Why do we use normalization in machine learning?
In machine learning, preprocessing steps are essential for building efficient models. One such step is normalization, which ensures that all features are on a similar scale. This process bridges disparities in data ranges, such as values spanning from 154 to…
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Should i learn machine learning before ai
Understanding the relationship between machine learning and artificial intelligence is essential for anyone entering this field. Machine learning is a subset of AI, focusing on algorithms that improve through experience. Deep learning, a more advanced…
Why do we use normalization in machine learning?
In machine learning, preprocessing steps are essential for building efficient models. One such step is normalization, which ensures that all features are on a similar scale. This process bridges disparities in data ranges, such as…
Is deep learning part of machine learning?
Artificial intelligence (AI) serves as the foundation for modern technological advancements. Within this broad field, machine learning acts as a specialized branch. It focuses on using algorithms to analyze data and make predictions. Deep learning,…
What type of analytics uses statistical and machine learning techniques?
Predictive analytics stands out as a powerful tool in the world of data-driven decision-making. By combining statistical techniques with machine learning and AI, it forecasts future outcomes with remarkable precision. This approach is widely used…