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Multiprocessing in Python

When you work on a computer vision project, you probably need to preprocess a lot of image data. This is time-consuming, and it would be great if you could process multiple images in parallel. Multiprocessing is the ability of a system to run multiple processors at one time. If you had a computer with a […]

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Interactive Course on Optimizing Search Engines With Ricardo Baeza-Yates Starting May 10

Sponsored Post Search systems are in the process of being revolutionized by Deep Learning and AI applications. To successfully evaluate, build, deploy and scale information retrieval systems, engineers working with search systems must understand the frameworks and algorithms that underpin this technology. Professors Ricardo Baeza-Yates (Northeastern University) has done research on information retrieval and web […]

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10 seats remaining | A series of live ML strategy workshops

Sponsored Post Unlike traditional online courses, Foster Provost’s workshops will give you the chance to engage live with a world-class expert and an intimate community of industry professionals. So far we have participants from LinkedIn, Spotify, Ralph Lauren, and many other exciting companies joining. There are only 10 seats left, we would love to see […]

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Guide to Iteratively Tuning GNNs

Sponsored Post By Luis Bermudez This blog walks through a process for experimenting with hyperparameters, training algorithms and other parameters of Graph Neural Networks. In this post, we share the first two phases of our experiment chain. The graph datasets that we use to make inferences on come from Open Graph Benchmark (OGB). If you […]

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Web Crawling in Python

In the old days, it was a tedious job to collect data, and it was sometimes very expensive. Machine learning projects cannot live without data. Luckily, we have a lot of data on the web at our disposal nowadays. We can copy data from the web to create our dataset. We can manually download files […]

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Massaging Data Using Pandas

When we talk about managing data, it is quite inevitable to see data presented in tables. With column header, and sometimes with names for rows, it makes understanding data easier. In fact, it often happens that we see data of different types staying together. For example, we have quantity as numbers and name as strings […]

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Very Deep Neural Networks Explained in 40 Seconds

By Vincent Granville, Ph.D., Author at MLtechniques.com Sponsored Post Very deep neural networks (VDNN) illustrated with data animation: a 40 second video, featuring supervised learning, layers, neurons, fuzzy classification, and convolution filters. It is said that a picture is worth a thousand words. Here instead, I use a video to illustrate the concept of very deep […]

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