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How to Perform Basic ML Serving With Python, Docker, and Kubernetes
This tutorial provides a basic, step-by-step example of real-time serving a machine learning (ML) model as a REST API with Python, Docker, and Kubernetes. We’ll build a basic REST API with Python, test it locally with Docker, and deploy our API with Kubernetes. By the way, if you want to go faster, (…)
Dockerizing Shiny Applications
Docker provides isolation to applications. Images are immutable. Running multiple instances of the same image can serve many users at the same time. All these general advantages of containerized applications apply to Shiny apps too. The post Dockerizing Shiny Applications first appeared on (…)
A Simple Guide to Automate Your Excel Reporting with Python
Use openpyxl to automate your Excel reporting with Python.
11 Dimensionality reduction techniques you should know in 2021
Reduce the size of your dataset while keeping as much of the variation as possible
How to Write All of Your SQL Queries in Pandas
A Comprehensive SQL to Pandas dictionary
Boosting Natural Language Processing with Wikipedia | by Nicola Melluso | Apr, 2021
Hands-on Tutorials Using Wikipedia to improve NLP tasks such as Named Entity Recognition and Topic Modeling Natural Language Processing (NLP) is on the rise. Computational Linguistics and Artificial Intelligence are joining their forces fostering breakthrough discovers. While research is focusing (…)
Transform the Python IDE Into a DevOps Tool | by Bruce H. Cottman, Ph.D. | May, 2021
“DevOps is a set of practices that combines software development ( Dev ) and IT operations ( Ops ). It aims to shorten the systems development life cycle and provide continuous delivery with high software quality . DevOps is complementary with Agile software development ; several DevOps aspects (…)
A Guide to Four Deep Learning Layers
The Four Most Important Deep Learning Layers Fully connected, convolution, LSTM & attention all explained Photo by Author — Nepal. This post is about four important neural network layer architectures — the building blocks that machine learning engineers use to construct deep learning models: (…)
Transformers, Explained: Understand the Model Behind GPT-3, BERT, and T5
Original image by Dale Markowitz You know that expression, When you have a hammer, everything looks like a nail ? Well, in machine learning, it seems like we really have discovered a magical hammer for which everything is, in fact, a nail, and they’re called Transformers. Transformers are models (…)
A Comprehensive Guide to Data Analysis using Pandas: Hands-On Data Analysis on IMDB movies data
ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction If you are an aspiring Data Analyst / Data … The post A Comprehensive Guide to Data Analysis using Pandas: Hands-On Data Analysis on IMDB movies data appeared first on Analytics Vidhya .
Beginner’s Guide to Image and Text Similarity
ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction After my latest published article about satellite image analysis “Image … The post Beginner’s Guide to Image and Text Similarity appeared first on Analytics Vidhya .
How to Develop a Weighted Average Ensemble With Python
Weighted average ensembles assume that some models in the ensemble have more skill than others and give them more contribution […] The post How to Develop a Weighted Average Ensemble With Python appeared first on Machine Learning Mastery .
90+ Free ML, Web Development, Data, Computer Science Books for All — Part 1 | by Naina Chaturvedi | Apr, 2021
Because education should be free…( download today!!) Naina Chaturvedi Apr 25 · 9 min read Foundations of Computer Science — Al Aho and Jeff Ullman Algorithm Design — Jon Kleinberg and Éva Tardos Algorithms and Complexity — Herbert S. Wilf Algorithms Course Materials — Jeff Erickson The Art of (…)
A Gentle Introduction to Audio Classification With Tensorflow
Deep Learning Applying deep learning to classify audio with Tensorflow Source: https://www.tensorflow.org/tutorials/audio/simple_audio We have seen a lot of recent advances in deep learning related to vision and language fields, it is intuitive to understand why CNN performs very well on images, (…)
Object Orientated Programming With Python – Everything You Need to Know | Better Data Science
Learn the essentials of Object Orientated Programming with Python and understand how to use the OOP paradigm to develop Python applications.
Kluczowe role w projekcie Machine Learning
Dlaczego większość projektów Machine Learning nie odnosi sukcesu lub wręcz upada? Jakie są kluczowe role, aby projekt miał szansę przeżyć i przynieść wymierne korzyści? Posłuchaj tego odcinka podcastu lub przeczytaj artykuł, aby odpowiedzieć na te i wiele innych pytań, które zwiększają szansę na (…)
Clustering news articles based on named entities
Clustering News Articles Based on Named Entities How to group real-time news in Spanish by people, locations and organisations In this article, I would like to share my Masters thesis on NLP with you. Even though I completed it a couple of years ago it wasn’t until now that I thought it would be (…)
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