Machine learning is a subset of Artificial Intelligence (AI) that enables computers to learn from data and make predictions without being explicitly programmed. If you're new to this field, we will provide you with a comprehensive understanding of machine learning, its types, algorithms, tools, and practical applications, and more
Machine learning can be broadly categorized into three types:
Supervised Learning: Trains models on labeled data to predict or classify new, unseen data.
Unsupervised Learning: Finds patterns or groups in unlabeled data, like clustering or dimensionality reduction.
Reinforcement Learning: Learns through trial and error to maximize rewards, ideal for decision-making tasks.
What will i learn?
Learning algorithms helps you solve real-world problems without or with minimal human intervention.
Requirements
A good wifi network, phone or Laptop
Frequently asked question
Mastering machine learning enables you to become a Data Scientist, AI/Machine Learning Engineer. It also helps to use ML algorithms for development or add skills to your business analysis toolbox.