There is a buzz among the students regarding the terms like deep learning and machine learning. Machine learning is a subset of Artificial intelligence and Deep learning is a subset of Machine learning. Although there are many differences between them, many students get confused. This is not wrong to get confused because both these technologies are from a similar field. Choosing a career in either of these fields needs a clear vision and understanding of the topic. In this article, we will discuss the various aspects where machine learning and deep learning are similar and where they are different. What ... Read More

There is a buzz among the students regarding the terms like machine learning and big data. Machine learning and Big Data are both technologies are derived from Data Science. Although there are many differences between them, many students get confused. This is not wrong to get confused because both these technologies are from a similar field. Choosing a career in either of these fields needs a clear vision and understanding of the topic. In this article, we will discuss the various aspects where machine learning and big data are similar and where they are different. Apart from this, we will ... Read More

Nowadays there are more intelligent recommendation systems, AI embedded cameras on smartphones for auto-focus and auto-face detection, advanced chatbots, and ai voice assistants like Siri, Alexa, and Google Assistant. People have started creating apps like ChatGPT, which can handle advanced problems like interviews. However, fascinating this may seem but to deploy an app with such capabilities one needs to have in-depth knowledge of machine learning and deep learning algorithms, with access to a huge variety of resources and datasets, which sometimes is impossible to attain by single individuals. So a proper group of people is needed to access and manage ... Read More

As the demand for machine learning is increasing in various fields like corporate offices, hospitals, server-side services, traffic, manufacturing, and many more fields, it is important to deliver the best solutions for any problem related to machine learning. This will alternatively increase the efficiency of machine learning models. The design patterns are a way in which the various stages and steps to train machine learning models are recorded so that it can be used to solve a problem with much efficiency and less error. In this article, we will see the various machine learning design patterns. But before that let ... Read More

The advertising sector is constantly transforming. Technology advancements such as artificial intelligence (AI), improved targeting, and dynamic creativity are transforming how customers interact with companies. Companies gain from improved analytics and greater knowledge of how their advertising works. Machine learning may remove the guesswork from profiting on massive volumes of data by delivering insights that can be used in AI-powered advertising strategies. In advertising, machine learning is a process in which technology receives information, analyzes it, and then formulates a conclusion that might better a task or process. This technology's findings may be used for audience targeting, personalization, media ... Read More

As cloud computing has become more common, it has led to the creation of many new things. Many facets of contemporary life have changed due to cloud computing, especially the nature of the modern workplace and how employees engage with one another there. As a result of the unwanted plague, many businesses have switched to cloud-based services to handle output problems. Cloud computing is one of the newest IT tools with the fastest expansion rate. Although technology has existed for over ten years, its appeal has recently soared. By 2023, cloud computing will overtake all other technologies based on current ... Read More

Artificial Intelligence is everywhere now. The Web 2.0 revolution has given us the internet, and Web 3.0 tries to decentralize it, improving security. But the next revolution would be based upon the power of Artificial Intelligence and Machine Learning based solutions. Perfect examples can be found in self-driving cars like Tesla and self-suggesting language models like ChatGPT. This powerful technology is the future, but how it helps cloud technology to grow? Let us see what happens when we unleash the power of AI for cutting-edge cloud-based ML solutions. How Machine Learning Works with Cloud? Machine learning solutions can be directly ... Read More

Introduction Machine learning is a common topic in the technology and business world. Machine learning is a technology that processes the raw data, provides helpful information, including data prediction and analysis, and releases final statistics reports. In short, ML helps process the data and produces reports to achieve the set goals. It uses various high-end algorithms and paradigms to engage with the solutions. Artificial Intelligence is the fastest-growing technology under which machine learning and deep learning work. In this article, you will see the top 7 hackathons and technical events of machine learning, that are organized worldwide. This includes ... Read More

Shattering is a key notion in machine learning that refers to a classifier's capacity to accurately distinguish any arbitrary labeling of a group of points. Strictly speaking, a classifier breaks a collection of points if it can divide them into all viable binary categories. The greatest number of points that a classifier is capable of shattering is specified by the VC dimension, which measures a classifier's ability to classify data. For practitioners of machine learning, it is essential to comprehend the idea of shattering and the VC dimension. In this post, we will closely look at shattering a set points ... Read More

The Bayes Theorem, a cornerstone of probability theory, enables the computation of conditional probabilities. The idea behind the theorem is that opinions or previous knowledge change when new information comes to light. The Bayes Theorem has grown in significance in the area of machine learning because it enables the inclusion of previous information into statistical models, producing predictions that are more precise. Application areas for the Bayes Theorem in machine learning include spam detection, medical diagnosis, picture recognition, and natural language processing. Bayes Theorem has developed into a crucial tool for creating precise and effective machine learning models by offering ... Read More