Author Archives: Pranjal Ostwal

Data cleaning is one of the most important parts of machine learning. It plays an important role in building a machine learning model. Data quality is a significant aspect to train the ML model. Inaccurate data can have an impact on results. Data quality problems can occur anywhere in information systems. A technique that helpsContinue reading “Process of Data Cleaning for Machine Learning”

A number of today’s new motor vehicles have technology that helps drivers avoid drifting into adjacent lanes or making unsafe lane changes, or that warns drivers of other vehicles behind them when they are backing up, or that brakes automatically if a vehicle ahead of them stops or slows suddenly, among other things. These andContinue reading “What are different levels of Autonomous Driving?”

Voice assistants are devices/apps that respond to humans using voice recognition technology, natural language processing, and AI. The device uses technology to synthesis the user’s message, break it down, evaluate it, and respond with a logical response. Unlike chatbots, voice bots require added speech recognition and speech synthesis abilities. Voice bots have to understand customerContinue reading “AI-powered Voice bots: Importance and Training”

Space exploration has long sparked the interest of scientists and governments all over the world since it contains the secret to mankind’s origins as well as many other marvels of the universe. Imagine how easy it would be for scientists and explorers to attain their goals and how it would affect our lives if weContinue reading “Role of AI and Data Annotation for Space Exploration”

Fashion has always been at the forefront of innovation from the invention of the sewing machine to the rise of e-commerce. Like tech, fashion is forward-looking and cyclical. Fashion technology is defined as any cutting-edge technology that develops cutting-edge tools for the fashion industry, whether to boost production or consumption. Depending on the technology’s function,Continue reading “Impact of AI and Data Annotation in Fashion Industry”

Machine learning is a type of artificial intelligence that trains computers to think as humans do: by learning from and improving on previous experiences. Machine learning can automate almost any operation that can be accomplished using a data-defined pattern or set of rules. Machine Learning is a branch of study that focuses on teaching computerContinue reading “Machine Learning Model: Types ,Data Requirement and Preparation”

Vehicle safety is one of the major areas in which automakers are making considerable investments. Automobile manufacturers have created a number of technologies that can aid in the prevention of traffic accidents over the years. Advanced Driver Assistance Systems are technologies that automate, facilitate, and improve vehicular systems to assist drivers in safe and betterContinue reading “Significance of Data Annotation for ADAS applications”

Workers at construction and mining sites deal with a variety of duties that necessitate surveillance and supervision on a daily basis. They must also ensure that their construction tasks are carried out safely on site. While artificial intelligence and augmented reality are altering the business, computer vision and data annotation have the potential to fixContinue reading “Data Annotation to enable AI in Construction and mining”

As we approach 2021, we can observe how far the world of sports has progressed. While statistics have always played an important role in sports, artificial intelligence (AI) has had a huge impact on audience engagement, game strategy, and the way games are played today. We can see that data analytics and artificial intelligence areContinue reading “AI and Data Annotation Use cases for Sports”

One of the most intriguing technologies on the globe is the machine learning algorithm, which solves problems without requiring precise instructions. To work, machine learning algorithms necessitate a large amount of data. It’s difficult to determine what causes an algorithm to perform poorly when working with millions or even billions of photos or records. WithContinue reading “What is Training Data for Machine Learning?”