Smart Data Collective

OCTOBER 14, 2019

Whether they want a career as an app developer or data analyst, the skillsets below can help them find lucrative careers in a competitive job market. Big Data Skillsets. From artificial intelligence and machine learning to blockchains and data analytics, big data is everywhere. Machine Learning.

Big Data 99

Big Data Big Data Apache Hadoop Hadoop 99

Analytics Vidhya

FEBRUARY 5, 2024

Introduction With the increasing prevalence of internet usage, companies harness data’s power to drive innovation, make strategic decisions, and gain a competitive edge in the digital era. As of January 2024, 5.35 billion individuals were connected to the Internet, constituting 66.2 percent of the world’s population.

Data Science 302

Data Science Analytics Analytics Data Mining 302

IBM Journey to AI blog

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Towards AI

JUNE 27, 2023

In the rapidly expanding field of artificial intelligence (AI), machine learning tools play an instrumental role. Scikit Learn Scikit Learn is a comprehensive machine learning tool designed for data mining and large-scale unstructured data analysis.

Machine Learning 98

Machine Learning Machine Learning ML ML 98

Data Science Blog

FEBRUARY 23, 2023

If you can analyze data with statistical knowledge or unsupervised machine learning, just extracting data without labeling would be enough. And sometimes ad hoc analysis with simple data visualization will help your decision makings.

Supervised Learning 264

Supervised Learning Machine Learning Machine Learning Deep Learning 264

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. The Fundamentals. Mathematics.

Data Science 133

Data Science Exploratory Data Analysis Machine Learning Machine Learning 133

Pickl AI

APRIL 18, 2023

Data Science is one of the most lucrative career opportunities, thus triggering the demand for Data professionals. Data Science encompasses several other technologies like Artificial Intelligence, Machine Learning and more. It is an interdisciplinary domain that studies the data and derives useful insights.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52

IBM Journey to AI blog

JULY 6, 2023

Data science solves a business problem by understanding the problem, knowing the data that’s required, and analyzing the data to help solve the real-world problem. Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on learning from what the data science comes up with.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

ODSC - Open Data Science

FEBRUARY 8, 2023

BigQuery operation principles Business intelligence projects presume collecting information from different sources into one database. Then, an analyst prepares them for reporting (via data visualization tools like Google Data Studio). The BigQuery tool was designed to be the centerpiece of data analysis.

Database 97

Database Data Science Big Data Big Data 97

Pickl AI

JUNE 11, 2024

This structured organization facilitates insightful analysis, allowing you to drill down into specific details and uncover hidden relationships within your data. Data Mining and Reporting Data warehouses are not passive repositories.

Data Warehouse 52

Data Warehouse ETL Data Mining Data Mining 52

Pickl AI

JULY 30, 2024

Some of the key tools used for Machine Learning include: Building Machine Learning Models Machine learning models make predictions or classifications based on biological data. Data Mining Data mining involves extracting patterns and insights from large datasets. Weka and R support this process.

Cloud Computing 52

Cloud Computing Machine Learning Machine Learning Power BI 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

ODSC - Open Data Science

AUGUST 21, 2023

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 Machine Learning Machine Learning Deep Learning 52

Pickl AI

APRIL 19, 2023

Gather data The next step is to collect the relevant data from different sources like customer data and feedback. Analyze the data It is also significant to analyze the data, which involves different methods like data visualization, data mining, or statistical analysis, depending on the nature of the data.

Business Intelligence 52

Business Intelligence Business Intelligence Data Analysis Data Analysis 52

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

ODSC - Open Data Science

APRIL 3, 2023

As you’ll see below, however, a growing number of data analytics platforms, skills, and frameworks have altered the traditional view of what a data analyst is. Data Presentation: Communication Skills, Data Visualization Any good data analyst can go beyond just number crunching.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

Pickl AI

JANUARY 23, 2023

Introduction to Machine Learning Frameworks In the present world, almost every organization is making use of machine learning and artificial intelligence in order to stay ahead of the competition. TensorBoard, a large package that is typically overlooked, is included within TensorFlow and is used for data visualization.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Mlearning.ai

MAY 23, 2023

Once the data is acquired, it is maintained by performing data cleaning, data warehousing, data staging, and data architecture. Data processing does the task of exploring the data, mining it, and analyzing it which can be finally used to generate the summary of the insights extracted from the data.

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52

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