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Introduction to making machine
ML is the study of computer algorithms that automatically improve through experience. It is closely related to statistics, which focuses on making predictions using computers. It is seen as a subset of AI.
The term ML was coined in 1959 by Arthur Samuel, an American and pioneer in the field of computer gaming, AI.
Rules related to legislators
- Machine Learning with Software Engineers
- Image recognition with ml
- Natural Language Processing with M.L.
- ML Deep Learning Applied to Industry
- Applied ML Industry Case Study
An Overview of Data Processing and NUMPY Libraries
In the data manipulation section, you will learn how to manipulate data using poppy.
The process of converting raw data into meaningful forms is called dataprocessing.
Effect of apathy
It is a python library that performs a number of operations on numerical data and transforms into a useful form known as Nempy.
Numpy arrays are basically just python lists with added features. You can easily convert a python list into a NumPy array using the np.array function.
We give numbered arrays via the implicit astype function. This returns the array to the newtype.
- When we do not want to place a numeric array in a particular index.
- We can use np.nan to act as a placeholder.