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Machine Learning

A branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

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LLM-powered Decision Trees Explain Predictions in Plain English

LLM-powered Decision Trees Explain Predictions in Plain English

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1 min read
Building an Interactive Kids Story Generator with React Native and Hugging Face API

Building an Interactive Kids Story Generator with React Native and Hugging Face API

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5 min read
Skip college, learn to code

Skip college, learn to code

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1 min read
20 Open Source Tools I Recommend to Build, Share, and Run AI Projects

20 Open Source Tools I Recommend to Build, Share, and Run AI Projects

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14 min read
Building a Personalised AI Chatbot with GPT and Gradio

Building a Personalised AI Chatbot with GPT and Gradio

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3 min read
Recapping the AI, Machine Learning and Computer Meetup — November 14, 2024

Recapping the AI, Machine Learning and Computer Meetup — November 14, 2024

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6 min read
Data Lake Explained: Architecture, Challenges, and How to Leverage It

Data Lake Explained: Architecture, Challenges, and How to Leverage It

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7 min read
Python libraries

Python libraries

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1 min read
The Art of Data Harmonisation: Unifying Disparate Data Sources for Scalable Cloud Analytics

The Art of Data Harmonisation: Unifying Disparate Data Sources for Scalable Cloud Analytics

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4 min read
Facial Recognition System Development – The Why’s and How’s

Facial Recognition System Development – The Why’s and How’s

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2 min read
Data-Centric Visual AI Linkedin Learning course! 00:48

Data-Centric Visual AI Linkedin Learning course!

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1 min read
Applying the IAMB Algorithm: Feature Selection for Predicting Diabetes in Women

Applying the IAMB Algorithm: Feature Selection for Predicting Diabetes in Women

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5 min read
Recapping the AI, Machine Learning and Computer Meetup — October 10, 2024

Recapping the AI, Machine Learning and Computer Meetup — October 10, 2024

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5 min read
On the Programmability of AWS Trainium and Inferentia

On the Programmability of AWS Trainium and Inferentia

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15 min read
Reinforcement Learning with Human Feedback (RLHF) for Large Language Models (LLMs)

Reinforcement Learning with Human Feedback (RLHF) for Large Language Models (LLMs)

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8 min read
Taming the Machine Learning Pipeline Beast: ZenML Edition

Taming the Machine Learning Pipeline Beast: ZenML Edition

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3 min read
AI-Powered Defect Detection: Advancements in Machine Learning Algorithms

AI-Powered Defect Detection: Advancements in Machine Learning Algorithms

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4 min read
Beginner-Friendly Machine Learning Tools to Start Your AI Journey

Beginner-Friendly Machine Learning Tools to Start Your AI Journey

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4 min read
Understanding the Turing Test: How Close Are We to True AI?

Understanding the Turing Test: How Close Are We to True AI?

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6 min read
Data Preprocessing Techniques for Machine Learning in Python

Data Preprocessing Techniques for Machine Learning in Python

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6 min read
Can Machines Think? The Role of the Turing Test in Artificial Intelligence

Can Machines Think? The Role of the Turing Test in Artificial Intelligence

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6 min read
Quickly Scale Data Prep for LLMs with Extensible Open-Source DPK Toolkit

Quickly Scale Data Prep for LLMs with Extensible Open-Source DPK Toolkit

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1 min read
Benchmark Reveals Safety Risks of AI Code Agents - Must Read for Developers

Benchmark Reveals Safety Risks of AI Code Agents - Must Read for Developers

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1 min read
Discovering Anomalies in Complex Networks with UniGAD: A Multi-Level Graph Approach

Discovering Anomalies in Complex Networks with UniGAD: A Multi-Level Graph Approach

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1 min read
Distill Large Language Models Into Compact AI With LLM-Neo

Distill Large Language Models Into Compact AI With LLM-Neo

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1 min read
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