Smart Data Collective

JUNE 4, 2021

Here are the chronological steps for the data science journey. First of all, it is important to understand what data science is and is not. Data science should not be used synonymously with data mining. Mathematics, statistics, and programming are pillars of data science. Natural Language Processing (NLP).

Data Science 133

Data Science Exploratory Data Analysis Machine Learning Machine Learning 133

Data Science Blog

FEBRUARY 23, 2023

My point is, the more data you have, and the bigger computation resource you have, the better performance you get. In other words, machine learning has scalability with data and parameters. This characteristic is clearly observed in models in natural language processing (NLP) and computer vision (CV) like in the graphs below.

Supervised Learning 264

Supervised Learning Machine Learning Machine Learning Deep Learning 264

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 70

Machine Learning Machine Learning Data Science Big Data 70

ODSC - Open Data Science

MARCH 11, 2024

Data Visualization and Data Analysis Join some of the world’s most creative minds that are changing the way we visualize, understand, and interact with data. You’ll also learn the art of storytelling, information communication, and data visualization using the latest open-source tools and techniques.

Data Science 52

Data Science Deep Learning Deep Learning Machine Learning 52

IBM Journey to AI blog

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? Data analysis and interpretation The next step is to examine the extracted patterns, trends and insights to develop meaningful conclusions.

Machine Learning 68

Machine Learning Machine Learning Data Mining Data Mining 68

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. It is popular for its powerful data visualization and analysis capabilities.

Data Science 52

Data Science SQL Data Scientist Python 52

Dataconomy

JULY 28, 2023

Data preprocessing is a fundamental and essential step in the field of sentiment analysis, a prominent branch of natural language processing (NLP). Proper data preprocessing lays the foundation for successful data-driven decision-making and empowers businesses to extract valuable insights from their data.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

DrivenData Labs

DECEMBER 11, 2024

Data science is used to protect people from dangers like harmful algal blooms and unsustainable fishing practices , and to monitor effects of a changing climate on natural disasters , financial inclusion , and wildlife conservation. Data science processes are canonically illustrated as iterative processes.

Data Science 147

Data Science Data Scientist Machine Learning Machine Learning 147

Dataconomy

MARCH 10, 2025

Data Mining: Methods that extract patterns from large datasets to inform personalization strategies. Data Visualization: This technique aids in understanding complex information, making it easier to derive actionable insights from the data.

Predictive Analytics 91

Predictive Analytics Data Science Natural Language Processing Machine Learning 91