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Data science is a category that covers a wide range of topics related to the analysis and interpretation of data. This category may include keywords such as data mining, machine learning, artificial intelligence, statistical analysis, data visualization, big data, predictive modeling, and data engineering.
In this category, you can find articles, resources, and insights related to data science, including best practices, tools, and techniques used by data scientists. Whether you are a beginner or an experienced practitioner, this category can help you stay up-to-date with the latest trends and techniques in data science. You can also find tutorials, case studies, and examples of real-world applications of data science in various fields, such as healthcare, finance, marketing, and more.
This post “Introduction to Time Series”, will explain a popular type of data which is widely used for extracting business insights. Time Series (TS) A time series (TS) is a collection of observations made sequentially over a period of time. In other words, the data on any characteristic collected with respect to time over a … Read more
This post “Kurtosis for a data distribution” will certainly help you explore a data distribution. A distribution is simply a collection of data, or scores, on a variable. Usually, these scores are arranged in order from smallest to largest and then they can be presented graphically. Page 6, Statistics in Plain English, Third Edition, 2010. The … Read more
This post, “Machine Learning Landscape 101”, will answer the following questions: The next post, “Machine Learning Landscape 102“, will answer the following questions: Together, these two posts offer a solid foundation for anyone looking to gain a deeper understanding of machine learning and its various applications. Let’s start. Machine Learning More engineering-oriented definition: A computer … Read more
When you start your journey to master AI, you encounter a term called model. What are models in AI? In AI, we talk about building models, which are shaped by cost functions to measure error. So what does this all mean? What are models? Models are an estimation of how reality works. These are not just part … Read more
A lack of symmetry is called skewness for data distribution. In other words, a departure from symmetry is called skewness. A distribution is simply a collection of data, or scores, on a variable. Usually, these scores are arranged in order from smallest to largest and then they can be presented graphically. Page 6, Statistics in … Read more