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10 Python Packages Revolutionizing Data Science Workflow

Marktechpost

In the vast world of data science, countless tools are available to help analysts and researchers make sense of data and build powerful machine-learning models. Here are the ten great Python packages that can significantly enhance your workflow. With just one line of code, one can start analyzing the data.

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Building a Deep Learning Image Classifier with Keras using R

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction An important application of deep learning and artificial intelligence is image classification. The algorithm recognizes these qualities and utilizes them to distinguish between images and assign […].

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Top Data Science Books to Read in 2024

Marktechpost

As we enter 2024, the field of data science continues to evolve rapidly, making it essential to stay updated with the latest knowledge and trends. Practical Statistics for Data Scientists This is a beginner-friendly book that covers the statistical concepts that are essential for the field of data science.

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Top Courses for Machine Learning with Python

Marktechpost

Additionally, Python has emerged as the primary language for various ML tasks. This article outlines the top ML courses in Python, offering readers the opportunity to enhance their skill set, transition careers, and meet the expectations of recruiters. and evaluating the same.

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Image Segmentation Algorithms With Implementation in Python – An Intuitive Guide

Analytics Vidhya

This article was published as a part of the Data Science Blogathon What is Image Segmentation? The post Image Segmentation Algorithms With Implementation in Python – An Intuitive Guide appeared first on Analytics Vidhya. Image Segmentation helps to obtain the region of interest (ROI) from the image.

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Mastering Mathematics For Data Science

Pickl AI

Summary: Mastering mathematics is crucial for excelling in Data Science. Overcoming challenges through practical applications, continuous learning, and resource utilisation is key to success. Introduction Mathematics plays a pivotal role in Data Science.

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Data science vs. machine learning: What’s the difference?

IBM Journey to AI blog

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? What is machine learning?