By Francesca Lazzeri. This article is an extract from the book Machine Learning for Time Series Forecasting with Python, also by Lazzeri, published by Wiley.
In the first and second articles in this series, I showed how to perform feature engineering on time series data with Python and how to…
By Francesca Lazzeri. This article is an extract from the book Machine Learning for Time Series Forecasting with Python, also by Lazzeri, published by Wiley.
Time series is a type of data that measures how things change over time. In a time series dataset, the time column does not represent…
By Francesca Lazzeri. This article is an extract from the book Machine Learning for Time Series Forecasting with Python, also by Lazzeri, published by Wiley.
Applying Python packages and Machine Learning to accelerate forecasts enables the scalability, performance, and accuracy of intelligent solutions that can improve business operations. At the…
Over the past few years, there has been increasing demand for introductory coursework in artificial intelligence and machine learning. Enrollment in Introduction to Machine Learning classes at universities in the US have grown as much as 12 times in the past decade (https://hai.stanford.edu/sites/default/files/ai_index_2019_report.pdf). …
Data science is about extracting knowledge from data. Data science is an important area of study because it is a tool that data scientists leverage to gain insights from data and prepare it for the machine learning modeling phase. …
This article is authored by Francesca Lazzeri, PhD (@frlazzeri)
As we are leveraging data for making significant decisions that affect individual lives in domains such as health care, justice, finance, education, marketing, and employment, it is important to ensure the safe, ethical, and responsible use of AI. In collaboration with…
This post was co-authored by Chenhui Hu, Vanja Paunic, Hong Ooi, Tao Wu, Wee Hyong Tok.
Time series forecasting is one of the most important topics in data science. Imagine that you are a business owner, you might want to predict different sorts of future events to make better decisions…
This past semester we have been collaborating on a machine learning Capstone Project with Columbia University’s Master of Science in Applied Analytics: capstone projects are applied and experimental projects where students take what they have learned throughout the course of their graduate program and apply it to examine a specific…
This post was co-authored by JS Tan, Patrick Buehler, Anupam Sharma and Jun Ki Min.
In recent years, we’ve seen extraordinary growth in Computer Vision, with applications in image understanding, search, mapping, semi-autonomous or autonomous vehicles and many more .
The ability for models to understand actions in a video…
This article is authored by Matthew Muccio & Torrey Trahanovsky, Microsoft Student Partners, & Francesca Lazzeri, Microsoft ML Scientist.
In this article, we introduce the concept of Generative Adversarial Networks (GANs), by answering the following simple questions:
1. What are GANs?
2. How do GANs work?
3. How can you…
