Papers by Adejumobi Kehinde
ResearchGate, 2019
Machine learning is a branch of artificial intelligence that allows computer systems to learn dir... more Machine learning is a branch of artificial intelligence that allows computer systems to learn directly from examples, data, and experience.It has many algorithms and unfortunately we are unable to select the right algorithm for the right problem.Following are the factors which help us to choose the correct algorithm Factors help to choose algorithm 1-Type of algorithm 2-Parameterization 3-Memory size 4-Overfitting tendency 5-Time of learning 6-Time of predicting
Information is communicated in various forms, including voice, image, and text—the primary medium... more Information is communicated in various forms, including voice, image, and text—the primary medium of communication among humans. For artificial intelligence (AI) to reach its goal of mimicking human intelligence, it must interpret these human communication mediums. Achieving this requires a system capable of understanding human language, or at least capable of processing it in a way that mimics comprehension. This ambition led to the creation of Natural Language Processing (NLP), a field within AI focused on enabling machines to interpret and interact with human language.
Machine learning is an effective method for training computers to make predictions or classificat... more Machine learning is an effective method for training computers to make predictions or classifications, but it has its limits-especially when it comes to handling complex or unstructured data. Traditional machine learning models struggle with such data because they rely on feature engineering, where humans manually define the characteristics the model will use to make decisions. This is where deep learning comes in. For instance, imagine trying to identify whether an animal is a cat, dog, or cow. You'd likely rely on specific details such as the shape of the eyes, the texture of the fur, or the presence of horns or hoofs. Similarly, a deep learning model can automatically learn these intricate details to make accurate identifications without requiring manual input for each feature.
Machine Learning refers to the process of training machines with historical data to recognize pat... more Machine Learning refers to the process of training machines with historical data to recognize patterns using various algorithms. These algorithms empower systems to make predictions or classifications without explicit programming. This ability to "learn" from data drives the growing application of ML across a wide range of fields, from healthcare to finance. Machine learning algorithms are the core foundation of Artificial Intelligence today, and they are used in various applications such as recommendation systems, fraud detection, weather forecasts, and many others.
Machine Learning (ML) is revolutionizing industries by enabling systems to learn from data and ma... more Machine Learning (ML) is revolutionizing industries by enabling systems to learn from data and make informed decisions without explicit programming. This paper explores the fundamental principles of Machine Learning, including its methods-supervised, unsupervised, semi-supervised, and reinforcement learning.
In recent years, as technology has rapidly advanced, scientists and engineers have been inspired ... more In recent years, as technology has rapidly advanced, scientists and engineers have been inspired to explore whether machines can think. The answer to this question is still up for debate. While there is no concrete evidence to prove that machines can think, they are now capable of solving complex problems. So, what exactly is Artificial Intelligence? Intelligence is the capacity to reason, learn, understand, solve problems, and process information. Artificial Intelligence refers to the ability of a machine or computing device to exhibit intelligent behavior. Artificial Intelligence has become an essential component of various systems today, assisting multiple industries and sectors, from academia to healthcare. AI is currently a driving force behind societal and economic transformation. It is reshaping industries, enhancing lives, and addressing global challenges. Its potential to revolutionize nearly all aspects of the modern world is immense.
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Papers by Adejumobi Kehinde