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Data cleaning and data augmentation (not only) for text simplification Performance of different models in connection to their cosine similarity, source, and target length (image by author) Introduction This is the second article about my project of text simplification using transformers. If you have not read the first one, feel free to do so, but i ...
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Can anyone else relate to this scenario?
Straight out of an applied math undergrad with an emphasis in Machine Learning, I’ve been worked at this marketing company for 2 months now.
Before getting hired, my interviews were all about my ML experience and side projects, and I was even given a solid ML take-home coding project with data they su ...
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Using GPUs in the Cloud Photo by Moritz Kindler on Unsplash Deep Learning is still a hot topic among machine learning practitioners. Compared to the early days when you spent more time configuring your stack and your deep learning libraries than actually training your models we have come a long way. Opinions may vary but the combination of Keras an ...
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Given the details of a product, where should the price for the product be? Photo by Michael Longmire on Unsplash Table of Contents: Introduction Business Problem Prerequisites Data Source Existing Approaches Understanding the data EDA Data Preprocessing Benchmark Solution First Cut Solution Deep Learning-Based Solution Conclusion Deployment and Pre ...
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A beginner’s guide to using k-Nearest Neighbor Algorithm to build a simple recommender system. Photo by michael weir on Unsplash In this article, we will build a simple cricket player recommendation system that will suggest a list of batsmen for the team based on the statistics of players that have been playing for the team in the past. We will bui ...
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Photo by Naser Tamimi on Unsplash This article will allow you to understand the basis of any machine learning model. With simple words and few formulas, you will get fully proficency in Bayes, the Maximum Likelihood Estimation and the Maximum A Posteriori estimator. Specifically, let’s start discussing about binary classification in terms of probab ...
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Currently, the recommendation system seems so bad it's basically broken. I get videos recommended to me that I've just seen (probably because I've re-"watched" music). I rarely get recommendations from interesting channels I enjoy, and there is almost no diversity in the sort of recommendations I get, despite my diverse interests. I've used the sam ...
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Savin Goyal shares lessons learned by Netflix building their ML infrastructure, and what are some of the tradeoffs to consider when designing or buying a machine learning system. By Savin Goyal
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Turning your ML models into a production-ready API comes with securing it with HTTPS and encrypting data transfer: something a lot of people neglect or take for granted.
HTTPS cannot just be turned on by changing a config file: a few steps are required.
In this post, I detail the process of securing a FastAPI app with HTTPS by using Docker an ...
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Posted by Samuel J. Yang, Research Scientist and Dick Lyon, Principal Scientist, Google Research For the ~466 million people in the world who are deaf or hard of hearing, the lack of easy access to accessibility services can be a barrier to participating in spoken conversations encountered daily. While hearing aids can help alleviate this, simply a ...
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I am hearing more and more stories of online conference paper/poster presentations without anybody other then the presenters themselves showing up. I have heard of situations like that already last year but what's special now (e.g. at ICML) is that it seems to become the standard (except for Google and Standford papers obviously).
This trend pr ...
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Ferrari will use AWS machine learning, analytics, and compute capabilities across the organization, including the Formula One team Scuderia Ferrari. By Daniel Dominguez
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In partnership with EMBL-EBI, were incredibly proud to be launching the AlphaFold Protein Structure Database.
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I am starting a Twitch channel where I start with a random dataset , cleaning and data understanding. I am a novice and this is just to keep myself going as even after months of data science learning I am so not confident in it.
The link to my Twitch Channel :
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In the pursuit of learning about fundamentals of the natural world, scientists have had success with coming at discoveries from both a bottom-up and top-down approach. Neuroscience is a great example of the former. Spanish anatomist Santiago Ramón y Cajal discovered the neuron in the late 19th century. While scientists’ understanding of these build
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Yesterday Olga Tokarczuk (2018 Nobel Prize in Literature) said in an interview that when she thinks about literature, she no longer thinks about books!!!So, how should we effectively tell the most important story in predictive modelling i.e. The story ... Continue reading: The Hitchhiker’s Guide to Responsible Machine Learning
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Neural Architecture Search (NAS) has recently become an interesting area of deep learning research, offering promising results. One such approach, Vanilla NAS, uses search techniques to explore the search space and evaluate new architectures by training them from scratch. However, this may require thousands of GPU hours, leading to a very high comp ...
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We consider a problem: Can a machine learn from a few labeled pixels to predict every pixel in a new image? This task is extremely challenging (see Fig. 1) as a single body part could contain visually distinctive areas (e.g. head consists of eyes, noses and mouths); different body parts might look similar and undistinguishable (e.g., upper arms v.s
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Artificial intelligence for IT operations (AIOps) combines sophisticated methods from deep learning, data streaming processing, and domain knowledge to analyse infrastructure data from internal and external sources to automate operations and detect anomalies (unusual system behavior) before they impact the quality of service. By Ben Linders
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