Data Science Blog

MARCH 14, 2023

In der Parallelwelt der ITler wurde das Tool und Ökosystem Apache Hadoop quasi mit Big Data beinahe synonym gesetzt. Cloud Computing , erst mit den Infrastructure as a Service (IaaS) Angeboten von Amazon, Microsoft und Google, wurde zum Enabler für schnelle, flexible Big Data Architekturen. ChatGPT basiert auf GPT-3.5

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147

Smart Data Collective

MAY 20, 2019

Machine Learning Experience is a Must. Machine learning technology and its growing capability is a huge driver of that automation. It’s for good reason too because automation and powerful machine learning tools can help extract insights that would otherwise be difficult to find even by skilled analysts.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

Analytics Vidhya

MARCH 8, 2023

The Biggest Data Science Blogathon is now live! Knowledge is power. Sharing knowledge is the key to unlocking that power.”― Martin Uzochukwu Ugwu Analytics Vidhya is back with the largest data-sharing knowledge competition- The Data Science Blogathon.

Data Science 345

Data Science Analytics Analytics Apache Hadoop 345

Mlearning.ai

MAY 23, 2023

Mathematics for Machine Learning and Data Science Specialization Proficiency in Programming Data scientists need to be skilled in programming languages commonly used in data science, such as Python or R. These languages are used for data manipulation, analysis, and building machine learning models.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 17, 2024

Cloud computing has emerged as a popular solution for providing scalable storage and processing capabilities. This section will highlight key tools such as Apache Hadoop, Spark, and various NoSQL databases that facilitate efficient Big Data management. servers) as well as software tools (e.g., analytics platforms).

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

NOVEMBER 4, 2024

On the other hand, Data Science involves extracting insights and knowledge from data using Statistical Analysis, Machine Learning, and other techniques. Among these tools, Apache Hadoop, Apache Spark, and Apache Kafka stand out for their unique capabilities and widespread usage.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Data Science Dojo

MAY 24, 2024

AI engineering is the discipline that combines the principles of data science, software engineering, and machine learning to build and manage robust AI systems. Machine Learning Algorithms Recent improvements in machine learning algorithms have significantly enhanced their efficiency and accuracy.

Deep Learning 195

Deep Learning Deep Learning Machine Learning Machine Learning 195