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Artificial Intelligence

64 891 Подписчик

📦 Exercise Files

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55 репостов

11.07.2025 в 09:10

Artificial Intelligence

64 891 Подписчик

📱Artificial Intelligence and Machine Learning
📱Machine Learning Foundations: Prototyping with Edge Impulse

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59 репостов

11.07.2025 в 09:10

Artificial Intelligence

64 891 Подписчик

📂 Full description

Explore the world of machine learning on edge devices with this hands-on course. Robert Gallup—a technologist, designer, and maker—guides you through basic machine learning concepts and workflow. Set up the necessary tools and hardware to develop a voice-driven prototype using the Arduino Nano 33 BLE Sense microcontroller. Discover how to use the Edge Impulse platform to acquire data, train a machine learning model, and generate code for your prototype. Upload and modify the code to complete your prototype using the Arduino IDE. Finally, explore practical challenges in deploying ethical machine learning on edge devices. By the end of this course, you'll be equipped to create your own intelligent prototypes, enhancing your technical portfolio and practical problem-solving abilities.

Artificial Intelligence

64 891 Подписчик

1 картинка

🔅 Machine Learning Foundations: Prototyping with Edge Impulse

🌐 Author: Robert Gallup
🔰 Level: Beginner

⏰ Duration: 1h 9m

🌀 Discover how to collect data, train models, and deploy code on the Arduino Nano 33 BLE Sense, making intelligent and responsive prototypes.

📗 Topics: Arduino IDE, Machine Learning

📤 Join Artificial Intelligence and Machine Learning for more courses

Artificial Intelligence

64 891 Подписчик

1 картинка

📖 5 Steps For Data Pre-processing

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🔗 Types of Machine Learning

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9 812

05.06.2025 в 10:35

👨🏻‍💻 One of the most popular GitHub repositories for "learning and using algorithms in Python" is The Algorithms - Python repo with 196K stars.

✏️ It has a lot of organized and categorized code that you can use to find, read, and run different algorithms. Everything you can think of is here; from simple algorithms like sorting to advanced algorithms for machine learning, artificial intelligence, neural networks, and more.

✅ Why should we use it?

🔢 For learning: If you're looking to learn algorithms in action, this is great.

🔢 For practice: You can take the codes, run them, and modify them to better understand.

🔢 For projects : You can even use the codes here in real-life or academic projects.

🔢 For interviews: If you're preparing for data science interviews, this is full of practical algorithms.

┌ 🏳️‍🌈 The Algorithms - Python
└ 🐱 GitHub-Repos

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7 875

16.06.2025 в 10:45

🔗 Top 5 machine learning projects:

1. Predicting House Prices: Build a machine learning model that predicts house prices based on features such as location, size, number of bedrooms, etc. This project will help you understand regression techniques and feature engineering.

2. Image Classification: Create a model that can classify images into different categories such as cats vs. dogs, fruits, or handwritten digits. This project will introduce you to convolutional neural networks (CNNs) and image processing.

3. Sentiment Analysis: Develop a sentiment analysis model that can classify text data as positive, negative, or neutral. This project will help you learn natural language processing techniques and text classification algorithms.

4. Credit Card Fraud Detection: Build a model that can detect fraudulent credit card transactions based on transaction data. This project will help you understand anomaly detection techniques and imbalanced classification problems.

5. Recommendation System: Create a recommendation system that suggests products or movies to users based on their preferences and behavior. This project will introduce you to collaborative filtering and recommendation algorithms.

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6 007

21.06.2025 в 15:27

🤗 HuggingFace is offering 9 AI courses for FREE!

These 9 courses covers LLMs, Agents, Deep RL, Audio and more

1️⃣ LLM Course:
https://huggingface.co/learn/llm-course/chapter1/1

2️⃣ Agents Course:
https://huggingface.co/learn/agents-course/unit0/introduction

3️⃣ Deep Reinforcement Learning Course:
https://huggingface.co/learn/deep-rl-course/unit0/introduction

4️⃣ Open-Source AI Cookbook:
https://huggingface.co/learn/cookbook/index

5️⃣ Machine Learning for Games Course
https://huggingface.co/learn/ml-games-course/unit0/introduction

6️⃣ Hugging Face Audio course:
https://huggingface.co/learn/audio-course/chapter0/introduction

7️⃣ Vision Course:
https://huggingface.co/learn/computer-vision-course/unit0/welcome/welcome

8️⃣ Machine Learning for 3D Course:
https://huggingface.co/learn/ml-for-3d-course/unit0/introduction

9️⃣ Hugging Face Diffusion Models Course:
https://huggingface.co/learn/diffusion-course/unit0/1

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5 585

05.07.2025 в 13:29

📱Artificial Intelligence and Machine Learning
📱Machine Learning for Red Team Hackers by Infosec

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4 659

08.07.2025 в 09:01

📱Artificial Intelligence and Machine Learning
📱Machine Learning for Red Team Hackers by Infosec

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4 436

08.07.2025 в 09:01

🔥 Google has introduced InstructPipe , an AI editor for ML pipelines that works via text queries.

❔ What is InstructPipe?
InstructPipe is an AI assistant that transforms text commands into visual flowcharts representing machine learning pipelines.

The system uses two large language model (LLM) modules and a code interpreter to generate pseudocode and visualize it in a graph editor.

This is a low-code approach: you simply connect ready-made components (nodes) without writing code.

🌟 How does this work?
1️⃣ The user enters a text instruction describing the desired pipeline.

2️⃣ LLM modules process the instruction and generate the corresponding pseudocode.

3️⃣ The code interpreter converts pseudocode into a visual flowchart that you can edit and customize.

✔️ Benefits of InstructPipe

🟡 Accessibility: Allows newcomers to programming to create complex ML pipelines without having to write code.

🟡 Flexibility: Accepts text description in any form, no strict format.

🟡 Lower barrier to entry: Simplifies the process of learning and prototyping ml projects.

🔜 Read more

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4 393

24.06.2025 в 13:16

📖 5 Steps For Data Pre-processing

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4 348

08.07.2025 в 17:26

📱Artificial Intelligence and Machine Learning
📱Machine Learning for Red Team Hackers by Infosec

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4 223

08.07.2025 в 09:01

📱Artificial Intelligence and Machine Learning
📱Machine Learning for Red Team Hackers by Infosec

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3 957

08.07.2025 в 09:01

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