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Produced By: Analytics Drift
In this course, you will learn to identify various components and design an ML production system end-to-end.
The syllabus of this course includes the basics of AI, building API projects, and AI in businesses and society. The entire duration of this course is 12 hrs.
Supervised Machine Learning: Regression and Classification
This course teaches how to build ML models in Python using popular ML libraries like Numpy and scikit-learn.
This course teaches you to build and train the neural network with TensorFlow to perform multi-class classification.
Unsupervised Machine Learning: Recommenders, Reinforcement Learning
This course teaches you unsupervised machine learning techniques like clustering and anomaly detection.
Being the first step in the deep learning specialization, it teaches you the foundational concepts of neural networks and deep learning.
With this course, you can learn the best practices to train and develop test cases and analyze variance for building deep learning applications.
This course teaches you to build successful machine learning projects and practice decision-making.
With this course, you will understand how computer vision has evolved and become popular with its exciting applications, like face recognition, and more.
In this course, you will learn sequence models and their applications, like music synthesis, chatbots, machine translation NLP, and speech recognition.