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Data Analytics
27 Views · 2 years ago

🔥Post Graduate Program In Data Analytics: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=03May2024Top20MostImportantExcelFormulas&utm_medium=DescriptionFF&utm_source=youtube
🔥IIT Kanpur Professional Certificate Course In Data Analytics (India Only): https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=03May2024Top20MostImportantExcelFormulas&utm_medium=DescriptionFF&utm_source=youtube
🔥Caltech Data Analytics Bootcamp(US Only): https://www.simplilearn.com/data-analytics-bootcamp?utm_campaign=03May2024Top20MostImportantExcelFormulas&utm_medium=DescriptionFF&utm_source=youtube
🔥Data Analyst Masters Program (Discount Code - YTBE15): https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=03May2024Top20MostImportantExcelFormulas&utm_medium=DescriptionFF&utm_source=youtube

Top 20 Most Important Excel Formulas by simplilearn is dedicated to guide the aspiring data analysts and business analysts with the top Excel Formulas For Data Analysis in 2024 and beyond. This Excel tutorial for beginners by Simplilearn will cover the following topics. In this video, we learn into the top 20 to 25 most important Excel formulas every data analyst needs to excel in their role.This excel tutorial will help you to refine your skills, and building a strong foundation in Excel proficiency.

0:00:00 How To Change Lower Case To Upper Case In Excel?
0:01:14 How To Add Rows In Excel?
0:02:47 How To Add Columns In Excel?
0:05:44 How To Select Entire Column In Excel?
0:08:32 How to Compare Two Columns In Excel?
0:15:51 How To Convert Rows To Columns In Excel?
0:17:28 How to Group Rows in Excel?
0:19:13 How To Remove Blank Rows In Excel?
0:23:00 How To Freeze Row In Excel Tutorial
0:25:29 How to Convert Number to Words in Excel?
0:28:14 Combining Data From Multiple Cells In Excel
0:30:42 How To Merge Cells In Excel
0:35:27 How to Add Date in Excel?
0:37:03 How To Change Date Format In Excel (dd/mm/yyyy) To (mm/dd/yyyy)
0:40:57 How To Calculate Age In Excel From A Date Of Birth?
0:42:51 How To Calculate Time Difference in Excel?
0:44:29 DAX In Excel Explained
0:49:34 Checkboxes In Excel
0:53:45 How to Insert Excel in PPT?
0:55:51 How To Insert Image In Excel?
0:59:18 How To Insert PDF in Excel Sheet ?
1:02:46 How To Convert PDF To Excel

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#excel #DataAnalysis #exceltutorial #msexcel #2024 #Simplilearn

➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars

✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning

👉 Learn More At: https://www.simplilearn.com/post-graduate-program-data-science?utm_campaign=03May2024Top20MostImportantExcelFormulas&utm_medium=Description&utm_source=youtube

🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688

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Generative AI
27 Views · 2 years ago

This video is a crash course on understanding how finetuning on LLM models can be performed uing QLORA,LORA, Quantization using LLama2, Gradient and Google Gemma model. This crash course includes both theoretical intuition and practical intuition on making you understand how we can perform finetuning.

Timestamp:

00:00:00 Introduction
00:01:20 Quantization Intuition
00:33:44 Lora And QLORA Indepth Intuition
00:56:07 Finetuning With LLama2
01:20:16 1 bit LLM Indepth Intuition
01:37:14 Finetuning with Google Gemma Models
01:59:26 Building LLm Pipelines With No code
02:20:14 Fine tuning With Own Cutom Data

Code Github: https://github.com/krishnaik06/Finetuning-LLM
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Support me by joining membership so that I can upload these kind of videos
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►Learn In One Tutorials

Statistics in 6 hours: https://www.youtube.com/watch?v=LZzq1zSL1bs&t=9522s&pp=ygUVa3Jpc2ggbmFpayBzdGF0aXN0aWNz

End To End RAG LLM APP Using LlamaIndex And OpenAI- Indexing And Querying Multiple Pdf's

Machine Learning In 6 Hours: https://www.youtube.com/watch?v=JxgmHe2NyeY&t=4733s&pp=ygUba3Jpc2ggbmFpayBtYWNoaW5lIGxlYXJuaW5n

Deep Learning 5 hours : https://www.youtube.com/watch?v=d2kxUVwWWwU&t=1210s&pp=ygUYa3Jpc2ggbmFpayBkZWVwIGxlYXJuaW5n

►Learn In a Week Playlist

Statistics:https://www.youtube.com/watch?v=11unm2hmvOQ&list=PLZoTAELRMXVMgtxAboeAx-D9qbnY94Yay

Machine Learning : https://www.youtube.com/watch?v=z8sxaUw_f-M&list=PLZoTAELRMXVPjaAzURB77Kz0YXxj65tYz

Deep Learning:https://www.youtube.com/watch?v=8arGWdq_KL0&list=PLZoTAELRMXVPiyueAqA_eQnsycC_DSBns

NLP : https://www.youtube.com/watch?v=w3coRFpyddQ&list=PLZoTAELRMXVNNrHSKv36Lr3_156yCo6Nn
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Generative AI
27 Views · 16 days ago

𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐩𝐫𝐨𝐠𝐫𝐚𝐦: https://www.edureka.co/masters....-program/data-scient
🔥Data Science with Python Certification Course: https://www.edureka.co/data-sc....ience-python-certifi
🔥Integrated 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

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Data Analytics
26 Views · 2 years ago

🔥Enroll for the Data Analytics Course: https://intellipaat.com/data-a....nalytics-master-trai

#DataAnalyticsCourse #DataAnalystForBeginners #DataAnalyticsTraining #Intellipaat

This Data Analytics Course covers all the important skill sets required to become a Data Analyst!

We will begin this Data Analytics course by getting introduced to an important prerequisite, which is Python Programming Language, then we will look into Statistics, Probability vs. Statistics, as well as SQL. Next, we will discuss the Difference Between NoSQL And SQL, SQL Server Fundamentals, Data Sources in PowerBI, SQL with PowerBI, etc. Finally, we will cover Data Transformation and Modeling with PowerBI as well as Data Visualization with Power BI Service. Finally, we will cover the most commonly asked Data Analytics interview questions.

🔵 Following topics are covered in this Data Analytics Course
00:00:00 - Introduction
00:03:19 - What is Data Analytics?
00:08:12 - Introduction to Python
00:21:17 - Basics of Python
00:53:59 - Global Variable in Python
03:02:22 - Introduction to Statistics
03:14:21 - Types of Data
03:20:16 - The Central Tendencies
03:26:46 - Variability and Spread
03:27:55 - Implementation in R
03:34:46 - Probability
03:37:26 - Probability Terminology
03:45:02 - Probability Distribution
03:46:51 - Covariance and Correlation
03:57:37 - Hypothesis Testing
04:01:30 - Decision Error
04:25:58 - Types of Rescaling
04:32:18 - Introduction to SQL
04:52:23 - What is NoSQL?
05:04:01 - What is DBMS and RDBMS?
05:17:09 - SQL Server Fundamentals
05:46:29 - What Are Data Types?
07:14:45 - Data Manipulation Language (DML)
07:46:16 - Power BI
08:26:30 - Primary Key and Foreign Key Relationship
09:25:35 - Direct Query Mode
10:06:32 - Data Transformation and Modeling Power BI
10:21:01 - Data Visualization with Power BI Service
11:15:43 - Data Analytics Interview Questions

✅What is a data analytics course?
Data analytics is the process of analyzing raw data to draw out meaningful, actionable insights, which are then used to inform and drive smart business decisions.

✅What is the basic qualification for data analytics?
Aspiring students must earn a bachelor's degree, ideally in statistics or information technology, with at least 60% overall or an equivalent grade point average (CGPA). To become a Data Analyst, students must hold a degree in Economics, Statistics, Computer Science, or Mathematics.

➡ About the Course
Enroll in this advanced certification by IITM Pravartak (The Technology Innovation Hub of IIT Madras) and Intellipaat and learn under the expert guidance of the IIT Madras faculty. The program is designed by industry experts to help you master AWS, cloud computing, VPC, etc., through real-time hands-on projects.

➡Who should take this course?
☑Non-IT Professionals in HR, banking, marketing, sales, etc.
☑BI Professionals
☑Data Analytics Professionals
☑Project Managers
☑Software Developers
☑Information Architects
☑Freshers and Undergraduates can apply for the course

✅ Key Features
👉🏼50+ Live sessions across 7 months
👉🏼218 Hrs Self-paced Videos
👉🏼200 Hrs Project & Exercises
👉🏼Learn from IIT Madras Faculty and Industry Practitioners
👉🏼One-on-one with Industry Mentors
👉🏼Resume Preparation and LinkedIn Profile Review
👉🏼24*7 Support
👉🏼No-cost EMI Option

What’s Covered in This Program?
✅Data wrangling with SQL
✅Presto
✅Introduction to Data Science and Statistics
✅Business Problem Solving, Insights and Storytelling
✅Optimization Techniques
✅KNIME
✅Statistics and Machine Learning using R Programming
✅Predictive Modeling
✅Time-Series Forecasting
✅Feature Engineering
✅Advance Machine Learning Techniques
✅Data Science Execution Strategy
✅Business Case Studies
✅Visualization using Power BI
✅Data Science Capstone Project

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Data Analytics
26 Views · 2 years ago

🔥Edureka Machine Learning Engineer Masters Program: https://www.edureka.co/masters....-program/machine-lea
This Edureka video on Machine Learning Python is a part of the Python Tutorial Series which will give you an introduction to Machine Learning. Python is a powerful language and is a widely used high-level language for general-purpose programming. With features like open-sourced, clear syntax, object-oriented, interpreted, and interactive programming language Python has become the number one choice when it comes to Machine learning. This Python Tutorial on Machine Learning Python also talks about how to implement machine learning algorithms in Python along with the topics like:
00:00 Introduction to Python Tutorial
00:54 Why Machine Learning with Python?
02:39 What is Machine Learning?
05:09 Types of Machine Learning
06:25 Supervised Learning
07:28 KNN algorithm
18:10 Unsupervised Learning
19:03 K-means Clustering Algorithm

Python Tutorial Playlist: https://goo.gl/Na1p9G
Python Tutorial Blog Series: https://goo.gl/wd28Zr

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#edureka #pythonEdureka #machinelearningPython #Python #PythonTutorial #PythonMachineLearning #PythonTraining #machinelearningTutorial #machinelearning
------------------------------------------------------------------------

About the ML Master's Program

Edureka’s Machine Learning Masters Program makes you proficient in techniques like Supervised Learning, Unsupervised Learning and Natural Language Processing. It includes training on the latest advancements and technical approaches in Artificial Intelligence & Machine Learning such as Deep Learning, Graphical Models and Reinforcement Learning.

----------------------

Why Learn Machine Learning?

Machine Learning is a concept that allows the machine to learn from examples and experience, and that too without being explicitly programmed. So instead of you writing the code, what you do is you feed data to the generic algorithm, and the algorithm/machine builds the logic based on the given data.
-------------------------------------

Edureka's Machine Learning Masters Program Curriculum

🟠 Live Courses 🟠
Python Programming Certification Course: https://www.edureka.co/python-....programming-certific
Machine Learning Certification Training using Python: https://www.edureka.co/machine....-learning-certificat
Graphical Models Certification Training: https://www.edureka.co/graphical-modelling-course
Reinforcement Learning: https://www.edureka.co/reinfor....cement-learning-cour
Natural Language Processing with Python Certification: https://www.edureka.co/python-....natural-language-pro
Deep Learning with TensorFlow 2.0 Certification Training: https://www.edureka.co/ai-deep....-learning-with-tenso
Python Spark Certification Training using PySpark: https://www.edureka.co/pyspark....-certification-train

🟠 Elective Course 🟠
Python Scripting Certification Training: https://www.edureka.co/python-scripting

--------------------------------------

Prerequisites

There are no prerequisites for enrollment to the Masters Program. However, as a goodwill gesture, Edureka offers a complimentary self-paced course in your LMS on SQL Essentials to brush up on your SQL Skills. This program is designed and developed for an aspirant planning to build a career in Machine Learning or an experienced professional working in the IT industry.

--------------------------------------

Please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information

Generative AI
26 Views · 2 years ago

🔥 Python Data Science Training (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") : https://www.edureka.co/data-sc....ience-python-certifi
This Edureka Video on Time Series Analysis n Python will give you all the information you need to do Time Series Analysis and Forecasting in Python. Below are the topics covered in this tutorial:

1. Why Time Series?
2. What is Time Series?
3. Components of Time Series
4. When not to use Time Series
5. What is Stationarity?
6. ARIMA Model
7. Demo: Forecast Future

Subscribe to our channel to get video updates. Hit the subscribe button above.

Machine Learning Tutorial Playlist: https://goo.gl/UxjTxm

PG in Artificial Intelligence and Machine Learning with NIT Warangal : https://www.edureka.co/post-gr....aduate/machine-learn

Post Graduate Certification in Data Science with IIT Guwahati - https://www.edureka.co/post-gr....aduate/data-science-
(450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies)

#timeseries #timeseriespython #machinelearningalgorithms

- - - - - - - - - - - - - - - - -

About the Course

Edureka’s Course on Python helps you gain expertise in various machine learning algorithms such as regression, clustering, decision trees, random forest, Naïve Bayes and Q-Learning. Throughout the Python Certification Course, you’ll be solving real life case studies on Media, Healthcare, Social Media, Aviation, HR.
During our Python Certification Training, our instructors will help you to:

1. Master the basic and advanced concepts of Python
2. Gain insight into the 'Roles' played by a Machine Learning Engineer
3. Automate data analysis using python
4. Gain expertise in machine learning using Python and build a Real Life Machine Learning application
5. Understand the supervised and unsupervised learning and concepts of Scikit-Learn
6. Explain Time Series and it’s related concepts
7. Perform Text Mining and Sentimental analysis
8. Gain expertise to handle business in future, living the present
9. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience

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Why learn Python?

Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain.

For more information, Please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll free).

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Data Analytics
26 Views · 2 years ago

🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐋 𝐌𝐚𝐬𝐭𝐞𝐫 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 : https://www.edureka.co/masters....-program/machine-lea (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄
This Video covers the Different Trending Machine Learning Projects in the industry that are open source and are helpful to gain knowledge of machine learning and deep learning. This video also covers the practical implementation of Machine Learning in a few real-life scenarios.

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Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

Data Analytics
26 Views · 2 years ago

Will truth and reason survive the evolution of artificial intelligence? AI researcher Gary Marcus says no, not if untrustworthy technology continues to be integrated into our lives at such dangerously high speeds. He advocates for an urgent reevaluation of whether we're building reliable systems (or misinformation machines), explores the failures of today's AI and calls for a global, nonprofit organization to regulate the tech for the sake of democracy and our collective future. (Followed by a Q&A with head of TED Chris Anderson)

If you love watching TED Talks like this one, become a TED Member to support our mission of spreading ideas: https://ted.com/membership

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The TED Talks channel features talks, performances and original series from the world's leading thinkers and doers. Subscribe to our channel for videos on Technology, Entertainment and Design — plus science, business, global issues, the arts and more. Visit https://TED.com to get our entire library of TED Talks, transcripts, translations, personalized talk recommendations and more.

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https://youtu.be/JL5OFXeXenA

TED's videos may be used for non-commercial purposes under a Creative Commons License, Attribution–Non Commercial–No Derivatives (or the CC BY – NC – ND 4.0 International) and in accordance with our TED Talks Usage Policy: https://www.ted.com/about/our-....organization/our-pol For more information on using TED for commercial purposes (e.g. employee learning, in a film or online course), please submit a Media Request at https://media-requests.ted.com

#TED #TEDTalks #ai

Data Analytics
26 Views · 2 years ago

One of the most important, yet least understood, concepts in all of physics. 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://snatoms.com

▀▀▀
A huge thank you to those who helped us understand different aspects of this complicated topic - Dr. Ashmeet Singh, Supriya Krishnamurthy, Dr. Jos Thijssen, Dr. Bijoy Bera, Dr. Timon Idema, Álvaro Bermejillo Seco and Dr. Misha Titov.

▀▀▀
References:
Carnot, S. (1824). Reflections on the motive power of heat: and on machines fitted to develop that power. - https://ve42.co/Carnot1890

Harnessing The True Power Of Atoms | Order And Disorder Documentaries, Spark via YouTube - https://ve42.co/OrderDisorder

A better description of entropy, Steve Mould via YouTube - https://ve42.co/Mould2016

Dugdale, J. S. (1996). Entropy and its physical meaning. CRC Press. - https://ve42.co/Dugdale1996

Schroeder, D. V. (1999). An introduction to thermal physics. - https://ve42.co/Schroeder2021

Fowler, M. Heat Engines: the Carnot Cycle, University of Virginia. - https://ve42.co/Fowler2023

Chandler, D.L. (2010). Explained: The Carnot Limit, MIT News - https://ve42.co/Chandler2010

Entropy, Wikipedia - https://ve42.co/EntropyWiki

Clausius, R. (1867). The mechanical theory of heat. Van Voorst. - https://ve42.co/Clausius1867

What is entropy? TED-Ed via YouTube - https://ve42.co/Phillips2017

Thijssen, J. (2018) Lecture Notes Statistical Physics, TU Delft.

Schneider, E. D., & Kay, J. J. (1994). Life as a manifestation of the second law of thermodynamics. Mathematical and computer modelling, 19(6-8), 25-48. - https://ve42.co/Schneider1994

Lineweaver, C. H., & Egan, C. A. (2008). Life, gravity and the second law of thermodynamics. Physics of Life Reviews, 5(4), 225-242. - https://ve42.co/Lineweaver2008

Michaelian, K. (2012). HESS Opinions" Biological catalysis of the hydrological cycle: life's thermodynamic function". Hydrology and Earth System Sciences, 16(8), 2629-2645. - https://ve42.co/Michaelian2012

England, J. L. (2013). Statistical physics of self-replication. The Journal of chemical physics, 139(12), 09B623_1. - https://ve42.co/England2013

England, J. L. (2015). Dissipative adaptation in driven self-assembly. Nature nanotechnology, 10(11), 919-923. - https://ve42.co/England2015

Wolchover, N. (2014). A New Physics Theory of Life, Quantamagazine - https://ve42.co/Wolchover2014

Lineweaver, C. H. (2013). The entropy of the universe and the maximum entropy production principle. In Beyond the Second Law: Entropy Production and Non-equilibrium Systems (pp. 415-427). Berlin, Heidelberg: Springer Berlin Heidelberg. - https://ve42.co/LineweaverEntropy

Bekenstein, J.D. (1972). Black holes and the second law. Lett. Nuovo Cimento 4, 737–740. - https://ve42.co/Bekenstein1972

Carroll, S.M. (2022). The Biggest Ideas in the Universe: Space, Time, and Motion. Penguin Publishing Group. - https://ve42.co/Carroll2022

Black hole thermodynamics, Wikipedia - https://ve42.co/BlackHoleTD

Cosmology and the arrow of time: Sean Carroll at TEDxCaltech, TEDx Talks via YouTube - https://ve42.co/CarrollTEDx

Carroll, S. M. (2008). The cosmic origins of time’s arrow. Scientific American, 298(6), 48-57. - https://ve42.co/Carroll2008

The Passage of Time and the Meaning of Life | Sean Carroll (Talk + Q&A), Long Now Foundation via YouTube - https://ve42.co/CarrollLNF

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Special thanks to our Patreon supporters:
Emil Abu Milad, Tj Steyn, meg noah, Bernard McGee, KeyWestr, Amadeo Bee, TTST, Balkrishna Heroor, John H. Austin, Jr., john kiehl, Anton Ragin, Diffbot, Gnare, Dave Kircher, Burt Humburg, Blake Byers, Evgeny Skvortsov, Meekay, Bill Linder, Paul Peijzel, Josh Hibschman, Mac Malkawi, Juan Benet, Ubiquity Ventures, Richard Sundvall, Lee Redden, Stephen Wilcox, Marinus Kuivenhoven, Michael Krugman, Sam Lutfi.

▀▀▀
Written by Casper Mebius, Derek Muller & Petr Lebedev
Edited by Trenton Oliver & Jamie MacLeod
Animated by Mike Radjabov, Ivy Tello, Fabio Albertelli and Jakub Misiek
Filmed by Derek Muller, Albert Leung & Raquel Nuno
Molecular collisions video by CSIRO's Data61 via YouTube: Simulation of air
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/SDO and the AIA, EVE, HMI, and WMAP science teams. As well as the Advanced Visualization Laboratory at the National Center for Supercomputing Applications, B. Robertson, L. Hernquist
Music from Epidemic Sound & Jonny Hyman
Produced by Derek Muller, Petr Lebedev, Emily Zhang, & Casper Mebius

Data Analytics
26 Views · 2 years ago

Поддержите выход новых переводов:
Если вы в России: https://boosty.to/vertdider
Если вы не в России: https://www.patreon.com/VertDider

После аварии на Фукусиме в 2011 году новости заполонило слово «радиация». Тогда-то Дерек Маллер и решил раз и навсегда прояснить, что именно считают опасным после взрывов на атомных станциях.

Перевод: Алексей Лоскутов
Редактура: Елена Смотрвоа
Научная редактура: Кирилл Циберкин
Озвучка: Дмитрий Чепусов, Алексей Никитин, Лиза Чабан
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

Спасибо за поддержку на https://www.patreon.com/VertDider и https://boosty.to/vertdider
Озвучки Vert Dider выходят с вашей помощью:

Pavel Dunaev, Mikhail Stolpovskiy, Sergey Zhukov, Ira Kozlovskaya, Amir, Ника Калмыкова, Куляш, Roman Inflianskas, Мikhail Samin, Aleksandr P., Vitaliy Vachynyuk, Andrei Lubalin, Pavel Parpura, Anton Bolotov, Alena, opperatius, Oleg Zingilevskiy, Eugene Tsaplin, Anatoly Ressin, Katoto Chan, angel, Kirill Zaslavskii, Victor Cazacov, David Malko, Vadim Velicodnii, Artem Amirbekov, Dzmitryi Halyava, Nastya, Stanislav Obrazcoff, POD666, Evgeny Vrublevsky, Alexander Balynskiy, Oleksandr Hrebeniuk, Ilya, Vladyslav Sokolenko, Kseniya Stukova, Валентин Матвейчик, Irina Shakhverdova, Leonid Steinberg, Kirill Vedensky, Aleksei Shabalin, Alexander Goida, Katya Ma, Morock_D, Sergey P, Ranis Zaripov Roman Gelingen, Сергей Клопов, Alexander Lebedev, Lexx, Nikrodol, Rincewind, Sonra44, Rashn, Rashn, Адам Шифф, Владимир Ямщиков, Мария Зверева, Валентин Ильин, Сергей Платоненко, Anton G, Dmitry Perekalin, Vadim, Владимир Авдиев, MaximML , Rekvet, Timophey Popov, Timur Rahmatulin, Timur Rahmatulin, Адам Шифф, Арс Ник, Иван Новиков, Илья Зверев, Никита Омельницкий, Ranis Zaripov

#VertDider #Veritasium

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© https://www.youtube.com/c/veritasium/
Источник: https://youtu.be/sehKAccM8p0

Generative AI
26 Views · 2 years ago

1️⃣ Generative AI Certification Here 🔗 https://bit.ly/3Szkvnm
2️⃣ Generative AI Roadmap 2024 🔗 https://youtu.be/4mYSR9m5NxQ

Welcome to our comprehensive Generative AI Free Course! In this 2-hour tutorial, we delve into the fascinating world of GenAI, covering everything from fundamental concepts to practical applications using AI Tools like: ChatGPT, Bing AI Chat, Dall-E 2, Bing Image Creator, Clipdrop, Tome App, etc. There are 5 end-to-end Generative AI Projects included in this free GenAI course. Whether you're a beginner or an experienced AI enthusiast, this course is designed to provide valuable insights and hands-on experience.

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0:00:00 What is Generative AI?
Gain an understanding of Generative AI, including its relationship with Deep Learning and Machine Learning.

0:06:57 Working with ChatGPT
Explore the various use cases and capabilities of ChatGPT, a powerful tool for generating text.

0:18:15 Learning the art of prompting
Discover best practices for crafting effective prompts to enhance your Generative AI projects.

0:24:18 GenAI Project 1: Start a Business using AI Tools
Dive into an end-to-end project where we explore starting a business with Generative AI.

0:37:46 Introduction to Image Generation
Get an overview of different model types and gain intuition into the training process for image generation.

0:44:04 Working with Clipdrop
Learn about Clipdrop and its capabilities for image manipulation and generation.

0:58:34 GenAI Project 2: Product Design using AI Tools
Engage in an end-to-end image generation project focused on creating a vacuum cleaner.

1:13:45 AI Ethics and Efficiency
Understand the importance of AI ethics and explore recommended practices for efficient AI development.

1:18:01 GenAI Project 3: Creating Presentations ft. Tome App
Utilize the Tome App to build a compelling product deck for the vacuum cleaner created earlier.

1:28:49 GenAI Project 4: Simplifying Docs, Sheets, and Slides
Explore the capabilities of free tools for simplifying document management and presentation creation.

1:41:13 Plagiarism check ft GPT Zero
Learn about GPT Zero and its capabilities for performing plagiarism checks.

1:46:37 GenAI Project 5: Custom Chatbot ft Documind
Discover the features of Documind, a freemium tool for creating custom chatbots.

1:55:03 Subscribe!!


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Reference Videos 🔥
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👉 AI Tools to Build Resume 🔗 https://youtu.be/VF2D9hEV1cE
👉 AI Tools to Build LinkedIn 🔗 https://youtu.be/nOUCLLem0-w
👉 AI Tools to Get Resume Shortlisted 🔗 https://youtu.be/igkPBqyRluA
👉 AI Tools to Build Cover Letter 🔗 https://youtu.be/qjyjdgw-SgQ
👉 AI Tools to Crack Interviews 🔗 https://youtu.be/0DLIVyXEKhQ


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Data Analytics
26 Views · 2 years ago

Python Certification Training for Data Science : https://www.edureka.co/python-....programming-certific
This Edureka session on "Scikit-learn Tutorial" will introduce you to machine learning in Python. It will also take you through regression and clustering techniques along with a demo on SVM classification on the famous iris dataset.
Topics covered in this video are:
00:00:00 Introduction
00:03:00 Machine Learning Overview
00:09:31 Introduction to Scikit-learn
00:16:48 Installation of Scikit-learn
00:17:10 Regression & Classification
00:18:00 SVM &KNN
00:20:00 Hands-on

Subscribe to our channel to get video updates. Hit the subscribe button above.
Check out our Python Training Playlist: https://goo.gl/Na1p9G

------------------------------------Edureka Online Training and Certification---------------------------------

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

🔵DevOps Engineer Masters Program: https://bit.ly/2B9tZCp
🟣Cloud Architect Masters Program: https://bit.ly/3i9z0eJ
🔵Data Scientist Masters Program: https://bit.ly/2YHaolS
🟣Big Data Architect Masters Program: https://bit.ly/31qrOVv
🔵Machine Learning Engineer Masters Program: https://bit.ly/388NXJi
🟣Business Intelligence Masters Program: https://bit.ly/2BPLtn2
🔵Python Developer Masters Program: https://bit.ly/2Vn7tgb
🟣RPA Developer Masters Program: https://bit.ly/3eHwPNf


---------------------------------------Edureka Post Graduate Courses-------------------------------------------

🔵 Artificial and Machine Learning PGD: https://bit.ly/3AylL0q

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#Python #PythonForDataScience #PythonTutorial #PythonForBeginners #PythonOnlineTraining
#learnmachinelearning #withme
How it Works?
1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!
- - - - - - - - - - - - - - - - -
About the Course

Edureka’s Course on Python helps you gain expertise in various machine learning algorithms such as regression, clustering, decision trees, random forest, Naïve Bayes and Q-Learning. Throughout the Python Certification Course, you’ll be solving real life case studies on Media, Healthcare, Social Media, Aviation, HR.
During our Python Certification Training, our instructors will help you to:

1. Master the basic and advanced concepts of Python
2. Gain insight into the 'Roles' played by a Machine Learning Engineer
3. Automate data analysis using python
4. Gain expertise in machine learning using Python and build a Real Life Machine Learning application
5. Understand the supervised and unsupervised learning and concepts of Scikit-Learn
6. Explain Time Series and it’s related concepts
7. Perform Text Mining and Sentimental analysis
8. Gain expertise to handle business in future, living the present
9. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience

- - - - - - - - - - - - - - - - - - -

For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free).

Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka

Data Analytics
26 Views · 2 years ago

🔥Edureka Python Certification Training: https://www.edureka.co/python-program...
This Edureka Live video on 'Machine Learning Algorithms' will help you understand what is an Algorithm and what is Machine and learn how to solve a problem using ML with Hands-on

Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Series: http://bit.ly/2sqmP4s

🔴Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

-----------------------Edureka Online Training and Certification------------------

🔵 DevOps Online Training: https://bit.ly/2BPwXf0
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#edureka #edurekapython #learnpythonfromscratch #pythonprogramsforpractice #pythonprogramming #pythontutorial #pythonforbeginners #PythonTraining #learnPython #withMe

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How it Works?
1. This is a 5 Week Instructor-led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!

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About the Course

Edureka's Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup.

----------------------------

Why learn Python?

Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better.

----------------------------

Who should go for python?

Edureka’s Data Science certification course in Python is a good fit for the below professionals:

· Programmers, Developers, Technical Leads, Architects

· 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


For more information, Please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll free)

Generative AI
26 Views · 2 years ago

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This Machine Learning tutorial video is ideal for beginners to learn Machine Learning from scratch. By the end of this tutorial video, you will learn why Machine Learning is so important in our lives, what is Machine Learning, the various types of Machine Learning (Supervised, Unsupervised and Reinforcement learning), .

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1. Life without Machine Learning ( 01:06 )
2. Life with Machine Learning ( 02:29 )
3. What is Machine Learning ( 04:35 )
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5. Types of Machine Learning ( 06:14 )
6. Supervised Vs Unsupervised ( 09:32 )
7. The right Machine Learning solutions ( 10:35 )
8. Machine Learning Algorithms ( 13:33 )
9. Use case - Predicting the price of a house using Linear Regression ( 23:24 )

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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➡️ About Post Graduate Program In AI And Machine Learning

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

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Data Analytics
25 Views · 2 years ago

🔥Intellipaat Splunk training: https://intellipaat.com/splunk-training/
In this splunk tutorial for beginners video you will learn introduction to splunk, the various components of splunk, splunk architecture, knowledge objects, configurational files, forwarders in splunk, monitoring inputs, additional knowledge objects, parsing in splunk and troubleshooting methods & tools.
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📝Following topics are covered in this video:
00:00 - Splunk Training
01:04 - Splunk Overview
04:04 - Why Splunk?
06:43 - What is Splunk?
08:00 - Uses of Splunk
11:47 - Splunk Architecture
15:19 - Splunk Components
16:51 - Processing Components
20:16 - Management Components
23:41 - Splunk Administrator
27:30 - Splunk Deployment Plan
40:30 - Features of Nexus Repository
44:39 - Splunk Data Pipeline
51:03 - Splunk Installation
01:00:47 - Splunk License Management
01:02:19 - Types of Licenses
01:05:11 - License Requirements
01:06:00 - Add Licenses
01:08:50 - License Violations
01:11:16 - Identifying Splunk Admin Role
01:13:20 - Splunk Web Basic Navigation
01:20:44 - Enabling the Monitoring Console
01:24:45 - Running Basic Searches
01:32:44 - Learning common searching commands
01:33:53 - Table command
01:36:00 - Rename Command
01:37:50 - Fields Command
01:38:37 - Dedup Command
01:41:40 - Sort Command
01:43:34 - Top Command
01:44:43 - Rare Command
01:45:40 - Stats Command
01:48:24 - Time range of a Search
01:52:21 - Autocomplete & Syntax Highlighting
01:55:15 - Identifying the contents of search results
02:02:00 - How to write better searches
02:04:53 - Know the type of search
02:06:25 - Command Types and parallel Processing
02:09:57 - Tipes for tuning searches
02:14:01 - How Lexicographical order works
02:15:11 - Guidelines for applying lexicographical

Are you looking for something more? Enroll in our splunk Course and become a certified splunk Professional (https://intellipaat.com/splunk-training/). It is a 26 hrs instructor led splunk training provided by Intellipaat which is completely aligned with industry standards and certification bodies.

If you’ve enjoyed this splunk tutorial for beginners , Like us and Subscribe to our channel for more similar splunk videos and free splunk tutorials.
Got any questions about splunk course? Ask us in the comment section below.
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Intellipaat Edge
1. 24*7 Life time Access & Support
2. Flexible Class Schedule
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------------------------------
Why should you watch this Splunk tutorial?

You can learn splunk much faster than any other technology and this splunk tutorial helps you do just that. splunk is one of the best technological advances that is finding increased applications for big data and in a lot of industry domains. We are offering the top splunk tutorial that has been created with extensive inputs from the industry experts so that you can learn splunk and apply it for real world scenarios.

Why Splunk is important?

Splunk is one of the most popular tool use to parse humongous machine-generated data to derive valuable insights from it. Taking the Intellipaat splunk training can help professionals to build a solid career in a rising technology domain and get the best jobs in top organizations.

Why should you opt for a Splunk career?

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For more Information:
Please write us to sales@intellipaat.com, or call us at: +91- 7847955955

Website: https://intellipaat.com/splunk-training/

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Twitter: https://twitter.com/Intellipaat

Generative AI
25 Views · 1 year ago

1 Sugar, Sugar - The Archies
2 Aquarius/Let the Sunshine In - The 5th Dimension
3 I Can't Get Next to You - The Temptations
4 Honky Tonk Women - The Rolling Stones
5 Everyday People - Sly & the Family Stone
6 Dizzy - Tommy Roe
7 Hot Fun in the Summertime - Sly & the Family Stone
8 I'll Never Fall in Love Again - Tom Jones
9 Build Me Up Buttercup - The Foundations
10 Crimson and Clover - Tommy James and the Shondells
11 One - Three Dog Night
12 Crystal Blue Persuasion - Tommy James and the Shondells
13 Hair - The Cowsills
14 Too Busy Thinking About My Baby - Marvin Gaye
15 Love Theme from Romeo and Juliet - Henry Mancini
16 Get Together - The Youngbloods
17 Grazing in the Grass - The Friends of Distinction
18 Suspicious Minds - Elvis Presley
19 Proud Mary - Creedence Clearwater Revival
20 What Does It Take (To Win Your Love) - Jr. Walker & The All Stars
21 It's Your Thing - The Isley Brothers
22 Sweet Caroline - Neil Diamond
23 Jean - Oliver
24 Bad Moon Rising - Creedence Clearwater Revival
25 Get Back - The Beatles with Billy Preston
26 In the Year 2525 - Zager & Evans
27 Spinning Wheel - Blood, Sweat & Tears
28 Baby, I Love You - Andy Kim
29 Going in Circles - The Friends of Distinction
30 Hurt So Bad - The Lettermen




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