Data Mining, Decision Trees and Hadoop

Data science vs. machine learning: What’s the difference?

IBM Journey to AI blog

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining.

Machine Learning

Machine Learning Machine Learning Data Science Big Data

8 Best Programming Language for Data Science

Pickl AI

JULY 18, 2023

Java: Scalability and Performance Java is renowned for its scalability and robustness, making it an excellent choice for handling large-scale data processing. With its powerful ecosystem and libraries like Apache Hadoop and Apache Spark, Java provides the tools necessary for distributed computing and parallel processing.

Data Science

Data Science SQL Data Scientist Apache Hadoop

Introduction to applied data science 101: Key concepts and methodologies

Data Science Dojo

AUGUST 30, 2023

It leverages algorithms to parse data, learn from it, and make predictions or decisions without being explicitly programmed. From decision trees and neural networks to regression models and clustering algorithms, a variety of techniques come under the umbrella of machine learning.

Data Science

Data Science Hypothesis Testing Machine Learning Machine Learning

Data Science Current

Data science vs. machine learning: What’s the difference?

8 Best Programming Language for Data Science

Introduction to applied data science 101: Key concepts and methodologies

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