ODSC - Open Data Science

AUGUST 15, 2023

You’ll explore the current production-grade tools, techniques, and workflows as well as explore the 8 layers of the machine learning stack. You’ll get hands-on practice with unsupervised learning techniques, such as K-Means clustering, and classification algorithms like decision trees and random forest.

Machine Learning 52

Machine Learning Machine Learning Data Science Data Scientist 52

Pickl AI

APRIL 26, 2024

Top 50+ Interview Questions for Data Analysts Technical Questions SQL Queries What is SQL, and why is it necessary for data analysis? SQL stands for Structured Query Language, essential for querying and manipulating data stored in relational databases. What are the advantages and disadvantages of decision trees ?

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

IBM Journey to AI blog

DECEMBER 19, 2023

The main difference being that while KNN makes assumptions based on data points that are closest together, LOF uses the points that are furthest apart to draw its conclusions. Unsupervised learning Unsupervised learning techniques do not require labeled data and can handle more complex data sets.

Machine Learning 71

Machine Learning Machine Learning Supervised Learning K-nearest Neighbors 71

Dataconomy

MAY 25, 2023

Here are some ways AI enhances IoT devices: Advanced data analysis AI algorithms can process and analyze vast volumes of IoT-generated data. By leveraging techniques like machine learning and deep learning, IoT devices can identify trends, anomalies, and patterns within the data.

Internet of Things 160

Internet of Things Artificial Intelligence Artificial Intelligence AI 160

Dataconomy

AUGUST 9, 2023

How could machine learning be used in network traffic analysis? Machine learning is fundamentally changing the landscape of network traffic analysis by automating the process of data analysis and interpretation. All too long to do?

Machine Learning 91

Machine Learning Machine Learning ML ML 91

Pickl AI

FEBRUARY 12, 2024

Statistical Concepts A strong understanding of statistical concepts, including probability, hypothesis testing, regression analysis, and experimental design, is paramount in Data Science roles. Clustering algorithms such as K-means and hierarchical clustering are examples of unsupervised learning techniques.

Data Science 52

Data Science Cross Validation Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 3, 2023

49% of companies in the world that use Machine Learning and AI in their marketing and sales processes apply it to identify the prospects of sales. Anomalies, being different from normal data, result in higher reconstruction errors. Points that don’t belong to any cluster or are in low-density regions are considered anomalies.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Algorithm 52