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Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve ...

In a couple of previous videos, I was talking about the advancement of Artificial intelligence, Artificial intelligence, neural networks ...

In a supervised learning model, the algorithm learns on a labelled dataset. In an unsupervised model, provides unlabeled data ...

... Machine Learning Course: https://www.coursera.org/specializations/machine-learning-introduction Deep Learning Course: ...

Let's get you hands-on experience by building a simple but real AI model. This guide will walk you through creating an AI that can ...

Supervised Learning vs Unsupervised Learning in Sinhala | Dilhani Athukorala.

How to become a Machine Learning Engineer What does a machine learning engineer do? Machine learning engineers act as ...

මේ වීඩියෝ එකෙන් අපි කතා කරන්න යන්නේ machine learning pipelines ගැන. මේකෙදි අපි ...

This episode contains the vision, structure, and content of the Machine Learning in Sinhala series.

Machine Learning | Reinforcement Learning | in Sinhala - Imantha Ahangama.

Machine Learning | XGBoost - in Sinhala | Chamath Rathnayake.

Machine Learning | Performance measures of ML | in Sinhala - Kaveesha Baddage.

AI vs Machine learning | in Sinhala | Sandupama Balasuriya.

" Microsoft AI Engineer Program ...

Machine Learning | Feature Transformation and Scaling Techniques - in Sinhala - Uthpala Pitawela.

In statistics and machine learning, ensemble methods use multiple learning algorithms to obtain better predictive performance ...

Train Test Split in Machine Learning | Sinhala අපි සාමාන්‍යයෙන් Machine Learning Model එකක් train කරන්න ...

Reinforcement Learning is another type of Machine Learning. Reinforcement learning involves no supervisor and only a reward ...

මෙම video එකෙන් මම කියල දෙන්න යන්නේ machine learning models evaluate කරන්න යොදාගන්න ...

In this video I cover the Bagging (Bootstrap Aggregating) and Boosting ensemble learning algorithms that are commonly across ...