Remove Artificial Intelligence Remove Cross Validation Remove Data Mining
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Machine Learning Models: 4 Ways to Test them in Production

Data Science Dojo

Here’s a step-by-step guide to deploying ML in your business A PwC study on Global Artificial Intelligence states that the GDP for local economies will get a boost of 26% by 2030 due to the adoption of AI in businesses. It is widely used for data mining, analysis, and machine learning tasks.

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Artificial Intelligence Using Python: A Comprehensive Guide

Pickl AI

Summary: This guide explores Artificial Intelligence Using Python, from essential libraries like NumPy and Pandas to advanced techniques in machine learning and deep learning. It equips you to build and deploy intelligent systems confidently and efficiently.

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Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. Introduction In the rapidly evolving field of Data Science, understanding key terminology is crucial for Data Analysts to communicate effectively, collaborate effectively, and drive data-driven projects.

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List of Python Libraries for Data Science

Pickl AI

Scikit-Learn Scikit Learn is associated with NumPy and SciPy and is one of the best libraries helpful for working with complex data. Its modified feature includes the cross-validation that allowing it to use more than one metric. NumPy NumPy is one of the most popular Python Libraries for Machine Learning in Python.

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The Age of Health Informatics: Part 1

Heartbeat

Image from "Big Data Analytics Methods" by Peter Ghavami Here are some critical contributions of data scientists and machine learning engineers in health informatics: Data Analysis and Visualization: Data scientists and machine learning engineers are skilled in analyzing large, complex healthcare datasets.

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[Updated] 100+ Top Data Science Interview Questions

Mlearning.ai

Once the data is acquired, it is maintained by performing data cleaning, data warehousing, data staging, and data architecture. Data processing does the task of exploring the data, mining it, and analyzing it which can be finally used to generate the summary of the insights extracted from the data.

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Ever Wondered How Similar patterns are identified?

Mlearning.ai

Originally used in Data Mining, clustering can also serve as a crucial preprocessing step in various Machine Learning algorithms. The optimal value for K can be found using ideas like Cross Validation (CV). How would we tackle this challenge? K = 3 ; 3 Clusters. K = No of clusters.