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This video tutorial on probability and statistics gives a basic overview of the chi-square distribution. It explains how to use the chi-square distribution to conduct goodness of fit test to determine whether the null hypothesis should be accepted or rejected.

In this video, we will discuss -
00:00 Research and Null Hypothesis
01:19 Expected and Observed Frequency
01:47 Chi-Square Test
03:56 Example

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To access the slides, click here: https://www.slideshare.net/Sim....plilearn/chi-square-

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#ChiSquareTest #WhatIsChiSquareTest #ChiSquareTestTutorial #ChiSquareTestExplained #ProbabilityAndStatistics #ProbabilityTutorial #StatisticsTutorial #StatisticsBasics #LearnStatistics #Simplilearn

About Simplilearn Data Scientist Program:
This Data Science course, in collaboration with IBM, features exclusive IBM hackathons, masterclass, and Ask-me-anything sessions for the best training experience. This Data Scientist certification training provides hands-on exposure to key technologies including R, Python, Machine Learning, Tableau, Hadoop, and Spark via live interaction with practitioners, practical labs, and industry projects.

Learning Objectives of Simplilearn Data Scientist Program:
Data Scientist is one of the hottest professions. IBM predicts the demand for Data Scientists will rise by 28% by 2020. Simplilearn's Data Science certification course co-developed with IBM encourages you to master skills including statistics, hypothesis testing, data mining, clustering, decision trees, linear and logistic regression, data wrangling, data visualization, regression models, Hadoop, Spark, PROC SQL, SAS Macros, recommendation engine, supervised, and unsupervised learning and more.

Key Features of Simplilearn Data Scientist Program:
✅ Exclusive Hackathons and Live interaction with IBM leadership (Includes live Master Classes and Ask me anything sessions)
✅ 220+ hours of live interactive learning (Live Data Science online classes by industry experts)
✅ Capstone and 15+ real-life Data Science projects (Built on datasets of Amazon, UBER, Comcast)
✅ Simplilearn JobAssist™ (Get noticed by the top hiring companies)

👉Learn more at: https://www.simplilearn.com/big-data-and-analytics/senior-data-scientist-masters-program-training?utm_campaign=ChiSquareTest&utm_medium=Description&utm_source=youtube

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As of the latest data available on the web there are 100 Million users of ChatGPT. Not just 100 Million, its 100 Million and on growing! So hey everyone welcome to the chatgpt tutorial for beginners by Simplilearn. In this video *ChatGPT Tutorial For Beginners* we will discuss what is chatgpt, GPT 4, and working of chatgpt. Moving ahead with the course we will see use of chatgpt in various domain like seo, marketing, and web development, everything explained with handon demo. However, we will share the best tips and tricks of chatgpt.

00:00 ChatGPT Tutorial For Beginners
01:36 Introduction to ChatGPT
11:04 How does ChatGPT work?
What is GPT 4?
15:02 How to use ChatGPT for SEO?
01:06:58 ChatGPT for Marketing
01:17:18 How To Use ChatGPT For Web Development
01:32:57 Can ChatGPT Solve LeetCode Problems?
03:00:32 Top 20 ChatGPT Tips and Tricks
03:17:19 9 Ways to Make Money Online Using ChatGPT
03:41:11 Will ChatGPT and Bard Take Over SEO?

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#ChatGPTExpertCourse #ChatGPT Expert #ChatGPT #ChatGPTForBeginners #ChatGPT #Chat_GPT #ChatGPTTutorial #ChatGPTForBeginners #Simplilearn

➡️ About Caltech Post Graduate Program In AI And Machine Learning

Designed to boost your career as an AI and ML professional, this program showcases Caltech CTME's excellence and IBM's industry prowess. The artificial intelligence course covers key concepts like Statistics, Data Science with Python, Machine Learning, Deep Learning, NLP, and Reinforcement Learning through an interactive learning model with live sessions.

✅ Key Features

- Simplilearn's JobAssist helps you get noticed by top hiring companies
- PGP AI & ML completion certificate from Caltech CTME
- Masterclasses delivered by distinguished Caltech faculty and IBM experts
- Caltech CTME Circle Membership
- Earn up to 22 CEUs from Caltech CTME
- Online convocation by Caltech CTME Program Director
- IBM certificates for IBM courses
- Access to hackathons and Ask Me Anything sessions from IBM
- 25+ hands-on projects from the likes of Twitter, Mercedes Benz, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
- 8X higher interaction in live online classes by industry experts

✅ Skills Covered

- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- Recommendation Systems
- NLP
- Neural Networks
- GANs
- Deep Learning
- Reinforcement Learning
- Speech Recognition
- Ensemble Learning
- Computer Vision

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This Claude Code Tutorial teaches you what I wish I knew as a software developer about Claude Code before I started AI coding. Get started here: https://clau.de/kevinstratvert

You can vibe code with other tools, or you can build durable software with tools like Claude Code. First, I'll walk you through how to install it on Mac or Windows.

Next, you’ll connect Claude Code to VS Code and learn how to build your first app - including how best to structure your prompts and what details are useful for Claude to know.

You'll review Claude's Plan mode like a senior engineer and learn how to work faster once you trust the changes it makes.

Next, you'll learn how to use Claude Code with an existing codebase - focusing on how to get it to analyze your coding standards so future changes are consistent. (Heavy use of CLAUDE.md)

Finally, you’ll execute a major architecture change and learn how best to work with Claude Code throughout the process.

Host: David DeWinter
Sponsor: Anthropic

📚 RESOURCES
Commands and Prompts to Copy ➜ https://drive.google.com/drive..../folders/1ZFRZcOCfep
CLAUDE.md guidance ➜ http://humanlayer.dev/blog/wri....ting-a-good-claude-m
Claude Code Best Practices by Anthropic ➜ https://www.anthropic.com/engi....neering/claude-code-

⌚ TIMESTAMPS
0:00 - Install Claude Code
2:08 - Create New App
7:56 - Existing App
11:48 - Architecture Change
14:31 - Your Next Steps

📩 NEWSLETTER
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#stratvert #claudeai

MIT 6.100L Introduction to CS and Programming using Python, Fall 2022
Instructor: Ana Bell

View the complete course: https://ocw.mit.edu/courses/6-....100l-introduction-to
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

An introduction to what computation is, python basics, mathematical operations, and python variables and types. We explore python objects and python programs.

License: Creative Commons BY-NC-SA
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More courses at https://ocw.mit.edu
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0) Introduction 00:00
1) Visual Recognition with a Fashion Dataset 2:30
2) Pneumonia Detection using CNNs 12:12
3) Using Cycle-GAN for Changing the genre of a music track 21:33
4) Earthquake Forecasting using Deep Learning 31:23
5) Detecting Malaria 40:54
6) A Neural Network for Fundamental Analysis 49:46

Class project presentations by students in the Stat 453: Introduction to Deep Learning class. See the titles and chapter bookmarks below.

(This video replaces a previous upload with the same title where the last talk was accidentally truncated.)

Learn how to build your first AI agent in 10 minutes with no code. This step-by-step beginner tutorial takes you from zero to a fully working AI agent that connects to your real tools and runs on a schedule automatically.
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Learn how to build a real AI agent from scratch using Nexos.ai, with no coding, no servers, and no technical experience required. This tutorial walks you through the full process, from signing up and describing your agent in plain English to connecting your Google Calendar and Gmail, testing your agent, and setting it up to run automatically every morning. Whether you've never touched AI before or you've been curious about agents but didn't know where to start, this video gives you everything you need to get your first one up and running.

What You'll Learn:
✔️ What an AI agent actually is and how it's different from a chatbot
✔️ How to sign up for Nexos.ai and set up your workspace
✔️ How to build an AI agent from scratch using plain English
✔️ How to connect integrations like Google Calendar and Gmail
✔️ How to choose where your agent delivers its results
✔️ How to test your agent and verify it's pulling real data
✔️ How to save your agent and set it to run on a daily schedule
✔️ How to manage, edit, duplicate, or delete your agents
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✔️ How to create projects and chat with any AI model inside Nexos.ai

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⏱️ Timestamps
0:00 Intro
0:31 What is an AI Agent
1:09 Why Nexos.ai
1:53 Nexos.ai Coupon
2:17 Sign Up + Onboarding
3:38 Building Your First Agent
4:54 Connecting Integrations
5:43 Delivery Options
6:41 Testing Your Agent
8:10 Save Your Agent
8:20 Managing Your Agent
8:52 What Else Can You Do?
9:49 Next Steps

📄 Disclosure
Some of the links are affiliate links. If you make a purchase through them, we earn a small commission at no extra cost to you. This helps us keep our videos free for everyone.

🔥Explore more about the Course here: https://www.simplilearn.com/general-management-certification-training-course?utm_campaign=26July2023-Webinar-IIM-Indore-General-Management&utm_medium=Descriptionff&utm_source=youtube
About the Webinar
IIM Indore invites you to join us for a career information session about general management. You’ll see how the Executive Certificate Program in General Management prepares you to advance in your management career in just six months. And you’ll receive an exclusive bonus just for attending the webinar!

What You’ll Find Out
Prof. Manoj Motiani from IIM Indore will share the following:

✅ The critical aspects of succeeding in general management
✅ The skills you will learn to help you move up in management
✅ Benefits of learning with IIM Indore
✅ How the Program Works

We will show you the following:

✅ The online learning platform
✅ The program curriculum
✅ The hands-on projects you’ll do
✅ Exclusive Job Assist Services Help Launch Your Career

You’ll learn how the program’s benefits continue beyond the certificate:

✅ Resume building & interview prep and practice
✅ Premium and confidential job board access
✅ Capstone project to share with employers via your personal portfolio

About the Speaker
Seema Sahay

✅ Career Enhancement Coach and Author

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#Generalmanagementcourse #careerinformationsession #Generalmanagement #Generalmanager #Generalmanagementwebinar #careerinformationwebinar #careerguidance #generalmanagerwebinar #simplilearnGeneralmanagement #simplilearn #2023

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About Executive Certificate Program In General Management:
With IIM Indore's General Management program, you will gain an understanding of domains including Operations, HR, Business Strategy, and digital disruption. Understand the fundamentals of how business works and leverage it to support your organization’s strategy. Move from a functional strategy role to a business strategy role with thorough knowledge of the business environment and the new fundamentals of business strategy with this general management program from IIM Indore.

Key Features
✅ General Management certificate from IIM Indore
✅ IIM Indore Alumni status
✅ 3-day campus immersion at the IIM Indore campus, at additional cost
✅ Live classes from IIM Indore faculty
✅ Capstone projects mentored by IIM Indore faculty
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Learning Path
✅ Induction Session for IIM Indore General Management Program
✅ EC GM - Foundations of Management
✅ EC GM - Economics for Business
✅ EC GM - Accounting and Financial Management
✅ EC GM - Ops & SCM
✅ EC GM - Marketing Management
✅ EC GM - HR
✅ EC GM - Business Analytics
✅ EC GM - Management & Leadership
✅ EC GM - Business Strategy
✅ EC GM - Design Thinking
✅ EC GM - Digital Disruption & Innovation
✅ EC GM - Capstone Project

Skills Covered
✅ General Management
✅ Economics
✅ Accounting
✅ Financial Management
✅ Operations
✅ Supply Chain Management
✅ Marketing
✅ Human Resource Management
✅ Business Analytics
✅ Leadership
✅ Business Strategy
✅ Design Thinking
✅ Digital Disruption
✅ Innovation

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*Note: 1+ Years of Experience Recommended to Sign up for Below Programs ⬇️
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This Data Engineer Full Course video explains What Is Big Data, How to become a Data Engineer, skills required for Data engineering jobs, Big Data applications, introduction to Hadoop, Hadoop ecosystem, Spark, and top Hadoop interview questions. So, let's get started with this Data Tutorial For Beginners!

Below are the topics covered in this video
00:00:00 Data Engineer Crash Course
00:03:44 What is Big Data?
00:07:32 Big Data Tools
00:10:17 Data Engineer Roadmap
00:24:24 Data Engineer Certifications
00:29:03 Top skills for Data Engineer
00:35:03 Reasons to become data engineer
00:41:32 Hadoop Ecosystem
00:58:12 Spark

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#DataEngineerCrashCourse #DataEngineerCourseForBeginners #DataEngineerFullCourse #DataEngineering #DataEngineer #BigData #BigDataHadoop #Hadoop #Simplilearn

✅ About Post Graduate Program In Data Engineering
Fast-track your career as a Data Engineering professional with our Data Engineering course. This course covers Big Data and Data Engineering concepts, the Hadoop ecosystem, Apache Python basics, AWS EMR, Quicksight, Sagemaker, the AWS cloud platform, and Azure services.

✅ Skills Covered
- Real Time Data Processing
- Data Pipelining
- Big Data Analytics
- Data Visualization
- Provisioning data storage services
- Apache Hadoop
- Ingesting Streaming and Batch Data
- Transforming Data
- Implementing Security Requirements
- Data Protection
- Encryption Techniques
- Data Governance and Compliance Controls

✅ Tools Covered
- Amazon EMR
- Amazon RedShift
- MongoDB
- Python
- Apache spark
- Data Bricks
- SQL
- and more...

👉Enroll now: https://www.simplilearn.com/pgp-data-engineering-certification-training-course?utm_campaign=26August2023DataEngineerCrashCourse2023&utm_medium=Description&utm_source=youtube
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Sometimes, a large language model is too much horse, so to speak. For tasks that are smaller in scope and more fine-tuned for a specific task, a small language model, or SLM, might be a better fit. SLMs are cheaper than LLMs, so they're great for smaller businesses or just automation tasks that don't need all the bells and whistles an LLM offers.

🔎 Read more:
SLM defined ➡️ https://www.techtarget.com/wha....tis/definition/small

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#generativeai #llm #smallbusiness #eyeontech

My AI Toolkit: https://academy.jeffsu.org/ai-toolkit?utm_source=youtube&utm_medium=video&utm_campaign=177

Understanding AI Agents doesn't require a technical background. This video breaks down the evolution from basic LLMs like #ChatGPT to AI Workflows and finally to true #AI Agents through practical, real-world examples.

Learn the key differences between these technologies and discover how concepts like RAG and ReAct actually work in simple terms. Perfect for regular AI users who want to understand how these emerging technologies will impact their daily lives.

*TIMESTAMPS*
00:00 AI vs. AI Agents
01:04 Level 1: LLMs
02:17 Level 2: AI Workflows
05:26 Level 3: AI Agents
07:48 Real-world Example
09:10 Summary

*RESOURCES MENTIONED*
Helena Liu's AI Workflow Tutorial: https://youtu.be/H0YRniHh2tg
Andrew Ng's AI Agent Demo: https://youtu.be/KrRD7r7y7NY

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#aiagents

This is my 50 Claude Code tips from 6 months of daily use personally and at Meta as a Staff Software Engineer. I've been coding with Claude Code basically 12 hours a day really trying to understand what makes Claude Code tik. Here's everything I wish I knew when I started, from foundations to advanced parallel workflows.

⏱️ TIMESTAMPS
0:00 - Intro
1:04 - ACT 1: Foundations (Tips 1-25)
1:18 - Tip 1: Run from root directory
1:56 - Tip 2: Run /init immediately
2:54 - Tip 3: CLAUDE.md is hierarchical
3:27 - Tip 4: Keep CLAUDE.md concise
3:58 - Tip 5: Structure: What, Domain, Validation
5:36 - Keyboard Shortcuts
5:58 - Tip 6: Shift+Tab toggles modes
6:40 - Tip 7: Escape interrupts
7:43 - Tip 8: Double Escape clears input
7:59 - Tip 9: Double Escape on empty = rewind
8:29 - Tip 10: Screenshot and drag
8:44 - Tip 11: Add context to screenshots
9:09 - Essential Commands
9:41 - Tip 12: /clear resets context
10:13 - Tip 13: /context shows token usage
11:42 - Tip 14: Let auto-compaction work
12:23 - Tip 15: /model switches models
12:49 - Tip 16: /resume recovers sessions
13:21 - Tip 17: /mcp shows MCP status
14:19 - Tip 18: /help shows all commands
14:33 - Tip 19: Git is your safety net
15:24 - CLAUDE.md Deep Dive
15:52 - Tip 20: Add a Critical Rules section
17:08 - Tip 21: Ask Claude to update rules
17:46 - Tip 22: Use workflow triggers
18:27 - Tip 23: Commit CLAUDE.md to git
19:34 - Tip 24: dangerously-skip for throwaway envs
20:39 - Tip 25: Combine skip with allowlists
20:59 - ACT 2: Daily Workflow (Tips 26-32)
21:38 - Tip 26: Start features in Plan Mode
23:46 - Tip 27: Fresh context beats bloated
24:29 - Tip 28: Persist before ending sessions
25:03 - Tip 29: Lazy load context
26:09 - Tip 30: Give verification commands
27:32 - Tip 31: Consider Opus for complex work
28:18 - Tip 32: Read thinking blocks
29:01 - ACT 3: Power User (Tips 33-40)
29:34 - Tip 33: Four composability primitives
29:54 - Tip 34: Skills = recurring workflows
31:33 - Tip 35: Commands = quick shorthand
32:18 - Tip 36: Never create commands manually
33:02 - Tip 37: MCPs = external service docs
33:52 - Tip 38: Ask Claude to install MCPs
34:15 - Tip 39: Subagents = isolated context
37:10 - Tip 40: Avoid instruction overload
37:48 - ACT 4: Advanced (Tips 41-50)
38:02 - Tip 41: Run multiple instances
39:06 - Tip 42: iTerm split panes
40:33 - Tip 43: Enable notifications
41:10 - Tip 44: Git worktrees for isolation
41:40 - Tip 45: /chrome connects browser
43:17 - Tip 46: Powerful for debugging
43:28 - Hooks & Automation
43:41 - Tip 47: Hooks intercept actions
44:10 - Tip 48: Auto-format with PostToolUse
44:24 - Tip 49: Block dangerous commands
44:43 - Tip 50: Explore the plugin ecosystem
45:32 - Context is King (Outro)

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📺 MORE RELATED VIDEOS

Claude Code Workflows That Will 10x Your Productivity https://youtu.be/yZvDo_n12ns?si=ChHm_yo2d8SONVZ6

Vibe Coding is Making Engineers Worse (Do This Instead)
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A complete crash course on agentic ai using langchain. This is also a course on generative AI. In this video, we will discuss theoratical foundations of generative AI and agentic AI. Langchain will be used for hands on programming. We will then build two projects (1) shopping agent (2) telecom RAG chatbot using langchain, chromadb, llama vision model, Qwen, gemini LLMs, streamlit, sqlite, huggingface and sentence transformers.

Download the resources here: https://codebasics.io/resource....s/agentic-ai-crash-c

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Langgraph tutorial: https://youtu.be/CnXdddeZ4tQ
Customer care support: https://youtu.be/Jekzc6BM5_w
Workflow automation: https://youtu.be/QBI5bmbgL38

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Codebasics AI Pro keeps you ahead of it: weekly tool tests, live build sessions, and AI you can actually apply at work: https://codebasics.io/ai-learning-for-professionals

⭐️ Timestamps ⭐️

0:00:00 Intro

0:01:53 What is Gen AI

0:03:10 Traditional AI

0:05:41 Transformer Architecture

0:11:13 LLM Parameters

0:13:28 LLM Analogy Based Explanation

0:18:41 API Key Setup

0:21:01 Simple LLM call using LangChain

0:41:50 RAG Theory

0:47:52 Vector DB - Hands On

0:53:50 Rag - Hands On

1:02:54 AI Agent Intro

1:03:31 What is an AI Agent

1:10:18 ReAct Loop

1:10:49 AI Agent Hands on

1:21:28 Multi-Agent system

1:21:48 Multi-Model Agent theory

1:23:31 Multi-modal agent – hands on

1:29:28 Evaluation

1:34:07 Guardrails

1:36:41 Project 1 – Shopping Agent

2:06:57 Project 2 – Telecom RAG

2:22:46 No Code Agents

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Как спонтанный порядок возникает из хаоса? Дерек расскажет про явления синхронизации в нашей жизни. На примере с резонансом на новеньком мосту в Лондоне в 2000м году, когда, казалось бы, все проектировщики в курсе про то, как синхронный марш может разрушить мост. Объяснит, как синхронизируются метрономы на подвижной платформе. Как идеально соотносятся периоды вращения спутников вокруг планет на примере Юпитера. Про реакцию Белоусова-Жаботинского, как яркий пример химической автоколебательной реакции. А также как понимание явления синхронизации может помочь при сердечных аритмиях. И что помимо применения редукционизма науке важно научиться объединять составные части явлений и понимать их работу, как единого целого, которая обычно не равна просто сумме его частей.

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In this video, learn how to build your own Small Language Model (SLM) from scratch using Python, PyTorch, and Hugging Face datasets. We’ll walk through every step — from data collection and preprocessing to tokenization, transformer architecture, and model training.

You’ll discover how a compact 10–15 million parameter model can still generate coherent and meaningful text, using concepts inspired by GPT models. This tutorial simplifies complex AI topics like embedding layers, attention mechanisms, loss computation, and next-token prediction — all explained clearly with working code examples.

🔹 Topics Covered:

What are Small Language Models (SLMs)?

Using the TinyStories dataset from Hugging Face

Tokenization with OpenAI’s tiktoken library

Creating .bin training files for efficient processing

Building a Transformer architecture step-by-step

Implementing GPT-like attention blocks

Training configuration and hyperparameter tuning

Generating text from your trained SLM

🎯 Perfect for AI researchers, ML engineers, and enthusiasts who want to understand how GPT-style models actually work under the hood — without requiring massive GPUs or billion-parameter setups.

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