Data Science Dojo

SEPTEMBER 8, 2023

Techniques Uses statistical models, machine learning algorithms, and data mining. Uses deep learning, natural language processing, and computer vision. When you combine real-time data with AI, you move beyond basic reordering. To automate tasks, improve decision-making, and create new products and services.

Predictive Analytics 243

Predictive Analytics Analytics Analytics Deep Learning 243

ODSC - Open Data Science

JANUARY 26, 2023

However, it is worth the time since it will deliver the most prominent benefit for whatever technology it informs — whether it’s natural language processing with a chatbot or AI in Internet of Things (IoT) tech. Apart from improving performance with more data, scientists can also transform it.

Deep Learning 59

Deep Learning Deep Learning Data Scientist Internet of Things 59

AWS Machine Learning Blog

JANUARY 13, 2023

At the application level, such as computer vision, natural language processing, and data mining, data scientists and engineers only need to write the model, data, and trainer in the same way as a standalone program and then pass it to the FedMLRunner object to complete all the processes, as shown in the following code.

AWS 102

AWS Analytics Analytics Machine Learning 102

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