Smart Data Collective

NOVEMBER 18, 2020

The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Unfortunately, despite the growing interest in big data careers, many people don’t know how to pursue them properly. What is Data Science? Definition: Data Mining vs Data Science.

Data Mining 143

Data Mining Data Mining Data Mining Data Science 143

The Data Administration Newsletter

AUGUST 17, 2021

If you are planning on using predictive algorithms, such as machine learning or data mining, in your business, then you should be aware that the amount of data collected can grow exponentially over time.

Data Mining 115

Data Mining Data Mining Data Mining Big Data 115

Data Science Dojo

JANUARY 16, 2023

An overview of data analysis, the data analysis process, its various methods, and implications for modern corporations. Studies show that 73% of corporate executives believe that companies failing to use data analysis on big data lack long-term sustainability.

Data Analysis 195

Data Analysis Data Analysis Data Analyst Big Data 195

Smart Data Collective

JUNE 4, 2021

Some of the applications of data science are driverless cars, gaming AI, movie recommendations, and shopping recommendations. Since the field covers such a vast array of services, data scientists can find a ton of great opportunities in their field. Data scientists use algorithms for creating data models.

Data Science 105

Data Science Exploratory Data Analysis Machine Learning Machine Learning 105

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. Without big data in predictive analytics, these descriptive models can’t offer a competitive advantage or negotiate future outcomes.

Predictive Analytics 122

Predictive Analytics Analytics Analytics Decision Trees 122

IBM Journey to AI blog

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? It’s also necessary to understand data cleaning and processing techniques.

Machine Learning 54

Machine Learning Machine Learning Data Science Big Data 54

IBM Journey to AI blog

SEPTEMBER 19, 2023

Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes. Many functions of data analytics—such as making predictions—are built on machine learning algorithms and models that are developed by data scientists.

Data Science 76

Data Science Analytics Analytics Data Scientist 76