Watch: Unsupervised Feature Learning with Matrix Decomposition
Supervised learning is among the most powerful tools in data science but it requires a training dataset in which one knows the classes of the input features apriori. For example, a classification algorithm learns the identity of animals through training on a dataset of images that are labeled with... Read more
What Will the Next Generation of Data Scientists Look Like?
With the current generation of data scientists working tirelessly to satisfy the accelerating demand for data-driven insights on behalf of industries pretty much across the board, it’s natural to take a step back and ask what the “data scientist 2.0” might look like in the next 5-10 years. In... Read more
Watch: Standardized Data Science – The Team Data Science Process with Python
Proven, standardized methodology for data science that folds into standard IT practices (such as SDLCs and DevOps) is the first thing needed for hundreds of data science teams around the world. The Team Data Science Process (TDSP) is a robust, yet flexible, fully-documented and defined process you can use... Read more
Stream Data Processing with Apache Kafka and TensorFlow
Editor’s note: Yong is a speaker for the upcoming ODSC East 2019 this April 30 – May 3! Be sure to check out his talk, “Deep Learning for Real Time Streaming Data with Kafka and TensorFlow.” As one of the most popular deep learning frameworks, TensorFlow has been used... Read more
The Promise of Retrofitting: Building Better Models for Natural Language Processing
Editor’s note: Catherine is a speaker for the upcoming ODSC East 2019 this April 30-May 3! Be sure to check out her talk, “Adding Context and Cognition to Modern NLP Techniques.” OpenAI’s Andrej Karpathy famously said, “I don’t have to actually experience crashing my car into a wall a... Read more
4 of the Best Data Science YouTube Channels
There are a lot of ways that you can learn about data science and/or stay up to date with the latest trends, but the easiest by far is still Youtube. You could do a search for data science and come up with thousands and thousands of hits, but we’ve... Read more
From the New York Times to NASA: How Text Analysis Saves Lives
Editor’s note: Alex is a presenter for ODSC East 2019 this April 30 – May 3! Be sure to check out his talk, “From the New York Times to NASA: How Text Analysis Saves Lives.” Machine learning techniques are driving disruptive change across disparate fields in engineering. A parallel,... Read more
Confronting the Curse of Dimensionality
Every data scientist eventually confronts the “Curse of Dimensionality,” or trying to work with a large number of feature variables. Machine learning shines when analyzing data with many dimensions. Humans, on the other hand, are not good at finding patterns that may be spread out across a large number... Read more
Artificial Intelligence and Machine Learning in Practice: Anomaly Detection in Army ERP Data
Overview Assessing and improving readiness remains a significant priority for the United States Army. With this priority in mind, the Army recently launched a project to enhance its supply chain data environments by leveraging the power of artificial intelligence (AI) and machine learning (ML). The Army’s Logistics Innovation Agency... Read more
Ten Reasons for Doing Public Data Hacking
As a data scientist, I’m data hungry. I’m always looking for new sources of data. A few years ago, I kept noticing new open data repositories coming online. For instance, I was excited to learn about the opening in 2015 of the Los Angeles Open Data website in my... Read more