mohd-faizy / machine-learning-scientist-with-python

Machine Learning - - Supervised, Unsupervised, and deep learning. Processing data for features, training models, assess performance, and tune parameters for better performance. In the process, you'll get an introduction to natural language processing, image processing, and popular libraries such as Spark and Keras.

CAREER TRACK - Machine Learning Scientist with Python

DEFINATIONs:

Machine learning is the art of defining the loss function suited to the dataset and then minimizing them.

McKinsey has defined machine learning as “algorithms that can learn from data without relying on rules-based programming.”

Machine learning is an application of AI that enables systems to learn and improve from experience without being explicitly programmed. Machine learning focuses on developing computer programs that can access data and use it to learn for themselves.

Types of Machine Learning

LEARNING TRACK

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1. Supervised Learning with scikit-learn

2. Unsupervised Learning in Python

3. Linear Classifiers in Python

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