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This Edureka video on โJob Skills Mapping For Cloud Computingโ will introduce you to nitty gritty of Cloud Computing and possible Roles and Responsibilities a cloud engineer, job and salary trends.
Topics Covered :
00:00:00 Introduction
00:01:48 What is Cloud Computing?
00:07:15 Why Cloud Computing in 2020?
00:28:10 Cloud Computing Life Cycle
00:35:55 Applications of Cloud Computing
00:36:44 Learning Path for Cloud Computing
00:45:07 Salary Trends
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๐ด ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ง๐ฅ๐ข๐ง๐ ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐๐ง๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง๐ฌ
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๐ข๐ข ๐๐จ๐ฉ ๐๐ ๐๐ซ๐๐ง๐๐ข๐ง๐ ๐๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐๐ฌ ๐ญ๐จ ๐๐๐๐ซ๐ง ๐ข๐ง 2023 ๐๐๐ซ๐ข๐๐ฌ ๐ข๐ข
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#cloud_computing #cloudcomputing
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๐ฅ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐๐ฏ๐๐ฉ๐ฌ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐๐จ๐ฎ๐ซ๐ฌ๐: https://www.edureka.co/devops-....certification-traini (Use code "๐๐๐๐๐๐๐๐๐")
This Edureka "Continuous Monitoring with Grafana" video gives you a complete overview of what is Grafana and how to use it. You will also learn about the Grafana Graphical User Interface.
Topics covered :
00:00:00 Introduction
00:01:30 Continuous Monitoring in DevOps
00:12:38 Why do we need Continuous Monitoring
00:24:45 Introduction to Grafana
00:29:04 Getting Started with Grafana
00:30:53 Hands-On
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๐ต DevOps Online Training: http://bit.ly/3VkBRUT
๐ AWS Online Training: http://bit.ly/3ADYwDY
๐ต React Online Training: http://bit.ly/3Vc4yDw
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๐ต Power BI Online Training: http://bit.ly/3VntjMY
๐ Selenium Online Training: http://bit.ly/3EVDtis
๐ต PMP Online Training: http://bit.ly/3XugO44
๐ Salesforce Online Training: http://bit.ly/3OsAXDH
๐ต Cybersecurity Online Training: http://bit.ly/3tXgw8t
๐ Java Online Training: http://bit.ly/3tRxghg
๐ต Big Data Online Training: http://bit.ly/3EvUqP5
๐ RPA Online Training: http://bit.ly/3GFHKYB
๐ต Python Online Training: http://bit.ly/3Oubt8M
๐ Azure Online Training: http://bit.ly/3i4P85F
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๐ Microservices Online Training: http://bit.ly/3gxYqqv
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The video on *Top 10 Skills to Learn In 2023* by Simplilearn is focused on industry-relevant skills that will help you to grow a better career according to the current IT standards. This video on Top 10 Skills to Learn in 2023 will cover some of the most sought skills like Cloud Computing, Computer Networking, Software Development, and many more. By the end of this video, you will be able to understand and learn the best skills for your professional life.
Top 10 Skills To Learn In 2023
๐ข 00:00 *Introduction To Top 10 Skills To Learn In 2023*
๐ข 00:42 *Computer Networking*
A CCNA-certified Networking professional is paid an average salary of โน25 L.P.A in India and $142,000 per annum in America.
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๐ข 01:22 *Cloud Computing*
The average salary of a cloud computing professional in America is 145,000$, and โน26 L.P.A in India.
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๐ข 02:05 *Software Development*
The average salary of a software developer in India is around 28 lakhs to 30 L.P.A, and in America, $180,000 per annum.
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๐ข 02:42 *DevOps*
DevOps developer earns about $145,000 per annum in America and โน27,00,000 in India.
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๐ข 03:18 *Cybersecurity*
The average salary of a cybersecurity professional is โน30,00,000 in India and $165,000 in America.
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๐ข 04:02 *Product Management*
The average salary of a product manager is 35,00,000 lakh in India and 240,000$ per annum in the USA.
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๐ข 04:41 *Data Analysis*
The average salary of a certified data analyst in India is up to 45,00,000 lakh. In America, it can go as high as 250,000$ per annum.
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๐ข 05:26 *Data Science*
The average salary in America ranges from 180,000$ to 250,000$ per annum. And In India, from 25,00,000 to 50,00,000 L.P.A.
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๐ข 06:08 *Machine Learning*
The salary of machine learning engineers in India is as high as 50,00,000 L.P.A. In America, the salary is as high as 275,000$ per annum.
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๐ข 06:51 *Artificial Intelligence*
The salary of an AI Expert in India is more than 60,00,000 lakhs per annum and up to 300,000$ per annum in America.
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This SQL full course or MySQL full course video covers everything to master structure query language using MySQL, PostgreSQL, and SQL server. You will get an idea about built-in SQL functions, joins, subqueries stored procedures, and see the top SQL interview questions frequently asked in the interviews.
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Dataset Link - https://drive.google.com/drive..../folders/1aLVazCdDKF
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#SQLTutorialForBeginners #SQLFullCourse #SQLCourseForBeginners #SQL #LearnSQLForBeginners #SQLForBeginners #SQLTutorial #SQLCourse #SQLTraining #LearnSQLIn8Hours #SQLStructuredQueryLanguage #Simplilearn
What is SQL?
SQL stands for Structured Query Language. It communicates with relational databases such as MySQL, Oracle, and MS SQL Server. Using SQL queries, you can fetch, update, delete and manipulate data stored in rows and columns. SQL became the de facto standard programming language for relational databases after it emerged in the late 1970s and early 1980s. You can also permit users to perform specific tasks on tables, procedures, and views. SQL commands are divided into different types, such as data manipulation language (DML), data definition language (DDL), transaction control language (TCL), and data query language (DQL).
SQL Certification Training Course:
Master SQL and improve your career prospects with Simplilearnโs SQL Database Training Course. Functional knowledge of SQL (Structured Query Language), the leading programming language for relational database management systems, is in high demand and can set you apart in the job market. This SQL certification course gives you all the information you need to successfully start working with SQL databases and use the database in your applications. Learn how to structure your database correctly, author efficient SQL statements and clauses, and manage your database for scalable growth.
Key Features:
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In-depth coverage of SQL fundamentals
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Benefits:
SQL, though an old language, is highly significant today as companies worldwide gather massive amounts of data for their growth. SQL consistently ranks high in the most-requested tech skills and learning it will add great value to your skills.
Eligibility:
This online SQL certification course is ideal for freshers, programmers, software developers, and testing professionals who want to learn SQL. Itโs also ideal for marketing professionals and salespeople who want to better understand their companyโs data.
Prerequisites:
There are no prerequisites for this database training course. This course can be taken up by anyone who wants to learn SQL.
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This video on "What is copywriting" will help you understand copywriting from the ground up. In the world of digital marketing, you must have heard the term copywriting, but very few people talk about copywriting. It's one of the essential skills for any digital marketer. It has been estimated that there are 131,200 copywriters in the United States today. It is projected that the copywriter job market will grow by 7.6% from 2016 to 2026.
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What is Copywriting?
In simple words, copywriting is a type of writing or a set of words that will convince the reader to take some kind of action, and that action can be anything like registering for an event, signing up for something, or buying a product.
Businesses usually hire copywriters to write landing pages, Facebook and google ads copy, social media posts, etc., in order to convince readers to take some action. Copywriting should be a part of any marketing plan and is one of the most powerful ways to capture the attention of your target audience and motivate them to convert or purchase.
Topics Covered in this session:-
- Copywriting Tutorial introduction 00:00
- What is copywriting? 01:39
- What does a copywriter do? 02:58
- Types of copywriting 04:34
- Difference between copywriting and Content Writing 07:06
- Tools for a copywriter 08:07
- Average salary of a copywriter 09:32
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About Post Graduate Program in Digital Marketing Program:
The Post Graduate Program in Digital Marketing in partnership with Purdue University, will help accelerate your digital marketing career. In this digital marketing certification program, youโll learn the latest tools, strategies, frameworks, and best practices in the field.This Post Graduate Program in Digital Marketing will help you gain a deep understanding of digital marketing strategies and expertise in the most widely used digital marketing tools and channels. Through real-life projects and virtual simulations, this digital marketing certification program will help you master various in-demand digital marketing skills.
Key Features:
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Purdue-Simplilearn Joint Post Graduate Program Certification
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Purdue Alumni Membership and Masterclasses
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Masterclasses from top Purdue instructors
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200+ hours of applied learning
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Experiential learning through case studies and theme-based project work
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Get noticed by the top hiring companies
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Learn 35+ Digital Marketing tools
Learn more at: https://www.simplilearn.com/pgp-digital-marketing-certification-program?utm_campaign=WhatIsCopywriting&utm_medium=Description&utm_source=youtube
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![ะ ัะฑะฐ, ะบะพัะพัะฐั ัะฟะฐัะปะฐ ะฒะธะบะธะฝะณะพะฒ [Veritasium]](https://i.ytimg.com/vi/eeewgiAe_oA/maxresdefault.jpg)
๐ฅEdureka's Data Science Training: https://www.edureka.co/data-sc....ience-python-certifi
This Edureka video on 'Support Vector Machine Tutorial For Beginners' covers A brief introduction to Support Vector Machine in Python with a use case to implement SVM using Python.
Topics covered in this video:
00:00:00 Introduction
00:01:15 Agenda
00:01:54 What is Machine Learning?
00:05:37 What is Support Vector Machine?
00:06:51 How does SVM work?
00:09:06 SVM Kernels
00:14:16 SVM Usecases
00:14:33 How to implement SVM
00:14:50 Hands-on
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About the Course :
Edurekaโs Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.
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Why Learn Machine Learning with Python?
Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.
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Who should go for this Course?
Edurekaโs Python Machine Learning Certification Course is a good fit for the below professionals:
Developers aspiring to be a โMachine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'Python' professionals who want to design automatic predictive models
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Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
EE380: Computer Systems Colloquium Seminar
Computer Architecture : Deep Learning in the Age of Zen, Vega, and Beyond
Speaker: Allen Rush, Advanced Micro Devices, Inc.
Deep Learning and Machine Intelligence is maturing to the point where is it is being deployed to many applications, particularly large data, imaging classification and detection. This talk addresses the challenges of deep learning from a computational challenge perspective and discusses the ways in which new compute platforms of Zen (x86) and Vega (GPU) provide high performance solutions to different training and inference applications. The ROCm software stack completes the support with libraries and framework support for a variety of environments.
About the Speaker:
Allen Rush is a fellow at AMD, focusing on imaging and machine learning architecture development. He has been active in imaging and computer vision projects for over 25 years, including several startups. He is the domain architect for ISP and current machine learning development activities in HW, SW and application support.
For more information about this seminar and its speaker, you can visit http://web.stanford.edu/class/....ee380/Abstracts/1701
Support for the Stanford Colloquium on Computer Systems Seminar Series provided by the Stanford Computer Forum.
Colloquium on Computer Systems Seminar Series (EE380) presents the current research in design, implementation, analysis, and use of computer systems. Topics range from integrated circuits to operating systems and programming languages. It is free and open to the public, with new lectures each week.
Learn more: http://bit.ly/WinYX5
For more information about Stanfordโs Artificial Intelligence professional and graduate programs, visit: https://stanford.io/30l2Kkw
Professor Christopher Manning, Stanford University
http://onlinehub.stanford.edu/
Professor Christopher Manning
Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science
Director, Stanford Artificial Intelligence Laboratory (SAIL)
To follow along with the course schedule and syllabus, visit: http://web.stanford.edu/class/....cs224n/index.html#sc
0:00 Introduction
0:23 Announcements
2:00 What is Coreference Resolution?
12:04 Applications
16:40 Coreference Resolution in Two Steps
19:39 Mention Detection: Not so Simple
22:19 Can we avoid a pipelined system?
23:39 4. On to Coreference! First, some linguistics
26:11 Anaphora vs Coreference
27:59 Anaphora vs. Coreference
29:24 Anaphora vs. Cataphora
32:33 Four kinds of Coreference Models
34:43 Hobbs Algorithm Example
40:07 Knowledge-based Pronominal Coreference
45:01 Hobbs' algorithm: commentary
46:06 Coreference Models: Mention Pair
47:33 Mention Pair Training
48:05 Mention Pair Test Time
52:01 7. Coreference Models: Mention Ranking
54:57 Coreference Models: Training
56:05 Mention Ranking Models: Test Time
56:49 A. Non-Neural Coref Model: Features
