Machine Learning Foundations: Core Algorithms and Intuition

Learners will understand the mathematical intuition behind core machine learning algorithms and implement basic predictive models in Python. By completing hands-on examples, learners will prepare data, train standard regression, classification, and clustering models, and evaluate their real-world performance.

  • مبتدئ
  • حوالي ٥٫٧ ساعة
  • English
  • ٥ وحدات
  • ١٠ دروس
  • ١٨ سؤال اختبار
٦٧٪؜ راضون
من إنشاء Learnvoro Labs
ابدأ الدورة

ما ستتعلمه

  • Explain the core mathematical concepts of vectors, matrices, probability distributions, and summary statistics required to formulate basic machine learning problems.
  • Write introductory Python scripts using standard data libraries to load, manipulate, and inspect datasets for modeling.
  • Differentiate between supervised, unsupervised, and reinforcement learning paradigms using concrete real-world problem scenarios.
  • Formulate continuous prediction problems using linear regression and categorical prediction problems using logistic regression.
  • Trace the step-by-step decision rules of decision tree classifiers and the centroid-assignment process of K-Means clustering on sample data.
  • Evaluate model performance using standard validation techniques, confusion matrices, accuracy, and mean squared error.

كيف ستتعلم

  • دروس خطوة بخطوة١٠ دروس
  • دروس فيديواستمع وأنت تتعلّم
  • مخططات مرئيةأفكار مرئية
  • قراءة متعمقة
  • اختبارات للتحقق من الفهم١٨ سؤال اختبار

المتطلبات المسبقة

  • Basic high school algebra (arithmetic operations, solving simple linear equations, and reading line graphs)
  • Familiarity with general computer usage and navigating a web browser or code editor

لمن هذه الدورة

  • Adult professionals and career changers seeking a foundational, conceptually clear introduction to core machine learning principles and algorithms.

محتوى الدورة

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