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Machine

Learning

This course provides a broad introduction to machine learning, the field of study that gives computers the ability to learn from data without being explicitly programmed.

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Course Detail

The course focuses on enabling computers to process, analyze, and generate human language in both text and speech forms.

Course Features

  • Decision Making Systems
  • Supervised Machine Learning
  • Unsupervised Machine Learning
  • Neural Networks

Semantic Words

Data Lineage

Semanticwords is an online e-learning platform focused on topics like Natural Language Processing (NLP), semantics, language, the Semantic Web, AI, and related fields..

  • 20 hours on-demand video
  • Full Lifetime Access
  • Access on Mobile and TV
  • Certificate of Completion

Course Content

11 sections • 28 lecture • 19h 33m total length

Covers the basic concepts of machines learning from data and making predictions without explicit programming.

Focuses on preparing raw data for analysis through cleaning, transformation, and normalization. Includes handling missing values, feature selection, and splitting datasets for training and testing.

Deals with learning from labeled data to make predictions or classifications. Explores common algorithms like regression, decision trees, and support vector machines.

Involves discovering patterns and structures in unlabeled data. Covers clustering, dimensionality reduction, and anomaly detection techniques.

Teaches how to measure model performance using appropriate evaluation metrics. Focuses on improving models through validation techniques and parameter tuning.

Introduces the structure and function of artificial neural networks. Explores deep learning concepts and their applications in areas like image and speech recognition.

Explains how agents learn optimal actions through rewards and penalties. Covers basic concepts such as environments, policies, and exploration strategies.

Provides hands-on experience in building machine learning models using programming tools. Emphasizes applying algorithms to real datasets and interpreting the results.

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  • I’ve learned so much from this platform—clear explanations, real‑world exercises, and expert instructors make mastering NLP, data, and linguistics both fun and rewarding..
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