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basic java script please like my video
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freecodecamp.org
Broadcasted live on Twitch -- Watch live at https://www.twitch.tv/willshattuck
🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐆𝐨𝐨𝐠𝐥𝐞 𝐂𝐥𝐨𝐮𝐝 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠: https://www.edureka.co/google-....cloud-architect-cert (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This "𝐆𝐨𝐨𝐠𝐥𝐞 𝐂𝐥𝐨𝐮𝐝 𝐀𝐧𝐭𝐡𝐨𝐬" video by Edureka will first explain what exactly is google cloud anthos, then talk about its components, features and benefits. Below are the topics covered in this Google Cloud Anthos Tutorial:
00:00:44 What is Google Cloud Platform?
00:02:00 What is Google Cloud Anthos?
00:05:25 Features of Google Cloud Anthos
00:07:20 Benefits of Google Cloud Anthos
00:10:07 Case Study on Google Cloud Anthos
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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬
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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐎𝐩𝐬 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/devops-....certification-traini (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka live video on "how to become a DevOps Engineer" is a complete career guide for the aspiring DevOps Engineer.
Topics Covered:
00:00:00 Introduction
00:01:33 Why become a DevOps Engineer?
00:02:31 Why is there such a great demand for DevOps?
00:05:30 Traditional Development Models vs DevOps
00:08:02 What does a DevOps Engineer do?
00:08:28 Roles and Responsibilities of a DevOps Engineer
00:09:33 Skills required for a DevOps Engineer
00:11:57 How to become a DevOps Engineer?
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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬
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There have been 4 research papers and technological advancements over the last 4 weeks that in combination drastically changed my outlook on the AGI timeline.
GPT-4 can teach itself to become better through self reflection, learn tools with minimal demonstrations, it can act as a central brain and outsource tasks to other models (HuggingGPT) and it can behave as an autonomous agent that can pursue a multi-step goal without human intervention (Auto-GPT). It is not an overstatement that there are already Sparks of AGI.
Join my channel membership to support my work:
https://www.youtube.com/channe....l/UCycGV6fAhD_-7GPmC
Or send me a tip over lightning: ⚡️[email protected]
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Further sources:
Reflexion: an autonomous agent with dynamic memory and self-reflection: https://arxiv.org/abs/2303.11366
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace: https://arxiv.org/abs/2303.17580
Auto-GPT: An Autonomous GPT-4 Experiment: https://github.com/Torantulino/Auto-GPT
Sparks of Artificial General Intelligence: Early experiments with GPT-4: https://arxiv.org/abs/2303.12712
How a rainfall simulator saves millions of lives. Get exclusive NordVPN deal here ➵ https://NordVPN.com/veritasium. It’s risk free with Nord’s 30 day money-back guarantee!
Special thanks to our Patreon supporters! Join this list to help us keep our videos free, forever:
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If you’re looking for a molecular modeling kit, try Snatoms – a kit I invented where the atoms snap together magnetically – https://ve42.co/SnatomsV
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Huge thanks to Okouchi-San and Dr. Sakai and everyone at NIED and the Large Scale Rainfall Simulator for their time, expertise and access to this amazing facility.
A big thank you to Prof. Olga Mavrouli and Prof. Bill Schulz for their invaluable expertise on the mechanisms of landslides.
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References:
Ulbrich, C. W. (1983). Natural variations in the analytical form of the raindrop size distribution. Journal of climate and applied meteorology, 1764-1775. – https://ve42.co/Ulbrich83
Van Boxel, J. H. (1997, November). Numerical model for the fall speed of rain drops in a rain fall simulator. In Workshop on wind and water erosion (Vol. 5, pp. 77-85). – https://ve42.co/Boxel87
Canuti, P., Focardi, P., & Garzonio, C. (1985). Correlation between rainfall and landslides. Bulletin of Engineering Geology & the Environment, 32(1).
Tsaparas, I., Rahardjo, H., Toll, D. G., & Leong, E. C. (2002). Controlling parameters for rainfall-induced landslides. Computers and geotechnics, 29(1), 1-27. – https://ve42.co/Tsaparas2002
Nakamura, H., & Oosawa, M. (2021, March). Effects of the underground discharge channel/reservoir for small urban rivers in the Tokyo area. In IOP Conference Series: Earth and Environmental Science (Vol. 703, No. 1, p. 012029). IOP Publishing. – https://ve42.co/Nakamura21
Guthrie, R. H., & Evans, S. G. (2004). Magnitude and frequency of landslides triggered by a storm event, Loughborough Inlet, British Columbia. Natural Hazards and Earth System Sciences, 4(3), 475-483. – https://ve42.co/Guthrie2004
Images & Video:
Miyako, Iwate Tsunami via ANNnewsCH - https://ve42.co/Miyako2011
Mount Onake Volcano via BBC News - https://ve42.co/BBCOnake
Typhoon Jebi via Al Jazeera - https://ve42.co/TyphoonJebi
East Asia Typhoons via CBC News - https://ve42.co/TyphoonCBC
Atami Landslide via The Quint - https://ve42.co/Atami2021
Atami Landslide via news.com.au - https://ve42.co/2ndAtami2021
Sendai Earthquake via ANNnewsCH - https://ve42.co/SendaiQuake
Nagasaki Mudslide via The Telegrap - https://ve42.co/NagasakiMudslide
Wajima Landslide via Guardian News - https://ve42.co/WajimaLandslide
Drone Rainfall Test via AIZAWAchan - https://ve42.co/DroneRain
Car Rainfall Test via TIER IV - https://ve42.co/CarRainTest
Rainfall Simulator via NIED - https://ve42.co/RainfallSim1
External Footage of Simulator via NIED - https://ve42.co/RainfallSim2
Landslide Simulations via NIED - https://ve42.co/RainfallSim3
Typhoon Prapiroon via Force Thirteen - https://ve42.co/TyphoonPrapiroon
Yanohigashi Floods via CNA - https://ve42.co/YanohigashiFloods
Japan Floods via The Telegraph - https://ve42.co/TelegraphFlood
Japan Floods via euronew - https://ve42.co/EuroNewsFlood
Typhoon Hagibis via Guardian News - https://ve42.co/TyphoonHagibis
Typhoon Hagibis via SCMP - https://ve42.co/TyphoonHagibisSCMP
Satellite Imagery of Hagibis via Force Thirteen - https://ve42.co/HagibisSatellite
Tokyo Flood Control System via NikkeiAsia.com - https://ve42.co/FloodControl
Landslides Footage via Underworld - https://ve42.co/MonsterLandslides
Norway Landslide via ABC7 - https://ve42.co/NorwayLandslide
Planet Destruction via BBC - https://ve42.co/BBCDestruction
B.C. Climate Change Danger via CBC News - https://ve42.co/BCClimateChange
Canada’s Logging Roads via CBC News - https://ve42.co/CBCLogging
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Chris Harper, Max Paladino, Balkrishna Heroor, Adam Foreman, Orlando Bassotto, Tj Steyn, meg noah, KeyWestr, TTST, John H. Austin, Jr., john kiehl, Anton Ragin, Diffbot, Gnare, Dave Kircher, Burt Humburg, Blake Byers, Evgeny Skvortsov, Meekay, Bill Linder, Paul Peijzel, Josh Hibschman, Juan Benet, David Johnston, Ubiquity Ventures, Richard Sundvall, Lee Redden, Stephen Wilcox, Marinus Kuivenhoven, Michael Krugman, Sam Lutfi
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Directed by Petr Lebedev
Written by Petr Lebedev
Edited by Peter Nelson
Additional Research by Gregor Čavlović
Animated by Fabio Albertelli
Illustrations by Jakub Misiek
Filmed by Petr Lebedev, Emily Zhang, Derek Muller
Produced by Petr Lebedev, Han Evans and Gregor Čavlović
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Music from Epidemic Sound
Hasan reacts to a Veritasium video where he struggles to wrap his simple, math-hating brain around the physics behind how this wheel can never break because the atoms or something, idk, I didn't understand either...
Edited By: https://twitter.com/HasanReactions
Intro Animation By: https://twitter.com/HasanReactions
Outro Animation By: https://twitter.com/HasanReactions
Music Composition By: https://twitter.com/HasanReactions
(Yes, right now it's just me making everything)
Editor's Note: My edits were all made to keep the video on one, central topic by editing together relevant commentary from many parts of Hasan's streams to create a storyline that is still followable by the viewer. I also edited in commentary of my own in places, in addition to relevant external information that improves the viewing experience. A lot of edits were made for comedy purposes, or to enhance the comedic timing of certain beats, but never to misrepresent Hasan's point of view.
If you like my edits, leave a Comment, Like, and Subscribe. It helps a lot, thank you :)
Discussion Video: https://www.youtube.com/watch?v=vSNtifE0Z2Q
Unless otherwise stated, all visuals, audio, and commentary added during the editing process is created and owned by Hasan Reactions.
Find Hasan Live at: https://www.twitch.tv/hasanabi
#hasanabi #Veritasium #Science #HasanReactions #reacts
About Hasan:
Hasan Piker is Political Commentator turned Twitch Streamer (#13) known for his Turkish heritage and leftist takes, often speaking on topics like Socialism, Communism, Capitalism, and Marxism (and occasionally 9/11). He loves reacting to political news, and occasionally goes on IRL adventures with his friends. He likes to react to popular media content with his audience as well, such as Jubilee, JCS (Jim Can't Swim), Joe Rogan, Andrew Tate, Ben Shapiro, Steven Crowder, Channel 5, trending Twitter posts or TikToks, and other creative videos.
🔥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.
0:00 Introduction
2:42 Why Mathematics in Machine Learning?
5:03 Linear Algebra - Scalars
6:20 Linear Algebra - Vectors
7:14 Linear Algebra - Vector Operations
11:22 Linear Algebra - Matrices
13:48 Linear Algebra - Matrix Operations
20:25 Linear Algebra - Vector as Matrix
22:35 Linear Algebra – Vector as Matrix
26:10 Linear Algebra - Eigen Vectors
27:42 Linear Algebra - Applications
30:18 Multivariate Calculus
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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.
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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.
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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
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Machine Learning Tutorial | Machine Learning Algorithm | Machine Learning Engineer Program | Edureka
Python Tutorial For Beginners | Edureka
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This Edureka video on "Machine Learning Tutorial" will help you get started with all the Machine Learning concepts.
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This Video on Cloud Computing Full course by simplilearn will help you learn the basics of cloud computing. this Simplilearn video is a complete tutorial for cloud computing engineers. It begins with an introduction to cloud computing, followed by a detailed explanation of AWS and its features. Next, you'll explore a roadmap to becoming a cloud engineer, along with insights into cloud security. The video also covers cloud service models and a comparison of AWS vs. Azure. Moving ahead, you'll find exciting cloud computing project ideas to enhance your portfolio. Lastly, the video discusses essential cloud computing certifications to help you advance your career. This comprehensive tutorial is designed to equip you with the skills and knowledge needed to excel in the field of cloud computing.
00:00:00 Introduction to Cloud Computing
00:05:23 What is Cloud Computing
00:10:15 What is AWS?
00:19:36 How to become Cloud Engineer
03:20:20 Cloud Computing Tutorial
03:26:51 What is Cloud Security
08:14:18 Cloud Computing Service Models
08:24:35 AWS Vs Azure
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08:40:13 Cloud Computing Certifications
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➡️ About AWS Cloud Practitioner Course
AWS Cloud Practitioner course is for individuals seeking an overall understanding of Amazon Web Services Cloud, independent of specific technical roles. To build AWS Cloud knowledge, you will learn about AWS Cloud concepts, services, security, architecture and support. This course also helps prepare for the AWS Certified Cloud Practitioner exam. Providers: Microsoft Azure, AWS, and GCP.
Key Features
✅ Official AWS live class training content
✅ Self-paced learning videos authored by AWS
✅ Live online training from AWS Authorized Instructors
✅ 1-day Instructor-Led Training Course for accelerated learning
Skills Covered
✅ AWS Cloud Adoption Framework
✅ AWS Global Infrastructure
✅ AWS data migration solutions
✅ Storage and databases
✅ AWS IAM security levels
✅ AWS Compute Services
✅ Amazon Cloud
✅ Front and Edge locations
✅ Networking concepts
✅ Pay_As_You_Go pricing model
✅ AWS pricing models and support
Learning Path
✅ Lesson 01: Introduction to Amazon Web Services
✅ Lesson 02: Compute in the Cloud
✅ Lesson 03: Global Infrastructure and Reliability
✅ Lesson 04: Networking
✅ Lesson 05: Storage and Databases
✅ Lesson 06: Security
✅ Lesson 07: Monitoring and Analytics
✅ Lesson 08: Pricing and Support
✅ Lesson 09: Migration and Innovation
✅ Lesson 10: AWS Certified Cloud Practitioner Basics
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How it Works?
1. This is a 5 Week Instructor led Online Course.
2. Course consists of 30 hours of online classes, 30 hours of assignment, 20 hours of project
3. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
4. You will get Lifetime Access to the recordings in the LMS.
5. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate!
- - - - - - - - - - - - - -
About the Course
AWS Architect Certification Training from Edureka is designed to provide in depth knowledge about Amazon AWS architectural principles and its components. The sessions will be conducted by Industry practitioners who will train you to leverage AWS services to make the AWS cloud infrastructure scalable, reliable, and highly available. This course is completely aligned to AWS Architect Certification - Associate Level exam conducted by Amazon Web Services.
During this AWS Architect Online training, you'll learn:
1. AWS Architecture and different models of Cloud Computing
2. Compute Services: Amazon EC2, Auto Scaling and Load Balancing, AWS Lambda, Elastic Beanstalk
3. Amazon Storage Services : EBS, S3 AWS, Glacier, CloudFront, Snowball, Storage Gateway
4. Database Services: RDS, DynamoDB, ElastiCache, RedShift
5. Security and Identity Services: IAM, KMS
6. Networking Services: Amazon VPC, Route 53, Direct Connect
7. Management Tools: CloudTrail, CloudWatch, CloudFormation, OpsWorks, Trusty Advisor
8. Application Services: SES, SNS, SQS
Course Objectives
On completion of the AWS Architect Certification training, learner will be able to:
1. Design and deploy scalable, highly available, and fault tolerant systems on AWS
2. Understand lift and shift of an existing on-premises application to AWS
3. Ingress and egress of data to and from AWS
4. Identifying appropriate use of AWS architectural best practices
5. Estimating AWS costs and identifying cost control mechanisms
Who should go for this course?
This course is designed for students and IT professionals who want to pursue a career in Cloud Computing. The course is a best fit for:
1. Professionals interested in managing highly-available and fault-tolerant enterprise and web-scale software deployments.
2. Professionals who want Project Experience in migrating and deploying cloud based solutions.
3. DevOps professionals.
Pre-requisites
There are no specific prerequisites for this course. Any professional who has an understanding of IT Service Management can join this training. There is no programming knowledge needed and no prior AWS experience required.
For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free).
Customer Reviews:
Joga Rao, Principal Data Architect at AEMO says: “I am a Customer at Edureka. I attended the AWS Architect Certification Training, I found the training to be very informative. The course content was excellent, just what I was after. The trainer was very knowledgeable. I found him to be very patient, he listened and answered everyone's questions. I especially liked the way he repeated and summarized the previous day's leanings at the start of each new day. I also liked his interactive style of training. Edureka demonstrated the highest standard of professionalism in delivering the course content and their support to me in helping complete the project has been exceptional. Thanks Edureka!