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Top 10 Data Science tools for 2024

Pickl AI

Top tools used in Data Science Seaborn Functionality: Seaborn is a Python data visualisation library based on Matplotlib. Applications: It is used for exploring and understanding data through various visualisation techniques such as scatter plots, bar plots, and heat maps. It provides tensor computations with strong GPU acceleration.

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Navigating the 2024 Data Analyst career growth landscape

Pickl AI

Summary: The blog delves into the 2024 Data Analyst career landscape, focusing on critical skills like Data Visualisation and statistical analysis. It identifies emerging roles, such as AI Ethicist and Healthcare Data Analyst, reflecting the diverse applications of Data Analysis.

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How have data science methods improved over the years?

Dataconomy

Let’s discover how a qualification such as a Master of Data Science from RMIT can be a transformative experience for a data professional, and how it can drive positive innovation and change through your business. Business analysts use a mix of modern-day analytics tools to understand processes and provide meaningful recommendations.

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Principal Component Analysis in Machine Learning: A Comprehensive Guide

Pickl AI

It has various applications including data compression, feature extraction, visualisation, etc. PCA is extensively used for noise reduction, data preprocessing, and visualisation. It also includes data a visualisation, noise reduction, change detection, atmospheric correction and hyperspectral data.

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Data Intelligence empowers informed decisions

Pickl AI

Data Intelligence takes that data, adds a touch of AI and Machine Learning magic, and turns it into insights. Data Analysis involves inspecting, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making. 9,43,649 Business acumen, Data Visualisation tools (e.g.,

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Supervised learning vs Unsupervised learning

Pickl AI

Furthermore, in unsupervised learning, the algorithm is given a dataset with only input features and is asked to discover underlying patterns and relationships in the data. Association: a technique to discover relationships between variables in a dataset. Comparatively, no input is taken by unsupervised learning.

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How front-end development can improve Artificial Intelligence

Explosion

In this post I’ll discuss three ways in which front-end development can improve AI technology: by improving the collection of annotated data, communicating the capabilities of the technology to key stakeholders, and exploring the system’s behaviours and errors. Thus, front-end development is actually a key part of developing AI technologies.