Smart Data Collective

MAY 8, 2022

Big data, analytics, and AI all have a relationship with each other. For example, big data analytics leverages AI for enhanced data analysis. In contrast, AI needs a large amount of data to improve the decision-making process. What is the relationship between big data analytics and AI?

Big Data 106

Big Data Data Analytics Analytics Cost-Benefit 106

Smart Data Collective

APRIL 3, 2020

Big data is driving a number of changes in the business community. Some of the benefits of big data incredibly obvious. However, there are also a lot of other benefits big data creates that don’t get as much publicity. Big Data is the Future of Giveaway Offerings. Chatbots for Giveaways.

Big Data 94

Big Data Data-driven Data mining Software 94

IBM Big Data Hub

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? Machine learning and deep learning are both subsets of AI.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

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. Deep Learning.

Data Science 105

Data Science Statistics Deep Learning Machine Learning 105

Smart Data Collective

APRIL 3, 2020

Big data is driving a number of changes in the business community. Some of the benefits of big data incredibly obvious. However, there are also a lot of other benefits big data creates that don’t get as much publicity. Big Data is the Future of Giveaway Offerings. Chatbots for Giveaways.

Big Data 80

Big Data Data-driven Data mining Software 80

Domino Data Lab

MARCH 11, 2021

Companies can choose to build their own custom machine learning framework, but most organizations choose an existing framework that fits their needs. In this article, we’ll show key considerations for selecting the right machine learning framework for your project and briefly review four popular ML frameworks.

Machine Learning 143

Machine Learning Deep Learning Insurance Modeling 143

Sisense

APRIL 10, 2020

We’ll actually do this later in this article. These support a wide array of uses, such as data analysis, manipulation, visualizations, and machine learning (ML) modeling. Some standard Python libraries are Pandas, Numpy, Scikit-Learn, SciPy, and Matplotlib. R libraries. Every library has its own purpose and benefits.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98