Machine learning
Introduction to Machine Learning in Mobile App Development Machine learning (ML) is a subset of artificial intelligence (AI) that enables systems to learn and improve from…
Deep learning
Introduction to Deep Learning Deep learning is a subset of machine learning that involves neural networks with three or more layers. These neural networks attempt to…
Natural language processing (NLP)
Introduction to Natural Language Processing (NLP) Natural Language Processing (NLP) is a subfield of artificial intelligence (AI) that focuses on the interaction between computers and humans…
Computer vision
Introduction to Computer Vision Computer vision is a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos,…
Robotics process automation (RPA)
Introduction to Robotics Process Automation (RPA) Robotics Process Automation (RPA) is a technology that allows businesses to automate repetitive tasks by using software robots or “bots.”…
Artificial intelligence (AI)
Introduction to Artificial Intelligence (AI) Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans….
Neural networks
Introduction to Neural Networks Neural networks are a subset of machine learning and are at the heart of deep learning algorithms. They are inspired by the…
Decision trees
Introduction to Decision Trees Decision trees are a powerful tool in the realm of mobile app development, particularly in the context of machine learning and data-driven…
Random forests
Introduction to Random Forests Random forests are an ensemble learning method used for classification, regression, and other tasks. They operate by constructing a multitude of decision…
Support vector machines (SVM)
Introduction to Support Vector Machines (SVM) Support Vector Machines (SVM) are a powerful set of supervised learning algorithms used for classification, regression, and outlier detection. They…