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THE LEARNING ROADMAP

Machine Learning Series curriculum

Concept → Intuition → Mathematics → Visualization → Implementation → Evaluation → Practical Application

Explore the course modules below. Cohort dates appear on the course page; approved students can find shared links and updates in My courses → Notifications & News.

01

Introduction to Machine Learning

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Concept, intuition, mathematics, visualization, Python implementation, evaluation and practical application.

02

Traditional Machine Learning Models

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Concept, intuition, mathematics, visualization, Python implementation, evaluation and practical application.

03

Ensemble Learning

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Concept, intuition, mathematics, visualization, Python implementation, evaluation and practical application.

04

Deep Learning Fundamentals

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Concept, intuition, mathematics, visualization, Python implementation, evaluation and practical application.

05

CNNs

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Concept, intuition, mathematics, visualization, Python implementation, evaluation and practical application.

06

RNNs / LSTM / GRU

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Concept, intuition, mathematics, visualization, Python implementation, evaluation and practical application.

07

Transformers & LLMs

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Concept, intuition, mathematics, visualization, Python implementation, evaluation and practical application.

08

Autoencoders & Variational Autoencoders

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Concept, intuition, mathematics, visualization, Python implementation, evaluation and practical application.

09

Transfer Learning and Generative AI

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Concept, intuition, mathematics, visualization, Python implementation, evaluation and practical application.

10

Few-Shot Learning

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Concept, intuition, mathematics, visualization, Python implementation, evaluation and practical application.

11

Active Learning

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Concept, intuition, mathematics, visualization, Python implementation, evaluation and practical application.

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