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Learn how to easily implement modern designs in your Tkinter-based Python applications using ttkbootstrap.
You will learn how to use all the main ttkbootstrap widgets to make your Tkinter apps look modern and awesome!
✏️ Course developed by @TkinterPython
⭐️ Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:09:07) Labels and Buttons
⌨️ (0:19:59) CheckButtons
⌨️ (0:29:50) Resizing Buttons
⌨️ (0:35:46) Combo Boxes
⌨️ (0:42:52) Entry Boxes
⌨️ (0:48:58) Floodgauge
⌨️ (0:58:29) Date Entry
⌨️ (1:08:37) Frames and Labels
⌨️ (1:14:31) Menu Buttons
⌨️ (1:23:50) Meters
⌨️ (1:37:53) Notebooks
⌨️ (1:44:13) Progress Bars
⌨️ (1:59:24) Radio Buttons
⌨️ (2:10:46) Sliders
⌨️ (2:19:05) Scrollbars
⌨️ (2:24:58) Separators and Sizegrips
⌨️ (2:31:19) Spinboxes
⌨️ (2:39:01) Treeview
⌨️ (2:45:52) Message Boxes
⌨️ (2:57:30) Color Chooser
⌨️ (3:05:52) Scrolled Text
⌨️ (3:12:08) Scrolled Frame
⌨️ (3:17:39) Toast Messages
⌨️ (3:23:14) Conclusion
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This video on "AWS in 5 minutes", will give you a quick insight into What is AWS. In this AWS Tutorial for Beginners video, we'll talk about its history, some of its most popular services, and what a career in the field looks like. All of this in 5 minutes! So without further ado, let's jump right into this AWS Training and start learning AWS(Amazon web services)!
Don't forget to take the quiz at 03:57!
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➡️ About Post Graduate Program In Cloud Computing
This Post Graduate Program in Cloud Computing helps you become an expert in designing, planning, and scaling cloud implementations. Our Cloud Computing course helps you master the core skill sets required to design and deploy dynamically scalable and reliable applications on three popular cloud platform providers: Microsoft Azure, AWS, and GCP.
✅ Key Features
- Caltech CTME Post Graduate Certificate
- Enrolment in Simplilearn’s JobAssist
- Receive up to 30 CEUs from Caltech CTME
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Attend Masterclasses from Caltech CTME instructors
- Live virtual classes led by industry experts, hands-on projects and integrated labs
- Online Convocation by Caltech CTME Program Director
- 40+ Hands-On Projects and Integrated Labs
- Capstone Project in 4 Domains
- Caltech CTME Circle Membership
✅ Skills Covered
- Cloud Provider Selection
- Application Migration
- Performance Testing
- Cloud Workloads
- Identity Access Management
- Autoscaling
- Disaster Recovery
- Web Services and API
- Cloud Migration and Deployment
- Database Management
- MultiCloud Deployment
- Storage Services
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Welcome back to US Military Power Channel, today's episode we will uncover "The US Army's New Super Robo-Dog With Sniper Rifle".
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🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐍𝐋𝐏 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐏𝐲𝐭𝐡𝐨𝐧 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) : https://www.edureka.co/python-....natural-language-pro
This Edureka video on 'Mathematics for Machine Learning' teaches you all the math needed to get started with mastering Machine Learning. It teaches you all the necessary topics and concepts of Linear Algebra, Multivariate Calculus, Statistics, and Probability and also dives into the actual implementation of these topics.
0:00 Introduction
2:42 Why Mathematics in Machine Learning?
5:03 Linear Algebra - Scalars
6:20 Linear Algebra - Vectors
7:14 Linear Algebra - Vector Operations
11:22 Linear Algebra - Matrices
13:48 Linear Algebra - Matrix Operations
20:25 Linear Algebra - Vector as Matrix
22:35 Linear Algebra – Vector as Matrix
26:10 Linear Algebra - Eigen Vectors
27:42 Linear Algebra - Applications
📝Feel free to comment your doubts in the comment section below, and we will be happy to answer📝
-------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧---------
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--------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝗼𝘀𝘁 𝗚𝗿𝗮𝗱𝘂𝗮𝘁𝗲 𝐂𝐨𝐮𝐫𝐬𝐞𝐬--------
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⏩𝐓𝐨𝐩 𝟏𝟎 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟮: https://bit.ly/3yhEs7S
⏩𝐓𝐨𝐩 𝟏𝟎 𝐇𝐢𝐠𝐡𝐞𝐬𝐭 𝐏𝐚𝐲𝐢𝐧𝐠 𝐉𝐨𝐛𝐬 𝐅𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3HcpPG6
⏩𝐓𝐨𝐩 𝟏𝟎 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3FW6F69
⏩𝐓𝐨𝐩 𝟏𝟎 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3gH57mr
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About Course :
About the Natural Language Processing with Python course
Edureka's Natural Language Processing Training focuses on step by step guide to NLP and Text Analytics with extensive hands-on using Python Programming Language. This NLP course has been packed up with a lot of real-life examples, where you can apply the learned content to use. Features such as Semantic Analysis, Text Processing, Sentiment Analytics, and Machine Learning have been discussed as a part of this NLP training. This NLP course is for anyone who works with data and text– with good analytical background and little exposure to Python Programming Language. It is designed to help you understand the important concepts and techniques used in Natural Language Processing using Python Programming Language. You will be able to build your own machine learning model for text classification. Towards the end of this NLP Certification course, we will be discussing various practical use cases of NLP in the python programming language to enhance your learning experience.
🔥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
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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
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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.
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Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information
Database vs Data Warehouse vs Data Lake | Today we take a look at these 3 different ways to store data and the differences between them.
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![Top ChatGPT Applications | ChatGPT for [Writing Code] [Code Debugging] [Content Writing] | Edureka](https://i.ytimg.com/vi/j30FNCfDoQ0/maxresdefault.jpg)
🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐂𝐨𝐮𝐫𝐬𝐞 - 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 𝐭𝐨 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝: https://www.edureka.co/openai-....chatgpt-training-cou
This Edureka video on 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 will talk about multiple use cases where you can use ChatGPT. There are several day to day applications where you can leverage ChatGPT to do the job for you. Below are some important ChatGPT applications covered in this ChatGPT tutorial:
00:00:00 Introduction
00:00:50 ChatGPT for Writing Code
00:02:25 ChatGPT for Code Debugging
00:03:37 ChatGPT for Content Writing
00:05:03 ChatGPT for SEO
00:06:18 ChatGPT for Language Translation
00:07:01 ChatGPT for Writing Legal Documents
00:08:11 ChatGPT for College Assignments
00:08:37 ChatGPT to make Workout Schedule
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📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌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.
🔥Professional Certificate Program in Generative AI and Machine Learning - IITG (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=a0MhvjTtCXk&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Purdue - Ai And Machine Learning Post Graduate Certificate Program - https://www.simplilearn.com/applied-ai-course?utm_campaign=a0MhvjTtCXk&utm_medium=DescriptionFirstFold&utm_source=Youtube
In this video on chatgpt for developers unlock the potential of ChatGPT for your projects with this concise video guide. Learn the fundamentals, explore practical examples, and integrate AI seamlessly into your applications. Whether you're a novice or an expert, this tutorial will help you harness the power of ChatGPT to create dynamic and engaging user experiences.
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#aiml #chatgpt #developers #machinelearning #ArtificialIntelligence #certification #courses #2024 #simplilearn
⏩ Check out More AI Videos By Simplilearn: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULyr_
➡️ 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=25Apr2024ChatGPTForDevelopers&utm_medium=Description&utm_source=youtube
🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688
When you don't always have the same amount of data, like when translating different sentences from one language to another, or making stock market predictions from different companies, Recurrent Neural Networks come to the rescue. In this StatQuest, we'll show you how Recurrent Neural Networks work, one step at a time, and then we'll show you their critical flaw that will lead us to understanding Long Short-Term Memory Networks.
English
This video has been dubbed using an artificial voice via https://aloud.area120.google.com to increase accessibility. You can change the audio track language in the Settings menu.
Spanish
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Portuguese
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For a complete index of all the StatQuest videos, check out...
https://app.learney.me/maps/StatQuest
...or...
https://statquest.org/video-index/
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
...a cool StatQuest t-shirt or sweatshirt:
https://shop.spreadshirt.com/s....tatquest-with-josh-s
...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest
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
4:13 Basic anatomy of a recurrent neural network
5:59 Running data through a recurrent neural network
10:31 Shared weights and biases
11:23 The vanishing/exploding gradient problem.
#StatQuest #NeuralNetworks #Deeplearning #DubbedWithAloud
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#MachineLearningInterviewQuestions #MLInterviewQuestions #MLInterviewPreparation #MachineLearningEngineerInterviewQuestions #MachineLearningInterview #MachineLearningInterviewQuestionsForFreshers #Intellipaat
This video, Top 30 Machine Learning Interview Questions 2025, brings you the most frequently asked questions and detailed answers to ace your next job interview. Whether you're a fresher or an experienced professional, these machine learning interview questions are designed to help you prepare effectively for roles like Machine Learning Engineer, Data Scientist, or AI Specialist.
Discover insights into key ML concepts, algorithms, and problem-solving techniques that hiring managers value. Learn about important machine learning interview questions and their answers. With this ML interview questions and answers for experienced and freshers guide, become confident in answering questions about various machine learning concepts. Look into the critical questions around concepts such as supervised and unsupervised learning, feature selection, model evaluation, and advanced ML techniques. Don't miss this video, because this is going to enhance your understanding of machine learning and going to help you crack your dream job. Watch now and get ready to shine in your ML interviews!
📖Below are the pointers covered in this 'ML Interview Questions and Answers' video:
🥇 00:00:00 - Introduction to Machine Learning Interview Questions
👨💻 ML Interview Questions for Freshers (Basic Level Machine Learning Engineer Interview Questions):
Q1. What is Machine Learning, and why is it important?
Q2. Differentiate between supervised, unsupervised, and reinforcement learning.
Q3. What is a model in machine learning, and how is it used?
Q4. Explain overfitting and underfitting with examples.
Q5. What is a confusion matrix, and how is it used in evaluating models?
Q6. Define cross-validation. Why is it important in model evaluation?
Q7. What is the role of precision and recall in evaluating a model?
Q8. What is the F1 score, and how is it calculated?
Q9. What is the purpose of regularization in machine learning?
Q10. Explain the bias-variance trade-off.
👨💻 Intermediate Level Machine Learning Interview Questions:
Q11. What is feature engineering, and why is it crucial in machine learning?
Q12. Example of when a False positive is more crucial than a false negative and vice versa
Q13. What does naivety stand for in naive Bayes?
Q14. Give an example where the median is a better measure than the mean.
Q15. What are the key differences between bagging and boosting in ensemble methods?
Q16. How does a decision tree work in machine learning?
Q17. What is the principal component analysis (PCA), and when should it be used?
Q18. How does a support vector machine (SVM) classify data?
Q19. What is a dropout in neural networks, and how does it prevent overfitting?
Q20. Differentiate between batch gradient descent and stochastic gradient descent.
👨💻 Advanced Level Machine Learning Interview Questions for Experienced:
Q21. You notice that your model is overfitting on the training data. What steps would you take to address this issue?
Q22. How would you evaluate a model's performance using a Receiver Operating Characteristic (ROC) curve?
Q23. Describe a situation where regularization (L1 or L2) significantly improved your model's performance.
Q24. You are given a dataset with imbalanced classes. How would you handle this during model training?
Q25. Explain GAN.
Q26. Explain CNN.
Q27. Explain how recurrent neural networks (RNNs) are used for time-series data. Provide an example.
Q28. What strategy would you use to tune hyperparameters for a Random Forest or gradient-boosting model?
Q29. Describe a real-world scenario where reinforcement learning could be applied effectively.
Q30. How would you optimize the training of a deep neural network on a large-scale dataset with limited computational resources?
✅ How do I prepare for a machine learning interview?
Preparing for a machine learning interview involves mastering the fundamentals of ML concepts like supervised and unsupervised learning, algorithms, and model evaluation techniques. Work on real-world ML projects to showcase hands-on experience and build a strong portfolio.
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It’s been over a year since I last made a list like this so I decided to give it an update. I also decided to make this an annual list. The top 100 songs that I believe the most people in the world will recognize. I looked at charts, streams, sales, and overall pop culture relevance but at the end of the day, this is all just my opinion (which makes this list even more correct).
No Christmas songs, children’s songs, classical music, or film scores were included as that would take up 90% of the list and make it boring.
Spotify playlist: https://open.spotify.com/playlist/50ozhW6x8mS6r64G4Dru0c?si=5g86KH9nSOmyBnrC8UkbRA&pi=u-G6q8mcW6Sxab
Thumbnail: https://youtube.com/@Queen?si=vQYckgvP5U9G_4_E
Top 100 Most Recognizable Songs of All Time (2024 version)
#music #songs #top100
Karan Aujla - On Top (Official Video)
After huge success of "Sheesha" Karan Aujla Presents Official Video of "ON TOP" New Punjabi Song by Karan Aujla. Music is given by Yeah Proof. Video Directed by Qarn Mallhi.
Song - On Top
Singer/Lyrics/Composer - Karan Aujla
Music - Yeah Proof
Video - Qarn Mallhi
Connect with Karan Aujla:
Subscribe: @KaranAujlaOfficial
Instagram: https://www.instagram.com/karanaujla_official/
TikTok: https://www.tiktok.com/@aslikaranaujla?
Spotify: https://open.spotify.com/artis....t/6DARBhWbfcS9E4yJzc
#karanaujla #ontop
Listen ON TOP on Apple Music - https://music.apple.com/ca/alb....um/on-top-single/165
Listen ON TOP on Spotify - https://open.spotify.com/album..../3F9ZTXMumebU1qkltpE
Listen ON TOP on Amazon Prime Music - https://music.amazon.ca/albums/B0BN12T9QJ
Listen ON TOP on Saavn - https://www.jiosaavn.com/album/on-top/pG54YAE4xFg_
Listen ON TOP on Resso - https://m.resso.com/Zs81GkWxk/
Listen ON TOP on Wynk - https://wynk.in/music/song/on-....top/pc_5059950896060
Digital & Promotions Strategies - LA Music Promotions Co
https://www.instagram.com/lamusicpromotionsco/
Karan Aujla ©
🔥Purdue - Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=mXPHrdvoI4k&utm_medium=Lives&utm_source=Youtube
🔥Professional Certificate Program in Generative AI and Machine Learning - IITG (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=mXPHrdvoI4k&utm_medium=Lives&utm_source=Youtube
🔥Advanced Executive Program In Applied Generative AI - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=mXPHrdvoI4k&utm_medium=Lives&utm_source=Youtube
This ChatGPT Full Course by simplilearn provides a deep dive into AI technologies and applications, starting with the Top 10 AI Technologies and covering essentials like ChatGPT basics, Prompt Engineering, and Generative AI. It explores advanced topics such as ChatGPT 4 vs. ChatGPT 3.5, RAG vs. Prompt Tuning, and Prompt Injection, alongside practical applications like building apps, blogging, and creating Telegram bots with ChatGPT. Discover tools for automating tasks such as Excel, crafting PowerPoint presentations, and using LangChain. Other highlights include tutorials on GANs, OpenAI's Strawberry and Sora, and a guide to earning money with AI innovations like selling eBooks and job preparation in AI fields.
These are the following topics covered in the ChatGPT Full Course
00:00:00 Introduction to ChatGPT Full Course
00:00:41 Top 10 AI Technologies
00:18:08 Introduction to ChatGPT
00:23:19 What is Prompt Engineering
00:24:04 What is Gen AI
00:40:22 How to get Job in AI
00:40:59 ChatGPT 40 vs ChatGPT 4
01:17:07 Chatgpt analyse
01:18:14 Run Lama Privately
01:33:51 Search GPT
01:35:03 Sell Ebooks using ChatGPT
02:01:25 Build App Using ChatGPT
04:07:05 ChatGPT for Programming
04:22:02 Prompt Formulae Chatgpt
05:34:32 Automate Excel using Chatgpt
06:19:09 Generative Adversarial Tutorial
06:20:37 Blogging with ChatGpt
06:47:56 Powerpoint using Chatgpt
06:49:02 Rag Vs Prompt Tuning
07:01:16 Prompt injection
07:53:50 Telegram BOT using ChatGPT
07:54:50 How to Earn Money using ChatGPT
09:09:59 Prompt Engineering Tutorial
09:15:41 Open AI Strawberry Tutorial
09:26:37 Openai sora Tutorial
09:28:52 Langchain Tutorial
09:56:14 Open ai chatgpt o1 model
✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH
⏩ Check out the Artificial Intelligence training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULa5a
#gpt #chatgpt #chatgptforbeginners #chatgptcourse #genai #generativeai #artificialintelligence #ai #machinelearning #llm #simplilearn #2025
➡️ 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, Hugging Face, 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 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
✅ Speech Recognition
✅ Statistics
Learning Path:
✅ Program Induction
✅ Programming Fundamentals
✅ Python for Data Science (IBM)
✅ Applied Data Science with Python
✅ Machine Learning
✅ Deep Learning with TensorFlow (IBM)
✅ Deep Learning Specialization
✅ Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ Advanced Generative AI
✅ Capstone
Electives:
✅ ADL & Computer Vision
✅ NLP and Speech Recognition
✅ Reinforcement Learning
✅ Academic Masterclass
✅ Industry Masterclass
👉 Learn More At: https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=mXPHrdvoI4k&utm_medium=Lives&utm_source=Youtube
CORRECTION: At 10:56 we shouldn't divide by 4 to get the covariance, we should divide by 1+1+1+1/3, which is 10/3. That means the covariances are the following:
Var(x) = 1.056
Var(y) = 0.864
Cov(x,y) = 0.768
(Thank you Shivkumar Pippal!)
Mean, variance, covariance, and the covariance matrix for a dataset and a weighted dataset.
Announcement: Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML
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0:00 Introduction
0:09 The covariance matrix
2:22 Average
3:23 X-variance
5:06 Problem: Same variances
7:59 Formulas
10:30 Center points
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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
In this lecture, we highlight the course logistics and give a brief overview of the course.
