Towards Data Science: Learning Deep Features for Discriminative Localization: Class Activation Mapping
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Today, I will revisit the CVPR 2016 paper, “Learning Deep Features for Discriminative Localization”. Authored by MIT researchers Zhou et…Continue reading on Towards Data Science »

Towards Data Science: 11 best Data Science classes if you’re locked home because of coronavirus
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Kickstart your career without spending a dimeContinue reading on Towards Data Science »

Towards Data Science: Create a web app w/ Coronavirus case data in a blink of an eye — using R, Shiny and Plotly
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Towards Data Science: Finding Similar Names using Cosine Similarity
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Customer data is messy. Here’s a simple method for finding names that look similar.Continue reading on Towards Data Science »

Towards Data Science: Identifying Potential Small Molecule Inhibitors of the COVID-19 Coronavirus
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Can we repurpose old drugs to target Covid-19?Continue reading on Towards Data Science »

Towards Data Science: Understanding Voting Outcomes through Data Science
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After the surprising results of the 2016 presidential election, I wanted to better understand the socio-economic and cultural factors that…Continue reading on Towards Data Science »

Towards Data Science: Predicting survivors of Titanic
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Who will survive a shipwreck? We can use Machine Learning to answer such questions.Continue reading on Towards Data Science »

AWS Machine Learning Blog: Reduce ML inference costs on Amazon SageMaker for PyTorch models using Amazon Elastic Inference
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Today, we are excited to announce that you can now use Amazon Elastic Inference to accelerate inference and reduce inference costs for PyTorch models in both Amazon SageMaker and Amazon EC2. PyTorch is a popular deep learning framework that uses dynamic computational graphs. This allows you to easily develop deep learning models with imperative and […]

Towards Data Science: Forecasting Average Daily Rate Trends For Hotels Using LSTM
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Here is how an LSTM model can be used to forecast the ADR (average daily rate) for hotels — a cornerstone metric within the industry.Continue reading on Towards Data Science »

Towards Data Science: Mapping Avocado Prices in Python with GeoPandas, GeoPy and Matplotlib
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Photo by Peter de Vink from PexelsContinue reading on Towards Data Science »

Towards Data Science: Statistical Decision Theory
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Framework for Machine LearningContinue reading on Towards Data Science »

Towards Data Science: Estimating the Global Growth of Coronavirus
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According to the COVID-19 data aggregated by John Hopkins, there are now over 200 thousand cases of coronavirus globally. And from what it…Continue reading on Towards Data Science »

Towards Data Science: Fine-Tuning the Strategy Using a Particle Swarm Optimization
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Towards Data Science: Don’t learn machine learning
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Towards Data Science: Berlin House Rental Market Analysis
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Am I paying a fair price?Continue reading on Towards Data Science »

Towards Data Science: Knowledge Graphs for Social Good Workshop: Helping the United Nations achieve Sustainable…
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The UN Sustainable Development Goals (SDGs), set in 2015, are a collection of 17 shared global goals intended to improve the health and…Continue reading on Towards Data Science »

Towards Data Science: The Hottest Topics in Machine Learning
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Understand Topic Modeling and Latent Dirichlet Allocation (LDA) in PythonContinue reading on Towards Data Science »

Towards Data Science: The Basics: Time Series and Seasonal Decomposition
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When are time series techniques appropriate and how do you perform decomposition?Continue reading on Towards Data Science »

Towards Data Science: Revisiting a Data Science Totem ~ Variables
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Elevate your data science projects by following these variables’ mapContinue reading on Towards Data Science »

Towards Data Science: 7 Habits of Highly Effective Programmers
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About 40 to 45 percent of what we programmers do every day is something we do on autopilotContinue reading on Towards Data Science »

Monitoring Machine Learning Models in Production

Once you deploy your model to production, the work isn't over. This guide shows how to monitor your models, why that matters, and how to go about implementing your own ML monitoring solutions.

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