PyNet Labs

Introduction Machine Learning has significantly impacted modern technology, transforming organizational operations and decision-making processes. Its vast scope continues to expand, with applications varying from basic data analysis to predictive modeling. The use of ML is broad, covering almost every industry, including healthcare, finance, manufacturing, transport, and so on. However, as we know, any powerful technology…

Introduction Machine learning is a way for computers to learn and improve by using the information they receive. ML algorithms help solve various business problems, such as Regression, Classification, Forecasting, Clustering, and Associations. It is primarily categorized into four types, i.e., supervised learning, unsupervised learning, and Reinforcement learning. All these machine learning types use different…

Introduction As we move into 2025, artificial intelligence (AI) is becoming an essential part of many industries in India. Companies across the country are recognizing the potential of AI to improve their products, services, and overall business operations. From healthcare to agriculture and finance, AI is changing how businesses function and interact with customers. In…

Introduction AI is helpful in completing tasks for which human Intelligence is needed, including learning and reasoning, problem-solving, perception, and understanding language. Thus, over the years, AI capabilities have been improving day by day. A clear understanding of different types of Artificial Intelligence is important to define it and see what it is capable of…

Introduction Artificial intelligence (AI) and machine learning (ML) are used interchangeably when discussing subjects such as big data and predictive analysis. This confusion is relatively reasonable because AI and ML are usually considered the same. Yet, the two models are different in many aspects when we talk about factors such as methods & approaches, implementations,…