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Meta Learning

Meta-learning is using the meta-data of previously acquired and categorized learning processes to tackle new learning tasks not encountered before by the machine learning algorithm. A meta-learning task is learning...

Python Machine Learning

Python is easy. Machine Learning can get easy with Python. Relatively speaking, Machine Learning Models are easier to develop in Python. It also supports rich libraries with Machine Learning Algorithms...

ML Model with Automated Creation

This week we will discuss about how to automate the creation of algorithms for machine learning models training. Just like previous weeks, optimization of training will not be the main...

AI Training at Scale

The term refers to scalability in expanding image dataset to be used in Machine Learning training process, and expansion or retraining of the machine learning model in scale with minimal...

Empower Your Training with SERP Data

This week we'll talk about empowering your training with SERP data, and automatic testing of trained models.

Using a Customizable Dictionary to Automatically Train a Network with FastApi, PyTorch, and SerpApi

This week we will reshape the structure for training commands, data loading, and training to make everything completely efficient, and fully customizable.