Machine learning: a computer observes some data, builds a model based on the data, and uses the model as both a hypothesis about the world and a piece of software that can solve problems, According to the book ‘Artificial Intelligence, a modern approach’.
Machine learning is a division of artificial intelligence (AI) focused on computational programs that learn from experience and improve decision-making or predictive accuracy over time.
In this podcast, our focus will be to go through very basics concepts of machine learning along with the different methods of machine learning, for example, supervised learning, unsupervised learning, reinforcement learning, and Semi-supervised machine learning.
Machine learning is not a ‘Rule-Based Approach’ which was common in 1980
a modern machine learning approach is explained in this diagram:
You’ll Learn:
It’s a beginners guide to learn the basics of the ML
- What is machine learning?
- Machine learning methods
- Machine Learning Basic Concepts
Resources:
- How machine learning works?
- Book: Artificial intelligence, a modern approach
- Book: Foundation of ML
- Block box ML
- 14 Different Types of Learning in ML
- Deep Learning Courses
- Edx – Machine Learning
- Coursera
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