October 22, 2020 MT evaluation, NLP

Issue #104 – Using Test Sets to Evaluate Machine Translation

22 Oct20 Issue #104 – Using Test Sets to Evaluate Machine Translation Author: Dr. Karin Sim, Machine Translation Scientist @ Iconic Introduction There is finally a growing acceptance in some circles that evaluation of Machine Translation (MT) is lagging behind progress in Neural MT (NMT). Especially with regards to metrics such as BLEU, there is a recognition that “as NMT continues to improve, these metrics will inevitably lose their effectiveness” (Isabelle et al., 2017). In today’s blog post, we look […]

October 22, 2020 Machine Learning

6 Books on Ensemble Learning

Ensemble learning involves combining the predictions from multiple machine learning models. The effect can be both improved predictive performance and lower variance of the predictions made by the model. Ensemble methods are covered in most textbooks on machine learning; nevertheless, there are books dedicated to the topic. In this post, you will discover the top books on the topic of ensemble machine learning. After reading this post, you will know: Books on ensemble learning, including their table of contents and […]

October 20, 2020 Artificial intelligence Leave a comment

A holistic representation toward integrative AI

At Microsoft, we have been on a quest to advance AI beyond existing techniques, by taking a more holistic, human-centric approach to learning and understanding. As Chief Technology Officer of Azure AI Cognitive Services, I have been working with a team of amazing scientists and engineers to turn this quest into a reality. In my role, I enjoy a unique perspective in viewing the relationship among three attributes of human cognition: monolingual text (X), audio or visual sensory signals, (Y) […]

October 20, 2020 Artificial intelligence Leave a comment

Physics matters: Haptic PIVOT, an on-demand controller, simulates physical forces such as momentum and gravity

When you reach out an empty hand to pick an apple from a tree, you’re met with a variety of sensations—the firmness of the apple as you grip it, the resistance from the branch as you tug the apple free, the weight of the apple in your palm once you’ve plucked it, and the smooth, round surface under your fingertips. In recent years, steady progress in haptic controllers from Microsoft Research has moved us toward a virtual reality (VR) experience […]

October 19, 2020 Python

Python: Slice Notation on List

Introduction The term slicing in programming usually refers to obtaining a substring, sub-tuple, or sublist from a string, tuple, or list respectively. Python offers an array of straightforward ways to slice not only these three but any iterable. An iterable is, as the name suggests, any object that can be iterated over. In this article, we’ll go over everything you need to know about Slicing Lists in Python. Slicing a List in Python There are a couple of ways to […]

October 19, 2020 Python

Change Font Size in Matplotlib

Introduction Matplotlib is one of the most widely used data visualization libraries in Python. Much of Matplotlib’s popularity comes from its customization options – you can tweak just about any element from its hierarchy of objects. In this tutorial, we’ll take a look at how to change the font size in Matplotlib. Change Font Size in Matplotlib There are a few ways you can go about changing the size of fonts in Matplotlib. You can set the fontsize argument, change […]

October 19, 2020 Machine Learning

Softmax Activation Function with Python

Softmax is a mathematical function that converts a vector of numbers into a vector of probabilities, where the probabilities of each value are proportional to the relative scale of each value in the vector. The most common use of the softmax function in applied machine learning is in its use as an activation function in a neural network model. Specifically, the network is configured to output N values, one for each class in the classification task, and the softmax function […]

October 19, 2020 Artificial intelligence Leave a comment

Microsoft Turing Universal Language Representation model, T-ULRv2, tops XTREME leaderboard

Today, we are happy to announce that Turing multilingual language model (T-ULRv2) is the state of the art at the top of the Google XTREME public leaderboard. Created by the Microsoft Turing team in collaboration with Microsoft Research, the model beat the previous best from Alibaba (VECO) by 3.5 points in average score. To achieve this, in addition to the pretrained model, we leveraged “StableTune,” a novel multilingual fine-tuning technique based on stability training. Other models on the leaderboard include […]

October 19, 2020 AI

How I used NLP (Spacy) to screen Data Science Resumes

Resume making is very tricky. A candidate has many dilemmas, whether to state a project at length or just mention the bare minimum whether to mention many skills or just mention his/her core competency skill whether to mention many programming languages or just cite a few whether to restrict the resume to 2 pages or 1 page These dilemmas are equally hard for Data Scientists looking for a change or even for aspiring Data Scientist. Now before you wonder where […]

October 19, 2020 learning

Stocks, Significance Testing & p-Hacking: How volatile is volatile?

October is historically the most volatile month for stocks, but is this a persistent signal or just noise in the data? Stocks, Significance Testing & p-Hacking. Follow me on Twitter (twitter.com/pdquant) for more. Over the past 32 years, October has been the most volatile month on average for the S&P500 and December the least, in this article we will use simulation to assess the statistical significance of this observation and to what extent this observation could occur by chance. All code […]

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