Top videos
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Explore the capabilities of AI with our latest YouTube video on ChatGPT's revolutionary memory feature. In this How To Use ChatGPT Memory comprehensive video, we detail how ChatGPT remembers information from your past interactions to tailor and enhance your ongoing experiences. We'll guide you through how this memory mechanism captures essential information and seamlessly integrates it into future discussions. Through vivid real-life scenarios, we demonstrate the practical applications of this technology—from improving project management to customizing educational content and remembering personal preferences. This video is perfect for anyone curious about the practical impacts of AI in daily life and those interested in the technical aspects of how AI can adapt and learn over time. Tune in to discover how ChatGPT's memory is making AI interactions more intuitive and impactful.
In this How To Use ChatGPT Memory video, we start with:
00:00:00 Introduction to ChatGPT Memory Feature
00:01:18 Features of ChatGPT's Memory Feature
00:01:48 How to enable and Manage ChatGPT's Memory Feature
00:03:39 Introducing Temporary Chat Feature
00:06:21 Applications of ChatGPT's Memory Feature using prompts
00:10:52 Delete or Remove ChatGPT's Memory
00:15:31 Other Examples of ChatGPT's Memory Feature using prompts
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➡️ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.
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- 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
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Shortform link:
https://shortform.com/artem
In this video we will talk about backpropagation – an algorithm powering the entire field of machine learning and try to derive it from first principles.
OUTLINE:
00:00 Introduction
01:28 Historical background
02:50 Curve Fitting problem
06:26 Random vs guided adjustments
09:43 Derivatives
14:34 Gradient Descent
16:23 Higher dimensions
21:36 Chain Rule Intuition
27:01 Computational Graph and Autodiff
36:24 Summary
38:16 Shortform
39:20 Outro
USEFUL RESOURCES:
Andrej Karpathy's playlist: https://youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ&si=zBUZW5kufVPLVy9E
Jürgen Schmidhuber's blog on the history of backprop:
https://people.idsia.ch/~juerg....en/who-invented-back
CREDITS:
Icons by https://www.freepik.com/
If you’re interested in using Machine Learning and LLMs at your organization, or just want some insight into best practices, this one is for you!
In this live session with Machine Learning Upgrade author Kristen Kehrer, you’ll learn about key concepts like MLOps, LLMs, ML Infrastructure, and how all of these things can fit together in a holistic, end-to-end system.
You’ll leave with a better understanding of cutting edge Machine Learning tech and organizational best practices so you can help forge the future in data.
What You'll Learn:
1) How LLMs are being used in the world of unstructured data
2) How you can leverage MLOps techniques when building LLM-powered applications
3) Best practices for prompt writing, prompt testing, and evaluating LLMs
This session was part of our OPEN CAMPUS week in October, which included 6 days of live expert sessions.
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In this video, *Cybersecurity in the Age of AI* , we explore how artificial intelligence is revolutionizing the cybersecurity landscape. From AI-powered threat detection to automated responses, we uncover the opportunities and challenges AI brings to cyber defense. Whether you're curious about the benefits of AI in security or concerned about the risks of AI-driven attacks, this video provides essential insights to help you prepare for the future of cybersecurity.
✅ 00:00 - Cybersecurity in the Age of AI
✅ 01:01 - The Current Cybersecurity Landscape
✅ 01:58 - The Role of AI in Cybersecurity
✅ 03:02 - AI Powered Threat Detection
✅ 03:54 - Automated Response to Cyber Threats
✅ 04:25 - Challenges & Risk of AI in Cybersecurity
✅ 05:14 - The Dark Side: AI-Powered Attacks
✅ 05:50 - Preparation for an AI-Driven Cybersecurity Future
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📝Feel free to share your comments below.📝
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What skills or experience do I need to already have before learning cyber security?
Learning fundamentals of computer basics, how operating systems work, basics of networking and how it functions can be useful before you are planning to enroll in a Cyber Security bootcamp. Having surface level knowledge about these can help you in the long run.
What are the basics to learn ethical hacking?
To start with basics of ethical hacking, you can begin with network protocols(rules that allow computers to communicate) and tools, hardware fundamentals, linux, and programming languages such as python, PHP, C, JavaScript, and SQL. Apart from these you can also learn how systems can be weak or open to attacks, different ways of hacking, and the laws that control ethical hacking for starters.
Which are the best foundation programs in cyber security course for beginners?
For someone who is starting in Cyber Security field, it is important to clear the concepts on important topics such as network security, cryptography, authentication, risk management, the basics of ethical hacking and fundamentals of cyber threats.
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PyCharm Python Tutorial. PyCharm for Data Science.
https://github.com/datamites/p....ublic_datasets/tree/
https://github.com/datamites/b....an_house_price_pycha
00:00 Why PyCharm?
02:32 PyCharm Installation.
03:50 PyCharm Quick Overview
27:33 Data Science Project with PyCharm
34:43 Data Science Project src/feature_processing.py
45:18 Data Science Project Labelencoding
58:22 Data Science Project src/train.py
1:21:04 PyCharm integration with GitHub Repository
#Why is #PyCharm?
#How To do Data Science #Project with PyCharm?
Trainer: Mr.Ashok Veda - https://in.linkedin.com/in/ashokveda
Watch above video to understand Why PyCharm? and How To do Data Science Projects with PyCharm?
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This video: "UI/IX Design Full Course" will help you understand the core of UI UX Design. Understand the concepts of UI/UX Design, why design thinking is crucial & get to know about its stages. In the end, be ready to learn the Software Principles of Interaction
along with a UI/UX Career Roadmap.
So, let's get started with UI/IX Design Full Course !!
🔵 What is UI/UX Design?
User interface (UI) design is the process of turning a plain interface into something tasty and practical utilizing images, text, and other visual design elements. User experience, on the other hand, is abbreviated as UX. The secret is to thoroughly map out the customer journey and base your product development on it. The complete user experience with your product is taken care of by UX design. Accessibility throughout the client lifetime is highly valued in UX design.
🔵 Why learn UI/UX Design?
There are many chances for UI/UX designers to diversify, focus, and collaborate across disciplines. Every day, new UI/UX design boundaries are being discovered that function in a range of media kinds, applications, and environments. Whether you're a novice or an expert in the field, working on user interface design will never get boring.
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This Video on Data Analytics Full Course by Simplilearn will help you learn everything you need to know about data analysis. this data analytics full course covers the basics through What is Data Analytics and the Data Analyst Roadmap to advanced topics such as Data Analytics using AI and Data Analysis with Python. You'll learn key skills like Data Manipulation in R, Data Transformation, and SQL Introduction, including Normalization in SQL and SQL CTE. Understand the differences between Data Science vs Data Analyst and gain hands-on experience creating Power BI Dashboards in minutes. Additionally, explore DBMS, Top BI Terms every data analyst should know, and prepare for interviews with common Data Analytics Interview Questions. Finally, leverage ChatGPT and Excel with Data Analytics to enhance your learning.
00:00:00 Introduction to Data Analytics Full Course
00:04:02 What is Big Data
00:05:26 What is Data Analytics
00:07:30 Data Science Vs Data Analyst
00:21:34 Steps Involved in Data Analytics
00:29:52 Data Analyst Roadmap
00:31:00 What is DBMS
00:42:32 Top BI Terms every data analyst know
01:02:24 Create PowerBI Dashboard in minutes
01:47:39 Who is a Data Analyst till R or Python
03:26:56 Data Analysis with Python
03:30:20 Descriptive Analysis Vs Stat
03:47:52 What is ETL
04:02:56 Descriptive statistics using excel
04:19:17 Data Transformation
07:44:15 Data Manipulation In R
07:59:52 Chatgpt and Excel with Data Analytics
08:03:09 SQL Basics
08:33:44 Tableau Calculations and filters
09:18:37 SQL Server tutorial
09:18:47 Data Analytics using AI
09:53:08 Top 10 Data Analytics certifications
✅ What is Data Analytics?
Data analytics is the process of analyzing data to extract insights and make conclusions. It's a multidisciplinary field that uses a variety of techniques, including math, statistics, and computer science. Data analytics can help businesses optimize performance, make more informed decisions, and maximize profit.
⏩ Check out the Data Analytics Playlist: link: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU
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➡️ 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
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Skills Covered
✅ Data Analytics
✅ Statistical Analysis using Excel
✅ Data Analysis Python and R
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✅ Linear and logistic regression modules
✅ Clustering using kmeans
✅ Supervised Learning
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Top Christmas Songs of All Time 🎅🏼 Best Christmas Music Playlist
🎄 Immerse yourself in the joyful and spirited atmosphere of Christmas as we present a carefully curated selection of the best Christmas songs from various eras.
"We Wish You A Merry Christmas" and other timeless classics come together to create a harmonious blend of holiday cheer. Whether you're preparing for a festive gathering, decorating your home, or simply enjoying the magic of Christmas, our playlist is designed to add the perfect musical touch to your celebrations.
🎅 Experience the magic of the season with melodies that have stood the test of time and continue to bring joy to hearts around the world. From traditional carols to contemporary hits, our compilation captures the essence of Christmas, making it a memorable and heartwarming experience for everyone.
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👉 Merry Christmas to all the music lovers. This playlist is perfect for setting the mood for the holiday season and includes all the Christmas songs you know and love. Enjoy!
May the magic of Christmas fill your heart with warmth and love. Merry Christmas!
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➡ How to Create Hyperlinks in HTML with Example
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🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐌𝐲𝐒𝐐𝐋 𝐃𝐁𝐀 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") : https://www.edureka.co/mysql-dba
This Edureka tutorial video on MySQL Workbench explains all the fundamentals of MySQL Workbench with examples
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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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🌕 Azure Online Training: http://bit.ly/3i4P85F
🔵 GCP Online Training: http://bit.ly/3VkCzS3
🌕 Microservices Online Training: http://bit.ly/3gxYqqv
🔵 Data Science Online Training: http://bit.ly/3V3nLrc
🌕 CEHv12 Online Training: http://bit.ly/3Vhq8Hj
🔵 Angular Online Training: http://bit.ly/3EYcCTe
🔴 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
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv
🌕 RPA Developer Masters Program: http://bit.ly/3OteYfP
🔵 Web Development Masters Program: http://bit.ly/3U9R5va
🌕 Computer Science Bootcamp Program: http://bit.ly/3UZxPBy
🔵 Cyber Security Masters Program: http://bit.ly/3U25rNR
🌕 Full Stack Developer Masters Program: http://bit.ly/3tWCE2S
🔵 Automation Testing Engineer Masters Program: http://bit.ly/3AGXg2J
🌕 Python Developer Masters Program: https://bit.ly/3EV6kDv
🔵 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
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Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: +18338555775 (toll-free) for more information.
** Data Science Certification Training: https://www.edureka.co/data-science **
This Edureka's live session on "Introduction To Machine Learning" will help you understand the basics of Machine Learning and how it can be used to solve real-world problems. The following topics are covered in this session:
01:50 Need For Machine Learning
07:17 What is Machine Learning?
09:32 Machine Learning Definitions
11:58 Machine Learning Process
18:42 Types Of Machine Learning
26:11 Type Of Problems Solved Using Machine Learning
29:32 Demo
Blog Series: http://bit.ly/data-science-blogs
Data Science Training Playlist: http://bit.ly/data-science-playlist
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Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV
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LinkedIn: https://www.linkedin.com/company/edureka
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#edureka #edurekaMachineLearning #machineLearning #machineLearningBasics #machineLearningForBeginners #machineLearningTraining #machineLearningCourse
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About the Course
Edureka's Data Science course will cover the whole data lifecycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modeling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities.
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Why Learn Data Science?
Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework.
After the completion of the Data Science course, you should be able to:
1. Gain insight into the 'Roles' played by a Data Scientist
2. Analyze Big Data using R, Hadoop and Machine Learning
3. Understand the Data Analysis Life Cycle
4. Work with different data formats like XML, CSV and SAS, SPSS, etc.
5. Learn tools and techniques for data transformation
6. Understand Data Mining techniques and their implementation
7. Analyze data using machine learning algorithms in R
8. Work with Hadoop Mappers and Reducers to analyze data
9. Implement various Machine Learning Algorithms in Apache Mahout
10. Gain insight into data visualization and optimization techniques
11. Explore the parallel processing feature in R
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Who should go for this course?
The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course:
1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts
3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics
4. Business Analysts who want to understand Machine Learning (ML) Techniques
5. Information Architects who want to gain expertise in Predictive Analytics
6. 'R' professionals who want to captivate and analyze Big Data
7. Hadoop Professionals who want to learn R and ML techniques
8. Analysts wanting to understand Data Science methodologies.
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For online Data Science training, please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.
** Test Automation Engineer Masters Program : https://www.edureka.co/masters....-program/automation- **
This Edureka video on "Software Testing Life Cycle" will provide you with in-depth knowledge about software testing and the different phases involved in the process of testing.
Below are the topics covered in this session:
0:59 Introduction to Software Testing
2:14 Why Testing is Important?
4:17 Who does Testing?
4:40 Software Testing Life Cycle
5:24 Requirement Analysis
8:26 Test Planning
13:01 Test Case Development
16:34 Test Environment Setup
18:23 Test Execution
20:15 Test Cycle Closure
Selenium playlist: https://goo.gl/NmuzXE
Selenium Blog playlist: http://bit.ly/2B7C3QR
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Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV
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SlideShare: https://www.slideshare.net/edurekaIN
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#edureka #edurekasoftwaretesting #softwaretesting #manualtesting #softwaretestinglifecycle #stlc #softwaretestingtutorial
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For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free).
🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐌𝐲𝐒𝐐𝐋 𝐃𝐁𝐀 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/mysql-dba (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka video on 'SQL Triggers' will help you understand the concept of triggers in SQL. Below are the topics covered in this SQL Triggers For Beginners:
00:00:00 Introduction
00:00:21 Agenda
00:00:48 What is a Trigger
00:02:21 Syntax of Trigger
00:04:29 Nested Triggers
00:05:19 Operation in Trigger
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📝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
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t
🌕 Java Online Training: http://bit.ly/3tRxghg
🔵 Big Data Online Training: http://bit.ly/3EvUqP5
🌕 RPA Online Training: http://bit.ly/3GFHKYB
🔵 Python Online Training: http://bit.ly/3Oubt8M
🌕 Azure Online Training: http://bit.ly/3i4P85F
🔵 GCP Online Training: http://bit.ly/3VkCzS3
🌕 Microservices Online Training: http://bit.ly/3gxYqqv
🔵 Data Science Online Training: http://bit.ly/3V3nLrc
🌕 CEHv12 Online Training: http://bit.ly/3Vhq8Hj
🔵 Angular Online Training: http://bit.ly/3EYcCTe
🔴 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
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv
🌕 RPA Developer Masters Program: http://bit.ly/3OteYfP
🔵 Web Development Masters Program: http://bit.ly/3U9R5va
🌕 Computer Science Bootcamp Program : http://bit.ly/3UZxPBy
🔵 Cyber Security Masters Program: http://bit.ly/3U25rNR
🌕 Full Stack Developer Masters Program : http://bit.ly/3tWCE2S
🔵 Automation Testing Engineer Masters Program : http://bit.ly/3AGXg2J
🌕 Python Developer Masters Program : https://bit.ly/3EV6kDv
🔵 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
📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
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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 sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.
** Data Science Certification using R: https://www.edureka.co/data-science **
This Edureka "Data Science Applications" video takes you through the various domains in which data science is being deployed today, along with some potential applications of this technology. The world today runs on data and this video shows exactly that.
Check out our Data Science Tutorial blog series: http://bit.ly/data-science-blogs
Check out our complete Youtube playlist here: http://bit.ly/data-science-playlist
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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/
Facebook: https://www.facebook.com/edurekaIN/
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LinkedIn: https://www.linkedin.com/company/edureka
#datascience #statisticsfordatascience #rstatistics #datascienceessentials #datasciencewithr
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How it Works?
1. This is a 30-hour Instructor-led Online Course.
2. 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.
3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!
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About the Course
Edureka's Data Science Training lets you gain expertise in Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes using R. Data Science Training encompasses a conceptual understanding of Statistics, Time Series, Text Mining and an introduction to Deep Learning. Throughout this Data Science Course, you will implement real-life use-cases on Media, Healthcare, Social Media, Aviation and HR.
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Who should go for this course?
The market for Data Analytics is growing across the world and this strong growth pattern translates into a great opportunity for all the IT Professionals. Our Data Science Training helps you to grab this opportunity and accelerate your career by applying the techniques on different types of Data. It is best suited for:
Developers aspiring to be a 'Data Scientist'
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
'R' professionals who wish to work Big Data
Analysts wanting to understand Data Science methodologies
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Why learn Data Science?
Data science is an evolutionary step in interdisciplinary fields like the business analysis that incorporate computer science, modelling, statistics and analytics. To take complete benefit of these opportunities, you need a structured training with an updated curriculum as per current industry requirements and best practices.
Besides strong theoretical understanding, you need to work on various real-life projects using different tools from multiple disciplines to gather a data set, process and derive insights from the data set, extract meaningful data from the set, and interpret it for decision-making purposes.
Additionally, you need the advice of an expert who is currently working in the industry tackling real-life data-related challenges.
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Got a question on the topic?
Please share it in the comment section below and our experts will answer it for you.
For Data Science Training and Certification, please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free).
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:
►Facebook: https://www.facebook.com/deutschewellenews/
►Twitter: https://twitter.com/dwnews
►Instagram: https://www.instagram.com/dwnews
Für Videos in deutscher Sprache besuchen Sie: https://www.youtube.com/dwdeutsch
#FurureWars #AutonomousWeapons #CyberAttacks
We visited the US Navy to test the best night vision goggles in the world. 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.
If you’re looking for a molecular modeling kit, head to https://ve42.co/SnatomsV to try Snatoms – a kit I invented where the atoms snap together magnetically.
Huge thanks to Dr. Ben Conley and the entire team at the Naval Surface Warfare Center, Crane Division. You can check out more of their work here: https://www.navsea.navy.mil/Ho....me/Warfare-Centers/N
Or their YouTube channel here: https://www.youtube.com/NSWCCraneDivision
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Video References:
Tyson, J. (2001). How Night Vision Works. How Stuff Works. – https://ve42.co/HSWNightVision
Montoro, H. P. Image Intensification: The Technology of Night Vision. Photonics. – https://ve42.co/PhotonicsTech
Brain Stuff - HowStuffWorks via YouTube – https://ve42.co/HSWVideo
Photonis via YouTube – https://ve42.co/Photonis
Operator Drewski via YouTube – https://ve42.co/NVGaming
Night-vision device via Wikipedia – https://ve42.co/NVWiki
Image intensifier via Wikipedia – https://ve42.co/Intensifier
Lodriguss, J. How Digital Cameras Work. AstroPix. –https://ve42.co/AstroPix
Kinka-Byo. (2019). What is the physical cause of increasing noise at high ISO? StackExchange. – https://ve42.co/PhotoISO
Macias, A. (2015). The secret NVGs SEAL Team Six wore on the Bin Laden raid. Business Insider. – https://ve42.co/BINightVision
Van Dommelen, L. Thermionic Emission. Quantum Mechanics for Engineers. – https://ve42.co/Thermoionic
Nave, R. (2016). Blackbody Radiation. HyperPhysics. – https://ve42.co/BlackBody
Night Vision Terminology - Generations. ModArmory. – https://ve42.co/ModArmory
NASA (2018). X-ray Detectors - Electrical Current Detections. – https://ve42.co/NASAXRay
Images & Video:
Osama Bin Laden report, via CNN on YouTube - https://ve42.co/CNNOBL
Sicario Night Raid Scene, via Movieclips on YouTube - https://ve42.co/Sicario
Splinter Cell footage, via Ubisoft on YouTube - https://ve42.co/SplinterCell
Step Brothers Night Vision Scene, via masusockvevo on YouTube - https://ve42.co/StepBrothers
Ukraine report, via CNN on YouTube - https://ve42.co/CNNUkraine
FLIR K2 Thermal Imaging Camera footage, via Teledyne FLIR on YouTube - https://ve42.co/FLIRK2
Chandra X-ray Observatory imagery, via NASA - https://ve42.co/NASAChandra
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Special thanks to our Patreon supporters:
Adam Foreman, Anton Ragin, Balkrishna Heroor, Bernard McGee, Bill Linder, Burt Humburg, Chris Harper, Dave Kircher, Diffbot, Evgeny Skvortsov, Gnare, John H. Austin, Jr., john kiehl, Josh Hibschman, Juan Benet, KeyWestr, Lee Redden, Marinus Kuivenhoven, Mario Bottion, Max Maladino, Meekay, meg noah, Michael Krugman, Paul Peijzel, Richard Sundvall, Sam Lutfi, Stephen Wilcox, Tj Steyn, TTST, Ubiquity Ventures
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Directed by Emily Zhang
Written by Emily Zhang and Derek Muller
Edited by Trenton Oliver
Animated by Mike Radjabov, Fabio Albertelli, and Ivy Tello
Filmed by Trenton Oliver, Emily Zhang, Derek Muller, and Raquel Nuno
Produced by Emily Zhang and Derek Muller
Thumbnail by Ren Hurley
Additional video/photos supplied by Getty Images and Pond5
Music from Epidemic Sound
