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 70

Machine Learning Machine Learning Data Science Big Data 70

Dataconomy

JUNE 13, 2023

At its core, decision intelligence involves collecting and integrating relevant data from various sources, such as databases, text documents, and APIs. This data is then analyzed using statistical methods, machine learning algorithms, and data mining techniques to uncover meaningful patterns and relationships.

Power BI 103

Power BI Data Analysis Data Analysis Artificial Intelligence 103

Pickl AI

MAY 23, 2023

Eligibility: Data Science Competition of Kaggle includes everything from cooking to data mining and remains open for all. Data Hack: DataHack is a web-based platform that offers data science competitions and hackathons.

Data Science 52

Data Science Machine Learning Machine Learning Algorithm 52

Heartbeat

OCTOBER 23, 2023

Image from "Big Data Analytics Methods" by Peter Ghavami Here are some critical contributions of data scientists and machine learning engineers in health informatics: Data Analysis and Visualization: Data scientists and machine learning engineers are skilled in analyzing large, complex healthcare datasets.

Machine Learning 52

Machine Learning Machine Learning Data Scientist Big Data Analytics 52

ODSC - Open Data Science

MAY 25, 2023

Mario Inchiosa, PhD Principal Data Scientist Manager | Microsoft Dr. Inchiosa’s current work focuses on AI-led co-innovation engagements. His past roles have included work in analytics, big data, R, SQL, data mining, and more.

Data Science 52

Data Science Machine Learning Machine Learning Database 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? In the age of big data, companies are always on the hunt for advanced tools and techniques to extract insights from data reserves.

Machine Learning 68

Machine Learning Machine Learning Data Mining Data Mining 68

Pickl AI

SEPTEMBER 11, 2024

Employers often look for candidates with a deep understanding of Data Science principles and hands-on experience with advanced tools and techniques. With a master’s degree, you are committed to mastering Data Analysis, Machine Learning, and Big Data complexities.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

ODSC - Open Data Science

MARCH 11, 2024

You’ll also learn the art of storytelling, information communication, and data visualization using the latest open-source tools and techniques. You’ll also hear use cases on how data can be used to optimize business performance.

Data Science 52

Data Science Deep Learning Deep Learning Machine Learning 52

Pickl AI

SEPTEMBER 12, 2024

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. Introduction In the rapidly evolving field of Data Science, understanding key terminology is crucial for Data Analysts to communicate effectively, collaborate effectively, and drive data-driven projects.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 23, 2024

AI is making a difference in key areas, including automation, language processing, and robotics. Natural Language Processing: NLP helps machines understand and generate human language, enabling technologies like chatbots and translation.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 52

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 52

Data Science SQL Data Scientist Python 52

Data Science Dojo

AUGUST 30, 2023

Big data processing With the increasing volume of data, big data technologies have become indispensable for Applied Data Science. Technologies like Hadoop and Spark enable the processing and analysis of massive datasets in a distributed and parallel manner.

Data Science 195

Data Science Hypothesis Testing Machine Learning Machine Learning 195

DrivenData Labs

DECEMBER 11, 2024

The goal, as we wrote at the time , was to bring cutting-edge practices in data science and crowdsourcing to some of the world's biggest social challenges and the organizations taking them on. Data science processes are canonically illustrated as iterative processes. It wasn't just us thinking about this.

Data Science 147

Data Science Data Scientist Machine Learning Machine Learning 147