Data Mining, Decision Trees, Hadoop and Natural Language Processing

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Data Mining

Decision Trees

Hadoop

Natural Language Processing

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

Its simplicity, versatility, and extensive range of libraries make it a favorite choice among Data Scientists. However, with libraries like NumPy, Pandas, and Matplotlib, Python offers robust tools for data manipulation, analysis, and visualization. Q: What are the advantages of using Julia in Data Science?

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

Webinars

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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

Webinars

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