Machine Learning & Deep Learning

Machine Learning & Deep Learning

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About Course

Machine Learning (ML) and Deep Learning (DL) are branches of artificial intelligence (AI) that concentrate on empowering systems to acquire knowledge from data and generate forecasts or choices without explicit programming.

Overview of Machine Learning

ML encompasses the creation of algorithms and models, enabling computers to recognize patterns and make data-driven decisions. It encompasses a range of techniques, including supervised learning, unsupervised learning, and reinforcement learning.

Overview of Deep Learning

Deep Learning (DL) is a branch of Machine Learning (ML) that places emphasis on employing neural networks with multiple layers to acquire intricate data representations. The term “deep” refers to the depth of the network, indicating the numerous layers involved .


Machine Learning
  1. Automated Decision Making
  2. Interpretability And Explainability
  3. Continuous Evolution
  4. Versatility Across Domains
  5. Supervised Learning And Labeled Data
Deep Learning
  1. Hierarchical Representation Learning
  2. Scalability To Big Data
  3. Non-Linearity And Flexibility
  4. Robustness To Variability And Noise
  5. State-Of-The-Art Performance
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