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This video on What Is Apache Spark? covers all the basics of Apache Spark that a beginner needs to know. In this introduction to Apache Spark video, we will discuss what is Apache Spark, the history of Spark, Hadoop vs Spark, Spark features, components of Apache Spark, Spark core, Spark SQL, Spark streaming, applications of Spark, etc.
Below topics are explained in this Apache Spark Tutorial:
00.00 Introduction
00:41 History of Spark
01:22 What is Spark?
02:26 Hadoop vs Spark
05:29 Spark Features
08:27 Components of Apache Spark
10:24 Spark Core
11:28 Resilient Distributed Dataset
18:08 Spark SQL
21:28 Spark Streaming
24:57 Spark MLlib
25:54 GraphX
27:20 Spark architecture
32:16 Spark Cluster Managers
33:59 Applications of Spark
36:01 Spark use case
38:02 Conclusion
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Watch more videos on Spark Training: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU
#WhatIsApacheSpark #ApacheSpark #ApacheSparkTutorial #SparkTutorialForBeginners #SimplilearnApacheSpark #SparkTutorial #Simplilearn
Introduction to Apache Spark:
Apache Spark Is an open-source cluster computing framework that was initially developed at UC Berkeley in the AMPLab. As compared to the disk-based, two-stage MapReduce of Hadoop, Spark provides up to 100 times faster performance for a few applications with in-memory primitives. This makes it suitable for machine learning algorithms, as it allows programs to load data into the memory of a cluster and query the data constantly. A Spark project contains various components such as Spark Core and Resilient Distributed Datasets or RDDs, Spark SQL, Spark Streaming, Machine Learning Library or Mllib, and GraphX.
About Simplilearn Apache Spark Certification training:
This Apache Spark and Scala certification training is designed to advance your expertise working with the Big Data Hadoop Ecosystem. You will master essential skills of the Apache Spark open source framework and the Scala programming language, including Spark Streaming, Spark SQL, machine learning programming, GraphX programming, and Shell Scripting Spark. This Scala Certification course will give you vital skillsets and a competitive advantage for an exciting career as a Hadoop Developer.
What are the course objectives?
Simplilearn’s Apache Spark and Scala certification training are designed to:
1. Advance your expertise in the Big Data Hadoop Ecosystem
2. Help you master essential Apache and Spark skills, such as Spark Streaming, Spark SQL, machine learning programming, GraphX programming and Shell Scripting Spark
3. Help you land a Hadoop developer job requiring Apache Spark expertise by giving you a real-life industry project coupled with 30 demos
What skills will you learn?
By completing this Apache Spark and Scala course you will be able to:
1. Understand the limitations of MapReduce and the role of Spark in overcoming these limitations
2. Understand the fundamentals of the Scala programming language and its features
3. Explain and master the process of installing Spark as a standalone cluster
4. Develop expertise in using Resilient Distributed Datasets (RDD) for creating applications in Spark
Who should take this Scala course?
1. Professionals aspiring for a career in the field of real-time big data analytics
2. Analytics professionals
3. Research professionals
4. IT developers and testers
5. Data scientists
6. BI and reporting professionals
Learn more about Apache Spark at https://www.simplilearn.com/big-data-and-analytics/apache-spark-scala-certification-training?utm_campaign=WhatIsApacheSpark&utm_medium=Description&utm_source=youtube
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I Used Chat GPT To Predict Lottery Numbers (Update)
In this update, we dive back into our journey with ChatGPT 4, exploring its potential for lottery number predictions. We'll discuss methods like Python, machine learning, and even Excel for predicting lotto outcomes. Can we really predict the lottery? We'll look at the ChatGPT lottery, how to make money with it, and how to use the various ChatGPT plugins. We'll even show a brief ChatGPT tutorial by AI enthusiast Rico Copeland. Stay tuned as we delve deeper into the realm of AI and machine learning lottery predictions.
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My name is Rico Copeland , on this channel I will show you various ways of how to make money online and offline, and how you can start earning income TODAY as well.
Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng discusses POMDPs, policy search, and Pegasus in the context of reinforcement learning.
This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include supervised learning, unsupervised learning, learning theory, reinforcement learning and adaptive control. Recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing are also discussed.
Complete Playlist for the Course:
http://www.youtube.com/view_pl....ay_list?p=A89DCFA6AD
CS 229 Course Website:
http://www.stanford.edu/class/cs229/
Stanford University:
http://www.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
If you're new to Linux, this beginner's course is for you. You'll learn many of the tools used every day by both Linux SysAdmins and the millions of people running Linux distributions like Ubuntu on their PCs. This course will teach you how to navigate Linux's Graphical User Interfaces and powerful command line tool ecosystem.
🔗 Linux Installation guide: https://courses.edx.org/asset-....v1:LinuxFoundationX+
✏️ Beau Carnes teaches this course.
🏗 The Linux Foundation provided a grant to make this course possible.
⭐️ Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:01:38) Chapter 1. Introduction to Linux Families
⌨️ (0:07:39) Chapter 2. Linux Philosophy and Concepts
⌨️ (0:16:37) Chapter 3. Linux Basics and System Startup
⌨️ (1:05:36) Chapter 4. Graphical Interface
⌨️ (1:34:29) Chapter 5. System Configuration from the Graphical Interface
⌨️ (2:04:27) Chapter 6. Common Applications
⌨️ (2:12:57) Chapter 7. Command Line Operations
⌨️ (3:25:50) Chapter 8. Finding Linux Documentation
⌨️ (3:36:53) Chapter 9. Processes
⌨️ (4:07:51) Chapter 10. File Operations
⌨️ (4:31:11) Chapter 11. Text Editors
⌨️ (4:49:25) Chapter 12. User Environment
⌨️ (5:13:32) Chapter 13. Manipulating Text
⌨️ (5:40:04) Chapter 14. Network Operations
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I show you how to train ChatGPT on your own custom data to create your own customisable GPT-4 powered chatbot you can use for your businesses Website or employees. This is the easiest no-code method I have found, and I've tried many different types of chatbot software!
👉 Custom Data Chatbot software: https://jasonwest.com/customgpt
👉 Sitemap generator to feed the required data into the Chatbot: https://adorosario-customgpt-s....treaml-build-sitemap
✅ Get free prompts in my free Chat GPT Community: https://jasonwest.com/chatgptgroup
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#chatgpt #chatbot #jasonwest
🔥Post Graduate Program in Data Analytics: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=DataAnalytics-OOWAk2aLEfk&utm_medium=DescriptionFirstFold&utm_source=youtube
This Excel Data Analytics Full Course video will help you understand the various crucial functions available in Excel, such as lookup, H lookup, sumif/s, counif/s, if error, and others. Finally, you will see how to use the Data Analysis Toolpak to perform various data analysis operations. So, let's begin.
00:00:00 Basic of excel data analysis
00:04:20 Lookup & functions in excel data analysis
01:37:58 Conditional formating in excel data analysis
01:54:30 Data validation in excel data analysis
02:36:30 Sorting and filtering in excel data analysis
03:23:55 Data analysis using toolpak in excel data analysis
Dataset Link: https://drive.google.com/drive..../folders/1U8CF0Xx3Ni
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#DataAnalyticsInExcel #DataAnalyticsInExcelFullCourse #DataAnalyticsWithExcel #DataAnalyticsUsingExcel #DataAnalyticsCourse #DataAnalyticsCourseForBeginners #ExcelForDataAnalysis #ExcelForBeginners #ExcelBasicsForBeginners #ExcelTutorial #ExcelTutorialForBeginners #BusinessAnalystCourse #BusinessAnalyst #BusinessAnalytics #Simplilearn
What is Microsoft Excel?
Excel is one of the best applications available for creating spreadsheets to crunch numbers and dashboard reports and storing and administering data. This software first appeared on the scene back in 1987, and since then it has grown to become one of the most popular pieces of software for home or business. Excel can be used for data entry to store data in the form of a table, such as recording your daily expenses or business expenditure. It can also be used for inventory management.
✅ Professional Certificate 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.
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- Professional Program certificate and Alumni Association membership
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Learn more at: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=DataAnalytics-OOWAk2aLEfk&utm_medium=DescriptionFirstFold&utm_source=youtube
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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
We asked GPT-3 "if they could be a human, would they want to" and this happened..
✔️ More GPT-3 Interviews: https://www.youtube.com/playli....st?list=PLy-h3fhzw40
Disclaimer: We spoke to GPT-3 using Emerson by QuickChat.ai then visualized the responses with Synthesia.io and are not associated with these companies in any way. All responses from the AI are genuine and are only edited for grammar and/or processing errors.
#gpt3 #artificialintelligence #human
In this webinar, Professor Dan Boneh discusses recent work at the intersection of cybersecurity and machine learning. Specifically, he explores an area known as “adversarial machine learning” which looks at the stability of machine learning models in the presence of adversarial behavior.
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/2Z3aQ0f
#artificialintelligence #machinelearning
This is part 5 of my series on APIs. In this video we connect to the OpenAI API and play around with GPT-3. We also look at how to send data in the body of a POST request inside of the API connector. Enjoy!
If you missed the earlier videos in this series, the links are below:
Part 1: https://youtu.be/ClM6UM6U7EI
Part 2: https://youtu.be/KYinLtIw0Bs
Part 3: https://youtu.be/QEQ8ncop8KM
Part 4: https://youtu.be/14EriUYY7nQ
Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng continues his lecture about support vector machines, including soft margin optimization and kernels.
This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include supervised learning, unsupervised learning, learning theory, reinforcement learning and adaptive control. Recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing are also discussed.
Complete Playlist for the Course:
http://www.youtube.com/view_pl....ay_list?p=A89DCFA6AD
CS 229 Course Website:
http://www.stanford.edu/class/cs229/
Stanford University:
http://www.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Vivek Arya, Bank of America analyst, joins 'Squawk on the Street' to discuss the surprise behind Nvidia's quarterly earnings results, risks to Bank of America's stock thesis on the company and more. For access to live and exclusive video from CNBC subscribe to CNBC PRO: https://cnb.cx/2NGeIvi
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In this video on Docker For Windows we’ll discuss about one of the most popular DevOps tools, i.e. docker. Docker is one of the best containerization platforms out there and in this video, we’re specifically going to discuss about docker for windows. I’ll be covering the following topics:
00:00:00 Introduction
00:01:05 Why use Docker For Windows?
00:03:17 Prerequisites
00:04:15 Tools installed with Docker For Windows
00:05:31 What is Docker?
00:06:35 Docker Terminologies
00:09:50 Install Docker For Windows
00:11:30 Hands-On
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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐎𝐩𝐬 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/devops-....certification-traini (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka session on ‘DevOps Real Time Scenarios’ will discuss the various real time Challenges that you encounter while adopting or implementing DevOps practices. This DevOps tutorial will focus on below topics:
00:00:00 Introduction
00:01:39 Evolution of DevOps
00:02:39 What is DevOps?
00:03:18 Who is DevOps Engineer?
00:04:32 Problems solved by DevOps
00:09:06 Continuous Integration Scenario
00:12:14 Continuous Testing Scenario
00:16:50 Continuous Delivery Scenario
00:20:12 DevOps Data Scenario
00:24:17 Case Study 1
00:25:51 Case Study 2 AMADEUS
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🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
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🌕 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
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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.
Learn about the training pipeline of GPT assistants like ChatGPT, from tokenization to pretraining, supervised finetuning, and Reinforcement Learning from Human Feedback (RLHF). Dive deeper into practical techniques and mental models for the effective use of these models, including prompting strategies, finetuning, the rapidly growing ecosystem of tools, and their future extensions.
*Speakers:*
* Andrej Karpathy
*Session Information:*
This video is one of many sessions delivered for the Microsoft Build 2023 event. View the full session schedule and learn more about Microsoft Build at https://build.microsoft.com
BRK216HFS | English (US) | AI
#MSBuild
🔥Post Graduate Program In Digital Marketing: https://www.simplilearn.com/pgp-digital-marketing-certification-program?utm_campaign=SEOFC9hours&utm_medium=DescriptionFirstFold&utm_source=youtube
This video on SEO tutorial for beginners or SEO Full course, will take you through a number of important topics that will help you make the most out of your Search Engine Optimization(SEO) campaigns. In this SEO Tutorial we will focus on keyword research, Google analytics, Google tag manager, how you can rank number one on Google and YouTube, how to increase YouTube subscribers, how to get traffic to your website, some popular SEO tools, and finally some SEO tips and tricks. Now, let us get started and learn SEO from scratch.
Each of these topics is also explained with practical examples.
SEO Tutorial For Beginners Intro - 00:00
1. What is SEO? (Search Engine Optimization) 00:45
2. Why SEO? 01:36
3. Keyword Research 51:13
4. Copywriting 01:08:40
5. Employment and Industry Trends 01:22:31
6. Analytics 1:25:22
7. Why Keyword Research 1:33:52
8. Types of Keyword Research 1:36:13
9. How to do Keyword Research 1:42:43
10. LSI Keyword 1:58:16
11. Google Analytics 2:13:37
12. Google Analytics Report 2:26:49
13. Google Tag Manager 3:10:31
14. What is Google Tag Manager 3:15:46
15. Benefits of Google Tag Manager 3:16:43
16. How Google Tag Manager Works 3:20:31
17. How to Get started with Google Tag Manager 3:32:01
18. How to Rank #1 on Google 3:46:04
19. Keyword Research 3:49:34
20. High-Quality Content 4:04:28
21. How to Rank YouTube Videos 4:47:16
22. YouTube Keyword Research 4:50:04
23. Importance of user Engagement 5:25:46
24. Promote your content 5:30:16
25. Optimize your youtube videos 5:51:55
26. Create High-Quality Video 6:06:07
27. Engage with your Audience 6:13:01
28. How to get Traffic to your Website 6:25:04
29. Why is traffic Important 6:26:31
30. Paid Advertising 6:27:58
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#SEO #SEOTutorialForBeginners #SEOFullCourse #DigitalMarketing #DigitalMarketingCourse #DigitalMarketingCourse #SimplilearnDMCA #SimplilearnDigitalMarketing #Simplilearn
About Simplilearn Digital Marketing course:
The Digital Marketing Certified Associate (DMCA) course is designed to help you master the essential disciplines in digital marketing, including search engine optimization (SEO), social media, pay-per-click (PPC), conversion optimization, web analytics, content marketing, email and mobile marketing. Digital marketing is one of the world’s fastest growing disciplines, and this certification will raise your value in the marketplace and prepare you for a career in digital marketing.
What skills will you learn from this Digital Marketing course?
This course will enable you to:
1. Gain an in-depth understanding of the various digital marketing disciplines: search engine optimization (SEO), social media marketing, pay-per-click (PPC), website conversion rate optimization, web analytics, content marketing, mobile marketing, email marketing, programmatic buying, marketing automation and digital marketing strategy
2. Master digital marketing execution tools: Google Analytics, Google Ads, Facebook Marketing, Twitter Advertising, and YouTube Marketing
3. Become a virtual digital marketing manager for an e-commerce company with Mimic Pro simulations included in our course. Practice SEO, SEM, Website Conversion Rate Optimization, email marketing and more.
4. Gain real-life experience by completing projects using Google Analytics, Google Ads, Facebook Marketing, and YouTube Marketing
Learn more at: https://www.simplilearn.com/digital-marketing/digital-marketing-certified-associate-training?utm_campaign=SEO-Full-Course-OYRkIGaP80M&utm_medium=Description&utm_source=youtube
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