ODSC - Open Data Science

JUNE 19, 2023

It is the preferred operating system for data processing heavy operations for many reasons (more on this below). Around 70 percent of embedded systems use this OS and the RTOS market is expected to grow by 23 percent CAGR within the 2023–2030 forecast period, reaching a market value of over $2.5 You can connect with him on LinkedIn.

Big Data 96

Big Data Big Data Artificial Intelligence Artificial Intelligence 96

Women in Big Data

MARCH 8, 2023

Victoria has experience in business strategy, digital transformation, Cloud DevOps Engineering and data science. Women in Big Data Berlin got a chance to have an insightful interview with Victoria. Technology jobs will rise 13% from 2020 to 2030, which outpaces the average for all occupations.

Big Data 52

Big Data Big Data Cloud Computing Data Scientist 52

Pickl AI

NOVEMBER 28, 2024

Familiarity with cloud computing tools supports scalable model deployment. million by 2030, with a remarkable CAGR of 44.8% Using appropriate metrics like the F1 score also ensures a more balanced model performance evaluation, especially for imbalanced data. during the forecast period. billion in 2023 to $181.15

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Pickl AI

NOVEMBER 21, 2024

Summary: This article discusses the interoperability of Python, MATLAB, and R, emphasising their unique strengths in Data Science, Engineering, and Statistical Analysis. It highlights the importance of combining these languages for efficient workflows while addressing challenges such as data compatibility and performance bottlenecks.

Python 52

Python Cloud Computing Machine Learning Machine Learning 52

Pickl AI

NOVEMBER 4, 2024

Additionally, Data Engineers implement quality checks, monitor performance, and optimise systems to handle large volumes of data efficiently. Differences Between Data Engineering and Data Science While Data Engineering and Data Science are closely related, they focus on different aspects of data.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Pickl AI

DECEMBER 10, 2024

Purpose Exalogic serves as a platform for hosting high-performance cloud computing and enterprise applications. from 2025 to 2030. Exalogic simplifies IT environments by integrating hardware and software to support complex workloads seamlessly. Impact on Enterprise IT The global engineering software market, estimated at USD 43.03

Database 52

Database Analytics Analytics Business Intelligence 52

Pickl AI

NOVEMBER 26, 2024

billion by 2030, with a CAGR of 26.7% —understanding RNNs is crucial. This blog aims to introduce RNNs, explore their applications, and highlight their significance in fields like network security in cloud computing. They excel in tasks involving sequential data. As the global neural network market expands—from $14.35

Natural Language Processing 52

Natural Language Processing Deep Learning Deep Learning Algorithm 52

Pickl AI

MARCH 27, 2025

Summary: IoT and cloud computing revolutionise industries by enabling automation, scalability, and real-time data insights. Mastering data science enhances your ability to work with IoT and cloud computing. Everything around us is getting smarter and faster, from smart homes to real-time data sharing.

Cloud Computing 52

Cloud Computing Internet of Things Data Science Machine Learning 52