Lex Fridman Podcast full episode: https://www.youtube.com/watch?v=L_Guz73e6fw
Please support this podcast by checking out our sponsors:
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GUEST BIO:
Sam Altman is the CEO of OpenAI, the company behind GPT-4, ChatGPT, DALL-E, Codex, and many other state-of-the-art AI technologies.

PODCAST INFO:
Podcast website: https://lexfridman.com/podcast
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SOCIAL:
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⭐️ Watch the updated version of this course: https://youtu.be/2LhoCfjm8R4

In this data visualization course, you’ll learn how to transform data into meaningful graphical forms using D3.js and web technologies. D3 is a JavaScript library for visualizing data with HTML, SVG, and CSS. Besides teaching all about D3, this beginner's course also covers the basics of JavaScript, HTML, CSS, and SVG so you will have all the prerequisite knowledge to create stunning data visualizations.

🎥 Course created by Curran Kelleher. Check out his YouTube channel: https://www.youtube.com/channe....l/UCSwd_9jyX4YtDYm9p
🔗 You can create data visualization projects on VizHub: https://vizhub.com

⭐️ Course Contents & Code ⭐️
⌨️ (0:00:00) Data Visualization Course Overview
⌨️ (0:02:50) Why Visualize Data?
⌨️ (0:14:28) Inputs for Data Visualization: Data & Tasks
⌨️ (0:29:31) Intro to Javascript
💻 Code: https://vizhub.com/curran/1e6587bb27c54c368deae8b79a7ca59a
⌨️ (1:57:35) Intro to HTML, CSS & SVG
💻 Code: https://vizhub.com/curran/366c38ba5ebc4631b4bd936f3b709744
⌨️ (2:31:56) Intro to D3.js - Let's Make a Face!
💻 Code: https://vizhub.com/68416/be771477cb974c938cd8603dd8b59d32
⌨️ (3:15:06) Making a Bar Chart with D3.js and SVG
💻 Code: https://vizhub.com/curran/dd44f8fcdc8346ff90bddd63572bf638
⌨️ (3:44:02) Customizing Axes of a Bar Chart with D3.js
💻 Code: https://vizhub.com/curran/a44b38541b6e47a4afdd2dfe67a302c5
⌨️ (4:10:03) Making a Scatter Plot with D3.js
💻 Code: https://vizhub.com/curran/9247d4d42df74185980f7b1f7504dcc5
⌨️ (4:34:22) Making Line and Area Charts with D3.js
💻 Code: https://vizhub.com/curran/012b5b20ce894b0fa7dc98ef3a0b43a5
⌨️ (5:04:36) The General Update Pattern of D3.js
💻 Code: https://vizhub.com/curran/7f4137a77b564607ae2791ab1e49cf7e
⌨️ (6:04:30) Marks & Channels in Data Visualization
⌨️ (6:28:43) Interaction with Unidirectional Data Flow using D3.js
💻 Code: https://vizhub.com/curran/c2274b1dfe914115bac48f437b3c104e
⌨️ (6:45:13) Making a World Map with D3
💻 Code: https://vizhub.com/curran/c5475d7c95d348d5b8268012fbccb728
⌨️ (7:02:43) Cheap Tricks for Interaction on a D3.js World Map
💻 Code: https://vizhub.com/curran/4fb5e4e665474a169325bd18cdc3d0c0
⌨️ (7:25:37) Blank Canvas
💻 Code: https://vizhub.com/curran/0c35fdf97a6042188b5550e6712de315
⌨️ (7:30:43) Building a Tree Visualization of World Countries with D3.js
💻 Code: https://vizhub.com/curran/4f92c793909f48d28012e43ddab716df
⌨️ (8:04:48) Color and Size Legends with D3.js
💻 Code: https://vizhub.com/curran/92c34f62c0f948e89e87d28907c08715
⌨️ (8:33:27) Choropleth Map with D3.js
💻 Code: https://vizhub.com/curran/d5ad96d1fe8148bd827a25230cc0f083
⌨️ (9:05:16) Interactive Filtering on a Choropleth Map
💻 Code: https://vizhub.com/curran/5c907e49d0294538aad03ad1f41e1e28
⌨️ (9:51:00) Using Color in Visualization
⌨️ (10:07:54) Scatter Plot with Menus
💻 Code: https://vizhub.com/curran/98ba4daacc92442f8d9fd7d91bfd712a
⌨️ (10:54:03) Circles on a Map
💻 Code: https://vizhub.com/curran/8704c9b7c6df43cabf839aa3f1cb7b70
⌨️ (11:35:51) Line Chart with Multiple Lines
💻 Code: https://vizhub.com/curran/2546209d161e4294802c4ac0098bebc2
⌨️ (11:59:34) Melting and Munging Data with JavaScript
💻 Code: https://vizhub.com/curran/ecb0793c7d674100b3e3133d92cb6957
⌨️ (12:28:29) Selecting a Year on a Line Chart
💻 Code: https://vizhub.com/curran/501f3fe24cfb4e6785ac75008b530a83

--

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https://www.youtube.com/watch?v=coQ5dg8wM2o

Learn Elixir and functional programming in this coruse for beginners. By the end of this course, you'll be able to build your own Elixir applications and confidently apply functional programming concepts in your projects.

✏️ Course created by @octallium

💻 Github Repo: https://github.com/octallium/f....unctional-programmin

⭐️ Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:01:45) What is Elixir?
⌨️ (0:04:07) What is functional programming?
⌨️ (0:06:57) What is Recursion?
⌨️ (0:13:04) Installing Elixir & Setting Up VS Code
⌨️ (0:15:03) Learning & Unlearning
⌨️ (0:18:29) Pattern Matching
⌨️ (0:22:35) Introduction to LiveBook
⌨️ (0:26:04) Understanding Immutability
⌨️ (0:30:22) Actor Model
⌨️ (0:34:48) Hello World in Elixir
⌨️ (0:43:25) Data Types - Atom
⌨️ (0:50:25) Data Types - String
⌨️ (1:45:29) Data Types - Charlist, Process & List
⌨️ (1:14:54) Data Types - Tuples & Keyword List
⌨️ (1:19:27) Data Types - Maps
⌨️ (1:25:38) Data Types - Struct
⌨️ (1:30:09) Flow Control
⌨️ (1:39:54) Mix Project
⌨️ (1:41:19) Head & Tail Recursion
⌨️ (2:00:17) Recursion - Sum Digits
⌨️ (2:15:31) Recursion - Factorial
⌨️ (2:24:57) Recursion - Reverse Number
⌨️ (2:32:45) Lists Are LinkedList!!!
⌨️ (2:35:53) List Sum
⌨️ (2:47:04) Reverse List
⌨️ (2:52:58) List Map
⌨️ (3:04:34) Concat
⌨️ (3:09:23) FlatMap
⌨️ (3:14:07) Mid Review
⌨️ (3:15:00) Seven Wonders
⌨️ (3:40:27) For Comprehension
⌨️ (3:42:00) Expense Manager
⌨️ (4:04:17) Project Stats
⌨️ (5:16:30) Final Words

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
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🔥 Edureka Big Data Hadoop Certification Training: https://www.edureka.co/big-dat....a-hadoop-training-ce
This Edureka video on "Hadoop components" will provide you with detailed knowledge about the top Hadoop Components and it will help you understand the different categories of Hadoop Components. This video covers the following topics:
0:48 What is Hadoop?
1:04 Core Components of Hadoop
2:00 Hadoop Architecture
4:10 Hadoop EcoSystem
4:15 Hadoop Components in Data Storage
5:35 Genral Purpose Execution Engines
6:26 Hadoop Components in Database Management
7:50 Hadoop Components in Data Abstraction
8:25 Hadoop Components in Real-time Data Streaming
9:04 Hadoop Components in Graph Processing
9:52 Hadoop Components in Machine Learning
11:20 Hadoop Cluster Management tools

--------------------Edureka Big Data Training and Certifications------------------------

🔵 Edureka Hadoop Training: http://bit.ly/2YBlw29
🔵 Edureka Spark Training: http://bit.ly/2PeHvc9
🔵 Edureka Kafka Training: http://bit.ly/34e7Riy
🔵 Edureka Cassandra Training: http://bit.ly/2E9AK54
🔵 Edureka Talend Training: http://bit.ly/2YzYIjg
🔵 Edureka Hadoop Administration Training: http://bit.ly/2YE8Nf9

Complete Hadoop Playlist: https://goo.gl/ExJdZs
Complete Blog Series: http://bit.ly/2wO8l0y
Big Data Podcast - https://castbox.fm/channel/id1814029

Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV

Instagram: https://www.instagram.com/edureka_learning
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Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka

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

About the Course:

Edureka's Big Data Hadoop Training Course is curated by Hadoop industry experts, and it covers in-depth knowledge on Big Data and Hadoop Ecosystem tools. Throughout this online instructor-led Hadoop Training, you will be working on real-life industry use cases.

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

What are the objectives of our Big Data Hadoop Online Course?

The Big Data Hadoop course offers:
In-depth knowledge of Big Data and Hadoop including HDFS , YARN (Yet Another Resource Negotiator) & MapReduce
Comprehensive knowledge of various tools that fall in Hadoop Ecosystem like Pig, Hive, Sqoop, Flume, Oozie, and HBase
The capability to ingest data in HDFS using Sqoop & Flume, and analyze those large datasets stored in the HDFS
The exposure to many real world industry-based projects which will be executed in Edureka’s CloudLab


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


Why should you go for Big Data Hadoop Online Training?

Big Data is one of the accelerating and most promising fields, in the IT market today. In order to take benefit of these opportunities, you need structured training with the latest curriculum as per current industry requirements and best practices.

Besides strong theoretical understanding, you need to work on various real-world big data projects using different Big Data and Hadoop tools as a part of the solution strategy.

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

Who should go for this Big Data Hadoop Training Course?

Our Big Data Hadoop Course can be pursued by professional as well as freshers. It is best suited for:
Software Developers, Project Managers
Software Architects
ETL and Data Warehousing Professionals
Data Engineers
Data Analysts & Business Intelligence Professionals
DBAs and DB professionals
Senior IT Professionals
Testing professionals
Mainframe professionals
Graduates looking to build a career in Big Data Field

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

What are the pre-requisites for Edureka's Hadoop Training Course?

There are no such prerequisites for Big Data & Hadoop Course. However, prior knowledge of Core Java and SQL will be helpful but is not mandatory. Further, to brush up your skills, Edureka offers a complimentary self-paced course on "Java essentials for Hadoop" when you enrol for the Big Data and Hadoop Course.

----------------------------------------------------------------------------------------------------------
For more information, Please write back to us at sales@edureka.in or call us at: IND: 9606058406 / US: 18338555775 (toll-free)

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐎𝐩𝐬 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐔𝐒𝐄 𝐂𝐎𝐃𝐄 ('𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎'):
https://www.edureka.co/masters....-program/devops-engi
Are you ready to supercharge your DevOps career this year? In this video, we've got the ultimate guide to the "Top 5 DevOps Certifications" that are not only in high demand but also offer some of the highest-paying opportunities in the tech industry.🚀 Whether you're a seasoned DevOps pro or just starting your journey, these DevOps certifications can take your skills to the next level, making you an invaluable asset to any organization.

Top 5 DevOps Certifications are:

✅ 00:00 Top 5 DevOps Certifications
✅ 01:00 Introduction to DevOps
✅ 03:51 AWS Certified DevOps Engineer - Professional
✅ 05:14 Certified Kubernetes Administrator (CKA)
✅ 06:31 Microsoft Certified Azure DevOps Engineer Expert
✅ 07:45 Docker Certified Associate (DCA)
✅ 09:05 Certified Jenkins Engineer

Check our complete DevOps playlist here (includes all the videos mentioned in the video): http://goo.gl/O2vo13

For doubts & queries on DevOps, post the same on Edureka Community: https://www.edureka.co/community/devops

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐎𝐩𝐬 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🔵 AWS DevOps Online Training: https://bitly.ws/WyxA
🔵 Kubernetes Online Training: https://bitly.ws/WyxU
🔵 Microsoft Azure Online Training: https://bitly.ws/Wyya
🔵 Docker Online Training: https://bitly.ws/Wyyy
🔵 Jenkins Online Training: https://bitly.ws/WyyJ

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐨𝐩𝐬 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐏𝐫𝐨𝐠𝐫𝐚𝐦

🔵 DevOps Engineer Masters Program: https://bit.ly/3pXp1Ou

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦

🌕 Professional Certificate Program in DevOps with Purdue University: https://bit.ly/3yqRlMS

DevOps Podcast: https://castbox.fm/channel/id1684800
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
- - - - - - - - - - - - - -

About the Course
Edureka’s DevOps online training is designed to help you master key tools of Devops lifecycle like Docker, Puppet, Jenkins, Nagios, GIT, Ansible, SaltStack and Chef used by a DevOps Engineer for automating multiple steps in SDLC. During this course, our expert DevOps instructors will help you:

1. Understand the concepts and necessities of DevOps
2. Understand the need for DevOps and the day-to-day real-life problems it resolves
3. Learn installation and configuration of common infrastructure servers like Apache, and Nginx for the Enterprise
4. Learn popular DevOps tools like Jenkins, Puppet, Chef, Ansible, SaltStack, Nagios and GIT
5. Implement automated system update, installations and deployments
6. Learn Virtualization Concepts
7. Configuration deployment and packaging, continuous integration using GIT
8. Fine tune Performance and set-up basic Security for Infrastructure
9. Manage server operations using Code which is popularly known as Infrastructure as a Code
10. Understand the need for and concepts of Monitoring and Logging.

Along with the above mentioned topics, to help you master the most popular DevOps tools, you will also receive 3 additional self-paced courses including presentations, class recordings, assignments, solutions for the following tools:

1: Ansible - Covers Introduction, Setup & Configuration, Ansible Playbooks, 37 Ansible Modules, Different Roles and Command Line usage.
2: Chef - Covers Introduction, Building the Cook Book, Node Object & Search, Data-bags, Chef environment, Roles, Deploying Nodes in Production and using the Open Source Chef Server.
- - - - - - - - - - - - - -

Who should go for this course?
DevOps practitioners are among the highest paid IT professionals today, and the market demand for them is growing rapidly. With the emergence of new job roles around DevOps philosophy, anyone aspiring to get into these new roles, can take up this DevOps course. Some of these roles are:

DevOps Engineers
Site Reliability Engineers (SREs)
Automation Engineers
Cloud Engineers
Infrastructure as Code (IaC) Specialists

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

Project Work
1. Host a dummy webpage using Apache Web Server.
2. Write shell script which reports:
a) Various system configurations related to the user and the OS.
b) Data related to load on the server.
c) Top 5 processes with maximum number of threads.
d) Sort the services by memory
3. Install Nagios on a VM node for monitoring the various parameters of the VM.

For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll-free).
#Edureka #EdurekaDevOps #DevOpsTutorial #DevOpsTools #DevOpsTraining #Git #Jenkins #Docker #Puppet #Ansible #DevOps #Kubernetes #Ansible #Puppet #Chef #Terraform

🔥Become AWS Expert Today: https://taplink.cc/simplilearn_cc_aws
This video on "AWS in 5 minutes", will give you a quick insight into What is AWS. In this AWS Tutorial for Beginners video, we'll talk about its history, some of its most popular services, and what a career in the field looks like. All of this in 5 minutes! So without further ado, let's jump right into this AWS Training and start learning AWS(Amazon web services)!

Don't forget to take the quiz at 03:57!

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

⏩ Check out the AWS(Amazon web services) training videos: https://bit.ly/2LtnprE

🔥Enroll for FREE AWS Course & Get your Completion Certificate: https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=AWS-3XFODda6YXo&utm_medium=Description&utm_source=youtube

#WhatisAWS #AWS #AWSTutorialForBeginners #WhatIsAmazonWebServices #Simplilearn #AWSTraining #AWSTutorial #IntrotoAWS #AmazonWebServices #IntroductiontoAmazonWebServices #AWS

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

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

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

👉 Learn More At: https://www.simplilearn.com/pgp-cloud-computing-certification-training-course?utm_campaign=AWS-3XFODda6YXo&utm_medium=Description&utm_source=youtube

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

🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐥𝐨𝐮𝐝 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 𝐂𝐨𝐮𝐫𝐬𝐞 (𝐔𝐬𝐞 𝐂𝐨𝐮𝐩𝐨𝐧 : 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) : https://www.edureka.co/masters....-program/cloud-archi
Join our 'Cloud Architect Full Course in 10 Hours' to master cloud computing. Learn key concepts, tools, and practical applications in AWS, Azure, and Google Cloud. Tailored for learners at all levels, it's your pathway to mastering cloud architecture and becoming a successful Cloud Architect!

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

📝Feel free to share your comments below.📝

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 GCP Online Training: http://bit.ly/3VkCzS3
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Python Online Training: http://bit.ly/3Oubt8M
🌕 Azure Online Training: http://bit.ly/3i4P85F
🔵 Data Science Online Training: http://bit.ly/3V3nLrc
🌕 CEHv12 Online Training: http://bit.ly/3Vhq8Hj

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Full Stack Developer Masters Program : http://bit.ly/3tWCE2S
🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🌕 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8

🌕Advanced Certificate Program in Cybersecurity with E&ICT Academy, IIT Guwahati: https://bit.ly/3Pd2utG

📌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 sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

🔥Edureka CompTIA Security+ Certification Training: https://bit.ly/3nxeVRl
This Edureka video on "Cybersecurity Fundamentals" will introduce you to the world of cybersecurity and talks about its basic concepts. Below is the list of topics covered in this session:
0:59 - Need for cybersecurity
4:32 - What is cybersecurity
6:42 - Fundamentals of cybersecurity
11:35 - Cyberattack Incident

CyberSecurity Certification Training : https://www.edureka.co/cyberse....curity-certification

🔵 PGP in Cybersecurity with NIT Rourkela: http://bit.ly/2ShE6v7

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About Edureka Cyber Security Training

Cybersecurity is the combination of processes, practices, and technologies designed to protect networks, computers, programs, data and information from attack, damage or unauthorized access.

Edureka’s Cybersecurity Certification Course will help you in learning about the basic concepts of Cybersecurity along with the methodologies that must be practiced ensuring information security of an organization. Starting from the Ground level Security Essentials, this course will lead you through Cryptography, Computer Networks & Security, Application Security, Data & Endpoint Security, idAM (Identity & Access Management), Cloud Security, Cyber-Attacks and various security practices for businesses.

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

Why Learn Cyber Security?

Cybersecurity is the gathering of advances that procedures and practices expected to ensure systems, PCs, projects and information from assault, harm or unapproved get to. In a processing setting, security incorporates both cybersecurity and physical security, it is imperative since cyberattackers can without much of a stretch take and obliterate the profoundly grouped data of governments, defense offices and banks for which the results are huge so it is essential to have an appropriate innovation which an avoid digital wrongdoings.

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

Objectives of Edureka Cyber Security Course

• This course is designed to cover a holistic & a wide variety of foundational topics of the cybersecurity domain which will be helpful to lead freshers as well as IT professional having 1 to 2 years of experience, into the next level of choice such as ethical hacking/ audit & compliance / GRC/ Security Architecture and so on
• This course focuses mainly on the basics concepts of Cyber Security
• In this course, we are going to deal with Ground level security essentials cryptography, computer networks & security, application security, data & endpoint security, idAM (identity & access management), cloud security, cyber-attacks and various security practices for businesses
• This course will be your first step towards learning Cyber Security
--------------------------------------

Who Should go for this Training?

Anyone having the zeal to learn innovative technologies can take up this course. Especially, students and professionals aspiring to make a career in the Cybersecurity technology. However, Cybersecurity Certification Course is best suited for the below mentioned profiles:-
• Networking Professionals
• Linux Administrators
-----------------------------------------------

For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free).

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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: ⚡️till@getalby.com

My profile: https://bitcoiner.bio/tillmusshoff

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My Camera: https://amzn.to/3YMo5wx
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My Microphone: https://amzn.to/3SdHdkC
My Lighting: https://amzn.to/3ELnof5

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

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This Video on Data Structures and Algorithms by Simplilearn will help you learn the basics of programming, data structures, and the working of algorithms. This Data Structures Tutorial will help you learn everything about data structures and algorithms. We’ll start with an introduction to data structures, laying the foundation for understanding the core concepts. As we progress, we’ll explore the best AI coding tools to enhance your coding efficiency. Then, we’ll dive deep into what an algorithm is and explore essential algorithms like recursion, the Tower of Hanoi algorithm, the Knapsack problem, and Prim's Algorithm. You'll also get hands-on with various data structure types, and how to choose the right one for different scenarios. We’ll provide a guide on how to get internships and practical exposure, followed by an introduction to the top 10 programming projects to solidify your learning and improve your portfolio. By the end of this course, you’ll be equipped with the skills to confidently tackle coding challenges and real-world problems using data structures and algorithms.

This Data Structures and Algortihms Full Course will cover the following topics:

00:00:00 Introduction to Data Structures Full Course
05:26:27 Data Structures Tutorial For Beginners
05:38:31 Best AI Coding tools
05:50:06 What is an Algorithm
06:01:10 What is recursion
06:12:33 tower of hanoi algorithm
06:36:45 Knapsack algorithm
07:05:34 Prims Algorithm
10:41:28 Data Structure tutorial
10:48:59 How to get Internships
11:02:09 Top 10 Programming Projects

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#datastructures #algorithm #datastructuresandalgorithms #queues #stack #linkedlist #cprogramming #cpp #programming #simplilearn #2025

➡️ About Post Graduate Program in Full Stack Web Development

This program will give you the foundation for building full stack web apps using the Java programming language. You'll begin with the basics of JavaScript, and then venture into some of the more advanced concepts like Angular, Spring Boot, Hibernate, JSPs, and MVC. Now is a perfect time to get started on your career as a full stack web developer!

Key Features
✅ Live sessions on the latest AI trends, such as generative AI, prompt engineering, explainable AI, and more
✅ Caltech CTME Post Graduate Certificate
✅ Attend Masterclasses from Caltech CTME instructors
✅ Online Convocation by Caltech CTME Program Director
✅ Receive up to 25 CEUs from Caltech CTME
✅ Caltech CTME Circle Membership
✅ Live virtual classes led by industry experts, hands-on projects and integrated labs
✅ 30+ in-demand tools and skills
✅ Capstone Project in 4 domains
✅ 20 lesson-end and 5 phase-end projects
✅ Build your own portfolio on GitHub

Skills Covered
✅ Agile
✅ JAVA
✅ Hibernate and JPA
✅ Spring Core 50
✅ DevOps
✅ HTML5 and CSS3
✅ AWS
✅ JavaScript ES6
✅ Servlets
✅ SOAP and REST
✅ JSP

Learning Path
✅ Induction for Caltech PGP Full Stack Web Development Program
✅ PG FSD: Planning and UI Design
✅ PG FSD: Backend and Database Development
✅ PG FSD: API End Points and Communication
✅ PG FSD: Integration and Deployment
✅ PG FSD: Full Stack Web Development Capstone Project
Electives:
✅ Caltech CTME Full Stack Development Master Class
✅ Generative AI Masterclass

Learn More: https://www.simplilearn.com/pgp-full-stack-web-development-certification-training-course?utm_campaign=ojoT7VTuGOg&utm_medium=Lives&utm_source=Youtube

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This Excel Data Analytics Full Course, from Beginners to Advanced video by simplilearn, will guide you through creating data visualisations and charts like a Funnel Chart in Excel, leveraging advanced functions such as SUMIFS, SUMPRODUCT, and AVERAGEIFS formulas, and mastering Data Visualization techniques, including building Excel Charts like a pro and creating multiple dependent DROP DOWN LISTS. Additionally, you'll learn Data Analytics using AI, how to use Microsoft Power Query for Data Transformation, and importing Excel data into tools like MySQL Workbench and Power BI, alongside learning about the distinctions between a Database and a Data Warehouse. With bonus content covering Automated Payslip Generators, AI in Excel, and tools like ChatGPT and Google Gemini for data analytics, you'll be well-equipped for 2024 with the top Excel formulas and insights for analysts.

The Full course will cover the following topics

00:00:00 Introduction to Excel Full Course
00:03:55 What is Microsoft Excel
05:42:00 Excel Tutorial For Beginners
06:03:24 How to use Microsoft power query
06:12:45 Copilot In EXCEL
06:36:31 10 important excel formulas
06:37:39 What is DBMS
06:48:32 Data Analytics using AI
07:12:59 Data Science Vs Data Analyst
07:31:40 Data Analyst Roadmap
07:32:29 Top BI Terms every data analyst know
08:09:23 How to use ChatGPT to built an Excel Dashboard
08:21:58 Top 10 Data Analyst Projects for your portfolio

⏩ Check out the Excel tutorial videos: https://www.youtube.com/watch?v=nPkmWE4JCfE&list=PLEiEAq2VkUUKf8aLrspLg3zuyJ5S-5K5S

#exceldataanalytics #exceltraining #excelformulasandfunctions #exceldatavisualization #excelcourse #simplilearn #simplilearn #2024

➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

Key Features
✅ Post Graduate Program certificate and Alumni Association membership
✅ Exclusive hackathons and Ask me Anything sessions by IBM
✅ 8X higher live interaction in live online classes by industry experts
✅ Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
✅ Master Classes delivered by Purdue faculty and IBM experts
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Resume preparation and LinkedIn profile building
✅ 1:1 mock interview
✅ Career accelerator webinars

Skills Covered
✅ Data Analytics
✅ Statistical Analysis using Excel
✅ Data Analysis Python and R
✅ Data Visualization Tableau and Power BI
✅ Linear and logistic regression modules
✅ Clustering using kmeans
✅ Supervised Learning

👉 Learn More at: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=e7Wo2VH6NxM&utm_medium=Lives&utm_source=youtube

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This Logistic Regression video will help you understand how a Logistic Regression algorithm works in Machine Learning. You will learn what is Supervised Learning, what is a classification problem, and the maths behind Logistic Regression. In the end, you will see a demo on how to predict the number present in an image using Logistic Regression in Python.

Below topics are covered in this Logistic Regression Tutorial:
0:00 - 01:52 Introduction
01:52 - 05:35 What is Supervised Learning?
05:35 - 06:10 What is Classification?
06:10 - 15:49 What is Logistic Regression?
15:49 - 16:58 Comparing Linear and Logistic regression
16:58 - 18:40 Logistic regression applications
18:40 - 38:17 Use case - Predicting the number in an image


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#LogisticRegression #LogisticRegressionMachineLearning #LogisticRegressionInPython #MachineLearningPython #MachineLearningAlgorithms #MachineLearnAlgorithms #MachineLearning #Simplilearn

What is Logistics Regression?
Logistic regression is a classification algorithm that is used to predict a binary outcome based on a set of independent variables. Logistic regression uses a logistic function to estimate the probability of a target variable belonging to a particular class or category. It assumes that the dependent variable is binary or dichotomous and there should be no or very little multicollinearity between the predictor variables. Logistic regression

➡️ About Post Graduate Program In AI And Machine Learning

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

✅ Key Features

- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

✅ Skills Covered

- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…

👉 Learn More At:


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

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞 (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/python-....programming-certific
This "Python Full Course for Beginners" video provides a comprehensive overview of Python programming. This Python tutorial for beginners has foundational concepts such as variables and data types to advanced topics like functions, modules, and object-oriented programming. This Python for Beginners video offers a step-by-step approach with explanations, examples, and interactive exercises. It's the perfect starting point for individuals eager to dive into Python programming from scratch.

00:00:00 Introduction to Python Full Course
00:01:04 Agenda of Python Full Course
00:03:14 Why use Python
00:46:28 What are comments in Python?
00:49:42 Types of Comments
00:56:44 What is an Operator?
01:19:17 What is A Tuple in Python?
01:27:31 Tuple Methods
01:32:56 When to use Sets in Python?
01:35:38 Finding the length of a Set
01:37:15 Adding Elements to a set
01:45:21 Difference of Sets
01:47:31 Why Use A Python dictionary?
01:48:03 Dictionary Vs Lists
01:49:08 How to Implement Dictionary in Python?
01:56:42 Operation in Python Dictionary
01:59:24 Use Case
02:03:11 Why to Use Loops
02:21:01 Nested Loops
02:36:41 Why use Functions?
02:38:51 What are functions?
02:42:05 Functions
03:03:42 User-Defined Functions in Python
03:08:34 Python Lamba function
03:12:53 What are Python Lambda Functions?
03:17:13 Anonymous Function within user-defined Functions
03:24:14 Lambda within map()
03:32:20 Arrays in Python
03:59:54 Features
04:01:31 Python Salary Trends
04:20:58 Inheritance in python
04:34:29 Exception Handling in python
04:54:28 What is Python Requests?
05:01:30 Cookies and Headers
05:22:02 Regular Expression
05:57:09 E-mail Verification
06:02:33 Python File Handling
06:26:19 HOw to connect python with mysql DB?
06:50:38 What are Sockets?
07:12:47 Numpy V/s List
07:40:53 Pandas in python
08:43:01 Python Matplotlib
09:06:48 Histogram
09:19:46 Basic Operation with OpenCV
09:28:57 Face Detection using OpenCV
09:31:39 Capturinh video
09:47:19 Motion Detector
09:55:58 What is a ChatBot
10:18:07 The map() Function
10:21:54 The Filter() Function
10:24:36 The Reduce() Function
10:32:43 Introduction to SEABORN
10:33:47 Seaborn vs Matplotlib
10:52:10 Basic Python Interview Questions
11:28:54 Python Django Interview Questions

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ 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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📌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/

Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: +18338555775 (toll-free) for more information.

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This video on "What is Trojan" by Simplilearn will take you through the most famous and notorious threat computer world known as the Trojan Horse Virus in cybersecurity. In this video, we'll take you through what a Trojan in cybersecurity is and how it makes its way to a user's computer. In addition, we'll also let you know about the security measures you can take to prevent your system from Trojans. Below are the topics we are covering in this video.
00:00 What Is Trojan?
00:40 Introduction to Trojan
01:12 Types Of Trojans
02:13 How Trojans Spread?
04:12 Tips To Avoid Trojan


🔵 What is Trojan?
A Trojan is a type of harmful software that pretends to be something useful or desirable while actually being malicious. It's like a sneaky imposter hiding inside something you want, like a fun game or a helpful app. Once you unknowingly install it on your computer or device, it can secretly steal your personal information, damage your files, or give control of your system to hackers without your knowledge. Just like the ancient story of the wooden horse, it looks innocent on the outside but hides dangerous intentions inside.

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10 Hacks to take your ChatGPT prompting skills to the next level! 🔝

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People have witnessed supernovae for millennia, but what threat do they pose to life on Earth? This video is sponsored by Brilliant. You can get started for free, or the first 200 people to sign up via https://brilliant.org/veritasium get 20% off a yearly subscription.

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A massive thanks to Prof. Hans-Thomas Janka for helping us with the physics of supernovae and GRBs. A massive thanks to Prof. Brian Thomas for all of his help with the terrestrial effects of supernovae and GRBs. This video would not have been possible without them. Also thanks to Dr. Luke Barnes for his initial help with the literature search.

Hydrogen bomb vs Supernova fact was taken from this great article by xkcd/Randall Munroe – https://what-if.xkcd.com/73/ (based on the calculation by Andrew Karam, 2002)

Cosmic bubble footage from
https://www.cfa.harvard.edu/ne....ws/1000-light-year-w

Neutrino driven SN explosion simulations from https://iopscience.iop.org/art....icle/10.1088/2041-82

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References:

Melott, A. et al. (2019). Hypothesis: Muon radiation dose and marine megafaunal extinction at the End-Pliocene supernova. Astrobiology, 19(6), 825-830. – https://ve42.co/Melott1

Thomas, B. C. et al. (2016). Terrestrial effects of nearby supernovae in the early Pleistocene. The Astrophysical Journal Letters, 826(1), L3 – https://ve42.co/Thomas1

Melott, A. L., & Thomas, B. C. (2019). From cosmic explosions to terrestrial fires?. The Journal of Geology, 127(4), 475-481. – https://ve42.co/Melott2

Fields, B. et al. (2019). Near-Earth supernova explosions: Evidence, implications, and opportunities. arXiv preprint arXiv:1903.04589. – https://ve42.co/Fields1

Thomas, B. C., Atri, D., & Melott, A. L. (2021). Gamma-ray bursts: not so much deadlier than we thought. Monthly Notices of the Royal Astronomical Society, 500(2), 1970-1973. – https://ve42.co/Thomas2

Melott, A. et al. (2004). Did a gamma-ray burst initiate the late Ordovician mass extinction?. International Journal of Astrobiology, 3(1), 55-61. – https://ve42.co/Melott3

Firestone, R. B. (2014). Observation of 23 supernovae that exploded less than 300 pc from Earth during the past 300 kyr. The Astrophysical Journal, 789(1), 29. – https://ve42.co/firestone1

Janka, H. T. (2017). Neutrino emission from supernovae. arXiv preprint arXiv:1702.08713. – https://ve42.co/Janka1

Janka, H. T., & Hillebrandt, W. (1989). Neutrino emission from type II supernovae-an analysis of the spectra. Astronomy and astrophysics, 224, 49-56. – https://ve42.co/Janka2

Janka, H. T. (2017). Neutrino-driven explosions. arXiv preprint arXiv:1702.08825. – https://ve42.co/Janka3

Karam, P. A. (2002). Gamma and neutrino radiation dose from gamma ray bursts and nearby supernovae. Health physics, 82(4), 491-499. – https://ve42.co/Karam1

Melott, A. L., Thomas, et al.. (2017). A supernova at 50 pc: effects on the Earth's atmosphere and biota. The Astrophysical Journal, 840(2), 105. – https://ve42.co/Melott4

Ludwig, P., et al. (2016). Time-resolved 2-million-year-old supernova activity discovered in Earth’s microfossil record. Proceedings of the National Academy of Sciences, 113(33), 9232-9237. – https://ve42.co/Ludwig1

Gritschneder, et al. (2011). The supernova triggered formation and enrichment of our solar system. The Astrophysical Journal, 745(1), 22. – https://ve42.co/Gritschneder1

Motizuki, Y., Takahashi, et al. (2009). An Antarctic ice core recording both supernovae and solar cycles. arXiv preprint arXiv:0902.3446. – https://ve42.co/Motizuki

Zucker, C. et al. (2022). Star formation near the Sun is driven by expansion of the Local Bubble. Nature, 601(7893), 334-337. – https://ve42.co/Zucker1

Hirata, K. et al.(1987). Observation of a neutrino burst from the supernova SN1987A. – https://ve42.co/Hirata1

Hayes, L. A., & Gallagher, P. T. (2022). A Significant Sudden Ionospheric Disturbance Associated with Gamma-Ray Burst GRB 221009A. Research Notes of the AAS, 6(10), 222.

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Written by Petr Lebedev & Derek Muller
Edited by Fabio Albertelli
Animation by Fabio Albertelli, Jakub Misiek, Alex Drakoulis, Ivy Tello, Mike Radjabov, and Charlie Davies
Filmed by Derek Muller
Additional Research by Kovi Rose & Katie Barnshaw
Video/photos supplied by NASA, ESA, Pond5, and Getty Images
Music from Epidemic Sound & Jonny Hyman
Produced by Derek Muller, Petr Lebedev, and Emily Zhang