Data Science Dojo

AUGUST 11, 2023

They can be used to test hypotheses, estimate parameters, and make predictions. Machine learning is a field of computer science that uses statistical techniques to build models from data. Unsupervised learning models, like clustering and dimensionality reduction, aid in uncovering hidden structures within data.

Data Science 195

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Data Science Dojo

JULY 3, 2024

Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning. Statistics : Fundamental statistical concepts and methods, including hypothesis testing, probability, and descriptive statistics.

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Pickl AI

JULY 25, 2023

These models may include regression, classification, clustering, and more. Skills and Tools of Data Scientists To excel in the field of Data Science, professionals need a diverse skill set, including: Programming Languages: Python, R, SQL, etc. Statistical Analysis: Hypothesis testing, probability, regression analysis, etc.

Data Engineering 52

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Pickl AI

NOVEMBER 5, 2024

Data Science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It combines various techniques from statistics, mathematics, computer science, and domain expertise to interpret complex data sets.

Data Science 52

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Pickl AI

MAY 30, 2024

Understanding Data Science Data Science involves analysing and interpreting complex data sets to uncover valuable insights that can inform decision-making and solve real-world problems. It combines elements of statistics, mathematics, computer science, and domain expertise to extract meaningful patterns from large volumes of data.

Data Analysis 52

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Pickl AI

SEPTEMBER 12, 2024

A/B Testing: A statistical method for comparing two versions of a variable to determine which one performs better. Artificial Intelligence (AI): A branch of computer science focused on creating systems that can perform tasks typically requiring human intelligence.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Pickl AI

MAY 29, 2024

By the end of this blog, you will feel empowered to explore the exciting world of Data Science and achieve your career goals. Knowledge of supervised and unsupervised learning and techniques like clustering, classification, and regression is essential. This skill allows the creation of predictive models and insights from data.

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