Course Details

Machine Learning


Last Update:

February 22, 2023

Machine Learning

About Course

Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values. Artificial intelligence (AI) is the ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans. Machine learning is a crucial part of the expanding world of data science. It involves training algorithms with statistical methods to make predictions or classifications and discover important insights in data mining projects. These insights play a significant role in decision-making for applications and businesses, aiming to positively influence key growth metrics.

As big data keeps getting bigger, the need for data scientists is on the rise. These professionals play a vital role in identifying the most important business questions and figuring out the data needed to answer them. In essence, they help businesses make informed decisions in the face of expanding and complex datasets.

About Course




Course Content

Learning Outcomes

  • Understanding of AI and Machine Learning
  • · Ability to identify real-life problems that can be solved through Machine Learning
  • Ability to perform feature engineering and pre-processing steps
  • Understanding of Machine learning algorithms
  • Skill to implement and build machine learning models with python and its packages
  • Understanding of model evaluation and visualization techniques.
  • Ability to apply Machine Learning to Images
  • Attain a basic Understanding of Deep Learning and its implementation

Introduction to Machine Learning

Exploring and using data sets

Supervised vs. unsupervised learning

Neural Networks and NLP

Applied Machine Learning and Computer Vision

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