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This video, " Power BI Full Course 2023" by Simplilearn, will help you learn the basics of Power BI and the reasons to learn it. In this Power BI tutorial for beginners, you will understand the different components of Power BI, how to use Dax functions to derive value from your data, and how to publish dashboards on to the power bi service.
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00:00:00 Introduction to Power BI
00:05:00 What is Power BI
00:05:20 Why Power BI?
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00:07:48 Componentsof Power Bi
00:09:30 Power Bi Service
00:10:48 Power Bi Dashboard
00:11:50 Power Bi Architecture
00:12:25 Power Bi Use case
00:34:00 How to become a Business analyst
00:34:14 Who is a business analyst
00:34:35 Roles and responsibilities of a business analyst
00:37:00 Business analyst skills
00:41:10 Business Analyst Roadmap
00:42:30 Salary of a business analyst
00:43:00 Companies hiring Business analyst
00:48:50 Connecting data sources
00:57:00 Data Models in Power Bi
01:03:10 DAX functions
01:05:39 Types of DAX Functions
01:06:04 Project in Power Bi
05:05:00 Power BI Dashboard

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➡️ About Post Graduate Program In Data Analytics

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Developers who created the game Portal discuss problems they faced and how they solved them.

This beginner's course teaches the foundations of game development. This video is lecture 11 of CS50's Intro to Game Development from Harvard University.

Check out the full course playlist: https://www.youtube.com/playli....st?list=PLWKjhJtqVAb

⭐️Contents⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:01:58) What is a Portal?
⌨️ (0:04:40) Rendering
⌨️ (0:04:52) Texture vs Stencil Tradeoffs
⌨️ (0:09:35) Rendering Using Stencils
⌨️ (0:15:36) Duplicate Models
⌨️ (0:16:36) Clip Planes
⌨️ (0:17:44) Banana Juice
⌨️ (0:19:44) Recursion
⌨️ (0:23:19) Third Person Gotchas
⌨️ (0:24:48) Pixel Queries
⌨️ (0:26:34) Design
⌨️ (0:27:45) Prototyping in 2D
⌨️ (0:28:48) Training Basics
⌨️ (0:36:22) Portal Funnels
⌨️ (0:38:51) Aerial Faith Plates
⌨️ (0:39:34) Trigger Catapult
⌨️ (0:42:53) Portal Highlight
⌨️ (0:43:44) Portal Placement Helper
⌨️ (0:45:01) Fun Over Accurate Physics
⌨️ (0:46:54) Gels
⌨️ (0:48:09) Portal Gel
⌨️ (0:49:25) Cutting Sticky Gel
⌨️ (0:52:13) Cutting Portal Through Portal
⌨️ (0:53:02) Cutting Double Flings
⌨️ (0:54:31) Energy Ball To Laser
⌨️ (0:56:58) Combining Elements
⌨️ (0:57:35) Laser Introduction
⌨️ (0:57:52) Laser Saturation
⌨️ (0:58:41) Laser Graduation
⌨️ (0:59:14) Laser Combination
⌨️ (1:00:25) Physics
⌨️ (1:00:43) Volumes, Vectors, and Planes
⌨️ (1:03:41) Carving Holes
⌨️ (1:07:20) Collision Lists
⌨️ (1:08:50) Shadow Clones
⌨️ (1:11:32) Q&A
⌨️ (1:13:37) Reduce Rendering Frustum
⌨️ (1:41:05) In Conclusion

Lecture taught by Colton T. Ogden. Thanks to Harvard's CS50 for giving us permission to post this lecture. Checkout their YouTube channel for more great lectures: https://www.youtube.com/cs50

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User Stories, Epics, and Personas help organize all the needs of a project so it is clear what needs to be done.

They are used in many developer jobs for planning projects so it is helpful to know what they are and how to create them.

Video by Anissa Deanna.
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This Edureka Git Full Course video will help you understand and learn the fundamentals of Git . This Git Tutorial is ideal for both beginners as well as professionals who want to master the fundamentals of Git. Below are the topics covered in this git full course tutorial for beginners :
00:00:00 Introduction
00:01:00 Agenda
00:02:26 What is Git
00:18:31 Git features
00:24:10 Git Installation & Setup
00:26:56 Git Operations & Commands
00:54:48 Introduction to SSH Keys
01:14:18 Git Basic Commands
01:20:21 Git Branching
01:27:15 WOrking with Remote Repositories
01:32:02 Advanced Git Commands
01:44:32 GitHub Basics
01:44:08 What is GitHub
01:46:22 Getting Started with GitHub
01:53:32 Creating a New Repository
01:58:55 Creating a Branch
02:09:07 Case study
02:11:07 GitHub Workflow
02:15:55 GitHub Flow
02:22:58 GitBash
02:27:43 How to Install GitBash in Windows
02:46:29 GitHub Repository
03:11:21 Compare Remote Repos
03:13:23 Compare the Local Git branch with remote
03:19:22 Pull request
03:20:55 Creating a pull request from a fork
03:24:07 GitLab CI/CD Pipeline
03:26:50 CI-CD Pipeline
03:32:02 Why use GitLab
03:39:49 Git Branching and Stashing
03:42:02 what is Branching
03:44:02 Git storage strategy
03:58:59 Merge Conflict
04:04:44 Stashing
04:13:03 Git WOrkflow
04:26:09 Centralized WOrkflow
04:35:17 Git Rebase
04:39:51 Golden Rule of Git Rebase
04:44:27 Rebase Commands
04:46:19 Rebase Configuration Options
04:52:44 Difference between merge and Rebase
04:56:38 What is Jenkins
05:09:38 What are webhooks
05:11:26 How to build a webhook
05:17:35 What are GitOps
05:27:03 Giw GitOps Works
05:30:59 Git Beginners interview questions
05:42:37 Git Intermediate Interview Questions
05:56:38 Git Advanced Interview Questions

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📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
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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.

Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

From the "697: The (Short) Path to Artificial General Intelligence", in which AI visionary and CEO of SingularityNET Dr. Ben Goertzel joins @JonKrohnLearns to provide a deep dive into the possible realization of Artificial General Intelligence (AGI) within 3-7 years.

Watch, listen to, or read the full episode at https://www.superdatascience.com/697

Discover strange new universes that turn up at the core of Einstein’s General Relativity. 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, try Snatoms – a kit I invented where the atoms snap together magnetically – https://ve42.co/SnatomsV

▀▀▀
A massive thank you to Prof. Alex Kontorovich for all his help with this video.

A huge thank you to Prof. Geraint Lewis and Dr. Ashmeet Singh for helping us understand the applications of Non-Euclidean geometry in astronomy/cosmology.

Lastly, a big thank you to Dr. Henry Segerman and Dr. Rémi Coulon for helping us visualize what it’s like to be inside hyperbolic space and helping us understand hyperbolic geometry.

▀▀▀
Images:
Euclid via Science Museum Group - https://ve42.co/Euclid

Geodesy survey via ams - https://ve42.co/Geodesy

John Wheeler via NAS Online - https://ve42.co/Wheeler

▀▀▀
References:
Dunham, W. (1991). Journey through Genius: Great Theorems of Mathematics. John Wiley & Sons.

Bonola, R. (1955). Non-Euclidean geometry: A critical and historical study of its development. Courier Corporation.

Library of Congress. (n.d.). The Library of Congress. - https://ve42.co/LibofCongress

Euclid’s Elements, Wikipedia - https://ve42.co/Elements

The History of Non-Euclidean Geometry, Extra History via YouTube - https://ve42.co/ExtraHistory

We (could) live on a 4D Pringle - Physics for the Birds via YouTube - https://ve42.co/4DPringle

Parallel Postulate, Wikipedia - https://ve42.co/Parallel

Prékopa, A., & Molnár, E. (Eds.). (2006). Non-euclidean geometries: János Bolyai memorial volume (Vol. 581). Springer Science & Business Media.

St Andrews, University of. (n.d.). Bolyai. MacTutor History of Mathematics. - https://ve42.co/Bolyai

Bolyai, J. (1896). The Science Absolute of Space.. (Vol. 3). The Neomon.

Gauss, Wikipedia - https://ve42.co/Gauss

Singh, U. (2022). Gauss-Bolyai-Lobachevsky: The dawn of non-euclidean geometry. Medium. - https://ve42.co/CPNonEuclidean

Landvermessung, D. Z. (1929). Abhandlungen ueber Gauss' wissenschaftliche Taetigkeit auf den Gebieten der Geodaesie, Physik und Astronomie Bd. 11, Abt. - https://ve42.co/Landvermessung

Nikolai Lobachevsky, Wikipedia - https://ve42.co/Lobachevsky

Lobachevskiĭ, N. I. (1891). Geometrical researches on the theory of parallels. University of Texas.

A Problem with the Parallel Postulate, Numberphile via YouTube - https://ve42.co/NumberphileParallel

Riemann, B. (2016). On the hypotheses which lie at the bases of geometry. Birkhäuser. - https://ve42.co/Riemann

Einstein, A. (1905). On the electrodynamics of moving bodies. Annalen der physik, 17(10), 891-921. - https://ve42.co/Einstein1905

ESA/Hubble. (n.d.). Hubblecast 90: The final frontier of the Frontier Fields. ESA/Hubble. - https://ve42.co/Einstein1905

Agazie, G., et al. (2023). The NANOGrav 15 yr data set: Constraints on supermassive black hole binaries from the gravitational-wave background. - https://ve42.co/NANOGrav

Secrets of the Cosmic Microwave Background, PBS Spacetime via YouTube - https://ve42.co/PBSCMB

Wood, C. (2020). How Ancient Light Reveals the Universe's Contents. Quanta Magazine. - https://ve42.co/AncientLight

Collaboration (2014). Planck 2013 results. XVI. Cosmological parameters. A&A, 571, A16. - https://ve42.co/Planck2013

WMAP Science Team, NASA. (2014). Matter in the Universe. WMAP, NASA. - https://ve42.co/WMAP2014

What Is The Shape of Space, minutephysics via YouTube - https://ve42.co/SpaceShape

Shape of the universe, Wikipedia - https://ve42.co/UniverseShape

Crocheting Hyperbolic Planes: Daina Taimina by Ted, via YouTube - https://ve42.co/Hyperbolic

Hyperbolic Crochet model - https://ve42.co/Crochet

▀▀▀
Special thanks to our Patreon supporters:
Adam Foreman, Amadeo Bee, Anton Ragin, Balkrishna Heroor, Bernard McGee, Bill Linder, Burt Humburg, Dave Kircher, Diffbot, Evgeny Skvortsov, Gnare, Jesse Brandsoy, 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 Casper Mebius
Written by Casper Mebius, Petr Lebedev, Emily Zhang, Derek Muller, and Alex Kontorovich
Edited by Jack Saxon
Animated by Fabio Albertelli, Ivy Tello, and Mike Radjabov
Illustrations by Jakub Misiek and Celia Bode
Filmed by Derek Muller
Produced by Casper Mebius, Derek Muller, and Han Evans

Additional video/photos supplied by Getty Images, Pond5, and by courtesy of: NASA, NASA's Goddard Space Flight Center, NASA Goddard Flight Lab/ CI Lab, NASA’s WMAP science teams, ESO, and ESA/Hubble.
Music from Epidemic Sound
Thumbnail by Ren Hurley

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This video on Leadership vs Management will help you understand the various differences between a Leader and a Manager. What skills are required for Leadership and Management? What are the Roles and Responsibilities when it comes to Leadership vs Management and Why both Leadership and Management are one of the top qualities required in any organization.

In this video, we are going to take a deep dive into the most commonly used words in the business environment, Leadership, and Management.

Here are some key differences between Leadership and Management -
➡️ Vision: Leaders are considered visioners. They set the pathways to excel the organizational growth. They always examine where their organization stands, where they want to go, and how they can reach there by involving the team in paving a future path. In comparison, managers set out to achieve organizational goals by implementing processes, such as budgeting, organizational structuring, and staffing. Managers' vision is bound to the implementation strategies, planning, and organizing tasks to reach the objectives set out by leaders.

➡️ Organizing Vs Aligning: Managers pursue objectives through coordinated actions and tactical processes. Leaders, on the other hand, are less focused on how to organize people and more on finding ways to align and influence them. They accomplish this by helping individuals envision their role in a larger context and the future growth potential their efforts can provide.

➡️ Questioning: A leader asks the questions "what" and "why," whereas a manager focuses on the questions "how" and "when."

➡️ Position Vs Quality: You are a leader if you act in a way that inspires others to do their best. It makes no difference what your title or position is. A manager, on the other hand, is a job title that comes up with a predefined set of obligations.

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In this Advanced Excel Full Course, you will learn the basics of Microsoft Excel from scratch. Excel is a powerful tool used in businesses, schools, and homes worldwide for organizing, analyzing, and manipulating data.

This tutorial is designed for beginners who have little or no experience with Excel. You will learn to navigate the Excel interface, create and format spreadsheets, use basic formulas and functions, and generate charts and graphs.

We will start with the basics of Excel, such as opening a new workbook, entering and formatting data, and working with rows and columns. From there, we will move on to more advanced topics, such as using functions like SUM and AVERAGE, creating charts and graphs, and working with multiple worksheets.

Whether you are a student, a professional, or someone who wants to improve your Excel skills, this tutorial will provide you with a solid foundation to build upon. By the end of this training, you will have the confidence and skills to use Excel effectively in your everyday life.

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🔵 Here is a breakdown of the topics covered in the video:
00:00:00 - Introduction
00:02:30 - What is Excel? & Why do we use Excel?
00:50:54 - What are Templates?
00:59:17 - Condition formatting
01:12:02 - What is List, Sorting the List & Format List
01:23:14 - Multiple Level Sort & Custom Sort
02:26:00 - What is Data Validation?
03:00:31 - What is Pivot Table?
04:38:22 - What is Statistics?
04:42:21 - What is Descriptive Statistics?
05:27:51 - Vlookup Function
06:19:48 - Index Function and Match Function
07:01:18 - Lookup Function
07:41:27 - What is VBA
07:42:56 - What is Macro
07:44:10 - Exploring Visual Basic Editor (VBE)
07:59:46 - Using Macro Recorder
08:13:16 - Interview Questions

----------------------------
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This government warehouse keeps our entire society up to standard. Part of this video was sponsored by Google Domains. Take the first step to get online with a domain name from Google Domains - go to domains.google/veritasium to get 20% off your first year. #GoogleDomains

▀▀▀
Thanks to Rich Press and NIST for the great visit.
Thanks to Dr. Steve Choquette, Dr. Ben Place, and Dr. Johanna Camara for teaching us about the world of Standard Reference Materials.
You can check out all the cool work going on at NIST here: https://www.nist.gov/

▀▀▀
References:

NIST (2022). Standard Reference Materials. – https://ve42.co/WhyStandard2022

Montgomery, R. & Bercik, I. (2022). NIST Standard Reference Materials 2022 Catalog. – https://ve42.co/SRMCatalog

Vincent, J. (2022). Made to measure: why we can’t stop quantifying our lives. The Guardian –
https://ve42.co/Vincent2022

Proffitt, A. (2022). NIST Develops Monkeypox Reference Materials, Sees Growing Role in Outbreak Response. Diagnostics World. – https://ve42.co/Proffitt2022

▀▀▀
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Written by Derek Muller & Emily Zhang
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Filmed by Derek Muller, Trenton Oliver, and Emily Zhang
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Produced by Derek Muller, Petr Lebedev, and Emily Zhang

▶️ Intellipaat's Advanced Certification in Data Analytics for Business: https://intellipaat.com/data-s....cience-business-anal

In this "Data Analyst Interview Questions and Answers" you will learn the latest and top questions asked by companies for Data Analyst Interviews. This Data Analyst Interview Questions & Answers video covers all kinds of questions starting from basic to advanced questions so you can get benefited. We can assure you that if you watch this Data Analyst Interview Preparation video completely you can crack any Data Engineer job interview easily.

🔵Why Learn Data Analytics?
Data Analytics is an in-demand skill that enables individuals to make informed decisions by analyzing and interpreting data. Learning data analytics can lead to better job opportunities, higher salaries, and the ability to solve real-world problems.

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🔥Intellipaat C Programming & Data Structure Training: https://intellipaat.com/c-data....-structures-training
This C programming tutorial is a complete C tutorial for beginners where you will learn C Programming right from beginning to all the advanced concepts required to master this language.
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Why C Programming is important?

Although numerous computer languages are used for writing computer applications, the computer programming language, C, is the most popular language worldwide. Everything from microcontrollers to operating systems is written in C since it’s very flexible and versatile, allowing maximum control with minimal commands. If you are interested in a career in computer programming, it would be wise to start by learning the C programming language.

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🔥Intellipaat sas Training: https://intellipaat.com/sas-training/
In this sas tutorial you will learn what is sas, various sas applications, sas program structure and hands on sas demo in this sas course video.
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👉Following topics are covered in this SAS tutorial:
00:00 - SAS Training
00:50 - What is SAS?
02:15 - SAS Program Structure
02:35 - SAS Tutorial Demo
16:49 - Libraries
29:32 - Step Boundary
43:39 - Base SAS
50:27 - Proc Copy
01:14:07 - Set Statement
01:16:50 - Assignment
01:17:17 - Where Statement
01:22:07 - Operands
01:28:42 - Reading and Sub Setting SAS Data Sets
02:03:06 - BETWEEN - AND Conditions
02:08:41 - IS NULL and IS MISSING
02:23:04 - Like
02:34:33 - Data Step Processing
02:38:53 - Compilation
02:53:20 - Execution
03:01:10 - MISSOVER
03:18:45 - Question
03:27:38 - Creating SAS datasets from existing SAS Datasets
03:30:048 - Drop and Keep Statements
03:46:14 - Assignment

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Why should you watch this what is sas programming training video?

Around 70% of the companies say it is analytics that help them in making business decisions and they also believe they can only analyze mere 12% of the data they have. So this sas tutorial will help you in understanding how to work with data. We are offering the top sas tutorial that can be watched by anybody to learn sas. Our sas tutorial has been created with extensive inputs from the industry so that you can learn sas easily.

Who should watch this sas training tutorial?

If you want to learn sas to become fully proficient and expert in analyzing data then this Intellipaat explanation on sas is for you. This Intellipaat sas tutorial is your first step to learn sas. Since this sas video can be taken by anybody, so if you are a BI professionals, Software developers and architects, Project managers,ETL, SQL, data warehouse and analytics professionals and graduates wanting to enter in Big Data analytics domain then you can also watch this sas tutorial for beginners to take your skills to the next level.

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It's a powerful analytics tool that is used by enterprises to improve their business performance and analyze data. This SAS training video will provide you with all the right skills to work with spreadsheets, huge sized databases and techniques for debugging.

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** AI & Deep Learning with Tensorflow Training: www.edureka.co/ai-deep-learning-with-tensorflow **
This Edureka video of "Autoencoders Tutorial" provides you with a brief introduction about autoencoders and how they compress unsupervised data. You will get detailed information on the different types of Autoencoders with the code for each type. You will see the various applications and types of autoencoders used in deep learning for dimentionality reduction.
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⏩ NEW Top 10 Technologies To Learn In 2024 - https://www.youtube.com/watch?v=vaLXPv0ewHU

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🔥Edureka'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.

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----------------------------------------
About the Course :

Edureka’s 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.
--------------------------------------
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.
--------------------------------------------
Who should go for this Course?

Edureka’s Python Machine Learning Certification Course is a good fit for the below professionals:
Developers aspiring to be a ‘Machine 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
--------------------------------
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).

🔥Edureka *** Machine Learning Certification Training - https://www.edureka.co/machine....-learning-certificat ***
This Edureka video on "Clustering Algorithms" will help you understand the various aspects of clustering using K Means in Python.
00:00 Introduction
00:38 Agenda
01:22 What is Amazon SageMaker
04:26 Create your AWS Account
06:54 Create your First Notebook Instance
13:04 Download & Explore Dataset
17:48 Train your Model
24:42 Deploy your Model
26:55 Evaluate your Model
29:07 Case Study

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-----------------------------------------Edureka Masters Programs---------------------------------------------------

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About the Course

Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling 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. Analyse 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. Analyse 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.

For online Data Science training write to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free).

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This Machine Learning with Python tutorial gives an introduction to Machine Learning and how to implement Machine Learning algorithms in Python. By the end of this video, you will be able to understand Machine Learning workflow, steps to download Anaconda, types of Machine Learning and hands-on in Python for Linear Regression and K-Means clustering algorithms.


Below are the topics covered in this Machine Learning tutorial:
1. Why Machine Learning? ( 01:09 )
2. Applications of Machine Learning ( 01:50 )
3. How does Machine Learning work? ( 03:33 )
4. Machine Learning Workflow ( 04:53 )
5. Steps to download Anaconda ( 06:13 )
6. Types of Machine Learning ( 09:53 )
7. Linear Regression Demo ( 13:51 )
8. K-Means Clustering Demo ( 26:02 )
9. Use Case - Weather Analysis ( 39:27 )

What is Machine Learning: Machine Learning is an application of Artificial Intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.

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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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In this video, we guide you through a comprehensive Generative AI roadmap for beginners, breaking down the essential steps to kickstart your journey. From learning Python and basic machine learning concepts to diving into deep learning and building generative models like GANs and VAEs, this step-by-step guide covers everything you need. Whether you're just starting out or looking to build a solid foundation in AI, this roadmap will give you the skills and confidence to explore the exciting world of Generative AI. Don't miss out on this must-watch for aspiring AI enthusiasts!

✅ How to learn gen AI for beginners?
To learn Generative AI as a beginner, start by mastering Python and basic machine learning concepts. Then, explore deep learning frameworks like TensorFlow or PyTorch. Study neural networks and dive into generative models like GANs and VAEs. Practice with hands-on projects to build real-world experience.

✅ Does generative AI require coding?
Yes, generative AI typically requires coding, especially in languages like Python. You’ll need to understand coding to work with frameworks such as TensorFlow or PyTorch, build models, and manipulate data. However, some tools and platforms now offer low-code or no-code solutions for those with limited programming skills.

✅ Is AI highly paid?
Yes, AI professionals are highly paid due to the increasing demand for specialized skills in machine learning, data science, and AI development. Roles like AI engineers, data scientists, and machine learning specialists command high salaries, reflecting the value of AI expertise in industries like tech, healthcare, finance, and more.

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

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#genairoadmapforbeginners #genairoadmapforbeginnersandexperts #genAIRoadmap #careerInGenAI #GenAi #simplilearn #2024

➡️ About Post Graduate Program In AI And Machine Learning

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

✅ Key Features

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

✅ Skills Covered

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

👉 Enroll Now: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=ndxvF-Eh_sg&utm_medium=Description&utm_source=youtube

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🔥 Generative AI Course Masters Program: https://www.edureka.co/masters....-program/generative-
In this video on “what is generative AI”, we'll explore concepts like technologies applying advanced algorithms such as generative adversarial networks and autoencoders to analyze data and produce novel images, sounds, and media based on identified patterns. Discover why generative AI has become so important for artists, designers, researchers, and creators in many different fields. It introduces viewers to the platform's accessibility and functionality, highlighting how individuals can interact with it to produce their own distinctive creations. We'll explore the reasons behind its growing popularity and how it's changing the way people work and create. Learn about the journey of generative AI, where the evolution from its beginnings to the latest advancements. See how this technology has grown and changed over time, and what's coming next.

✅ 00:00 - Introduction To Generative AI
✅ 01:32 - Large Language Model (LLM)
✅ 03:04 - Application of Generative AI
✅ 06:53 - Why Generative AI?
✅ 07:41 - Models of Generative AI
✅ 09:38 - Evolution of Generative AI

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📝Feel free to share your comments below.📝

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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Introduction of Generative AI?
Generative AI helps to create new artificial content or data that includes Images, Videos, Music, or even 3D models without any effort required by humans.*GAI provides and generates the needed for text ,videos,audios and other data using generative models often to stimuli. That’s how it makes all the human life more simplifying and directing. It aids in creative endeavors by generating ideas, designs, and content across various domains.


Why Generative AI?
Generative AI enhances decision-making processes by providing valuable insights, augmenting data analysis, and enabling scenario simulations. By generating diverse and realistic options, generative AI helps decision-makers explore alternative strategies, assess potential outcomes, and make informed choices and also they are the major economic growth.


Models of Generative AI?
Their primary function is to understand and capture the underlying patterns or distributions from a given set of data. Once these patterns are learned, the model can then generate new data that shares similar characteristics with the original dataset. Generative AI also has models that are used to improve the quality of the datasets and a additional information to the original dataset but which is not previously seen. The models are made and generated by the data that is trained with the use of main AI algorithms with allow to train the data and synthesis the new characteristic.

For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll-free)."

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐂𝐨𝐮𝐫𝐬𝐞 - 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 𝐭𝐨 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝: https://www.edureka.co/openai-....chatgpt-training-cou
This 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐓𝐮𝐭𝐨𝐫𝐢𝐚𝐥 is intended as a Crash Course on 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 for Beginners. 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 has been growing in popularity exponentially. But, 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 is still not known to many people. In this video, I aim to show you the different ways in which you can use 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 for yourself.

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
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📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
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📌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 [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

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In this video, we are going to learn how to install Microsoft Copilot on a Mac! Microsoft Copilot is an AI-powered assistant designed to enhance your productivity across various Microsoft 365 applications. Copilot provides intelligent suggestions and automations to streamline your workflow.

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➡️ About Professional Certificate Program in Generative AI and Machine Learning

Dive into the future of AI with our Generative AI & Machine Learning course, in collaboration with E&ICT Academy, IIT Guwahati. Learn tools like ChatGPT, OpenAI, Python, and more. Join masterclasses led by IITG faculty , and earn Executive Alumni Status.

Key Features:
✅ Program completion certificate from E&ICT Academy, IIT Guwahati
✅ Curriculum delivered in live virtual classes by seasoned industry experts
✅ Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
✅ Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
✅ Eligibility for a campus immersion program organized at IIT Guwahati
✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
✅ Certificates for IBM courses and industry masterclasses by IBM experts
✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
✅ Access to a wide array of AI tools such as ChatGPT, Hugging Face, DALL-E 2, Midjourney and more
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered:
✅ Generative AI
✅ Prompt Engineering
✅ Chatbot Development
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Machine Learning Algorithms
✅ Statistics

Electives:
✅ IITG AI: ADL & Computer Vision
✅ IITG AI: NLP and Speech Recognition
✅ IITG AI: Reinforcement Learning
✅ IITG AI: Academic Masterclass

👉 Learn More At: https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=VideoID&utm_medium=Description&utm_source=Youtube✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

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➡️ About Professional Certificate Program in Generative AI and Machine Learning

Dive into the future of AI with our Generative AI & Machine Learning course, in collaboration with E&ICT Academy, IIT Guwahati. Learn tools like ChatGPT, OpenAI, Python, and more. Join masterclasses led by IITG faculty, engage in hands-on projects, and earn Executive Alumni Status.
Key Features:
✅ Program completion certificate from E&ICT Academy, IIT Guwahati
✅ Curriculum delivered in live virtual classes by seasoned industry experts
✅ Exposure to the latest AI tools, such as generative AI, LLMs, and prompt engineering
✅ Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
✅ Eligibility for a campus immersion program organized at IIT Guwahati
✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
✅ Certificates for IBM courses and industry masterclasses by IBM experts
✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered:
✅ Generative AI
✅ Prompt Engineering
✅ Chatbot Development
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Machine Learning Algorithms
✅ Speech Recognition
✅ Statistics

👉 Learn More At: https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=VideoID&utm_medium=Description&utm_source=Youtube