Pickl AI

AUGUST 9, 2024

Summary: A comprehensive Big Data syllabus encompasses foundational concepts, essential technologies, data collection and storage methods, processing and analysis techniques, and visualisation strategies. Fundamentals of Big Data Understanding the fundamentals of Big Data is crucial for anyone entering this field.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

FEBRUARY 17, 2025

This automation not only increases efficiency but also enhances the accuracy of data interpretation, allowing organisations to focus on more strategic tasks. Scalability Machine Learning techniques are designed to handle vast amounts of data, making them well-suited for big data applications. predicting house prices).

Machine Learning 52

Machine Learning Machine Learning Supervised Learning ML 52

Pickl AI

NOVEMBER 28, 2024

Unsupervised Learning Unsupervised learning involves training models on data without labels, where the system tries to find hidden patterns or structures. This type of learning is used when labelled data is scarce or unavailable. It’s often used in customer segmentation and anomaly detection.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Pickl AI

FEBRUARY 12, 2024

Unsupervised learning algorithms, on the other hand, operate on unlabeled data and identify patterns and relationships without explicit supervision. Clustering algorithms such as K-means and hierarchical clustering are examples of unsupervised learning techniques. What is cross-validation, and why is it used in Machine Learning?

Data Science 52

Data Science Machine Learning Cross Validation Machine Learning 52

AWS Machine Learning Blog

FEBRUARY 10, 2023

Feature engineering Game tracking data is captured at 10 frames per second, including the player location, speed, acceleration, and orientation. and Big Data Bowl Kaggle Zoo solution ( Gordeev et al. ). Our feature engineering constructs sequences of play features as the input for model digestion.

ML 78

ML ML Machine Learning Machine Learning 78

Pickl AI

SEPTEMBER 12, 2024

B Big Data : Large datasets characterised by high volume, velocity, variety, and veracity, requiring specialised techniques and technologies for analysis. C Classification: A supervised Machine Learning task that assigns data points to predefined categories or classes based on their characteristics.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 17, 2024

Read More: Big Data and Artificial Intelligence: How They Work Together? Unsupervised learning, on the other hand, deals with unlabelled data, where the algorithm tries to find patterns, similarities, and differences without any specific target variable. The goal is to discover hidden structures and insights within the data.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 52