Exponential smoothing is a time series forecasting method for univariate data that can be extended to support data with a systematic trend or seasonal component. It is a powerful forecasting method that may be used as an alternative to the popular Box-Jenkins ARIMA family of methods. In this tutorial, you will discover the exponential smoothing […]
A How to you stay up-to-date with machine learning? Generally, I don’t read the latest bleeding edge papers. This is for a few reasons: Most papers are not reproducible. Most papers are badly written. Most papers will not be referenced or used by next year. I try to focus my attention on the methods that […]
A In what order should I read your books? What order should you read the books? That is a great question, my best suggestions are as follows: Consider starting with a book on a topic that you are most excited about. Consider starting with a book on a topic that you can apply on a […]
A Why do you focus on Python for machine learning? I like to use different tools depending on the project. Recently I have been focusing more attention on Python-based tools and libraries. It seems that Python may be emerging as a dominant platform. Skills in Python for machine learning are in great demand. I am […]
A How do I get a job without a degree? I teach a top-down and results-first approach to machine learning. This means that you very quickly learn how to work through predictive modeling problems and deliver results. As part of this process, I teach a method of developing a portfolio of completed projects. This demonstrates […]
Machine learning is a large and interdisciplinary field of study. You can achieve impressive results with machine learning and find solutions to very challenging problems. But this is only a small corner of the broader field of machine learning often called predictive modeling or predictive analytics. In this post, you will discover how to change […]
Technical topics like mathematics, physics, and even computer science are taught using a bottom-up approach. This approach involves laying out the topics in an area of study in a logical way with a natural progression in complexity and capability. The problem is, humans are not robots executing a learning program. We require motivation, excitement, and […]
The encoder-decoder architecture for recurrent neural networks is achieving state-of-the-art results on standard machine translation benchmarks and is being used in the heart of industrial translation services. The model is simple, but given the large amount of data required to train it, tuning the myriad of design decisions in the model in order get top […]
The encoder-decoder architecture for recurrent neural networks is the standard neural machine translation method that rivals and in some cases outperforms classical statistical machine translation methods. This architecture is very new, having only been pioneered in 2014, although, has been adopted as the core technology inside Google’s translate service. In this post, you will discover […]
One of the earliest goals for computers was the automatic translation of text from one language to another. Automatic or machine translation is perhaps one of the most challenging artificial intelligence tasks given the fluidity of human language. Classically, rule-based systems were used for this task, which were replaced in the 1990s with statistical methods. […]
