This course aims to provide an introduction to the quantitative analysis of data, blending classical statistical methods with recent advances in computational and machine learning. You will cover key ...

Machine learning is a branch of artificial intelligence that deals with predictive modeling and analysis based on historical data. In simple terms, it uses complex mathematical algorithms to ...

This article serves as a guide to data visualization, analytics, and machine learning platforms. Here I will discuss the features, use cases, user personas, and differentiating capabilities of ...

Explain what decision tree is & how it splits nodes. This week, we will build our supervised machine learning foundation. Data cleaning and Exploratory Data Analysis (EDA) might not seem glamorous, ...

This course provides an introduction to GeostatsPy ... I hope that this is helpful to those that want to learn more about subsurface modeling, data analytics and machine learning. Students and working ...

and make informed decisions An introduction to new sensor technologies, including spectral imaging and real-time color video, and the major classes of data analytics and machine learning methods used ...

Incorporating data collection, analysis, and presentation, with acknowledgement of big data and machine learning, this course will ensure you are at the forefront of developments in social data ...

This leading textbook provides a comprehensive introduction to the fields ... It is suitable for courses on machine learning, statistics, computer science, signal processing, computer vision, data ...

The course will provide an introduction into the most important statistics ... Biochemical Engineering department in 2020 with a continued focus on Big-Data analytics and Machine Learning applications ...

The third edition of Introduction to Machine Learning reflects this shift, with added support for beginners, including selected solutions for exercises and additional example data sets (with code ...