What is Machine Learning? Definition, Types, Applications, and more
mygreatlearning.com
What is Machine Learning? Definition, Types, Applications, and more
What is Machine Learning: It is an application of AI & gives devices the ability to learn from their experiences without explicit coding.
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Main Challenges in Machine Learning: 1. Insufficient or Poor-Quality Data Lack of labeled data for supervised learning. Noisy, incomplete, or biased data can lead to poor models. 2. Overfitting and Underfitting Overfitting: Model performs well on training data but poorly on new data. Underfitting: Model is too simple to capture the underlying pattern. 3. High Computational Cost Training complex models (e.g., deep learning) requires powerful hardware and GPUs. 4. Scalability Models trained on sma
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اتعلّم Machine Learning خطوة بخطوة — من الـ Math لمشاريع واقعية. من أول ما تدرب model بيصنّف صور Dogs و Cats 🐶🐱 لحد ما تبني Computer Vision model شغال على Server بـ FastAPI، بيقدر يميّز إذا الكاوتش Full ولا Flat 🛞 — عشان يساعد في الأمان على الطريق. أكتر من 15 ساعة تدريب عملي، ومحتوى مدى الحياة! ابدأ دلوقتي وادخل عالم الذكاء الاصطناعي بثقة. #artificialintelligence #computerscience #machinelearning #PromptEngineering #Statistics #probability | Mohamed Essam
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اتعلّم Machine Learning خطوة بخطوة — من الـ Math لمشاريع واقعية. من أول ما تدرب model بيصنّف صور
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