Machine Learning Model Interpretability and Explainability
In recent years, machine learning has become an increasingly important tool in data analysis, and its applications have been widely adopted across industries. However, one issue that has arisen in the adoption of machine learning models is their lack of interpretability and explainability. In this article, we will explore the importance of machine learning model […]
A Powerful Guide to Start With Reinforcement Learning
Reinforcement Learning is a type of machine learning where an agent learns to make decisions by performing actions in an environment to maximize a reward signal. The agent receives feedback in terms of rewards or punishments for its actions and updates its policy accordingly to achieve the goal. Where is Reinforcement Learning Used? Reinforcement learning […]
A deep dive into the latest deep learning architectures
Deep Learning Architectures – A Deep Dive Deep learning is a subset of artificial intelligence that has recently gained significant traction. It uses artificial neural networks to enable computers to learn from vast amounts of data, without being explicitly programmed. As a result, deep learning has made significant advancements in areas such as computer vision, […]
How To Deal With Missing Data in Machine Learning?
What is Missing Data in Machine Learning? Missing data in machine learning refers to cases where data values for one or more variables are not available for a certain sample or observation. This can occur for various reasons, such as measurement errors, data collection problems, or participants refusing to provide information in a survey. When […]
The Role of AI in Solving Real-World Problems in 2023
Artificial Intelligence (AI) has the potential to solve a wide range of real-world problems by analyzing vast amounts of data and making predictions or decisions. In this article, we’ll discuss the role of AI in solving the real world problems. One of the main ways AI solves real-world problems is through machine learning, which is […]
A Comparison of 10 Popular Machine Learning Algorithms
In machine learning, an algorithm is a set of instructions for a computer to learn from a dataset and make predictions or decisions. Algorithms are used to train models on a given dataset, and then use those models to make predictions on new, unseen data. There are several types of machine learning algorithms, including supervised […]
A Beginner’s Guide to Natural Language Processing (NLP)
NLP stands for Natural Language Processing. It is a field of artificial intelligence that focuses on the interaction between computers and humans using natural language. NLP techniques are used to analyze, understand, and generate human languages, such as speech and text. Some examples of NLP tasks include speech recognition, language translation, sentiment analysis, and text […]
What is Deep Learning & How To Get Started With It?
Deep Learning is a subset of Machine Learning that uses neural networks with multiple layers to learn from data. These layers learn increasingly abstract representations of the input data, allowing the network to learn complex patterns and make predictions or decisions. Deep Learning is used in many applications such as image recognition, natural language processing, […]
The Future of Data Science: Next 50 Years Are Exciting
The year is 2022, and you can very much say that we’re already living in the future. The innovation in the field of technology has given birth to many revolutionary fields like Data Science, Machine Learning, and Artificial Intelligence. As data science is definitely the buzzword here in 2022, what is the future of data […]
History of Data Science: A Glorious Trip Back in Time
Did you ever think about how old this field is and the history of data science? The term “Data Science” is the study of anything that is related to the data. With the emergence of the internet, the amount of data produced has been more than expected in the past few years. Did data science […]