AI With Python – Machine learning
Machine learning is a subfield of AI that allows developers to focus on the development of algorithm and models that enable computers to learn and make predictions or decisions without being explicitly programmed.
There are four types of machine learning techniques:
Supervised Learning
In supervised machine learning, the algorithm is trained on a labeled dataset, where each input is paired with its corresponding output. The application includes classification and regression tasks.
Regression Algorithms
Classification Algorithm
Unsupervised Learning
In unsupervised machine learning, the algorithm is provided unlabeled data and is tasked with finding patterns or relationships within it. The goal of the algorithm is to inherent structures or groups in the data. The application of unsupervised learning includes clustering and dimensionality reduction.
Clustering Algorithms
Dimensionality Reduction
Reinforcement Learning
In reinforcement learning, the algorithm learns by interacting with an environment and receiving feedback in the form of rewards or penalties. The goal of the algorithm is to discover optimal strategies or actions to maximize cumulative rewards over time. The application includes game playing, robotics, autonomous systems. The popular reinforcement learning algorithms are:
Despite the success of machine learning, there are several limitations that led to the development and adoption of deep learning. The key limitations of machine learning are:
- ML models rely on handcrafted features and their performance is limited to quality and relevance of these features. So, extracting informative features is challenging.
- ML algorithms struggle with high dimensional and unstructured data types like images, audio and text.
- ML models are limited in their capacity to model nonlinear and complex relationships.
AI With Python Tutorial
In this AI with Python tutorial, you’ll explore the fundamental and advanced concepts of artificial intelligence (AI) using the Python programming language. Whether you’re a complete beginner or an experienced professional, this tutorial is tailored to meet your learning needs, offering a step-by-step approach to mastering AI techniques with Python.
From understanding basic concepts to exploring advanced algorithms and applications, this tutorial equips you with the essential skills and knowledge to dive into the exciting world of AI. Whether you’re looking your build your career in AI or enhance your existing skills, this tutorial provides a solid foundation for your AI journey.
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