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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.
In this blog “Federated Learning with Tensorflow: A Practical Guide with Example Code”, we will delve into the concept of Federated Learning and demonstrate how it can be implemented with Tensorflow. We will provide a comprehensive, step-by-step guide to building a Federated Learning model, accompanied by a detailed explanation of the code used throughout the … Read more
Federated learning is a way for devices to work together to improve machine learning without needing to share their data with each other or a central server. In today’s digital world, data is king. From the websites we visit to the products we purchase, everything we do online generates data that companies can use to … Read more
Time series prediction performance measures provide a summary of the skill and capability of the forecast model that made the predictions. There are many different performance measures to choose from. In this post, we will study MDA or mean directional accuracy of time series forecasts. Mean directional accuracy (MDA) MDA is a measure of the … Read more
Surely, this article “Normalization vs Standardization” will clear confusion to a great extent. Normalization and standardization are two common methods used to preprocess data in machine learning. Firstly, let’s look at the term Feature Scaling. Feature scaling is a method used to normalize the range of independent variables or features of data. Now, Let’s start. … Read more
The field of data science is growing rapidly, and with it, the demand for qualified data scientists. If you’re looking to enter the data science industry or advance your career, it’s important to be prepared for interviews. In this blog, we have compiled a list of 101 statistics interview questions that cover a wide range … Read more