com/splunk-training/). It is a 26 hrs instructor led splunk training provided by Intellipaat which is completely aligned with industry standards and certification bodies.

If you’ve enjoyed this splunk tutorial for beginners , Like us and Subscribe to our channel for more similar splunk videos and free splunk tutorials.
Got any questions about splunk course? Ask us in the comment section below.
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Intellipaat Edge
1. 24*7 Life time Access & Support
2. Flexible Class Schedule
3. Job Assistance
4. Mentors with +14 yrs
5. Industry Oriented Course ware
6. Life time free Course Upgrade
------------------------------
Why should you watch this Splunk tutorial?

You can learn splunk much faster than any other technology and this splunk tutorial helps you do just that. splunk is one of the best technological advances that is finding increased applications for big data and in a lot of industry domains. We are offering the top splunk tutorial that has been created with extensive inputs from the industry experts so that you can learn splunk and apply it for real world scenarios.

Why Splunk is important?

Splunk is one of the most popular tool use to parse humongous machine-generated data to derive valuable insights from it. Taking the Intellipaat splunk training can help professionals to build a solid career in a rising technology domain and get the best jobs in top organizations.

Why should you opt for a Splunk career?

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Data Analytics
26 Views · 2 years ago

🔥Enroll for the Data Analytics Course: https://intellipaat.com/data-a....nalytics-master-trai

#DataAnalyticsCourse #DataAnalystForBeginners #DataAnalyticsTraining #Intellipaat

This Data Analytics Course covers all the important skill sets required to become a Data Analyst!

We will begin this Data Analytics course by getting introduced to an important prerequisite, which is Python Programming Language, then we will look into Statistics, Probability vs. Statistics, as well as SQL. Next, we will discuss the Difference Between NoSQL And SQL, SQL Server Fundamentals, Data Sources in PowerBI, SQL with PowerBI, etc. Finally, we will cover Data Transformation and Modeling with PowerBI as well as Data Visualization with Power BI Service. Finally, we will cover the most commonly asked Data Analytics interview questions.

🔵 Following topics are covered in this Data Analytics Course
00:00:00 - Introduction
00:03:19 - What is Data Analytics?
00:08:12 - Introduction to Python
00:21:17 - Basics of Python
00:53:59 - Global Variable in Python
03:02:22 - Introduction to Statistics
03:14:21 - Types of Data
03:20:16 - The Central Tendencies
03:26:46 - Variability and Spread
03:27:55 - Implementation in R
03:34:46 - Probability
03:37:26 - Probability Terminology
03:45:02 - Probability Distribution
03:46:51 - Covariance and Correlation
03:57:37 - Hypothesis Testing
04:01:30 - Decision Error
04:25:58 - Types of Rescaling
04:32:18 - Introduction to SQL
04:52:23 - What is NoSQL?
05:04:01 - What is DBMS and RDBMS?
05:17:09 - SQL Server Fundamentals
05:46:29 - What Are Data Types?
07:14:45 - Data Manipulation Language (DML)
07:46:16 - Power BI
08:26:30 - Primary Key and Foreign Key Relationship
09:25:35 - Direct Query Mode
10:06:32 - Data Transformation and Modeling Power BI
10:21:01 - Data Visualization with Power BI Service
11:15:43 - Data Analytics Interview Questions

✅What is a data analytics course?
Data analytics is the process of analyzing raw data to draw out meaningful, actionable insights, which are then used to inform and drive smart business decisions.

✅What is the basic qualification for data analytics?
Aspiring students must earn a bachelor's degree, ideally in statistics or information technology, with at least 60% overall or an equivalent grade point average (CGPA). To become a Data Analyst, students must hold a degree in Economics, Statistics, Computer Science, or Mathematics.

➡ About the Course
Enroll in this advanced certification by IITM Pravartak (The Technology Innovation Hub of IIT Madras) and Intellipaat and learn under the expert guidance of the IIT Madras faculty. The program is designed by industry experts to help you master AWS, cloud computing, VPC, etc., through real-time hands-on projects.

➡Who should take this course?
☑Non-IT Professionals in HR, banking, marketing, sales, etc.
☑BI Professionals
☑Data Analytics Professionals
☑Project Managers
☑Software Developers
☑Information Architects
☑Freshers and Undergraduates can apply for the course

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

What’s Covered in This Program?
✅Data wrangling with SQL
✅Presto
✅Introduction to Data Science and Statistics
✅Business Problem Solving, Insights and Storytelling
✅Optimization Techniques
✅KNIME
✅Statistics and Machine Learning using R Programming
✅Predictive Modeling
✅Time-Series Forecasting
✅Feature Engineering
✅Advance Machine Learning Techniques
✅Data Science Execution Strategy
✅Business Case Studies
✅Visualization using Power BI
✅Data Science Capstone Project

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

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

🚀 Intellipaat Advanced Certifications
🌕 Advanced Certification in Cloud Computing: https://intellipaat.com/advanc....ed-certification-clo
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📌Twitter: https://twitter.com/Intellipaat

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

Generative AI
26 Views · 1 year ago

Basically a full day AI course crammed into 18 mins of drawing & talking. Target audience: Everyone.
NEWS: Book is now available: https://leanpub.com/ainutshell
NEWS: Course is now available: https://www.ymnig.ai/courses/p....rompt-engineering-in

Covers questions like What is generative AI, how does it work, how do I use it, what are some of the risks & limitations. Also covers things like autonomous agents, the role of us humans, prompt engineering tips, AI-powered product development, origin of ChatGPT, different types of models, and some tips about mindset around this whole thing.

Here is the full drawing:
https://blog.crisp.se/wp-conte....nt/uploads/2024/01/g

Voice translations:
- Playlist with a bunch of AI voice translations: https://www.youtube.com/watch?v=ojLUcaqbLBM&list=PL-u8jDo3b1vnzUtiOfLliB2tbDLwVXiqb
- French: https://www.youtube.com/watch?v=AkPW3zWHA7w
- French: https://www.youtube.com/watch?v=nTFL-GzSrWo
- German: https://www.youtube.com/watch?v=Dgu5utapmk0
- Hindi: https://www.youtube.com/watch?v=gZdUcxqKCe4
- Kurdish (Sorani): https://www.youtube.com/watch?v=bvscuBrd3b0
- Ukrainian: https://www.youtube.com/watch?v=rUqIzty9hkM
- Urdu: https://www.youtube.com/watch?v=VFy6mvcOXoc

Would you like to make a voice translation? ElevenLabs can do really voice translation which even sounds like me :)
You can also do a manual dub with your own voice if you prefer. Whatever works best.
1. Check out https://elevenlabs.io/docs/dubbing/studio
2. Make the video & upload it to youtube or somewhere.
3. Make sure the description shows that this is an AI translation, and include a link to the original video.
4. Send a link to me (for example via a comment) and I'll add it above.

You can decide if you want to host it on your youtube channel or if I should host it.

If you have practical questions you can ask Stefan Kirschnick, he made the German dub and is happy to provide support. https://www.linkedin.com/in/stefankirschnick/

Data Analytics
26 Views · 3 years ago

🔥 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 - Edureka Training and Certification (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://bit.ly/3QH0NFs
This Edureka video on "𝐓𝐨𝐩 𝟏𝟎 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒" video will introduce you to all the popular and trending technologies in the market which you should focus on in 2024. These are the best trending technologies that you need to learn in order to have a successful career in the year 2024.

📝Let us know your list of top 10 trending technologies to learn in 2024 in the comment section.📝

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

#edureka #Top10Technologies #top10TechnologiesFor2024 #trendingtechnologies #besttechnology #futuretechnolgies #futuretechnology #technology #top10 #trending #upskill #training #certification #career #job

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: https://edrk.in/g4QblcS
🌕 AWS Online Training: https://edrk.in/0U6VnHN
🔵 Power BI Online Training: https://edrk.in/Yn5iPvk
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🔵 Python Online Training: https://edrk.in/PwtGUa_
🌕 Azure Online Training: https://edrk.in/eytZsGy
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🌕 Angular Online Training: https://edrk.in/PscxBon
🔵 Data Science Online Training: https://edrk.in/0ghWkP-

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: https://edrk.in/Bzch7fj
🌕 Cloud Architect Masters Program: https://edrk.in/f1LDG1p
🔵 Data Scientist Masters Program: https://edrk.in/XHZs55E
🌕 Full Stack Developer Masters Program: https://edrk.in/U5U8EnM
🔵 Machine Learning Engineer Masters Program: https://edrk.in/AKxU5jU
🌕 Business Intelligence Masters Program: https://edrk.in/CrIfrAX
🔵 Python Developer Masters Program: https://edrk.in/evj6Jlh
🌕 RPA Developer Masters Program: https://edrk.in/tppjtMK
🔵 Cyber Security Masters Program: https://edrk.in/9HU8Udw
🌕 Computer Science Bootcamp Program: https://edrk.in/eKxZGZ6
🔵 Automation Testing Engineer Masters Program: https://edrk.in/p9ue76O
🌕 Azure Cloud Engineer Masters Program: https://edrk.in/0t-uD8y
🔵 Web Development Masters Program: https://edrk.in/p_3JFjZ

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦

🔵 Post Graduate Program in DevOps with Purdue University: https://edrk.in/NTeuQTN

🌕 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: https://edrk.in/8lf8eI0

🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://edrk.in/i4X5Ons

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

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

Data Analytics
26 Views · 3 years ago

The world is entering a new era of warfare, with cyber and autonomous weapons taking center stage. These technologies are making militaries faster, smarter, more efficient. But if unchecked, they threaten to destabilize the world.
DW takes a deep dive into the future of conflict, uncovering an even more volatile world. Where a cyber intrusion against a nuclear early warning system can unleash a terrifying spiral of escalation; where “flash wars” can erupt from autonomous weapons interacting so fast that no human could keep up.
Germany’s Foreign Minister Heiko Maas tells DW that we have already entered the technological arms race that is propelling us towards this future. “We’re right in the middle of it. That’s the reality we have to deal with.”
And yet the world is failing to meet the challenge. Talks on controlling autonomous weapons have repeatedly been stalled by major powers seeking to carve out their own advantage. And cyber conflict has become not just a fear of the future but a permanent state of affairs.
DW finds out what must happen to steer the world in a safer direction, with leading voices from the fields of politics, diplomacy, intelligence, academia, and activism speaking out.

Chapters
00:00 - Introduction
02:37 - The Cyber Nuclear Nightmare
17:05 - Flash Wars And Autonomous Weapons
30:12 - Trading Markets And Flash Crashes
31:45 - Time To Act

Subscribe: https://www.youtube.com/user/d....eutschewelleenglish?

For more news go to: http://www.dw.com/en/
Follow DW on social media:
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Für Videos in deutscher Sprache besuchen Sie: https://www.youtube.com/dwdeutsch
#FurureWars #AutonomousWeapons #CyberAttacks

Data Analytics
26 Views · 3 years ago

🔥 𝐓𝐨𝐩 𝟏𝟎 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐅𝐨𝐫 𝟐𝟎𝟐𝟒 (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://edrk.in/xK6MeNj
This Edureka video on "𝐓𝐨𝐩 𝟏𝟎 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐅𝐨𝐫 𝟐𝟎𝟐𝟒" video will introduce you to all the popular and trending IT certifications in the market which you should focus on in 2024 to get high paying job. These are the highest-paying certifications that you must bag in order to have a successful career in the year 2024. Let us know your list of Best IT Certifications For 2024 in the comment section below.

Below is the list of 𝐓𝐨𝐩 𝟏𝟎 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐅𝐨𝐫 𝟐𝟎𝟐𝟒 that you must get certified in to boost your career and paycheque:

00:00 Introduction to Top 10 Certifications For 2024
00:49 Cybersecurity Certifications
01:55 Cloud & DevOps Certifications
03:27 Project Management Certifications
04:21 Data Science Certifications
05:38 Scrum and Agile Certifications
06:28 Data Engineer Certifications
07:21 Business Intelligence Certifications
08:26 Automation and Testing Certifications
09:24 Full Stack Web Development Certifications
10:22 Digital Marketing Certifications

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

📝Let us know your list of Top 10 Certifications For 2024 in the comment section.📝

#edureka #Top10Certifications #top10CertificationsFor2024 #Top10Certifications2024 #trendingCertifications2024 #trendingCertifications #bestCertifications #popularCertifications

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Certification: https://edrk.in/C8jql2W
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🔵 React Online Certification: https://edrk.in/SFVA3Pg
🌕 Tableau Online Certification: https://edrk.in/kTgCxOZ
🔵 Power BI Online Certification: https://edrk.in/mNAyw6S
🌕 Selenium Online Certification: https://edrk.in/Lt7ELSY
🔵 PMP Online Certification: https://edrk.in/baWg6pe
🌕 Salesforce Online Certification: https://edrk.in/EqlnJYd
🔵 Cybersecurity Online Certification: https://edrk.in/QrW0Ec8
🌕 Java Online Certification: https://edrk.in/O6P3V2g
🔵 Python Online Certification: https://edrk.in/tAr97T9
🌕 Azure Online Certification: https://edrk.in/tUubG-i
🔵 GCP Online Certification: https://edrk.in/QijOq0q
🌕 Microservices Online Certification: https://edrk.in/JNoMEo8
🔵 Data Science Online Certification: https://edrk.in/OdW3B2v
🌕 CEHv12 Online Certification: https://edrk.in/p3ngxuB
🔵 Angular Online Certification: https://edrk.in/jcORlgU

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: https://edrk.in/Bzch7fj
🌕 Cloud Architect Masters Program: https://edrk.in/f1LDG1p
🔵 Data Scientist Masters Program: https://edrk.in/XHZs55E
🌕 Full Stack Developer Masters Program: https://edrk.in/U5U8EnM
🔵 Machine Learning Engineer Masters Program: https://edrk.in/AKxU5jU
🌕 Business Intelligence Masters Program: https://edrk.in/CrIfrAX
🔵 Python Developer Masters Program: https://edrk.in/evj6Jlh
🌕 RPA Developer Masters Program: https://edrk.in/tppjtMK
🔵 Cyber Security Masters Program: https://edrk.in/9HU8Udw
🌕 Computer Science Bootcamp Program: https://edrk.in/eKxZGZ6
🔵 Automation Testing Engineer Masters Program: https://edrk.in/p9ue76O
🌕 Azure Cloud Engineer Masters Program: https://edrk.in/0t-uD8y
🔵 Web Development Masters Program: https://edrk.in/p_3JFjZ

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦

🔵 Post Graduate Program in DevOps with Purdue University: https://edrk.in/NTeuQTN

🌕 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: https://edrk.in/8lf8eI0

🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://edrk.in/i4X5Ons

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2024 - https://www.youtube.com/watch?v=vaLXPv0ewHU

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

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

Data Analytics
26 Views · 3 years ago

🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=4Jan2024Top10FutureTechnologies2024&utm_medium=DescriptionFF&utm_source=youtube
🔥Post Graduate Program In Cyber Security: https://www.simplilearn.com/pgp-cyber-security-certification-training-course?utm_campaign=4Jan2024Top10FutureTechnologies2024&utm_medium=DescriptionFF&utm_source=youtube

Welcome to a captivating journey into the future! In this video, we'll explore the Top 10 Future Technologies that are poised to revolutionize the way we live, work, and interact with the world. From groundbreaking advancements in artificial intelligence to mind-boggling innovations in biotechnology, join us as we unveil the cutting-edge technologies that will shape the next era of human progress. Fasten your seatbelts as we embark on a thrilling exploration of the tech wonders that await us in the not-so-distant future.

00:00 Top 10 Future Technologies For 2024
Edge Computing
Quantum Computing
Artificial Intelligence in Cybersecurity
Blockchain Beyond Cryptocurrency
5G Networks and IoT
Augmented Reality (AR) for Business
Cybersecurity for AI and IoT
Robotic Process Automation (RPA)
Cybersecurity for Quantum Computing
Artificial General Intelligence (AGI)

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

#Top10FutureTechnologies2024 #FutureTechnology #TopFutureTechnologies #Simplilearn #TrendingTechnology2022 #EdgeComputing #QuantumComputing
#ArtificialIntelligenceinCybersecurity #Blockchain #Cryptocurrency #5G #IoT #AugmentedReality #AR #Cybersecurity #RoboticProcessAutomation #RPA #CybersecurityforQuantumComputing #ArtificialGeneralIntelligence #AGI #2024 #Simplilearn

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- Artificial Intelligence in Cybersecurity
In 2024, AI defenses will combat sophisticated cyber threats in real time, safeguarding data and privacy. Beyond detecting known threats, machine learning adapts to new dangers, analyzing vast datasets for patterns and anomalies.

- Blockchain Beyond Cryptocurrency
Blockchain evolves beyond cryptocurrencies in 2024. It secures supply chains, authenticates digital identities, and transforms transactions. Its transparency disrupts industries, ensuring traceable supply chains and secure service access.
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- Augmented Reality (AR) for Business
AR transforms industries in 2024. Picture engineers visualizing machinery and surgeons enhancing precision with AR. It blurs physical-digital lines, offering step-by-step instructions in manufacturing and 3D anatomy models for precise surgeries in healthcare.

- Cybersecurity for AI and IoT
2024 brings focused cybersecurity for AI and IoT integration. Solutions will safeguard against AI algorithm vulnerabilities and protect IoT ecosystems from potential cyber threats.
🔥 Become Cyber Security Expert Today: https://www.simplilearn.com/pgp-cyber-security-certification-training-course?utm_campaign=4Jan2024Top10FutureTechnologies2024&utm_medium=Descriptions&utm_source=youtube

- Robotic Process Automation (RPA)
Bronze to Robotic Process Automation (RPA), the 2024 IT game-changer. It automates tasks, letting employees focus on creative work. RPA bots handle data entry to customer service, boosting efficiency across industries.

- Cybersecurity for Quantum Computing
At 2, cybersecurity adapts to quantum threats in 2024. Quantum-safe encryption and protocols emerge to safeguard data in the quantum computing era, countering the risk posed by traditional encryption vulnerabilities.

- Artificial General Intelligence (AGI)
2024's game-changer is Artificial General Intelligence (AGI). Revolutionizing industries from healthcare to finance, AGI automates complex decision-making, representing a monumental leap beyond specialized AI. Integration into various sectors, from healthcare diagnostics to financial analysis, is on the horizon.
🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=4Jan2024Top10FutureTechnologies2024&utm_medium=Descriptions&utm_source=youtube
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Data Analytics
26 Views · 2 years ago

People claim that 70-80% of household dust is dead skin, but is it true?
Thanks to Google for sponsoring this video! Learn more about Search here: https://www.google.com/search/howsearchworks/

Special thanks to J.M.E.H van Bronswijk, author of 'House Dust Biology'. We exchanged emails to make sure I got my facts straight for this video. Below is an excerpt from her email to me, responding to my claims that start with a dash:

- Around half of airborne dust particles under 100um are skin scales
This is true for climates, regions and seasons where people live mostly indoors.
The 1 to 2 g of skin scales shed each 24 hours will end up in places where people are present (and rub their skin or have textile moving over the skin).
You can also look at it from a different angle: What else has the same size and could contribute? That will usually be pollen from outdoor sources, also depending on season, region and climate, as well as the ventilation regime of the building.
However, taken as the median value over a whole year, I consider your statement correct for regions with a temperate climate.

- 53% of dust particles vacuumed from a mattress were found to be skin scales
It depends a little on the type of mattress. For polyether mattresses the amount may even be larger.
For mattresses made of natural material it could be less since the mattress-material will also give off small particles.

- larger particles consist mostly of fibers, eg. cotton, paper, wool, synthetics
That's true .. including bread crumbs ..... 🙂

- skin scales seem to form a larger fraction of dust where we spend more time, e.g. in or near bed.
..... and on the couch used to view television or be active in gaming.
It has to do with the constant production of skin scales over the 24 hours.

- skin scales form a smaller fraction of dust if there are significant other sources, e.g. carpeting, dirt from outside etc.
Yes, everyting you walk on with your shoes or that recieves dirt from the outside with other means, will have a lessr percentage of human skin scales.
However, do not forget the skin scales of pets that will also be an active allergen for many people, and a food source for house dust mites.

Information on dust particle size ©ISO. This material is adapted from ISO 7708:1995, with permission of the American National Standards Institute (ANSI) on behalf of the International Organization for Standardization. All rights reserved.

Research and Writing by AJ Fillo and Derek Muller
Editing, Audio Mix & Master, and Computer animations by Jonny Hyman
Dust and character animation by Ivy Tello
Filming by Raquel Nuno
Thumbnail by Fictionalhead https://www.youtube.com/fictionalhead

Intro Music composed by Jonny Hyman
Additional Music from Epidemic Sound: Colored Spirals, Observations

Data Analytics
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Generative AI
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Generative AI
26 Views · 2 years ago

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This KNN Algorithm in Machine Learningtutorial will help you understand what is KNN, why do we need KNN, and how KNN algorithm works using Python. You will learn how do we choose the factor 'K', when do we use KNN, with proper hands on demonstration to predict whether a person will have diabetes or not, using the KNN algorithm.

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KNN is very easy to implement. There are only two parameters required to implement KNN—the value of K and the distance function (e.g. Euclidean, Manhattan, etc.)
✅Cons: The KNN algorithm does not work well with large datasets. The cost of calculating the distance between the new point and each existing point is huge, which degrades performance.
Feature scaling (standardization and normalization) is required before applying the KNN algorithm to any dataset. Otherwise, KNN may generate wrong predictions.

➡️ About Post Graduate Program In AI And Machine Learning

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