DagsHub

JULY 25, 2024

Source: Author Introduction Deep learning, a branch of machine learning inspired by biological neural networks, has become a key technique in artificial intelligence (AI) applications. Deep learning methods use multi-layer artificial neural networks to extract intricate patterns from large data sets.

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Deep Learning Deep Learning Machine Learning Machine Learning 52

DataRobot

FEBRUARY 10, 2021

Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD by Jeremy Howard and Sylvain Gugger is a hands-on guide that helps people with little math background understand and use deep learning quickly. The following figure shows the Python code and how it led to data after November 2011.

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Machine Learning Machine Learning Data Scientist Deep Learning 98

Heartbeat

JULY 27, 2023

If you’ve only been programming in Python land your whole life, and have no clue what I mean when I say map, you can think of it as no different than a Python dictionary. For example, “Features” would have to become: Again, if you’ve only ever programmed in Python, or something of the sort, this might seem strange to you.

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Deep Learning Deep Learning Python ML 52

AWS Machine Learning Blog

DECEMBER 14, 2023

This post is co-authored by Anatoly Khomenko, Machine Learning Engineer, and Abdenour Bezzouh, Chief Technology Officer at Talent.com. Established in 2011, Talent.com aggregates paid job listings from their clients and public job listings, and has created a unified, easily searchable platform.

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ETL AWS ML ML 104

AWS Machine Learning Blog

OCTOBER 23, 2023

This post is co-authored by Anatoly Khomenko, Machine Learning Engineer, and Abdenour Bezzouh, Chief Technology Officer at Talent.com. Founded in 2011, Talent.com is one of the world’s largest sources of employment. It’s designed to significantly speed up deep learning model training. The model is replicated on every GPU.

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AWS Deep Learning Deep Learning Machine Learning 112

Mlearning.ai

JULY 30, 2023

Identifying important features using Python Introduction Features are the foundation on which every machine-learning model is built. Different machine-learning paradigms use different terminologies for features such as annotations, attributes, auxiliary information, etc. Hence, it is easy to import and use in Python.

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Python Machine Learning Machine Learning Algorithm 52

IBM Data Science in Practice

JULY 5, 2023

These handlers might be complex pre-trained deep learning models, like MolFormer or ESM, or simple algorithms like the morgan fingerprint. Ensemble learning Ensemble method combines the predictions trained on different GNN embeddings provided by different pretrained models. Nucleic Acids Research, 40(D1):D1100–D1107, 09 2011.

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