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1- Data Science
2- Machine Learning
3- Data Visualization
4- Artificial Intelligence
5- Data Analysis
6- Statistics
7- Deep Learning

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πŸ“š Generative AI with LangChain (2024)

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πŸ“š Generative AI (2024)

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πŸ“š Applied Generative AI for Beginners (2024)

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πŸ˜‹ BEST DATA SCIENCE CHANNELS ON TELEGRAM 🀫
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πŸ“š The Potential of Generative AI (2024)

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πŸ“š Synthetic Data and Generative AI (2024)

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πŸ“š Unsupervised Learning with Generative AI (2024)

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πŸ“š Generative AI Foundations in Python (2024)

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πŸ“š Generative AI models (2024)

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Embark on an exciting journey through the intricate world of Artificial Intelligence with our comprehensive learning map! βœ…

1⃣ Artificial Intelligence (AI)
Dive into the vast universe of AI, where machines learn to perform tasks that typically require human intelligence. From Reinforcement Learning to Augmented Programming, this broad circle encompasses a wide array of techniques and applications. Whether you're interested in Speech Recognition or Algorithm Building, this is your starting point for understanding how machines can mimic human cognition. #AI #MachineIntelligence

πŸ”’ Machine Learning (ML)
As we move inward, explore the fascinating realm of Machine Learning, a subset of AI focused on developing algorithms that enable machines to learn from data. Discover the power of Supervised and Unsupervised Learning, K-Means clustering, and Hypothesis Testing. This circle will equip you with the skills needed to analyze data and build predictive models. #MachineLearning #DataScience

πŸ”’ Neural Networks
Next, delve into Neural Networks, computer models designed to simulate the workings of the human brain. These networks are used in various applications, from image recognition to natural language processing. Learn about Backpropagation, Feed Forward networks, and Support Vector Machines. This circle will provide you with the foundation to develop complex models that can solve real-world problems. #NeuralNetworks #DeepLearningBasics

πŸ”’ Deep Learning
In the narrower circle, discover Deep Learning, an advanced branch of ML that uses multi-layered neural networks to tackle complex challenges. Explore Long Short-Term Memory (LSTM) networks, Transformers, and Auto Encoders. These techniques are at the forefront of modern AI applications like machine translation and medical diagnosis. Join us to master these cutting-edge technologies. #DeepLearning #AdvancedAI

πŸ”’ Generative AI
Finally, in the smallest and most specialized circle, uncover Generative AI, which focuses on creating new and innovative content using AI. Dive into Generative Adversarial Networks (GANs), Large Language Models (LLM), and Transfer Learning. This circle will empower you to generate creative content such as images and text using AI. #GenerativeAI #CreativeTech

Our AI learning map is your gateway to mastering the latest advancements in technology. Whether you're a beginner eager to grasp the basics or a professional looking to expand your expertise, this map offers a clear path to achieving your goals in the ever-evolving field of AI. Start your journey today and unlock the potential of artificial intelligence! #AILearningMap #TechFuture

https://t.iss.one/CodeProgrammer ✈️
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Microsoft launched the best course on Generative AI!

The Free 21 lesson course is available on #Github and will teach you everything you need to know to start building #GenerativeAI applications.

Enroll: https://github.com/microsoft/generative-ai-for-beginners

https://github.com/microsoft/generative-ai-for-beginners 🩷
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✨ Image Processing with Gemini Pro ✨

πŸ“– Table of Contents Image Processing with Gemini Pro Getting Started with Gemini Pro: An Overview Gemini Pro Setup Integrating Google AI Python SDK with Gemini Pro Image Processing with Gemini Pro: Python Code Generation Comprehensive List of GenAI Models Compatible…...

🏷️ #ArtificialIntelligence #ChatGPT #DeepLearning #Gemini #GeminiPro #GenAI #GenerativeAI #GoogleCloud #ImageProcessing #Python #Transformers #Tutorial #VertexAI
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πŸ”₯ Trending Repository: generative-ai-for-beginners

πŸ“ Description: 21 Lessons, Get Started Building with Generative AI

πŸ”— Repository URL: https://github.com/microsoft/generative-ai-for-beginners

πŸ“– Readme: https://github.com/microsoft/generative-ai-for-beginners#readme

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πŸ’» Programming Languages: Jupyter Notebook - Python - JavaScript - TypeScript - Shell - PowerShell

🏷️ Related Topics:
#ai #azure #transformers #openai #gpt #language_model #semantic_search #dall_e #prompt_engineering #llms #generative_ai #generativeai #chatgpt #microsoft_for_beginners


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