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#AI #Software #ITModernization #DataGovernance #lightboard #IBM #watsonx

🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐌𝐚𝐬𝐭𝐞𝐫 𝐏𝐫𝐨𝐠𝐫𝐚𝐦: https://www.edureka.co/masters....-program/machine-lea (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
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.
00:00 Introduction
00:18 Agenda
02:35 Introduction to NLP
04:08 Ways to process Text Data
05:55 Recurrent Nuetral Networks
16:06 Long Short-term Memory
17:17 LSTM Use Cases
18:15 Name Entity Recognition
20:55 Sentiment Analysis
22:50 Machine Translation
24:19 Hands-on
📝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 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟐 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩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

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_lea...
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?count...
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

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.

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✅ 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

#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
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- 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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RE-live your 90s with this beautiful compilation of the most romantic Bollywood songs. Don't forget to tell us your favorite one.

Stay updated with the latest videos from Tips Official, Subscribe on the below link.
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Song Details:
Meri Mehbooba - 00:00
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🔥Purdue - Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=Ot1Q1fuLNuw&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=Ot1Q1fuLNuw&utm_medium=Lives&utm_source=Youtube
🔥Advanced Executive Program In Applied Generative AI - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=Ot1Q1fuLNuw&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
00:04:37 What is Gen AI ?
00:05:22 Gen AI Tutorial for beginners
00:16:01 Roadmap to become a Gen AI Engineer
00:25:51 Introduction to LLM
01:27:04 What is Machine Learning?
02:23:36 Machine Learning Tutorial
04:28:59 Reinforcement Learning
04:45:04 Deepseek r1
04:52:03 Deep Learning
05:00:20 Search GPT
05:02:35 Langchain
05:59:10 Generative Adversarial Tutorial
06:08:32 What are Gans
06:09:33 Transformers in AI
06:22:02 LSTM
06:41:53 CHatgpt analyse
06:52:49 Openai sora
07:01:42 LLM Benchmarkeing
07:52:25 Hugging Face and its tutorial
08:07:49 Open ai chatgpt o1 model
08:44:51 Agentic AI
08:53:14 Google Quantam AI
08:58:23 Gen ai tools for job interview
10:58:44 Deep learning Interview questions

✅ 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

#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

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✅ 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

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Check out HubSpot’s AI Agents Unleashed: Playbook for 2025 Success - https://clickhubspot.com/23bc50
🤖 Want to get ahead in your career using AI? Join the waitlist for my AI Agent Bootcamp: https://www.lonelyoctopus.com/ai-agent-bootcamp

I tested every no-code AI agent builder so you don’t have to.
From StackAI and Relevance AI to n8n, Flowise, Lindy, and Dify, this video breaks down the best platforms to create AI agents — without writing a single line of code.

You’ll learn:
⚙️ The core features and ideal use cases of each builder
🧩 How each platform handles automation, API integration, and LLM workflows
📈 When to use visual tools vs workflow orchestrators
💡 The difference between automations and dynamic agents — and why it matters
🚀 The easiest way to go from idea → AI agent → deployed product

We’ll explore:

StackAI for general-purpose agents and API publishing
Relevance AI for scalable workflows
n8n for powerful orchestration & branching logic
Flowise / Langflow for open-source prompt engineering
Dify and Lindy for hybrid and business automation
Botpress, Bubble, Make, MindStudio, and more

By the end, you’ll know exactly which no-code agent builder fits your workflow.

🤝 Business Inquiries: https://tally.so/r/mRDV99

🔗 Tools & Resources Mentioned
https://learn.deeplearning.ai/....courses/agentic-ai/l
https://learn.deeplearning.ai/....courses/agentic-ai/l
https://learn.deeplearning.ai/....courses/agentic-ai/l
https://learn.deeplearning.ai/....courses/agentic-ai/l

🔗Affiliates
========================
My SQL for data science interviews course (10 full interviews):
https://365datascience.com/lea....rn-sql-for-data-scie

365 Data Science:
https://365datascience.pxf.io/WD0za3 (link for 57% discount for their complete data science training)

Check out StrataScratch for data science interview prep:
https://stratascratch.com/?via=tina

🎥 My filming setup
========================
📷 camera: https://amzn.to/3LHbi7N
🎤 mic: https://amzn.to/3LqoFJb
🔭 tripod: https://amzn.to/3DkjGHe
💡 lights: https://amzn.to/3LmOhqk

📲Socials
========================
instagram: https://www.instagram.com/hellotinah/
linkedin: https://www.linkedin.com/in/tinaw-h/
tiktok: https://www.tiktok.com/@hellotinahuang
discord: https://discord.gg/5mMAtprshX

🎥Other videos you might be interested in
========================
How I consistently study with a full time job:
https://www.youtube.com/watch?v=INymz5VwLmk

How I would learn to code (if I could start over):
https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s

🐈‍⬛🐈‍⬛About me
========================
Hi, my name is Tina and I'm an ex-Meta data scientist turned internet person!

📧Contact
========================
youtube: youtube comments are by far the best way to get a response from me!
linkedin: https://www.linkedin.com/in/tinaw-h/
email for business inquiries only: [email protected]

========================
Some links are affiliate links and I may receive a small portion of sales price at no cost to you. I really appreciate your support in helping improve this channel! :)

What are agentic AI and agentic operating systems? And what are their potential benefits, drawbacks and longer-term implications?

For further information, the websites and articles included in this video are as follows:

PROTOCOLS:

MCP website: https://modelcontextprotocol.i....o/docs/getting-start

Google announces the A2A protocol: https://developers.googleblog.....com/en/a2a-a-new-era

IBM’s ACP integrated into A2A: https://lfaidata.foundation/co....mmunityblog/2025/08/

A2A Protocol website: https://a2a-protocol.org/latest/


ORCHESTRATION PLATFORMS:

Microsoft AutoGen: https://www.microsoft.com/en-u....s/research/project/a

IBM WatsonX Orchestrate: https://www.ibm.com/products/watsonx-orchestrate

AWS Bedroom AgentCore: https://aws.amazon.com/bedrock/agentcore/

Google Vertex AI Agent Builder: https://cloud.google.com/products/agent-builder

Google Gemini Enterprise https://cloud.google.com/gemini-enterprise

AgentForce: https://www.salesforce.com/uk/agentforce/

Forethought: https://forethought.ai/

Origon AI: https://origon.ai/


AGENTIC OPERATING SYSTEMS:

“Making every Windows PC an AI PC”: https://blogs.windows.com/wind....owsexperience/2025/1

“Experimental Agentic Features” in Windows: https://support.microsoft.com/....en-us/windows/experi

Microsoft Agent 365: https://www.microsoft.com/en-u....s/microsoft-agent-36

MIT Sloan Management Review and BCG article on the agentic enterprise (inc survey): https://sloanreview.mit.edu/pr....ojects/the-emerging-

Apple working on MCP support for agentic AI: https://9to5mac.com/2025/09/22..../macos-tahoe-26-1-be


More videos on computing and related topics can be found at:
http://www.youtube.com/@ExplainingComputers

And more videos on film and other making, plus retro tech, can be found on my Christopher Barnatt channel: http://www.youtube.com/@ChristopherBarnatt

Chapters:
00:00 Titles & Intro
00:48 Agentic AI Basics
07:14 The Good
09:53 The Bad
11:48 The Ugly
13:22 The Future

#AgenticAI #agentic #Aiagent #agent #MCP #A2A #orchestration #ExplainingComputers

For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai

August 7, 2025

Guest Lecture:
Gabor Angeli
AI Research Engineer, Resolve AI

Bharat Khandelwal
AI Research Engineer, Resolve AI

Spiros Xanthos
Founder & CEO, Resolve AI

To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu

https://watch.naturerelaxation.....com/videos/australi | ABOUT: Prepare your senses for an ultra-relaxing and immersive Nature Relaxation™ experience from a beautiful Australian rainforest, filmed in ultra high resolution 8K. Paired with a soothing backdrop of stereo nature sounds and exclusive music by Relax Moods, "Australian Rainforest Relaxation" is sure to leave viewers feeling rejuvenated and full of inspiration thanks to its unique cinematography style which features a dynamic mix of stunning scenes in both real time and slow motion, and also employs the use of slowly moving shots to make for a more cinematic viewing experience. MORE INFO / CREDITS:

Filmed by Nature Relaxation™ Collaborator Elliot Manning
Produced by David Huting
Music by Relax Moods
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With plenty of machine learning tools currently available, why would you ever choose an artificial neural network over all the rest? This clip and the next could open your eyes to their awesome capabilities! You'll get a closer look at neural nets without any of the math or code - just what they are and how they work. Soon you'll understand why they are such a powerful tool!

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Deep Learning is primarily about neural networks, where a network is an interconnected web of nodes and edges. Neural nets were designed to perform complex tasks, such as the task of placing objects into categories based on a few attributes. This process, known as classification, is the focus of our series.

Classification involves taking a set of objects and some data features that describe them, and placing them into categories. This is done by a classifier which takes the data features as input and assigns a value (typically between 0 and 1) to each object; this is called firing or activation; a high score means one class and a low score means another. There are many different types of classifiers such as Logistic Regression, Support Vector Machine (SVM), and Naïve Bayes. If you have used any of these tools before, which one is your favorite? Please comment.

Neural nets are highly structured networks, and have three kinds of layers - an input, an output, and so called hidden layers, which refer to any layers between the input and the output layers. Each node (also called a neuron) in the hidden and output layers has a classifier. The input neurons first receive the data features of the object. After processing the data, they send their output to the first hidden layer. The hidden layer processes this output and sends the results to the next hidden layer. This continues until the data reaches the final output layer, where the output value determines the object's classification. This entire process is known as Forward Propagation, or Forward prop. The scores at the output layer determine which class a set of inputs belongs to.

Links:
Michael Nielsen's book - http://neuralnetworksanddeeplearning.com/
Andrew Ng Machine Learning - https://www.coursera.org/learn/machine-learning
Andrew Ng Deep Learning - https://www.coursera.org/speci....alizations/deep-lear

Have you worked with neural nets before? If not, is this clear so far? Please comment.
Neural nets are sometimes called a Multilayer Perceptron or MLP. This is a little confusing since the perceptron refers to one of the original neural networks, which had limited activation capabilities. However, the term has stuck - your typical vanilla neural net is referred to as an MLP.

Before a neuron fires its output to the next neuron in the network, it must first process the input. To do so, it performs a basic calculation with the input and two other numbers, referred to as the weight and the bias. These two numbers are changed as the neural network is trained on a set of test samples. If the accuracy is low, the weight and bias numbers are tweaked slightly until the accuracy slowly improves. Once the neural network is properly trained, its accuracy can be as high as 95%.


Credits:
Nickey Pickorita (YouTube art) -
https://www.upwork.com/freelan....cers/~0147b8991909b2
Isabel Descutner (Voice) -
https://www.youtube.com/user/IsabelDescutner
Dan Partynski (Copy Editing) -
https://www.linkedin.com/in/danielpartynski
Jagannath Rajagopal (Creator, Producer and Director) -
https://ca.linkedin.com/in/jagannathrajagopal