🔥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

🔴Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV

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

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!

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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.


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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.

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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/
Twitter: https://twitter.com/edurekain
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"🔥Introduction to Generative AI: https://www.edureka.co/introduction-generative-ai?

🔥Google I/O 2024, the annual developer conference held by Google, delivered a multitude of groundbreaking announcements and innovative advancements that are set to shape the future of technology. Held virtually and in-person, this year's event was a blend of immersive experiences, keynote presentations, and hands-on demos that captivated the global tech community. Do watch this video to know the key highlights from Google I/O 2024.

✅ 00:00 - Google I/O 2024
✅ 01:36 - GOOGLE WORKSPACE WITH GEMINI 1.5 Pro
✅ 02:14 - GOOGLE PHOTOS
✅ 03:24 - AI AGENTS
✅ 03:41 - PROJECT ASTRA
✅ 04:31 - Gemini 1.5 Flash
✅ 05:03 - VEO
✅ 05:16 - Google Search with AI
✅ 05:56 - Gems in Gemini 1.5 pro
✅ 06:25 - AI IN ANDROID
✅ 06:47 - Gemma Open Models
✅ 07:14 - Responsible AI


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

📝Feel free to share your comments below.📝

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t
🌕 Java Online Training: http://bit.ly/3tRxghg
🔵 Big Data Online Training: http://bit.ly/3EvUqP5
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🔵 Python Online Training: http://bit.ly/3Oubt8M
🌕 Azure Online Training: http://bit.ly/3i4P85F

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv


🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🌕 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
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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/

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What is Generative AI?

Generative AI is a branch of artificial intelligence that focuses on producing or creating fresh content, such as images, text, audio, or even videos, that closely resembles data generated by humans. In contrast to conventional AI models that learn to identify patterns or make decisions based on existing data (discriminative models), generative AI models are trained to produce new data that mirrors the original training data.
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What is Prompt Engineering?‎
Prompt engineering involves optimizing artificial intelligence engineering for multiple purposes. It includes refining large language models (LLMs) using specific prompts and recommended outputs. Additionally, it focuses on enhancing input to different generative AI services to make text or images. With advancements in generative AI tools, prompt engineering becomes crucial for generating diverse content, such as robotic process automation bots, 3D assets, scripts, robot instructions, and various digital artifacts.
How can I get started with Generative AI?
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To get started with Introduction to Generative AI, you can:
Enroll in the Introduction to Generative AI Learning Path course.
Read research papers and books on Generative AI.
Experiment with open-source code repositories and frameworks.
Join online communities and forums to learn from others and seek advice.

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

LangChain is an open-source framework that allows you to build applications using LLMs (Large Language Models). In this crash course for LangChain, we are going to cover the following topics,

00:00 Introduction
00:22 What is Langchain?
04:38 Langchain installation and setup
06:28 LLMs, Prompt Templates
10:12 Chains
11:57 Simple Sequential Chain
15:30 Sequential Chain
18:00 Build Streamlit App
27:40 Agents
37:24 Memory

Link to the source code: https://codebasics.io/resource....s/langchain-crash-co

Langchain tutorial playlist: https://www.youtube.com/playli....st?list=PLeo1K3hjS3u

Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses.

Need help building software or data analytics/AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website.

🎥 Codebasics Hindi channel: https://www.youtube.com/channe....l/UCTmFBhuhMibVoSfYo

#️⃣ Social Media #️⃣
🔗 Discord: https://discord.gg/r42Kbuk
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🔗 Patreon: https://www.patreon.com/codeba....sics?fan_landing=tru

Qual a diferença entre Inteligência Artificial, Machine Learning e Deep Learning?

Neste vídeo trato das diferenças que existem entre as tecnologias de Inteligência Artificial, Aprendizado de Máquina e Aprendizado Profundo, além de abordar as aplicações de cada tecnologia.

Leia também: O que é Machine Learning? http://www.bosontreinamentos.c....om.br/inteligencia-a

Ajude o canal adquirindo meus cursos na Udemy:
Bancos de Dados com MySQL Básico: https://bit.ly/35QdWE4
Lógica de Programação com Português Estruturado: https://bit.ly/3QKPn22
Programação em Python do Zero: https://bit.ly/python-boson

Adquira também livros e outros itens na loja da Bóson Treinamentos na Amazon e ajude o canal a se manter e crescer:
https://www.amazon.com.br/shop/bosontreinamentos

Seja membro deste canal e ganhe benefícios:
https://www.youtube.com/channe....l/UCzOGJclZQvPVgYZIw

Contribua com a Bóson Treinamentos!:
http://www.bosontreinamentos.com.br/contribuir/

Por Fábio dos Reis
Bóson Treinamentos: http://www.bosontreinamentos.com.br
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Outros projetos do autor:
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#bosontreinamentos #inteligenciaartificial #machinelearning

Artificial Intelligence, Machine Learning, and Deep Learning have become the most talked-about technologies in today’s commercial world as companies are using these innovations to build intelligent machines and applications. And although these terms are dominating business dialogues all over the world, many people have difficulty differentiating between them.

In this video, Dr. Sheraz Naseer, a cyber security and deep learning expert, will be explaining:
- What are AI, ML, and Deep Learning?
- What's the difference between AI, ML & DL?
- How can you make a career in this field?

Playlist - Data Science Series: https://www.youtube.com/playli....st?list=PLxf3-FrL8Gz

👉 For free online courses, Visit Irfan Malik's channel: http://youtube.com/@muhammadirfanmalik

Much more:

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🔥IIT Kanpur Professional Certificate Course In Data Analytics (India Only): https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=28June2024DataANalystWithNoExperience&utm_medium=DescriptionFF&utm_source=youtube
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This "Step by step roadmap to become data analyst with no experience" video by Simplilearn is created to provide you with a Complete Data Analyst Roadmap that you would need to become a data analyst in 2024 without experience. This in-depth video provides you with a detailed path of how you can prepare yourself to become a Data Analyst. Data Analysis is an ever-growing field which is very high in demand in all fields like IT, FinTech, E-commerce, Travel, Tech etc. With the advent of so many new AI tools and ML Applications, the demand for Data Analysts will grow even further.

00:00 Step by step roadmap to become data analyst with no experience
02:27 What does data analyst do?
03:54 Roles & Responsibilities of data Analyst
03:20 Steps to become a data analyst
03:46 Master the basics
07:11 Personal Projects
08:06 get Certified
08:46 Build A portfolio
09:26 Networking & Mentorship
09:46 Internship
10:26 Prepare for interviews

✅How to become a data analyst with no experience roadmap?
Step 1: Learn The Essential Data Analysis Skills. Start with the basics of data analysis.
Step 2: Get Qualified in Data Analysis.
Step 3: Practice Your Data Analyst Skills.
Step 4: Create A Data Analyst Portfolio of Projects.
Step 5: Start Applying For Entry-Level Data Analyst Jobs.

✅Can I get a data analyst job with no experience?
The good news is that you don't need any experience to become a data analyst.

✅How to become a data analyst for a beginner?
Get a foundational education.
Build your technical skills.
Work on projects with real data.
Develop a portfolio of your work.
Practice presenting your findings.
Get an entry-level data analyst job.
Consider certification or an advanced degree.

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#DataAnalysis #DataAnalyst #PowerBI #Tableau #Excel #2024 #Simplilearn

➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
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- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars

✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning

👉 Learn More At: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=28June2024DataANalystWithNoExperience&utm_medium=Description&utm_source=youtube

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🔥 Microsoft Power BI Certification Training: PwC Academy: https://www.edureka.co/power-b....i-certification-trai

This video on *Power BI Desktop* covers everything you need to know, from its evolution to practical applications. We'll dive into the history of Power BI, explaining what Power BI and Power BI Desktop are and why Power BI Desktop is a key tool for business intelligence. You'll also learn how to install Power BI Desktop, explore its features, and understand how to use it to create insightful reports. Finally, we'll guide you through the process of publishing a Power BI report. Whether you're a beginner or looking to expand your knowledge, this tutorial provides valuable insights into Power BI Desktop.

✅ 00:00 - Introduction to Power BI Desktop
✅ 01:08 - Evolution of Power BI
✅ 02:47 - What is Power BI?
✅ 03:22 - What is Power BI Desktop?
✅ 03:55 - Why is Power BI Desktop used?
✅ 04:28 - Power BI Desktop installation
✅ 05:04 - How is Power BI Desktop used?
✅ 17:09 - How to Publish Power BI Report?

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

📝Feel free to share your comments below.📝

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t
🌕 Java Online Training: http://bit.ly/3tRxghg
🔵 Big Data Online Training: http://bit.ly/3EvUqP5
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🔵 Python Online Training: http://bit.ly/3Oubt8M
🌕 Azure Online Training: http://bit.ly/3i4P85F

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv

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🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🌕 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
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📌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/

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About Power BI Certification Course

Edureka's Power BI certification course helps you master Business Analytics, covering Power BI Desktop, DAX, Service, Data Transformation, Reports, and more. With live instructor-led sessions and real-time projects, you’ll gain hands-on experience from industry experts with over 10 years of experience and be prepared to clear the PL-300 exam.
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What are the prerequisites for the Edureka Power BI training course?

There is no prior technical knowledge required for this Power BI training course. However, a fundamental understanding of Microsoft Excel, R and Python Scripts will be an advantage. To help you brush up concepts of R and Python Scripts, we will provide self-paced videos absolutely free in your LMS.
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Why should you learn Power BI course?

Power BI is a business analytics service provided by Microsoft. It provides interactive visualizations with self-service business intelligence capabilities, where end users can create reports and dashboards by themselves without having to depend on any information technology staff or database administrator. Microsoft Power BI Plus: Certified by PwC program shares knowledge on how it provides cloud-based BI services - known as Power BI Services, along with a desktop-based interface called Power BI Desktop. It offers Data modeling capabilities including data preparation, and data discovery, which can be utilized for implementing efficient interactive reports and dashboards.
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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)

#powerbi #powerbidesktop #powerbitutorial

🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐒𝐐𝐋 𝐂𝐨𝐮𝐫𝐬𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/microso....ft-sql-server-certif
This Edureka SQL Full Course video will cover all the topics of Structured Query Language (SQL) starting from scratch. This SQL tutorial for beginners is great for beginners who want to learn SQL and for professionals who want to brush up on their SQL skills.
00:00:00 Introduction
00:05:51 What is SQL?
00:18:02 SQL Operators
00:52:27 Normalization in SQL
01:03:55 Triggers In SQL
01:16:07 SQL Joins
01:38:20 SQL Functions
03:05:48 SQL vs MySQL
03:53:50 Basics of SQL
04:11:04 SQL vs NoSQL
04:16:34 SQL For Data Science
04:23:14 PostgreSQL
06:31:00 SQL Server
08:10:30 Introduction to SQLAlchemy
08:15:56 How to use SQLAlchemy with Python?
08:20:32 SQL Interview Questions and Answers
09:11:32 SQL Server Interview Questions and Answers


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Oftentimes, GAI and RAG discussions are interconnected. Learn more about about RAG is and how it works alongside your databases, LLMs and vector databases for better results with Luv Aggarwal and Shawn Brennan.

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In this Top 5 AI Technologies 2021 video, you will see the most popular AI technologies that are widely used. You will get a glance at these technologies and learn where artificial Intelligence can be used. You will get an idea of the different domains where AI has found its applications.


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#AITechnology #Top5AiTechnologies #TopArtificialIntelligenceTechnology #ArtificialIntelligenceApplications #Top5AITechnology #Simplilearn #Shorts

What is Artificial Intelligence?
Artificial Intelligence or AI is the combination of algorithms used for the purpose of creating intelligent machines that have the same skills as a human being. AI has made significant advances in the past few years and has impacted both our everyday lives and business in big ways. It is being widely used in every sector of business, such as Healthcare, E-Commerce, Manufacturing, Retail, and Logistics.

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Simplilearn’s Artificial Intelligence course provides training in the skills required for a career in AI. You will master TensorFlow, Machine Learning and other AI concepts, plus the programming languages needed to design intelligent agents, deep learning algorithms & advanced artificial neural networks that use predictive analytics to solve real-time decision-making problems without explicit programming.

Why learn Artificial Intelligence?
The current and future demand for AI engineers is staggering. The New York Times reports a candidate shortage for certified AI Engineers, with fewer than 10,000 qualified people in the world to fill these jobs, which according to Paysa earn an average salary of $172,000 per year in the U.S. (or Rs.17 lakhs to Rs. 25 lakhs in India) for engineers with the required skills.

You can gain in-depth knowledge of Artificial Intelligence by taking our Artificial Intelligence certification training course. Those who complete the course will be able to:
1. Master the concepts of supervised and unsupervised learning
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4. Understand the concepts and operation of support vector machines, kernel SVM, naive bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
5. Comprehend the theoretical concepts and how they relate to the practical aspects of machine learning.
6. Be able to model a wide variety of robust machine learning algorithms including deep learning, clustering, and recommendation systems

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Reinforcement Learning with Human Feedback (RLHF) is a method used for training Large Language Models (LLMs). In the heart of RLHF lies a very powerful reinforcement learning method called Proximal Policy Optimization. Learn about it in this simple video!

This is the first one in a series of 3 videos dedicated to the reinforcement learning methods used for training LLMs.

Full Playlist: https://www.youtube.com/playli....st?list=PLs8w1Cdi-zv

Video 0 (Optional): Introduction to deep reinforcement learning https://www.youtube.com/watch?v=SgC6AZss478
Video 1 (This one): Proximal Policy Optimization
Video 2: Reinforcement Learning with Human Feedback https://www.youtube.com/watch?v=Z_JUqJBpVOk
Video 3 (Coming soon!): Deterministic Policy Optimization

00:00 Introduction
01:25 Gridworld
03:10 States and Action
04:01 Values
07:30 Policy
09:39 Neural Networks
16:14 Training the value neural network (Gain)
22:50 Training the policy neural network (Surrogate Objective Function)
33:38 Clipping the surrogate objective function
36:49 Summary

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Latent Dirichlet Allocation is a powerful machine learning technique used to sort documents by topic. Learn all about it in this video!

This is part 1 of a 2 video series.
Video 2: https://www.youtube.com/watch?v=BaM1uiCpj_E

For information on my book "Grokking Machine Learning": https://www.manning.com/books/....grokking-machine-lea
Discount code (40%): serranoyt

0:00 Introduction
0:11 The problem
3:47 Machine that generates documents
5:13 Blueprint for the LDA machine
5:49 Probability of a document
9:22 Quiz: Which one for topics?
11:06 A distribution of distributions
11:30 More topics? More dimensions
12:20 In More dimensions
12:55 Quiz: Where to put the topics?
14:05 Two Dirichlet distributions
14:22 Latent Dirichlet Allocation
22:05 Best settings on the machine
22:37 The winning arrangements
25:28 Series of two videos
25:48 Acknowledgements
26:30 Thank you!

🚀 Small Language Models (SLMs): The Future of AI? 🤖

Most people think AI—like ChatGPT—needs huge servers and an internet connection. While that’s true for Large Language Models (LLMs), AI doesn’t have to be massive!

Introducing Small Language Models (SLMs)—AI that’s lightweight, efficient, and runs entirely offline. 📱💡

🔍 What You’ll Learn in This Video:
✅ SLMs vs. LLMs – What’s the difference?
✅ How SLMs work – Train them on your data for specific tasks.
✅ Real-world examples – AI for customer support, healthcare, and education.
✅ Why SLMs are the future – Privacy-friendly, low-energy, and cost-effective!

🌎 Why This Matters:
Unlike LLMs that require cloud computing, SLMs can run directly on your phone, laptop, or even a Raspberry Pi! No internet needed, no privacy concerns, and perfect for businesses, remote areas, and industries with strict data security requirements.

💡 SLMs Are Changing AI Forever!
• Instant AI-powered customer support 🏢
• Medical assistance in remote areas 🏥
• Personalized education tools for students 📚
• Energy-efficient AI for sustainability 🌱

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🎞 Video Resources 🎞
UV Video: https://www.youtube.com/watch?v=6pttmsBSi8M
Code in this video: https://github.com/techwithtim..../PythonAIAgentin10Mi

⏳ Timestamps ⏳
00:00 | Install & Setup
01:23 | OpenAI API Key
03:26 | Imports
04:42 | Tools
06:39 | LLM & Agent
07:43 | Driver Code
09:45 | Testing

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Want to automate anything with Claude Code, even if you're a total beginner? In this step-by-step tutorial, I’ll show you how to use Claude Code, Blotato MCP, and AI automation workflows to build powerful systems without being a developer. Whether you're into no-code automation, AI agents, or building passive income systems, this guide will help you turn ideas into automated machines fast.

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I'm Sabrina Ramonov. I'm on a mission to teach 1 million people AI. I'm also the solo founder of Blotato.com. It's a SaaS app for creators/entrepreneurs to go viral faster with AI, just like me (0 to 500k+ in 6 months solo).

How I got here…

0: Born in Quezon City, Philippines 🇵🇭
22 yrs old: Graduated UC Berkeley with degrees in Computer Science and Physics... and $250k in student loans.
23 yrs old: Started Qurious, as Founder/CEO, doing natural language processing (AI) in healthcare.
25 yrs old: Closed pilots with billion-dollar pharmaceutical companies, but failed to reach product market fit.
26 yrs old: Pivoted Qurious a lot, then settled on real-time call guidance for sales and customer support, combining streaming speech recognition (AI) and natural language processing (AI).
28 yrs old: Made the Forbes 30 Under 30 list, while living in a living room of 2BR San Francisco apartment.
30 yrs old: Sold 100% of Qurious to Pegasystems (NASDAQ: Pega) in cash and stock deal ($10M+ total).
31 yrs old: Integrated Qurious with Pegasystems Customer Service to launch Pega Voice AI, now used by 1000s of support agents.
32 yrs old: Started angel investing in VC/seed funds, crypto, and passion areas 🍄 while recovering from burnout by hiking, skiing, and reading. Dropped 50 lbs to get back in shape.
33 yrs old: Started making free content to teach 1 million people AI.
34 yrs old: 0 to 500k+ followers in 6 months with $0 budget, 0 team, $0 paid ads, 0 masterminds.

Today: Started https://Blotato.com to distribute 100+ pieces of content per week. 1000s of creators & entrepreneurs use Blotato to go viral faster with AI.

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