By Maurits Kaptein, Tilburg UniversityIn my own academic work, and in working with various companies and hospitals, I often face the…
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How to Train an Image Classification Model in PyTorch and TensorFlow
OverviewGet an overview of PyTorch and TensorFlowLearn to build a Convolutional Neural Network (CNN) model in PyTorch to solve an…
Continue ReadingTransfer Learning for NLP: Fine-Tuning BERT for Text Classification
IntroductionWith the advancement in deep learning, neural network architectures like recurrent neural networks (RNN and LSTM) and convolutional neural networks…
Continue ReadingDeploy an Image Classification Model Using Flask
Overview Get an overview of PyTorch and Flask Learn to build an image classification model in PyTorch Learn how to…
Continue ReadingModel Risk Management in the Age of AI
77% of financial services industry professionals expect AI/ML to be extremely important to their business by 2022, while only 16%…
Continue ReadingBest of arXiv.org for AI, Machine Learning, and Deep Learning – May 2020
In this recurring monthly feature, we filter recent research papers appearing on the arXiv. org preprint server for compelling subjects…
Continue ReadingGPT-3, a giant step for Deep Learning and NLP?
“The diversity of tasks the model is able to perform in a zero-shot setting suggests that high-capacity models trained to…
Continue ReadingData Science Demystified: The Data Modeling Proposition
Data science is largely an enigma to the enterprise. Although there’s an array of self-service options to automate its various…
Continue ReadingSpotting Controversy with NLP
By Jo Stichbury, Freelance Technical Writer Environmental, social, and governance (ESG) metrics measure the sustainability and societal impact of an investment in…
Continue ReadingManage and Scale Machine Learning Models for IoT Devices
A common data science internet of things (IoT) use case involves training machine learning models on real-time data coming from…
Continue ReadingRunning Low on Time? Use PyCaret to Build your Machine Learning Model in Seconds
Overview PyCaret is a super useful and low-code Python library for performing multiple machine learning tasks in double-quick time Learn…
Continue ReadingWhich Face is Real? Applying StyleGAN to Create Fake People
A Generative model aims to learn and understand a dataset’s true distribution and create new data from it using unsupervised…
Continue ReadingHow to Develop an AdaBoost Ensemble in Python
Boosting is a class of ensemble machine learning algorithms that involve combining the predictions from many weak learners. A weak…
Continue ReadingHow to Deploy Machine Learning Models using Flask (with Code!)
Overview Deploying your machine learning model is a key aspect of every ML project Learn how to use Flask to…
Continue ReadingA Gentle Introduction to Degrees of Freedom in Machine Learning
Degrees of freedom is an important concept from statistics and engineering. It is often employed to summarize the number of…
Continue ReadingDatabricks Extends MLflow Model Registry with Enterprise Features
We are excited to announce new enterprise grade features for the MLflow Model Registry on Databricks. The Model Registry is…
Continue ReadingGradient Boosting with Scikit-Learn, XGBoost, LightGBM, and CatBoost
Gradient boosting is a powerful ensemble machine learning algorithm. It’s popular for structured predictive modeling problems, such as classification and…
Continue ReadingCan you Lie to your Deep Learning Model?
Can you fool your deep learning model? What does lying to your deep learning model even entail? This question we’re…
Continue ReadingHow to Develop Multi-Output Regression Models with Python
Multioutput regression are regression problems that involve predicting two or more numerical values given an input example. An example might…
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My Python Pandas Cheat SheetThe pandas functions I use every day as a data scientist and software…Scheduled Web Scraping with Django…
Continue ReadingPyTorch Tutorial: How to Develop Deep Learning Models with Python
Predictive modeling with deep learning is a skill that modern developers need to know. PyTorch is the premier open-source deep…
Continue ReadingTim Book
Building A Custom Model in Scikit-LearnScikit-Learn is incredible. It allows its users to fit almost any machine learning model…Cleaner R…
Continue ReadingSoftware Interfaces for Machine Learning Deployment
By Luigi Patruno, Data Scientist and the founder of ML in Production. In our previous post on machine learning deployment, we introduced…
Continue ReadingImbalanced Classification with the Fraudulent Credit Card Transactions Dataset
Fraud is a major problem for credit card companies, both because of the large volume of transactions that are completed…
Continue ReadingImbalanced Classification with the Adult Income Dataset
Many binary classification tasks do not have an equal number of examples from each class, e. g. the class distribution…
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