Deep Learning, NLP, NMT, AI, ML
Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. EVENT Register now for Research Forum on September 3 Discover what’s next in the world of AI at Microsoft Research Forum
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When we analyze relationships between variables in machine learning, we often find that a straight line doesn’t tell the whole story. That’s where polynomial transformations come in, adding layers to our regression models without complicating the calculation process. By transforming our features into their polynomial counterparts—squares, cubes, and other higher-degree terms—we give linear models the flexibility to curve and twist, fitting snugly to the underlying trends of our data. This blog post will explore how we can move beyond simple […]
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Image by Editor | Ideogram As we progress through 2024, machine learning (ML) continues to evolve at a rapid pace. Python, with its rich ecosystem of libraries, remains at the forefront of ML development. In this post, we’ll explore the top 10 Python libraries dominating the ML scene in 2024, how the field has changed since 2020, and the key trends that have emerged. Evolution from 2020 to 2024 2020: The Foundation Years In 2020, established libraries like TensorFlow, PyTorch, […]
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Everything You Need to Know About the Hugging Face Model Hub and CommunityImage by Editor | Ideogram Hugging Face has significantly contributed to the breakthrough of machine learning application technology, especially in the NLP field. They could contribute a lot because Hugging Face focuses on building a platform for the community to easily access models, tools, and datasets to the public. That’s why Hugging Face has become a place to contribute to and showcase many machine learning works. As the […]
Read moreThis course covers two problems from introductory astronomy to help you play with some Python libraries. You’ll use Astropy, NumPy, Matplotlib, and pandas to find planet conjunctions, and graph the best viewing times for a star. In this course you’ll learn about: Astronomy concepts of conjunction and optimal viewing The Python package Astropy Using pandas to process data Building graphs with Matplotlib Python’s warning module What’s Included: Downloadable Resources:
Read moreWatch Now This tutorial has a related video course created by the Real Python team. Watch it together with the written tutorial to deepen your understanding: Python Basics: Setting Up Python Installing the latest version of Python on your computer could be a common requirement for you as a Python programmer. Fortunately, you’ll have a multitude of installation options. For example, you can download the official Python installer from Python.org, use your operating system’s package manager or app store, and […]
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Basic Statistical Analysis with NumPy Introduction Statistical analysis is important in data science. It helps us understand data better. NumPy is a key Python library for numerical operations. It simplifies and speeds up this process. In this article, we will explore several functions for basic statistical analysis offered by NumPy. NumPy is a Python library for numerical computing. It helps with working on arrays and mathematical functions. It makes calculations faster and easier. NumPy is essential for data analysis and […]
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Linear regression models are foundational in machine learning. Merely fitting a straight line and reading the coefficient tells a lot. But how do we extract and interpret the coefficients from these models to understand their impact on predicted outcomes? This post will demonstrate how one can interpret coefficients by exploring various scenarios. We’ll explore the analysis of a single numerical feature, examine the role of categorical variables, and unravel the complexities introduced when these features are combined. Through this exploration, […]
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Image by Pexels (Photo by Balázs Utasi) Bayesian statistics constitute one of the not-so-conventional subareas within statistics, based on a particular vision of the concept of probabilities. This post introduces and unveils what bayesian statistics is and its differences from frequentist statistics, through a gentle and predominantly non-technical narrative that will awaken your curiosity about this fascinating topic. Introduction Statistics constitutes an invaluable set of methods and tools for analyzing and making decisions based on data. Their application in various […]
Read moreGEHRKE: Welcome, Lex. LEX STORY: Oh, thank you. GEHRKE: Really great to have you here. Can you tell us a little bit about what you’re doing here at MSR (Microsoft Research) … STORY: OK. GEHRKE: … and how did you actually end up here? STORY: Well, um, within MSR, I actually work in the hardware prototype, hardware development. I find solutions for the researchers, especially in the areas of developing hardware through various fabrication and industrial-like methods. I’m a model […]
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