Microsoft Deep Learning Brings Innovative Features – CNTK Shows Promise

Previous post            Tweet Tags: CNTK, Deep Learning, Matthew Mayo, Microsoft Microsoft releases CNTK, a deep learning tool kit which shows promise. While a few innovative features set it apart from its competitors, a major drawback may hurt its adoption. comments By Matthew Mayo.Xuedong Huang thought the tools that he and his team had were slowing down their…
Original Post: Microsoft Deep Learning Brings Innovative Features – CNTK Shows Promise

Google’s Great Gains in the Grand Game of Go

Previous post            Tweet Tags: Deep Learning, DeepMind, Games, Go, Google The game of Go has long stumped AI researchers, and, as such, solving it was thought to be years off. That is, until Google solved it earlier this week. Or did it? comments By Matthew Mayo.For some time, the big players in artificial intelligence (AI) (notably Google…
Original Post: Google’s Great Gains in the Grand Game of Go

Top /r/MachineLearning Posts, January: Google Masters Go, Deep Learning Laughs, OpenAI AMA

Top /r/MachineLearning Posts, January: Google Masters Go, Deep Learning Laughs, OpenAI AMA Previous post            Tweet Tags: Artificial Intelligence, Convolutional Neural Networks, Google, Matthew Mayo, OpenAI, Reddit In January on /r/MachineLearning: Go gets mastered, deep learning laughs, an OpenAI team AMA, convolutional neural nets colorize black and white photos, and the AI community loses a leader. By Matthew…
Original Post: Top /r/MachineLearning Posts, January: Google Masters Go, Deep Learning Laughs, OpenAI AMA

Python Data Science with Pandas vs Spark DataFrame: Key Differences

Previous post Next post            Tweet Tags: Apache Spark, Pandas, Python A post describing the key differences between Pandas and Spark’s DataFrame format, including specifics on important regular processing features, with code samples. By Christophe Bourguignat.Editor’s note: click images of code to enlarge.With 1.4 version improvements, Spark DataFrames could become the new Pandas, making ancestral RDDs look like…
Original Post: Python Data Science with Pandas vs Spark DataFrame: Key Differences

Is Deep Learning Overhyped?

Previous post Next post            Tweet Tags: Deep Learning, Hype, Matthew Mayo, Quora, Yoshua Bengio With all of the success that deep learning is experiencing, the detractors and cheerleaders can be seen coming out of the woodwork. What is the real validity of deep learning, and is it simply hype? comments By Matthew Mayo. Editor: vote in new…
Original Post: Is Deep Learning Overhyped?

Deep Learning with Spark and TensorFlow

Previous post Next post            Tweet Tags: Apache Spark, Deep Learning, Distributed Systems, TensorFlow The integration of TensorFlow with Spark leverages the distributed framework for hyperparameter tuning and model deployment at scale. Both time savings and improved error rates are demonstrated. By Tim Hunter, Databricks. Neural networks have seen spectacular progress during the last few years and they…
Original Post: Deep Learning with Spark and TensorFlow

How to Check Hypotheses with Bootstrap and Apache Spark

Previous post Next post            Tweet Tags: Apache Spark, Bootstrap sampling, Dmitry Petrov, Statistical Analysis Learn how to leverage bootstrap sampling to test hypotheses, and how to implement in Apache Spark and Scala with a complete code example. By Dmitry Petrov, FullStackML. There is a feature I really like in Apache Spark. Spark can process data out of…
Original Post: How to Check Hypotheses with Bootstrap and Apache Spark

Implementing Your Own k-Nearest Neighbour Algorithm Using Python

Previous post Next post            Tweet Tags: Nearest Neighbor, Python, Python Tutorial, Tutorial A detailed explanation of one of the most used machine learning algorithms, k-Nearest Neighbors, and its implementation from scratch in Python. Enhance your algorithmic understanding with this hands-on coding exercise. By Natasha Latysheva.Editor’s note: Natasha is active in the Cambridge Coding Academy, which is holding…
Original Post: Implementing Your Own k-Nearest Neighbour Algorithm Using Python

How to Tackle a Lottery with Mathematics

Previous post Next post            Tweet Tags: Lottery, Mathematics With mathematical rigor and narrative flair, Adam Kucharski reveals the tangled history of betting and science. The house can seem unbeatable. In this book, Kucharski shows us just why it isn’t. Even better, he shows us how the search for the perfect bet has been crucial for the scientific…
Original Post: How to Tackle a Lottery with Mathematics

Deep Feelings On Deep Learning

           Tweet Previous post Next post Tags: Artificial Intelligence, Deep Learning, Emotion A thoughtful opinion piece on deep learning and its role in Strong AI. A pragmatic view of deep learning and its comparison to competing learning strategies is presented. comments By Carlos Argueta.So I want to build Artificial Emotional Intelligence (AEI), and I already wrote about a possible application…
Original Post: Deep Feelings On Deep Learning