Understanding Data in Machine Learning
In this video, I break down the essentials of data in machine learning—covering everything from data collection, cleaning, and preprocessing to its pivotal role in training accurate models. Whether you're a beginner or looking to strengthen your understanding of how data powers machine learning algorithms, this video will guide you through the core concepts!
Watch now: https://youtu.be/9Q_r73M03vQ
Key Topics Covered:
Types of data used in machine learning
How to handle missing and inconsistent data
Data normalization and transformation techniques
Best practices for preparing data for model training
Perfect for anyone eager to dive deeper into AI and data science!
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#MachineLearning #DataScience #AI #DataPreparation #MLBasics #DataCleaning #DeepLearning #AIForBeginners #ML2024
Dear Rahul Jain ,
Data Processing is the task of converting data from a given form to a much more usable and desired form i.e. making it more meaningful and informative. Using Machine Learning algorithms, mathematical modeling, and statistical knowledge, this entire process can be automated. The output of this complete process can be in any desired form like graphs, videos, charts, tables, images, and many more, depending on the task we are performing and the requirements of the machine. This might seem to be simple but when it comes to massive organizations like Twitter, Facebook, Administrative bodies like Parliament, UNESCO, and health sector organizations, this entire process needs to be performed in a very structured manner. So, the steps to perform are as follows:
https://www.geeksforgeeks.org/ml-understanding-data-processing/
Regards,
Shafagat