Python Machine Learning: Learn Python in a Week and Master It. An Hands-On Introduction to Artificial Intelligence Coding, a Project-Based Guide with Practical Exercises (7 Days Crash Course, Book 2) by Computer Programming Academy

Author:Computer Programming Academy [Academy, Computer Programming]
Language: eng
Format: azw3
Published: 2020-02-06T16:00:00+00:00

The reuse and adaptation of portion of a previously trained neural network to a fresh but comparable assignment is defined as transfer learning.

Natural Language Processing

Day 5: Data Pre-processing and Creation of Training Dataset

Data Preprocessing is a “data mining technique, which is used to transform raw data into a comprehensible and effective format”. Real-world data tends to lack certain behaviors or trends and is almost always incomplete, inconsistent, and/or missing attribute values, flooded with errors or outliers. Preprocessing data is a proven way to solve such problems. This raw data or real data from the world cannot be readily transmitted through a machine learning model. Therefore, before feeding real world data to a machine learning model, we need to clean and pre-process it.

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