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10 Must-Have AI Engineering Skills in 2024

Data Science Dojo

For example, predictive maintenance in manufacturing uses machine learning to anticipate equipment failures before they occur, reducing downtime and saving costs. Deep Learning Deep learning is a subset of machine learning based on artificial neural networks, where the model learns to perform tasks directly from text, images, or sounds.

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Data Scientist Job Description – What Companies Look For in 2025

Pickl AI

Machine Learning & AI: Hands-on experience with supervised and unsupervised algorithms, deep learning frameworks (TensorFlow, PyTorch), and natural language processing (NLP) is highly valued. Data scientists in India use a broad toolkit tailored to local industry needs: Programming: Python, R, SQL.

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The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

Pickl AI

Proficient in programming languages like Python or R, data manipulation libraries like Pandas, and machine learning frameworks like TensorFlow and Scikit-learn, data scientists uncover patterns and trends through statistical analysis and data visualization. Big Data Technologies: Hadoop, Spark, etc.

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Top 15 Data Analytics Projects in 2023 for beginners to Experienced

Pickl AI

Descriptive Analytics Projects: These projects focus on summarizing historical data to gain insights into past trends and patterns. Examples include generating reports, dashboards, and data visualizations to understand business performance, customer behavior, or operational efficiency. ImageNet).

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Data Science in Healthcare: Advantages and Applications?—?NIX United

Mlearning.ai

However, data scientists in healthcare have employed deep learning technologies to enable easier analysis. For example, deep learning algorithms have already shown impressive results in detecting 26 skin conditions on par with certified dermatologists.