Close

Supervised Learning

Supervised learning is a machine learning approach where the algorithm is trained on a labeled dataset, with input-output pairs, allowing it to learn the mapping between inputs and corresponding outputs, enabling the model to make predictions or classifications on new, unseen data based on the learned patterns from the training set.

Google AI Open Sources Vizier: A Standalone Python Package Designed For Managing And Optimizing Machine Learning Experiments At Scale

Google AI Open Sources Vizier: A Standalone Python Package Designed For Managing And Optimizing Machine Learning Experiments At Scale

Google Open Source Vizier is a machine learning experimentation platform created by Google and made available as open-source software. It is designed to be used with Google’s cloud computing infrastructure, including products such as Google Cloud AI Platform and Google Kubernetes Engine, which provide the robust cloud computing capabilities required […]

Devamını Oku

Why TensorFlow for Python is dying a slow death

Why TensorFlow for Python is dying a slow death

The rise of alternative deep learning frameworks is making TensorFlow less popular. TensorFlow is a popular open-source software library for numerical computation using data flow graphs. It is used for machine learning, data science, and artificial intelligence applications. TensorFlow was developed by Google and released in 2015. Reasons for TensorFlow’s […]

Devamını Oku

5 Machine Learning Algorithms Commonly Used in Python

5 Machine Learning Algorithms Commonly Used in Python

Machine learning algorithms are pivotal in extracting knowledge from data and generating predictions. Python, a popular programming language, offers various widely used learning algorithms that address multiple challenges. These algorithms extract patterns and correlations from data, enabling computers to reason and predict future outcomes. Here’s a summary of five renowned […]

Devamını Oku