In the realm of machine learning, there are two main branches: supervised learning and unsupervised learning. While supervised learning relies on labelled data for model training, unsupervised learning takes on the challenge of working with unlabeled data, and autonomously uncovering patterns, relationships, and structures within the data.… Read More Unsupervised Learning: Exploring the Enigmas of Unlabeled Data
WiFi sensing has a wide range of applications, from home automation to healthcare, and it offers several advantages over other sensing technologies. In this article, we will explore the applications, advantages, and future of WiFi sensing.… Read More WiFi Sensing: Applications, Advantages, and Future
Machine learning and data science engineering are two rapidly growing fields that are revolutionizing the way we analyze and make decisions using data. With the increasing amount of data being generated by businesses, governments, and individuals, there is a growing demand for professionals with the skills and knowledge to extract meaningful insights from this data.… Read More Machine Learning and Data Science Engineering
Deep learning is a subfield of machine learning that involves the use of artificial neural networks to recognize patterns in data. It has become popular in recent years due to its ability to achieve state-of-the-art results in tasks such as image and speech recognition. There are several different types of deep learning methods that can… Read More Popular Deep Learning Techniques
When Internet of Things applications are in question, it is quite challenging to address a particular application. Any device or application that sends data over the internet is considered an IoT application. Thus, it is almost impossible to pick one without distracting the main topic. This is why we have compiled some of the most… Read More Most Useful Applications of Internet of Things
Nowadays, these two technologies are dominating the entire world. Machine learning (ML) and the Internet of Things (IoT) systems are becoming available in almost all systems, devices, or electronic hardware we are using. From applications to hardware, these two technologies provide great convenience in our lives. Well, how about the combination of these two technologies?… Read More Benefits of Using Machine Learning in IoT Systems
The IoT platform serves as a bridge between your devices to connect to each other and ensures communication between the machines. While IoT refers to software and hardware nodes, the IoT platform provides the required infrastructure for the operation of this software.… Read More Best Online IoT Development Platforms in 2022
YOLO is one of the pre-trained deep learning models that can be used in real-time video or image recognition. It has a very high success rate compared to its competitors and it is completely free. … Read More YOLO – Real-Time Object Detection and Image Classification
Artificial neural networks (ANNs) is one of the most commonly used machine learning methods due to their outstanding success with accurately operating on various data types, and their high prediction performance. Moreover, deep learning, the most popular machine learning technique in the recent years, is also a type of ANN which consists of multiple layers… Read More Deep Learning Applications with Python, Keras and TensorFlow
Introduction Before we introduce the theory, terminology and methods of machine learning, let’s start by explaining what is machine learning and what isn’t. The categorisation of machine learning can often be misleading. ML is undeniably one of the most influential and powerful technologies in the modern world. There is no doubt, it will continue to… Read More What is Machine Learning
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