Ilya Sutskever, one of the leading AI scientists behind ChatGPT, reflects on his founding vision and values. In conversations with the film-maker Tonje Hessen Schei as he was developing the chat language model between 2016 and 2019, he describes his personal philosophy and makes startling predictions for a technology already shaping our world. Reflecting on his ideas today, amid a global debate over safety and regulation, we consider the opportunities as well as the consequences of AI technology. Ilya discusses his ultimate goal of artificial general intelligence (AGI), ‘a computer system that can do any job or task that a human does, but better’, and questions whether the AGI arms race will be good or bad for humanity.

These filmed interviews with Ilya Sutskever are part of a feature-length documentary on artificial intelligence, called iHuman

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This Edureka video on "Data Blending in Tableau" talks about a method for combining data when there is related data in multiple data sources, which you want to analyze together in a single view. Tableau has two inbuilt data sources named Sample-superstore and Sample coffee chain.mdb which will be used to illustrate data blending.
We shall discuss the following topics:
00:00:00 Introduction
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00:03:53 Introduction to Data Blending
00:04:12 Joining vs Blending
00:07:12 Blending in Tableau
00:10:13 Limitations of Data Blending

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This is a video about how Japanese samurai swords, aka katanas, are made – from the gathering of the iron sand, to the smelting of the steel, to the forging of the blade. Head over to https://hensonshaving.com/veritasium and enter code 'Veritasium' for 100 free blades with the purchase of a razor. Make sure to add both the razor and the blades to your cart for the code to take effect.

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A massive thank you to John McBride for making this entire project happen. This would not have been possible without John. Please check out his japan walking tours https://walkjapan.com/
Massive thanks to Craig Mod, Inoue-san, everyone in the Tanabe family, and Takanashi-san. Also a massive thank you to Kevin Cashen – https://cashenblades.com/

▀▀▀
References:
Tanii, H., Inazumi, T., & Terashima, K. (2014). Mineralogical study of iron sand with different metallurgical characteristic to smelting with use of Japanese classic iron-making furnace “Tatara”. ISIJ international, 54(5), 1044-1050.

Tate, M. (2005). History of Iron and Steel Making Technology in Japan Mainly on the smelting of iron sand by Tatara. Tetsu-to-Hagane, 91(1), 2-10.

Krauss, G. (1999). Martensite in steel: strength and structure. Materials science and engineering: A, 273, 40-57.

Krauss, G., & Marder, A. R. (1971). The morphology of martensite in iron alloys. Metallurgical Transactions, 2, 2343-2357.

Yalçın, Ü. (1999). Early iron metallurgy in Anatolia. Anatolian Studies, 49, 177-187.

Kapp, L., Kapp, H., & Yoshihara, Y. (1987). The craft of the Japanese sword. Kodansha International.

Matsumoto, C., Das, A. K., Ohba, T., Morito, S., Hayashi, T., & Takami, G. (2013). Characteristics of Japanese sword produced from tatara steel. Journal of Alloys and Compounds, 577, S673-S677.

Inoue, T. (2010). Tatara and the Japanese sword: the science and technology. Acta Mechanica, 214(1), 17-30.


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00:02:50 - What is Artificial Intelligence
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03:31:33 - Introduction to TensorFlow
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09:09:16 - Problem With a Fully Connected Network
09:19:23 - Convolutional Neural Network
10:42:25 - Rectified Linear Units
11:16:04 - Artificial Intelligence Interview Questions

✅ How can I learn a full Artificial Intelligence Course?
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This Decision Tree in the Machine Learning tutorial will help you understand all the basics of the Decision Tree and how the Decision Tree algorithm works. In the end, we will implement a Decision Tree algorithm in Python on loan payment prediction. This Decision Tree tutorial is ideal for both beginners as well as professionals who want to learn Machine Learning Algorithms.

Below topics are covered in this Decision Tree Algorithm Tutorial:
0. Intro (0:00)
1. What is Machine Learning? ( 02:25 )
2. Types of Machine Learning? ( 03:27 )
3. Problems in Machine Learning ( 04:43 )
4. What is a Decision Tree? ( 06:29 )
5. What are the problems a Decision Tree Solves? ( 07:11 )
6. Advantages of Decision Tree ( 07:54 )
7. How does Decision Tree Work? ( 10:55 )
8. Use Case - Loan Repayment Prediction ( 14:32 )

Dataset Link - https://drive.google.com/drive..../folders/1JybOOdRsMY

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What is a Decision Tree Algorithm?
A Decision Tree is a supervised machine learning algorithm for solving classification problems. Generally, a decision tree is drawn upside down with its root at the top and it is known as the Top-Down Approach. Decision trees are used for handling non-linear data sets effectively. The decision tree tool is used in real life in many areas, such as engineering, civil planning, law, and business.

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🔥Edureka Machine Learning Certification Training: https://www.edureka.co/machine....-learning-certificat
This Edureka video on 'Data Exploration - Extract, Transform, Load' is the third class in the Python Machine Learning Series which gives a brief introduction to how we can explore the data starting from extraction and leading up to loading the data in a program.

🟠 𝐂𝐥𝐚𝐬𝐬 𝐒𝐜𝐡𝐞𝐝𝐮𝐥𝐞 🟠

[𝗦𝗮𝘁𝘂𝗿𝗱𝗮𝘆 - 𝟭𝟱𝘁𝗵 𝗔𝘂𝗴𝘂𝘀𝘁]
Class 1 - Introduction To Machine Learning
Class 2 - Statistics For Machine Learning
Class 3 - Data Exploration 1 - ETL
Class 4 - Data Exploration 2 - Visualization
Class 5 - Data Exploration 3 - Data Cleaning
[𝐒𝐮𝐧𝐝𝐚𝐲 - 𝟏𝟔𝐭𝐡 𝐀𝐮𝐠𝐮𝐬𝐭]
Class 6 - Data Modeling 1 - Feature Engineering
Class 7 - Data Modeling 2 - Training The Model
Class 8 - Data Modeling 3 - Model Evaluation
Class 9 - Machine Learning Example
Class 10 - Advanced Machine Learning

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--------------------------
How it Works?

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. Machine Learning training will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in the python programming language and many more.
--------------------------
Why Learn Machine Learning using Python?

Data Science is a set of techniques that enables computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms.
--------------------------
Who should go for this Machine Learning Certification Training using Python?
- 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 [email protected] or call us at IND: 9606058406 / US: 18338555775

🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐌𝐚𝐬𝐭𝐞𝐫 𝐏𝐫𝐨𝐠𝐫𝐚𝐦: https://www.edureka.co/masters....-program/machine-lea (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka session on Machine Learning with Tree-Based Models in Python will help you understand the Bagging & Boosting concepts in detail.
📝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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🔵 Artificial and Machine Learning PGD with E & ICT Academy
NIT Warangal: https://bit.ly/3Kji6bb
🌕 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3uoajDH

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟐 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩𝐓𝐨𝐩 𝟏𝟎 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟮: https://bit.ly/3yhEs7S
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About the Machine Learning with Python Training
Edureka’s Machine Learning Certification Training using Python is designed to make you grab the concepts of Machine Learning. This Machine Learning Certification will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in the python programming language. Furthermore, in this Machine Learning with Python Training, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real-life scenarios using Machine Learning Algorithms. Towards the end of this Machine Learning online course, we will be discussing various practical use cases of Machine Learning with Python programming language to enhance your learning experience. Edureka offers the best Machine Learning Training online for those who want to be the best in Python. Enroll now with Edureka's online Machine Learning Certification to get trained with industrial experts.

What are the pre-requisites for this Machine Learning Certification Training ?
The pre-requisites for the Machine Learning Training include development experience with Python. Fundamentals of Data Analysis practiced over any of the data analysis tools like SAS/R will be a plus. However, Python would be more advantageous. You will be provided with complimentary “Python Statistics for Data Science Course” as a self-paced course once you enroll in the Machine Learning online course.

🔥Edureka Tensorflow Training: https://www.edureka.co/ai-deep....-learning-with-tenso
This Edureka LSTM Explained video will help you in understanding why we need Recurrent Neural Networks (RNN) and what exactly it is. It also explains few issues with training a Recurrent Neural Network and how to overcome those challenges using LSTMs.

🔹Check our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE
🔹Check our complete Deep Learning With TensorFlow Blog Series: http://bit.ly/2sqmP4s

00:00:00 Agenda
00:02:37 What is Natural Language Processing
00:04:00 Ways to Process Text Data
00:05:46 Recurrent Neural Networks
00:12:26 Long short term Memory
00:17:06 Long short term memory use cases
00:18:06 Real time applications of LSTM
00:18:09 Name Entity Recognition
00:20:45 Sentiment Analysis
00:22:40 Machine Translation
00:24:32 Hands-on

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#Edureka #DeepLearningEdureka #LSTMExplained #NeuralNetworks #DeepLearningTraining #DeepearningTutorial #EdurekaTraining

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

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


How it Works?

1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
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 have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!

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

About the Course
Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.

Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.


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

Who should go for this course?

The following professionals can go for this course:

1. Developers aspiring to be a 'Data Scientist'

2. Analytics Managers who are leading a team of analysts

3. Business Analysts who want to understand Deep Learning (ML) Techniques

4. Information Architects who want to gain expertise in Predictive Analytics

5. Professionals who want to captivate and analyze Big Data

6. Analysts wanting to understand Data Science methodologies

However, Deep learning is not just focused to one particular industry or skill set, it can be used by anyone to enhance their portfolio.

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

Why Learn Deep Learning With TensorFlow?
TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.


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

Facebook: https://www.facebook.com/edurekaIN/
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In this Automate WhatsApp With ChatGPT Tutorial, we will ask ChatGPT to provide code to send messages to our contacts. This ChatGPT on WhatsApp tutorial, will start with executing the code provided by ChatGPT using pywhatkit library. Using pywhatkit library, we can schedule the delivery of messages to particular chats.

Here we start with:
00:00 Introduction to Automate WhatsApp With ChatGPT
00:36 Quiz Question
01:17 Create folder for Python Project
02:22 Ask ChatGPT to write code
04:09 Install and Import libraries
05:41 Edit the code given by ChatGPT
14:06 Sending the automate message

✅PyWhatKit is a Python library with various helpful features. It's easy-to-use and does not require you to do any additional setup. Currently, it is one of the most popular library for WhatsApp and YouTube automation. New updates are released frequently with new features and bug fixes.

✅PyWhatKit is available on PyPi: To install use the command pip3 install pywhatkit

✅Features of PyWhatKit
Sending Message to a WhatsApp Group or Contact
Sending Image to a WhatsApp Group or Contact
Converting an Image to ASCII Art
Converting a String to Handwriting
Playing YouTube Videos
Sending Mails with HTML Code
Install and Use

#ChatGPT #AutomateWhatsapp #WhatsAppAutomation #PyWhatKit #AutomationTutorial #ChatGPTAutomation #AutomationUsingChatGPT #ChatGPTTutorial #ChatGPTPython #PythonTutorial #Python #PythonForBeginners #AI #Simplilearn

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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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MIT Introduction to Deep Learning 6.S191: Lecture 2
Recurrent Neural Networks
Lecturer: Ava Amini
** New 2024 Edition **

For all lectures, slides, and lab materials: http://introtodeeplearning.com

Lecture Outline
0:00​ - Introduction
3:42​ - Sequence modeling
5:30​ - Neurons with recurrence
12:20 - Recurrent neural networks
14:08 - RNN intuition
17:14​ - Unfolding RNNs
19:54 - RNNs from scratch
22:41 - Design criteria for sequential modeling
24:24 - Word prediction example
31:50​ - Backpropagation through time
33:40 - Gradient issues
37:15​ - Long short term memory (LSTM)
40:00​ - RNN applications
44:00- Attention fundamentals
46:46 - Intuition of attention
49:13 - Attention and search relationship
51:22 - Learning attention with neural networks
57:45 - Scaling attention and applications
1:00:08 - Summary
Subscribe to stay up to date with new deep learning lectures at MIT, or follow us @MITDeepLearning on Twitter and Instagram to stay fully-connected!!

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐰𝐢𝐭𝐡 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞 : https://www.edureka.co/data-sc....ience-python-certifi (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka Data Science course video (Data Science Blog Series: https://goo.gl/yGjZfs) will take you through the need of data science, what is data science, data science use cases for business, BI vs data science, data analytics tools, data science lifecycle along with a demo. This Data Science tutorial video is ideal for beginners to learn data science and machine learning basics. You can read the blog here: https://goo.gl/lYb5Lb

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For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US & Others: +18885487823 (toll-free)

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🔥Full Stack Developer - MERN Stack Program (Discount Code - YTBE15) - https://www.simplilearn.com/full-stack-developer-course-mern-certification-training?utm_campaign=6ijqF3lPwIE&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Caltech - Post Graduate Program in Full Stack Web Development - https://www.simplilearn.com/pgp-full-stack-web-development-certification-training-course?utm_campaign=6ijqF3lPwIE&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Caltech Coding Bootcamp (US Only) - https://www.simplilearn.com/coding-bootcamp?utm_campaign=6ijqF3lPwIE&utm_medium=DescriptionFirstFold&utm_source=Youtube

This Web Development Full Course by simplilearn helps you master web development basics. the course begins with an Introduction to Web Development, exploring its future scope and importance. Learn the Basics of Web Development and follow a structured Web Development Roadmap to build strong foundational skills. Discover the Top 10 Certifications for Web Development to boost your career. Master Top Technologies for Web Development and explore AI Coding Tools like Cursor AI to enhance productivity. Gain insights into the Top 5 Hackathons in India for practical exposure and work on Top 10 Web Development Projects to strengthen your portfolio. Learn how to Build Websites with AI and use Generative AI Tools for Job Interviews. Finally, prepare for success with tips on Getting Internships and common Web Development Interview Questions.

The following are topics covered in the Web developement Full Course by simplilearn.

00:00:00 Introduction to Web Development
00:13:04 What is web development and its Scope
00:22:49 Top 10 certifications for 2025
00:36:32 Web development roadmap
00:48:36 Best AI Coding tools for Web Development
00:58:14 Top to learn technologies to learn for Web Development
01:06:28 Top 5 Hackathons in india
09:19:25 Web Development Basics
11:37:30 Top 10 Web development projects
11:54:52 How to get Internships
12:00:01 Gen ai tools for job interview
12:25:42 Build Website with AI
12:27:24 Cursor AI
13:43:09 Web Development Interview Questions

What is meant by web development?
What Is Web Development & How Does It Work? | WebFX
Web development is the process of building, programming, and maintaining websites and web applications. Website developers use various programming languages, like HTML, CSS, and JavaScript, to develop websites and web applications. Keep Reading Learn More About Web Design and Development.

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#webdevelopment #webdevelopmentcourse #webdeveloper #webdevelopmenttutorial #html #css #javascript #mongodb #nodejs #reactjs #angularjs #expressjs #simplilearn #2024

➡️ About Full Stack Developer Course

Gain skill with full stack developer course to design, build, and scale frontend and backend systems. Gain exposure over 10+ tools/frameworks, 6+ real-world projects via an immersive learning approach led by live virtual classes, access to integrated labs and JobAssist services.

Key Features:
✅ 40+ micro skilling exercises & 6+ work-like professional projects
✅ Develop expertise in 10+ full stack development tools and frameworks
✅ Fast-track your learning with the help of AI coding assistant tools
✅ Experience hands-on learning through our course-end projects and capstone projects
✅ Leverage the advanced capabilities of OpenAI's APIs to enhance your projects
✅ Build a robust Git portfolio to showcase your proficiency in building dynamic web applications
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered:
✅ Full Stack Development
✅ Web Development
✅ Backend Development
✅ Database Management
✅ Server Side Development
✅ Version Control and Collaboration
✅ Cloud Deployment and DevOps
✅ Testing and Quality Assurance
✅ Agile Development
✅ Project Management
✅ RESTful API Design
✅ Open AI APIs

Learning Path:
✅ Induction for Full Stack Web Developer - MERN Stack
✅ Build a strong MERN Foundation
✅ Design a Dynamic Frontend with React
✅ Data Structures and Algorithms
✅ Develop a Reliable Backend with Node and Express
✅ Full Stack Development Capstone Project
Electives:
✅ IBM - Reactive Architecture: Reactive Microservices

👉 Learn More At: https://www.simplilearn.com/full-stack-developer-course-mern-certification-training?utm_campaign=6ijqF3lPwIE&utm_medium=Description&utm_source=Youtube

New Year Music Mix 2025 ♫ Best Music 2024 Party Mix ♫ Remixes of Popular Songs

🎄 Listen on Spotify:
https://sndl.ink/soundlink/OgVZZ6FXvm2T2dRYOSFRM

🎄 Immerse yourself in the joyful and spirited atmosphere of Christmas as we present a carefully curated selection of the best Christmas songs from various eras.

"We Wish You A Merry Christmas" and other timeless classics come together to create a harmonious blend of holiday cheer. Whether you're preparing for a festive gathering, decorating your home, or simply enjoying the magic of Christmas, our playlist is designed to add the perfect musical touch to your celebrations.

🎅 Experience the magic of the season with melodies that have stood the test of time and continue to bring joy to hearts around the world. From traditional carols to contemporary hits, our compilation captures the essence of Christmas, making it a memorable and heartwarming experience for everyone.

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👉 Merry Christmas to all the music lovers. This playlist is perfect for setting the mood for the holiday season and includes all the Christmas songs you know and love. Enjoy!
May the magic of Christmas fill your heart with warmth and love. Merry Christmas!
👉 Follow me:

💌 Contact:
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#christianmusic #merrychristmas #christmasmedley #christmassongs #feliznavidad

🔥Purdue - Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=X1rw_iHzxtk&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=X1rw_iHzxtk&utm_medium=Lives&utm_source=Youtube
🔥Advanced Executive Program In Applied Generative AI - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=X1rw_iHzxtk&utm_medium=Lives&utm_source=Youtube

This Generative AI Full Course 2025 by Simplilearn provides a structured learning path, starting with the fundamentals of Generative AI and a detailed roadmap to mastering it. Learners explore top AI technologies, including DeepSeek R1, Deep Learning, and Search GPT, followed by essential tools like LangChain. The course dives into Generative Adversarial Networks (GANs), Transformers, and Long Short-Term Memory (LSTM) networks, forming the foundation of modern AI models. It then introduces Large Language Models (LLMs), Machine Learning concepts, and Reinforcement Learning, leading into practical applications like ChatGPT analysis and OpenAI Sora. Advanced topics include LLM benchmarking, Hugging Face tutorials, and OpenAI's ChatGPT O1 model. Practical insights into Generative AI tools for job interviews, Agentic AI, and AI monetization strategies help learners stay ahead in the field. The course concludes with a look at Google Quantum AI and Machine Learning interview preparation, ensuring a strong grasp of both theoretical and applied AI concepts.

Following are the topics covered in the Generative AI Full Course 2025:

00:00:00 - Introduction to Gen AI Full Course 2025
00:00:45 - What is Gen AI
00:11:24 - Roadmap Gen AI
01:16:27 - What is Machine Learning
01:23:26 - Deep Learning
01:24:50 - Introduction to LLM
01:47:32 - What are Gen AI Agents
02:24:34 - Agentic AI
03:21:06 - Machine Learning Tutorial
05:26:29 - Reinforcement Learning
05:42:34 - Deepseek r1
05:53:47 - Install Deepseek
06:44:30 - Hugging Face and its tutorial
06:52:47 - Search GPT
06:55:02 - Langchain
07:51:37 - Generative Adversarial Tutorial
09:21:57 - Introduction to agentic workflow
09:31:19 - What are Gans
09:32:20 - Transformers in AI
09:44:49 - LSTM
10:04:40 - CHatgpt analyse
10:15:36 - Openai sora
10:24:29 - LLM Benchmarkeing
10:39:53 - Open ai chatgpt o1 model
10:48:16 - Google Quantam AI
10:53:49 - Majorana
10:58:58 - Gen ai tools for job interview
12:59:19 - Deep learning Interview questions
13:05:13 - Claude 3 sonnet

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#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.

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

👉 Learn More At: https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=X1rw_iHzxtk&utm_medium=Lives&utm_source=Youtube

🔥CISM Certification: Certified Information Security Manager - https://www.simplilearn.com/cyber-security/cism-certification-training?utm_campaign=6WXVkGX4K24&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Professional Certificate Program in Cybersecurity- Red Team (India Only) - https://www.simplilearn.com/vapt-vulnerability-assessment-penetration-testing-certification?utm_campaign=6WXVkGX4K24&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IIITB - Advanced Executive Program in Cybersecurity (India Only) - https://www.simplilearn.com/pgp-advanced-executive-program-in-cyber-security?utm_campaign=6WXVkGX4K24&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Purdue - Professional Certificate Program in Cybersecurity - https://www.simplilearn.com/cybersecurity-program-online?utm_campaign=6WXVkGX4K24&utm_medium=DescriptionFirstFold&utm_source=Youtube

The Penetration Testing Full Course by Simplilearn covers essential topics in cybersecurity and ethical hacking. It starts with a cybersecurity tutorial for beginners, followed by an overview of ethical hacking and penetration testing basics. The course explores cybersecurity career roadmaps, salaries for penetration testers, and top cybersecurity certifications. Learners can discover hacking gadgets, phishing attacks, and Wireshark tutorials for network analysis. The course also introduces EthicalHacker GPT and highlights common cybersecurity mistakes and interview questions for aspiring professionals.

The following are the topics covered in the Penetration Testing Full Course:

00:00:00 Introduction to Penetration Testing Full Course
00:14:24 Cyber Security Tutorial For Beginners
00:22:19 What is Ethical Hacking
00:36:13 Top 5 Cybersecurity Certifications
01:01:34 Penetration Testing Tutorial for beginners
01:14:06 Cybersecurity Engineer roadmap
01:21:24 Penetration Tester Salary
03:56:50 Ethical Hacking Tutorial For Beginners
03:57:33 Top 7 Dangerous Hacking Gadgets
04:16:01 Phishing Attacks
04:33:30 EthicalHacker GPT
Toughest Cybersecurity Certifications
Common Cybersecurity Mistakes
Wireshark tutorial for beginners
Cyber security Interview Questions

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⏩ Check out the Cyber Security training videos: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU

#ethicalhacking #cybersecurity #cybersecuritycertification #cybersecuritytutorial #simplilearn #2025

What Is Penetration Testing in Cyber Security?
Penetration testing is a controlled form of hacking into a web application or a mobile application, cyber security experts use ethical hacking techniques to find the flaws and then try to fix weaknesses. The results of a penetration test can be used to improve a system's security posture and patch vulnerabilities.

➡️ About Cyber Security Expert Masters Program
This cybersecurity expert program readies individuals for CEH, CompTIA Security+, and CISSP certifications, offering a holistic defense strategy against dynamic cyber threats. CEH emphasizes ethical hacking, CompTIA focuses on foundational security concepts, and CISSP covers advanced principles and management.

✅ Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Get Lifetime access to self-paced videos
- CEH Exam Voucher with 6 months of complimentary iLabs access
- Live Classes by Accredited instructors
- Earn the requisite 30 CPEs required to take up the CISSP certification exam.
- Simulation tests focused on exam preparation

✅ Skills Covered
- Network Security
- Risk Management
- Network Packet Analysis
- Asset Security
- Disaster Recovery
- Encryption
- System Hacking
- Malware Threats
- Planning and Monitoring
- Identity and Access Management
- Forensics
- Cryptography
- System Penetration Testing
- Incident Management
- Pen Testing
- Vulnerability Analysis
- Software Development Security

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

Build Your First AI Agent In 15 Minutes (No Coding). Join our FREE community with all our prompts: https://www.skool.com/ai-launchpad/about

Chatling (FREE Trial): https://chatling.ai/

Chapters:
0:00 - Intro
1:47 - Setup Chatling
2:45 - Configure your agent
5:00 - Add knowledge base + data sources
6:49 - Configure actions
11:28 - Testing in playground
13:40 - Deploy to website
15:55 - Deploy to instagram
17:16 - Outro


For business inquiries including sponsorships and collaborations, please email:
[email protected]

⚡Build Your AI Agency & Land Your First Client⚡
https://www.skool.com/chase-ai

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Ever wanted to build your own web application but felt stopped by a lack of coding knowledge? This video is your ultimate starting guide. I'll show you how to use Claude Code, a powerful AI assistant that can write, plan, and execute code based on your plain English instructions. This tutorial is designed specifically for non-coders and absolute beginners, meaning we start from the very beginning with zero assumptions about your technical skills.

We'll walk through every single step together to get you up and running. You'll learn how to set up your complete development environment, including installing Node.js and Cursor. From there, we dive into the core mechanics of Claude Code, mastering the essential slash commands, building agents, and learning the workflow to turn your ideas into functional applications.

The best way to learn is by doing, so we'll build a real-world project: a complete front-end for an AI-powered chatbot. But we won't stop there. To make sure you have something real to show for your efforts, I'll guide you through the process of deploying your new application to the internet using GitHub and Vercel. By the end of this video, you won't just understand Claude Code—you'll have a live, shareable project on your very own domain.

TIMESTAMPS:
0:00 Intro
4:37 Installing Claude Code
5:51 Claude Code Basics
9:16 Building Our Frontend
11:20 Cursor AI
13:27 Local Testing
15:12 Claude Code Agents
18:46 n8n Integration
26:33 GitHub and Vercel Setup
29:04 Preparing for Prod
34:00 Troubleshooting the Deployment
37:24 The Mindset


RESOURCES FROM THIS VIDEO:
➡️ Get started with n8n: https://n8n.partnerlinks.io/bfumg8i8y8nc
➡️ Learn More About AI Agents: https://www.skool.com/chase-ai
➡️ My Website: https://www.chaseai.io

#ClaudeCode #AICoding #CodingForBeginners #NonCoders #AI #nocode #n8n #automation

Course details: https://stanford.io/4qjWTCk

Think back to the first time you had to tell a direct report their work wasn’t good enough, or persuade your supervisor to change course. For most new managers, those difficult conversations might not have gone as planned. But research shows these early moments can shape the trajectory of your entire career. The good news is you don’t have to wait for the next high-stakes conversation to get it right.

In this course, Stanford faculty combine decades of research with the emergent superpowers of generative AI to give you a “practice field” for leadership. You will rehearse critical conversations in a low-stakes environment and gain the skills and confidence to lead with authority and empathy.

You will learn to:
- Craft clear, respectful communication strategies that shift outcomes
- Give and receive constructive feedback that accelerates growth

Using generative AI, you will role-play high-pressure situations such as confronting difficult team members, motivating diverse talent, or disagreeing with your manager. Each practice round gives you structured, real-time feedback on tone, presence, and empathy so you can iterate and improve.

The course begins with three preset scenarios drawn from the experiences of Stanford alumni.

For each, you will:
- Observe: Hear how young leaders confronted real challenges
- Practice: Role-play with an AI partner as your conversational counterpart
- Get Feedback: Receive personalized feedback from our tough conversation AI coach
-Reflect and Repeat: Apply insights, refine your approach, and try again

Finally, you will design your own AI conversation partner for a current workplace challenge, building a personalized tool you can use beyond the course. Along the way, Stanford faculty share research, alumni share lived experiences, and you gain the playbook to shift your career trajectory.

Please note: This course requires a free ChatGPT account to participate in practice activities.