Flipboard

JUNE 13, 2025

Its extensive libraries, such as TensorFlow, PyTorch, and Scikit-learn, streamline the development of machine learning and deep learning models. R: A powerful tool for statistical analysis and data visualization, R is particularly useful for exploratory data analysis and research-focused AI applications.

Artificial Intelligence 73

Artificial Intelligence Artificial Intelligence Exploratory Data Analysis Machine Learning 73

Pickl AI

APRIL 2, 2024

Machine Learning: Subset of AI that enables systems to learn from data without being explicitly programmed. Supervised Learning: Learning from labeled data to make predictions or decisions. Unsupervised Learning: Finding patterns or insights from unlabeled data.

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52

Pickl AI

AUGUST 9, 2024

Big Data and Machine Learning The intersection of Big Data and Machine Learning is a critical area of focus in a Big Data syllabus. Students should learn how to leverage Machine Learning algorithms to extract insights from large datasets. js for creating interactive visualisations.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

APRIL 26, 2024

This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52