Data Science 101

OCTOBER 31, 2019

This data alone does not make any sense unless it’s identified to be related in some pattern. Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). Machine learning provides the technical basis for data mining.

Data Mining 77

Data Mining Data Mining Data Mining Data Science 77

Dataconomy

APRIL 27, 2023

Concurrency algorithms are used to ensure that no two users can change the same data at the same time and that all transactions are carried out in the proper order. This helps prevent issues such as double-booking the same hotel room and accidental overdrafts on joint bank accounts.

Database 159

Database Data Scientist Data Mining Data Mining 159

Pickl AI

NOVEMBER 4, 2024

Learning Resources To master Python for Data Science, accessing high-quality learning resources catering to beginners and professionals is essential. From structured online courses to insightful books and tutorials and engaging YouTube channels and podcasts, a wealth of content guides you on your journey.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Towards AI

MARCH 17, 2023

Random variable: Statistics and data mining are concerned with data. How do we link sample spaces and events to data? Speaking mathematically [Image credits: All of statistics by Larry Wasserman book ] Where are we currently using CLT? and those chosen people will be sampled from all student's sample space.

Hypothesis Testing 98

Hypothesis Testing Data Mining Data Mining Data Mining 98

Dataconomy

JULY 3, 2023

Evolutionary computing has been successfully applied to various problem domains, including optimization, machine learning, scheduling, data mining, and many others. John Holland’s book “ Adaptation in Natural and Artificial Systems ” (1975) further popularized genetic algorithms.

Algorithm 91

Algorithm Artificial Intelligence Artificial Intelligence Clustering 91

PyImageSearch

JUNE 19, 2023

movies, books, videos, or music) for any user. Recommendation Techniques Data mining techniques are incredibly valuable for uncovering patterns and correlations within data. Figure 8: K-nearest neighbor algorithm (source: Towards Data Science ). Several clustering algorithms (e.g.,

K-nearest Neighbors 56

K-nearest Neighbors Clustering Algorithm Deep Learning 56

Pickl AI

JUNE 7, 2023

Kaggle Bike Sharing Bike-sharing systems is one of the best Data Science project on Github that allows you to book and rent motorbikes/bicycles and return them. It requires you to combine historical usage patterns with weather data for predicting the demand of rental services.

Data Science 52

Data Science Deep Learning Deep Learning Clustering 52