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Data Science - AI Full Course - Learn Data Science in 12 Hour | Data Science For Beginners | Edureka
๐๐๐ฎ๐ซ๐๐ค๐'๐ฌ ๐๐๐ญ๐ ๐๐๐ข๐๐ง๐๐ ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐๐๐ฌ๐ญ๐๐ซ๐ฌ ๐ฉ๐ซ๐จ๐ ๐ซ๐๐ฆ: https://www.edureka.co/masters....-program/data-scient
๐ฅData Science with Python Certification Course: https://www.edureka.co/data-sc....ience-python-certifi
๐ฅIntegrated MS+PGP Program in Data Science & AI:https://www.edureka.co/dual-ce....rtification-programs
This Edureka Data Science Full Course video will help you understand and learn Data Science Algorithms in detail. This Data Science Tutorial is ideal for both beginners as well as professionals who want to master Data Science Algorithms.
00:00:00 Introduction
00:01:31 What is Data Science?
00:03:26 Who is a Data Scientist?
00:35:36 Top 10 Reasons to Learn Data Science
00:40:12 Data Science Basics
01:33:28 Data Life Cycle
01:37:03 Statistics and Probability
03:09:33 Hypothesis Testing Statistics
04:02:26 What is Machine Learning?
04:19:21 Linear Regression
04:45:59 Logistic Regression
05:34:29 Decision Tree Algorithm
06:19:50 Random Forest
06:47:02 KNN Algorithm
07:19:27 Naive Bayes Classifier
07:39:45 Support Vector Machine
08:05:14 K- Means Clustering Algorithm
08:25:22 Apriori Algorithm Explained
08:55:04 Reinforcement Learning
09:16:30 What is Deep Learning?
09:40:24 Introduction to Keras
10:11:51 Data Science Roadmap
10:21:05 Data Science vs Data Analytics
10:31:05 Data Science for Non Programmers
10:59:00 Data Science Interview Questions
๐ด ๐๐๐๐ซ๐ง ๐๐ซ๐๐ง๐๐ข๐ง๐ ๐๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐๐ฌ ๐
๐จ๐ซ ๐
๐ซ๐๐! ๐๐ฎ๐๐ฌ๐๐ซ๐ข๐๐ ๐ญ๐จ ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐จ๐ฎ๐๐ฎ๐๐ ๐๐ก๐๐ง๐ง๐๐ฅ: https://edrk.in/DKQQ4Py
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Please write back to us at [email protected] or call us at IND: 9606058406 / US: +18885487823 (toll-free) for more information.
๐ฅ Data Analyst Master's Program (Discount Code: YTBE15): https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=SQLForDataAnalytics0122-YvaddgkneEg&utm_medium=DescriptionFF&utm_source=youtube
๐ฅ Professional Certificate Program In Data Analytics: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=SQLForDataAnalytics0122-YvaddgkneEg&utm_medium=DescriptionFF&utm_source=youtube
This video on "SQL for Data Analytics 2023" by Simplilearn will help you understand the various skills needed for data analytics in SQL, and you will know how SQL is used for Data Analytics. This SQL tutorial will also help you master all the basic and advanced-level concepts of SQL programming, along with the demos for the same.
Below are the topics we have covered in this SQL For Data Analysis 2023 video.
00:00:00 Introduction to SQL
00:03:32 What is SQL Tutorial?
00:15.33 What is DBMS?
00:32:30 Installation of MySQL on PC
00:40:10 SQL Syntax, Data types, Commands
01:00:32 What are SQL Operators?
01:23:15 What are SQL Expressions?
01:34:02 How to create a database in MySQL?
01:40:44 What is SQL Table Tutorial?
01:57:39 SQL Select Statement tutorial
02:19:41 What is SQL Clause?
02:44:29 SQL Insert Statement tutorial
02:53:48 SQL Update Statement tutorial
03:01:12 SQL Delete Statement tutorial
03:10:21 What is SQL Join?
03:51:37 What are Keys in SQL?
04:04:53 What are Aggregate Functions?
04:21:12 What are Scalar Functions?
04:37:10 SQL Group by and Order by
04:57:08 How to use Where Clause in SQL?
05:01:24 SQL Where vs. Having Clause
05:21:15 What are Subqueries?
05:31:27 How to Create a user-defined Function in SQL?
05:42:51 What are Commit and Rollback in SQL?
05:58:35 SQL Like Clause Tutorial
06:11:52 How to find Nth highest Salary?
06:25:58 WebSQL Tutorial
06:41:00 Cast and Convert Function in SQL
06:57:21 What is View In SQL?
07:17:03 SQL Interview Questions for Beginners
Dataset Link: https://drive.google.com/drive..../folders/1U8CF0Xx3Ni
๐ฅFree Data Analytics Course: https://www.simplilearn.com/learn-data-analytics-for-beginners-skillup?utm_campaign=SQLForDataAnalytics0122&utm_medium=Description&utm_source=youtube
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#DataAnalyticsWithSQL #DataAnalyticsInSQLFullCourse #DataAnalytics #DataAnalyticsUsingSQL #DataAnalyticsCourse #DataAnalyticsCourseForBeginners #SQLTutorial #SQLTutorialForBeginners #sql #sqlcourse #BusinessAnalystCourse #BusinessAnalyst #BusinessAnalytics #Simplilearn
What is SQL(Structured Query Language)?
SQL is a domain-specific language used in programming and designed for managing data held in a relational database management system or for stream processing in a relational data stream management system.
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About Data Analyst Master's Program
This Data Analytics course in collaboration with IBM makes you a Data Analytics expert. Our Data Analyst course helps you learn analytics tools and techniques, how to work with SQL databases, R and Python, how to create data visualizations and apply statistics and predictive analytics in a business environment. This Data Analytics certification also features Masterclasses from IBM experts.
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What are the Data Analyst course learning objectives?
Simplilearnโs Data Analyst course delivered in collaboration with IBM will provide you with extensive expertise in the booming field of data analytics. This Data Analytics training will teach you how to master descriptive and inferential statistics, hypothesis testing, regression analysis, data blending, data extraction, and forecasting. Through this Data Analyst course, you will also gain expertise in data visualization techniques using Tableau and Power BI, and learn how to organize data and design dashboards.
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Why become a Data Analyst?
The World Economic Forum predicts that, by 2025, Data Analysts will be one of the hottest jobs on the market. Organizations view data analysis as one of the most crucial skills due to the value that they can help derive from data. With over 2.5 quintillion bytes of data created each day, data is more abundant and accessible than ever in todayโs business environment, and with the ever-increasing skill gap in data analytics today, the value of Data Analysts is continuing to grow, creating new jobs, and career advancement opportunities.
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Tools Covered
- Microsoft Excel
- Tableau
- NumPy
- Pandas
- SciPi
- Power BI
- Python
- R Programming
- MySQL
๐Learn more at: https://www.simplilearn.com/data-analyst-masters-certification-training-course#why-become-a-data-analyst?utm_campaign=SQLForDataAnalytics0122&utm_medium=Description&utm_source=youtube
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In this video I show you how to calculate the mean and std across multiple channels of the data you're working with which you will normally then use for normalization to obtain a 0 mean and standard deviation (std) of 1.
People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
ML Course (affiliate): https://bit.ly/3qq20Sx
DL Specialization (affiliate): https://bit.ly/30npNrw
ML Course (no affiliate): https://bit.ly/3t8JqA9
DL Specialization (no affiliate): https://bit.ly/3t8JqA9
GitHub Repository:
https://github.com/aladdinpers....son/Machine-Learning
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PyTorch Playlist:
https://www.youtube.com/playli....st?list=PLhhyoLH6Ijf
๐ฅEdureka PGP in AI & ML: https://www.edureka.co/post-gr....aduate/machine-learn
This Edureka video on What is Text Classification in Machine Learning gives you a brief overview of text classification. In this quick guide, the following topics will be covered:
1) What is Text Classification?
2) Use Case of Text Classification
Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Series: http://bit.ly/2sqmP4s
#PythonEdureka #Edureka #textclassification #pythontextclassification #pythonprojects #pythonprogramming #pythontutorial #PythonTraining
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Become an expert in the exciting new world of AI & Machine Learning, get trained in cutting edge technologies and work on real-life industry-grade projects.
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Why Machine Learning & AI?
Because of the increasing need for intelligent and accurate decision making, there is an exponential growth in the adoption of AI and ML technologies. Hence these are poised to remain the most important technologies in the years to come.
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PG Program in Machine Learning & AI
1. Ranked 4th among NITs by NIRF
2. Ranked among Top 50 Institutes in India
3. Designated as Institute of National Importance
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Program Features
1. Mentorship from NITW faculty
2. Placement Assistance
3. Alumni Status
4. Industry Networking
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Industry Projects
1. Building a Conversational ChatBot
2. Predictive Model for Auto Insurance
3. E-commerce Website - Sales Prediction
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Mentors & Instructors
Dr. RBV Subramaanyam
Professor NITW
Dr. DVLN Somayajulu
Professor NITW
Dr. P. Radha Krishna
Professor NITW
Dr. V. Ravindranath
Professor JNTU Kakinada
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Is this program for me?
If youโre passionate about AI & ML and want to pursue a career in this field, this program is for you. Whether youโre a fresher or a professional, this program is designed to equip you with the skills you need to rise to the top in a career in AI & ML.
Is there any eligibility criteria for this program?
A potential candidate must have one of the following prerequisites: Degrees like BCA, MCA, and B.Tech or Programming experience Should have studied PCM in 10+2
Will I get any certificate at the end of the course?
Yes, you will receive a Post-Graduate industry-recognized certificate from E & ICT Academy, NIT Warangal upon successful completion of the course.
For more information, please write back to us at [email protected] or call us at IND: +91-9606058418 / US: 18338555775 (toll-free).
๐ฅEdureka Tensorflow Training: https://www.edureka.co/ai-deep....-learning-with-tenso
This Edureka LSTM Explained video will help you in understanding why we need Recurrent Neural Networks (RNN) and what exactly it is. It also explains few issues with training a Recurrent Neural Network and how to overcome those challenges using LSTMs.
00:00 Introduction
00:36 Agenda
00:47 Introduction to NLP
01:46 Ways to Process Text Data
02:57 Recurrent Neural Networks
22:02 Long Short-term Memory
51:46 LSTM Use Cases
53:45 Real Time Applications of LSTM
๐นCheck our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE
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#Edureka #DeepLearningEdureka #LSTMExplained #NeuralNetworks #DeepLearningTraining #DeepearningTutorial #EdurekaTraining
How it Works?
1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
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 have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!
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About the Course
Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple โHello Wordโ example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.
Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.
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Who should go for this course?
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. Business Analysts who want to understand Deep Learning (ML) Techniques
4. Information Architects who want to gain expertise in Predictive Analytics
5. Professionals who want to captivate and analyze Big Data
6. Analysts wanting to understand Data Science methodologies
However, Deep learning is not just focused to one particular industry or skill set, it can be used by anyone to enhance their portfolio.
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Why Learn Deep Learning With TensorFlow?
TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
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This is a 1 hour general-audience introduction to Large Language Models: the core technical component behind systems like ChatGPT, Claude, and Bard. What they are, where they are headed, comparisons and analogies to present-day operating systems, and some of the security-related challenges of this new computing paradigm.
As of November 2023 (this field moves fast!).
Context: This video is based on the slides of a talk I gave recently at the AI Security Summit. The talk was not recorded but a lot of people came to me after and told me they liked it. Seeing as I had already put in one long weekend of work to make the slides, I decided to just tune them a bit, record this round 2 of the talk and upload it here on YouTube. Pardon the random background, that's my hotel room during the thanksgiving break.
- Slides as PDF: https://drive.google.com/file/....d/1pxx_ZI7O-Nwl7ZLNk (42MB)
- Slides. as Keynote: https://drive.google.com/file/....d/1FPUpFMiCkMRKPFjhi (140MB)
Few things I wish I said (I'll add items here as they come up):
- The dreams and hallucinations do not get fixed with finetuning. Finetuning just "directs" the dreams into "helpful assistant dreams". Always be careful with what LLMs tell you, especially if they are telling you something from memory alone. That said, similar to a human, if the LLM used browsing or retrieval and the answer made its way into the "working memory" of its context window, you can trust the LLM a bit more to process that information into the final answer. But TLDR right now, do not trust what LLMs say or do. For example, in the tools section, I'd always recommend double-checking the math/code the LLM did.
- How does the LLM use a tool like the browser? It emits special words, e.g. |BROWSER|. When the code "above" that is inferencing the LLM detects these words it captures the output that follows, sends it off to a tool, comes back with the result and continues the generation. How does the LLM know to emit these special words? Finetuning datasets teach it how and when to browse, by example. And/or the instructions for tool use can also be automatically placed in the context window (in the โsystem messageโ).
- You might also enjoy my 2015 blog post "Unreasonable Effectiveness of Recurrent Neural Networks". The way we obtain base models today is pretty much identical on a high level, except the RNN is swapped for a Transformer. http://karpathy.github.io/2015..../05/21/rnn-effective
- What is in the run.c file? A bit more full-featured 1000-line version hre: https://github.com/karpathy/ll....ama2.c/blob/master/r
Chapters:
Part 1: LLMs
00:00:00 Intro: Large Language Model (LLM) talk
00:00:20 LLM Inference
00:04:17 LLM Training
00:08:58 LLM dreams
00:11:22 How do they work?
00:14:14 Finetuning into an Assistant
00:17:52 Summary so far
00:21:05 Appendix: Comparisons, Labeling docs, RLHF, Synthetic data, Leaderboard
Part 2: Future of LLMs
00:25:43 LLM Scaling Laws
00:27:43 Tool Use (Browser, Calculator, Interpreter, DALL-E)
00:33:32 Multimodality (Vision, Audio)
00:35:00 Thinking, System 1/2
00:38:02 Self-improvement, LLM AlphaGo
00:40:45 LLM Customization, GPTs store
00:42:15 LLM OS
Part 3: LLM Security
00:45:43 LLM Security Intro
00:46:14 Jailbreaks
00:51:30 Prompt Injection
00:56:23 Data poisoning
00:58:37 LLM Security conclusions
End
00:59:23 Outro
ChatGPT has taken the world by storm and GPT4 is out soon. While thatโs great, wouldn't you like to run your own chatbot, locally and for free (unlike GPT4)? No more queues, nothing to pay, a choice of models and the ability to create your own characters? Whatโs that? It doesnโt even need a GPU? Sounds too good to be true? Welcome to the text-generation-webui! A gradio web UI for running Large Language Models like GPT-J 6B, OPT, GALACTICA, LLaMA, Pygmalion and many, many more! Whisper and TTS included, allowing you to speak to your characters and have them speak back too.
As with anything AI, youโll have the very best experience of a simple, error free install every time on Linux.
For Microsoft Windows the exact same steps should also work, but as any Windows user knows anything could go wrong at any time!
As for Mac - not sure!
Thanks to huggingface there is a massive library of models, many with Open Source licenses just ready for you to use! Create any custom character you like and take it for a spin - even with just 8GB VRAM. Some models work with much less too ๐
If you donโt like standard installations, you can also use the obfuscated method. Itโs just 3 steps:
1. Install using the 1-click installer
2. Download your model(s)
3. Start the webui!
See the pinned tweet for more links ;)
Iโm pretty sure everyone will want to try this, so expect to see lots more of this interface as others catch on! Just remember where you saw it first - right here on the Nerdy Rodent channel!
== Links! ==
* Installing Anaconda for MS Windows Beginners - https://youtu.be/OjOn0Q_U8cY
* How do I create an animated SD avatar? - https://youtu.be/Z7TLukqckR0
* Stable Diffusion Playlist! - https://youtube.com/playlist?l....ist=PLjC8P1vEncQDVOC
== Stable Diffusion Playlists ==
* Interested in adding things to your AI Art? Try these!
Dreambooth Playlist - https://youtube.com/playlist?l....ist=PLjC8P1vEncQD-QY
* Textual Inversion Playlist - https://youtube.com/playlist?l....ist=PLjC8P1vEncQDSDL
Note that GitHub repositories update often! Be sure to check the GitHub README for the current info ;)m
๐ฅ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐๐ฏ๐๐ฉ๐ฌ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐๐จ๐ฎ๐ซ๐ฌ๐ ๐๐๐ ๐๐๐๐ ('๐๐๐๐๐๐๐๐๐'):
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.๐ 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:
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00:00 Top 5 DevOps Certifications
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01:00 Introduction to DevOps
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03:51 AWS Certified DevOps Engineer - Professional
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05:14 Certified Kubernetes Administrator (CKA)
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06:31 Microsoft Certified Azure DevOps Engineer Expert
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07:45 Docker Certified Associate (DCA)
โ
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
๐๐๐ฎ๐ซ๐๐ค๐ ๐๐๐ฏ๐๐ฉ๐ฌ ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐ฌ
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๐ต DevOps Engineer Masters Program: https://bit.ly/3pXp1Ou
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๐ Professional Certificate Program in DevOps with Purdue University: https://bit.ly/3yqRlMS
DevOps Podcast: https://castbox.fm/channel/id1684800
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About the Course
Edurekaโs 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.
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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
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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 [email protected] 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
This is a video about how Japanese samurai swords, aka katanas, are made โ from the gathering of the iron sand, to the smelting of the steel, to the forging of the blade. Head over to https://hensonshaving.com/veritasium and enter code 'Veritasium' for 100 free blades with the purchase of a razor. Make sure to add both the razor and the blades to your cart for the code to take effect.
Special thanks to our Patreon supporters! Join this list to help us keep our videos free, forever:
https://ve42.co/PatreonDEB
If youโre looking for a molecular modeling kit, try Snatoms, a kit I invented where the atoms snap together magnetically - https://ve42.co/SnatomsV
โโโ
A massive thank you to John McBride for making this entire project happen. This would not have been possible without John. Please check out his japan walking tours https://walkjapan.com/
Massive thanks to Craig Mod, Inoue-san, everyone in the Tanabe family, and Takanashi-san. Also a massive thank you to Kevin Cashen โ https://cashenblades.com/
โโโ
References:
Tanii, H., Inazumi, T., & Terashima, K. (2014). Mineralogical study of iron sand with different metallurgical characteristic to smelting with use of Japanese classic iron-making furnace โTataraโ. ISIJ international, 54(5), 1044-1050.
Tate, M. (2005). History of Iron and Steel Making Technology in Japan Mainly on the smelting of iron sand by Tatara. Tetsu-to-Hagane, 91(1), 2-10.
Krauss, G. (1999). Martensite in steel: strength and structure. Materials science and engineering: A, 273, 40-57.
Krauss, G., & Marder, A. R. (1971). The morphology of martensite in iron alloys. Metallurgical Transactions, 2, 2343-2357.
Yalรงฤฑn, ร. (1999). Early iron metallurgy in Anatolia. Anatolian Studies, 49, 177-187.
Kapp, L., Kapp, H., & Yoshihara, Y. (1987). The craft of the Japanese sword. Kodansha International.
Matsumoto, C., Das, A. K., Ohba, T., Morito, S., Hayashi, T., & Takami, G. (2013). Characteristics of Japanese sword produced from tatara steel. Journal of Alloys and Compounds, 577, S673-S677.
Inoue, T. (2010). Tatara and the Japanese sword: the science and technology. Acta Mechanica, 214(1), 17-30.
Images & Video:
Great video from NHK โ https://ve42.co/NHK
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Special thanks to our Patreon supporters:
Adam Foreman, Anton Ragin, Balkrishna Heroor, Bill Linder, Blake Byers, Burt Humburg, Chris Harper, Dave Kircher, David Johnston, Diffbot, Evgeny Skvortsov, Garrett Mueller, Gnare, I.H., John H. Austin, Jr. ,john kiehl, Josh Hibschman, Juan Benet, KeyWestr, Lee Redden, Marinus Kuivenhoven, Max Paladino, Meekay, meg noah, Michael Krugman, Orlando Bassotto, Paul Peijzel, Richard Sundvall, Sam Lutfi, Stephen Wilcox, Tj Steyn, TTST, Ubiquity Ventures
โโโ
Directed by Petr Lebedev
Written by Petr Lebedev and Derek Muller
Edited by Trenton Oliver, Jack Saxon, Peter Nelson
Animated by Fabio Albertelli, Jakub Misiek, David Szakaly
Filmed by Petr Lebedev and Lui Kimishima
Produced by Petr Lebedev, Derek Muller, Han Evans, Giovanna Utichi, Emily Taylor
Additional research by Gregor ฤavloviฤ
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Additional video/photos supplied by Getty Images
Music from Epidemic Sound
High Quality HDR 12K VIDEO ULTRA HD 120FPS, 60FPS, 30FPS For Your HDR 8K resolution devices. Amazing combination of 16k sensor and one of the sharpest lenses in the world Zeiss Otus set in addition of HDR brings image to life! You can use this collection of Hight Resolution clips in your Tv For The Living Room, Office, Lounge, Waiting Room, Spa, Showroom, Restaurant and more. Play It On Your LG Qled TV, Samsung Oled TV, Smart TV, Sony Device, Samsung Technology, Roku, Apple TV, IPad Pro, Apple XDR, Chromecast, Xbox, Playstation and more.
๐ฆฃ Note: To view at 8K 60P you will need to use Chrome & opera.
๐ All Videos was shot, edited & color graded by me.
THESE 8K VIDEOS ARE FOR TV'S FOR DEMO AND TEST THE QUALITY OF ALL 8K TV'S.
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I have done High color correction, Color changing, Raw Videos editing, HDR color Setting, merge files & 8K Export file etc.
Editing Video by
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This video created for entertainment informative, educational purposes and Film & Animation.
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Copyright
๐ฝ๏ธ All The footage Was Edited And Color Corrected By Me.
๐ฝ๏ธ Video Footage Copyright Under License.
All other rights reserved.
#12khdr #DolbyVision #60fps
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๐จ๐ซ ๐
๐ซ๐๐! ๐๐ฎ๐๐ฌ๐๐ซ๐ข๐๐ ๐ญ๐จ ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐จ๐ฎ๐๐ฎ๐๐ ๐๐ก๐๐ง๐ง๐๐ฅ: https://2ly.link/1w69F
This Edureka video explains "Implementing secure CI-CD Pipelines with DevSecOps" in a simple comprehensive fashion. DevSecOps is an amalgamation of Development, Operations, and Security wherein the security aspect is baked through your DevOps process and not just integrated at the end of the Software Development Life Cycle.
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โฉ NEW Top 10 Technologies To Learn In 2024 - https://www.youtube.com/watch?v=vaLXPv0ewHU
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Please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll-free) for more information.
So now that you know the basics of what Pytorch is, let's apply it using a basic neural network example. The very first thing we have to consider is our data.
Text-based tutorials and sample code: https://pythonprogramming.net/....data-deep-learning-n
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#pytorch #deeplearning #machinelearning
Time series forecasting has a wide range of applications: finance, retail, healthcare, IoT, etc. Recently deep learning models such as ESRNN or N-BEATS have proven to have state-of-the-art performance in these tasks. Nixtlats is a python library that we have developed to facilitate the use of these state-of-the-art models to data scientists and developers, so that they can use them in productive environments. Written in pytorch, its design is focused on usability and reproducibility of experiments. For this purpose, nixtlats has several modules:
Data: contains datasets of various time series competencies.
Models: includes state-of-the-art models.
Evaluation: has various loss functions and evaluation metrics.
Objective:
- To introduce attendees to the challenges of time series forecasting with deep learning.
- Commercial applications of time series forecasting.
- Describe nixtlats, their components and best practices for training and deploying state-of-the-art models in production.
- Reproduction of state-of-the-art results using nixtlats from the winning model of the M4 time series competition (ESRNN).
Project repository: https://github.com/Nixtla/nixtlats.
Connect with us:
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๐ฅ Introduction to Generative AI: https://www.edureka.co/introduction-generative-ai
๐ฅ Prompt Engineering Course: https://www.edureka.co/prompt-....engineering-generati
๐ฅ ChatGPT Training Course: https://www.edureka.co/openai-....chatgpt-training-cou
In this video, we dive into *The Future of Generative AI* and the exciting *Job opportunities* it presents. We cover everything from what Generative AI is, its growing importance, and the key skills required to succeed in this field to how you can get started and the career paths emerging within the industry. We also discuss the question on many minds: Is Generative AI eating our jobs? Whether you're new to the field or looking to explore new career opportunities, this video will provide valuable insights into how Generative AI is shaping the job market and your future.
โ
00:00 - The Future of Generative AI and Job Opportunities
โ
01:16 - What is Generative AI?
โ
02:26 - Importance of Generative AI
โ
04:40 - Skills Required in Generative AI
โ
06:07 - Getting Started in Generative AI
โ
08:35 - Job Opportunities in Generative AI
โ
09:44 - Is Generative AI Eating Our Jobs?
โ
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๐Feel free to share your comments below.๐
๐ฅ Mastering Generative AI Tools Online: https://www.edureka.co/masteri....ng-generative-ai-too
๐ฅ GitHub Copilot Training Course: https://www.edureka.co/github-....copilot-certificatio
๐ฅ Generative AI In Retail Certification Course: https://www.edureka.co/generat....ive-ai-retail-certif
๐ฅ Generative AI for Software Developers: https://www.edureka.co/generat....ive-ai-software-deve
๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ง๐ฅ๐ข๐ง๐ ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐๐ง๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง๐ฌ
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What is Generative AI?
Generative AI is a branch of artificial intelligence that focuses on producing or creating fresh content, such as images, text, audio, or even videos, that closely resembles data generated by humans. In contrast to conventional AI models that learn to identify patterns or make decisions based on existing data (discriminative models), generative AI models are trained to produce new data that mirrors the original training data.
What is Prompt Engineering?โ
Prompt engineering involves optimizing artificial intelligence engineering for multiple purposes. It includes refining large language models (LLMs) using specific prompts and recommended outputs. Additionally, it focuses on enhancing input to different generative AI services to make text or images.
What kinds of jobs can you get with Prompt Engineering skills?โ
Here are some potential job roles:
โข Machine Learning Engineer
โข Data Scientist
โข Natural Language Processing (NLP) Engineer
โข AI Research Scientist
โข Software Engineer (AI/ML)
โข Data Engineer
โข Conversational AI Developer
โข AI Product Manager
โข AI Ethicist
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US & Others: +18885487823 (toll-free)
#genai #generativeai #aijobopportunities #futureofai #aicareers #aitrends2024
#generativeaiexamples
Andrew Ng @ GPU Technology Conference 2015
This Edureka video on ๐๐ก๐๐ญ๐๐๐ ๐๐ฑ๐๐ฆ๐ฉ๐ฅ๐๐ฌ will explain how you can use ChatGPT for different use cases and 10x Your Productivity. ChatGPT capable of generating human-like text, making them useful for a variety of tasks, including writing and editing. Below are some popular ChatGPT Examples in this ChatGPT tutorial:
00:00 Introduction
00:49 Recipe ideas
02:17 Conversational starters
02:45 Backend codes
03:24 Concept explaination accorrding to age
03:53 Translations in different languages
04:00 Product Recommendations
04:32 career coach
05:12 Mood Lightner
05:33 Mental Health Support
06:23 Entertainment suggestion
๐ฅ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ก๐๐ญ๐๐๐ ๐๐จ๐ฎ๐ซ๐ฌ๐ - ๐๐๐ ๐ข๐ง๐ง๐๐ซ๐ฌ ๐ญ๐จ ๐๐๐ฏ๐๐ง๐๐๐: https://www.edureka.co/openai-....chatgpt-training-cou
โฉ Edureka Chat GPT Explained Playlist: http://bit.ly/3HGRy3G
#chatexamples #edureka #chatgptexplained #chatgpt #openai #chatgpttutorial #chatgpt3 #ai #nlp #artificialintelligence
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๐ต About Edureka ChatGPT Certification Training Course
Edurekaโs ChatGPT Certification Training Course will teach you about ChatGPT architecture, GPT models, methodology, and real-world applications. The ChatGPT certification training program is an excellent choice for individuals and organizations seeking to improve their language processing and AI skills and knowledge.
๐ต Why take up the Online ChatGPT Certification Course?
Interested individuals can opt for the Online ChatGPT Certification course as this course provides:
Comprehensive knowledge: The course provides a comprehensive understanding of ChatGPT, including its architecture, training methodology, and real-world applications.
Career advancement: The certification demonstrates an individual's expertise and competence in working with ChatGPT, making them a valuable asset to any organization.
Stay ahead of the curve: ChatGPT is a rapidly growing field, and with the certification, one can stay ahead of the curve and stay updated with the latest advancements in the industry.
Enhance skills: The course provides practical skills and knowledge that can be applied to various areas and industries.
๐ต Who should take up this ChatGPT Certification Course?
The ChatGPT Certification Course is suitable for a wide range of individuals, including:
AI professionals: This course is ideal for AI professionals who want to gain expertise in ChatGPT and expand their knowledge in the field of AI.
Developers: Developers who want to integrate ChatGPT into their projects and create new AI applications can benefit from the course.
Data scientists: Data scientists who want to understand how ChatGPT can be used to process and analyze large amounts of data can also benefit from the course.
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