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Excel Tutoring by simplilearn is a cimpleste Excel Full Course 2024 on basic fundamentals of excel. This Excel Tutorial For Beginners by Simplilearn covers the following.

00:00:00 Excel Basic Knowledge
00:05:22 How To Lock(Protect) Cells In Excel
00:23:31 Excel Print Page Setup
00:27:51 Goal Seek In Excel
00:30:20 How To Freeze Row In Excel Tutorial
00:48:20 Charts In Excel
00:51:40 Conditional Formatting In Excel
00:57:24 How to Count Colored Cells in Excel?
01:24:08 Data Validation In Excel
02:04:10 Excel Lookup Tutorial
02:06:22 How to implement Vstack Function In Excel
02:10:47 How To Convert PDF To Excel
02:13:20 Excel Round Off Formula
02:15:47 Combining Data From Multiple Cells In Excel
02:19:13 DateDif In Excel Explained
02:23:08 How To Change Date Format In Excel (dd/mm/yyyy) To (mm/dd/yyyy)
02:26:41 How to Create a Pivot Table Using Multiple Sheets in Excel
02:31:05 Slicers In Excel
03:09:53 Excel Tips And Tricks 2021
03:17:30 SUMIFS Formula in Excel
03:28:36 How to Create Drop Down List In Excel?
03:35:29 Excel Budget Template 2021
03:45:37 Excel MIS Report
04:42:54 Excel Power Query Tutorial For Beginners
05:10:53 Pivot Tables In Excel

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➡️ 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
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- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
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- Resume preparation and LinkedIn profile building
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✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
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- Supervised Learning

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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.

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☑Non-IT Professionals in HR, banking, marketing, sales, etc.
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☑Freshers and Undergraduates can apply for the course

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👉🏼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

📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb

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🌕 Advanced Certification in Cloud Computing: https://intellipaat.com/advanc....ed-certification-clo
🌕 Advanced Certification in Data Science: https://intellipaat.com/advanc....ed-certification-dat
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📚For more information, please write back to us at sales@intellipaat.com or call us at IND: 7847955955 / USA: 1-800-216-8930

🔥AI Engineer Masters Program (Discount Code - YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=24JunUSPriority&utm_medium=DescriptionFF&utm_source=youtube
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This video on Top 10 applications of machine learningwill explain some of the applications of Machine Learning which we come across in everyday life. Machine learning is starting to reshape how we live and it has become a part of our lives. We are already seeing how this technology is being implemented in a wide variety of industries.

Top 10 Certifications for 2021: https://youtu.be/W-9jIVm0-p8

Below are the Top 10 applications of Machine Learningthat were discussed in this video.
00:00 - 00:13 Introduction
00:13 - 00:49 Virtual personal assistants
00:49 - 02:10 Traffic predictions
02:10 - 02:38 Social media personalization
02:38 - 03:11 Email spam filtering
03:11 - 03:48 Online fraud detection
03:48 - 04:05 Stock market trading
04:05 - 05:22 Assistive medical technology

Subscribe to our channel for more Machine Learning Tutorials: https://www.youtube.com/user/S....implilearn?sub_confi

For a more detailed understanding of Applications of Machine Learning, do visit: https://bit.ly/2DEq94U
You will find in-depth content on Machine Learning. Browse further to discover similar resources on related topics, made available to you as a learning path. Enjoy top-quality learning for FREE.

You can also go through the slides here: https://goo.gl/bJMY8a

Watch more videos on Machine Learning: https://www.youtube.com/watch?v=7JhjINPwfYQ&list=PLEiEAq2VkUULYYgj13YHUWmRePqiu8Ddy

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➡️ Professional Certificate Program In AI And Machine Learning
In collaboration with Purdue, our AI and ML Course will help you unlock your AI and ML potential. You'll study Machine Learning, Deep Learning, Computer Vision, NLP, Speech Recognition, and Reinforcement Learning with Simplilearn's AI ML course online.

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- Professional Certificate Program certificate and Alumni Association membership
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- Statistics
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🔥 Edureka Big Data Courses: https://www.edureka.co/big-data-and-analytics
This Edureka video gives you a brief introduction to Big Data and how it is revolutionizing in various domains. In this quick guide, the following topics will be covered:

1. What Is Big Data?
2. Popular Use case of Big Data
3. Career Prospects in Big Data

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

Edureka Community: https://bit.ly/EdurekaCommunity
Instagram: https://www.instagram.com/edureka_learning
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Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Telegram: https://t.me/edurekaupdates
SlideShare: https://www.slideshare.net/EdurekaIN

Become an expert in the exciting new world of Big Data, get trained in cutting edge technologies, and work on real-life industry-grade projects.

----------------------------------------------
Why BIG Data?

The adoption of Big Data is growing across industries, which has resulted in an increased demand for Big Data Engineers. However, the supply is inadequate, leading to a large number of job opportunities. In this environment, professionals with appropriate skills can command higher salaries.

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

PG Program in Big Data Engineering

1. Ranked 2nd among NITs by MHRD
2. Recognized as an Institute of National Importance
3. Ranked among the Top 150 universities in Asia by Times Higher Education World University Rankings

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

Program Features

1. Mentorship from NITR faculty
2. Placement Assistance
3. Alumni Status
4. Industry Networking

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

Industry Projects

1. Retail: Forecasting Trends and Demand
2. Finance/Banking: Predictive Analytics & Fraud Detection
3. Social Media: Sentiment Analysis

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

Mentors & Instructors

Ashok Kumar Turk
Professor | NITR

Bibhudatta Sahoo
Associate Professor | NITR

Korra Sathya Babu
Assistant Professor Grade-I | NITR

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

Is this program for me?

If you’re passionate about Big Data Engineering and want to pursue a career in this field, this program is for you. Whether you’re a fresher or a professional, this program is designed to equip you with the skills you need to rise to the top for a career in Big Data Engineering.


Is there any eligibility criteria for this program?

A potential candidate must have a Bachelor’s Degree preferably in BCA, MCA, and B.Tech.


Will I get any certificate at the end of the course?

Yes, you will receive a Post-Graduate industry-recognized certificate from NIT Rourkela upon the successful completion of the course.


For more information, Please write back to us at sales@edureka.co or call us at IND: +91-9606058418 / US: 18338555775 (toll-free).

Transformer Neural Networks are the heart of pretty much everything exciting in AI right now. ChatGPT, Google Translate and many other cool things, are based on Transformers. This StatQuest cuts through all the hype and shows you how a Transformer works, one-step-at-a time.

NOTE: If you're interested in learning more about Backpropagation, check out these 'Quests:
The Chain Rule: https://youtu.be/wl1myxrtQHQ
Gradient Descent: https://youtu.be/sDv4f4s2SB8
Backpropagation Main Ideas: https://youtu.be/IN2XmBhILt4
Backpropagation Details Part 1: https://youtu.be/iyn2zdALii8
Backpropagation Details Part 2: https://youtu.be/GKZoOHXGcLo

If you're interested in learning more about the SoftMax function, check out:
https://youtu.be/KpKog-L9veg

If you're interested in learning more about Word Embedding, check out: https://youtu.be/viZrOnJclY0

If you'd like to learn more about calculating similarities in the context of neural networks and the Dot Product, check out:
Cosine Similarity: https://youtu.be/e9U0QAFbfLI
Attention: https://youtu.be/PSs6nxngL6k

If you'd like to support StatQuest, please consider...
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channe....l/UCtYLUTtgS3k1Fg4y5

...buying my book, a study guide, a t-shirt or hoodie, or a song from the StatQuest store...
https://statquest.org/statquest-store/

...or just donating to StatQuest!
paypal: https://www.paypal.me/statquest
venmo: @JoshStarmer

Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer

0:00 Awesome song and introduction
1:26 Word Embedding
7:30 Positional Encoding
12:53 Self-Attention
23:37 Encoder and Decoder defined
23:53 Decoder Word Embedding
25:08 Decoder Positional Encoding
25:50 Transformers were designed for parallel computing
27:13 Decoder Self-Attention
27:59 Encoder-Decoder Attention
31:19 Decoding numbers into words
32:23 Decoding the second token
34:13 Extra stuff you can add to a Transformer

#StatQuest #Transformer #ChatGPT

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ASSISTANT DIRECTOR: KARANDEEP SINGH AND SOURAV DHEER
EDIT : SAMUEL MATON
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LINE PRODUCER - MANDEEP HUNDAL

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Enjoy & stay connected with us!
👉 Subscribe to T-Series: https://youtube.com/tseries
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Get the guide to GAI, learn more → https://ibm.biz/BdKTbF
Learn more about the technology → https://ibm.biz/BdKTbX

Join Cedric Clyburn as he explores the differences and use cases of Retrieval Augmented Generation (RAG) and fine-tuning in enhancing large language models. This video covers the strengths, weaknesses, and common applications of both techniques, and provides insights on how to choose between them using machine learning and natural language processing principles

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#AI #LargeLanguageModels #FineTuning #RAG #ReinforcementLearning #MachineLearning #NaturalLanguageProcessing

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This full course on AI agents is segmented into three chapters: foundational understanding of AI agents, hands-on tutorials for building various AI use cases, and strategies for monetization. You’ll gain insights into the anatomy of AI agents, practical steps for creating them using no-code platforms, and real-world applications to seize the growing opportunities in AI.

Timestamps:
0:00 - What We’re Covering
2:39 - Why Learn to Build AI Agents?
5:39 - What Are AI Agents?
6:40 - Chatbot or Agent?
8:44 - Anatomy of an AI Agent
12:34 - The Three Ingredients
13:58 - The Web, APIS, and Tools Explained
17:04 - Anatomy of a Tool
18:40 - Schemas: API Instruction Manuals
23:00 - Advanced Tools Use
26:11 - Conversational or Automated Agents
29:23 - Real-World Applications
32:39 - Foundations Summary
35:00 - What We’re Building
38:34 - Build 1
1:11:12 - Build 2
1:47:44 - Build 3
3:01:29 - Build 4
3:35:29 - The Real Opportunity
3:39:47 - Three Ways to Win
3:41:30 - Extending Your Knowledge Gap
3:45:49 - Getting Your First Clients
3:48:46 - Next Steps

#sponsored Build your first AI agent for free https://botpress.com/?utm_source=youtube&utm_medium=cpc&utm_campaign=aimaster&utm_term=buildchatgptagent

🚀 Become an AI Master – All-in-one AI Learning https://whop.com/c/become-pro/ylqxkdp1c5k
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Want to build AI agents but think you need to code? Wrong. In this video, I show you exactly how to create production-ready AI agents from scratch using three platforms: OpenAI Agent Builder, Botpress, and Zapier AI Agents.

You'll see the full workflow—from blank canvas to live agent—including:
✅ Knowledge base setup with RAG
✅ Real-time testing and deployment
✅ Multi-channel publishing (WhatsApp, Slack, web chat)
✅ Lead collection workflows
✅ Cost comparison and scaling strategies

🎯 WHAT YOU'LL LEARN:
• How to use ChatGPT to write agent prompts for you
• Setting up FAQ bots, customer support agents, and lead collectors
• Connecting knowledge bases (PDFs, websites, Notion)
• Deploying agents across WhatsApp, websites, and messaging platforms
• Why most platforms mark up LLM costs 30-50% (and how to avoid it)
• Which platform fits your use case: internal tools vs customer-facing agents

⚙️ PLATFORMS COVERED:
→ OpenAI Agent Builder: Fast setup, internal tools, shareable links
→ Zapier AI Agents: Automation workflows, trigger-based actions
→ Botpress: Production-grade agents, 190+ integrations, no LLM markup

📂 TIMESTAMPS:

0:00 — Build AI Agents Without Coding
1:09 — How to Build an AI Agent with OpenAI
3:49 — How to Build an AI Agent with Botpress
6:26 — Knowledge Base & RAG System
8:00 — Choosing Your LLM Model
8:41 — Testing & Deployment
9:11 — How to Build an AI Agent with Zapier
12:32 — Lead Collection Workflows in Botpress
15:32 — Deployment Across Channels
17:21 — Why Botpress for Production

🚀 START BUILDING TODAY:
The hardest part isn't building—it's starting. Pick one platform, sign up, and build your first agent this week. Start with a simple FAQ bot or lead collector, test it, deploy it, and scale from there.

💬 Built something cool? Tag me—I want to see it.

🔔 SUBSCRIBE for more AI tool comparisons, agent tutorials, and no-code automation workflows.

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#AIAgents #NoCoding #ChatGPT #Botpress #Zapier #AIAutomation #CustomerSupport

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New Claude Code Update is INSANE! (AI Coding Revolution)

Anthropic just released a massive update to Claude Code Desktop that transforms your computer into an autonomous AI coding machine. Discover how it handles everything from live app previews to automated PR merges while streamlining your entire development workflow. Learn why this update is a game-changer for developers and how to start using it today.

00:00 - Intro: The Massive Claude Update
01:04 - Live App Previews & Auto-Fixing
02:07 - Automated Local Code Reviews
02:47 - CI Failure Handling & Auto-Fix
03:26 - PR Monitoring & Auto-Merge
04:21 - Session Mobility Explained
04:48 - The Future of AI Development
06:59 - How to Get Started with Claude Code

MIT 18.06 Linear Algebra, Spring 2005
Instructor: Gilbert Strang
View the complete course: http://ocw.mit.edu/18-06S05
YouTube Playlist: https://www.youtube.com/playli....st?list=PLE7DDD91010

1. The Geometry of Linear Equations

License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu

This video introduces the fundamentals of protein design and summarizes the trajectory of the course with a focus on (1) the foundational biochemistry that protein structure prediction and design hinge on and (2) deep learning / machine learning principles overview.

Video from the Rosetta Commons PPI Workshop (February 2025)
Video Instructor: Amrita Nallathambi (UNC Chapel Hill)

Credits:
Instructor: Amrita Nallathambi
Teaching Assistants: Yehlin Cho, Cyrus Haas, and Matthew Hvasta,
RC Leadership and NSF Sponsor Grant PIs: Julia Koehler Leman & Jeffrey Gray
RC Education Director: Ashley Vater
Videographer: Canyon Florey
Rosetta Workshop Participants

00:00 - Introduction
00:20 - Deep Learning Revolution for Proteins
01:50 - The Transformer
03:38 - AlphaFold2 Overview
06:22 - AlphaFold2 Inputs
09:48 - AlphaFold2 Outputs
13:29 - Graph Neural Networks
16:24 - ProteinMPNN Loss
17:35 - Diffusion models
18:30 - RFDiffusion
19:52 - Inputs and Outputs
20:43 - Potentials