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Multi Page Document Classification using NLP and ML
An approach to classify documents with different variations shapes, text and page sizes. Source: https://unsplash.com/photos/5cFwQ-WMcJU This article describes a novel Multi Page Document Classification solution approach, which leverages advanced machine learning and textual analytics to solve one of the major challenges in the Mortgage industry. Abstract Even in today’s technological era most of (…)
Introduction to Concurrency in Python
PYTHON | PROGRAMMING | CONCURRENCY A guide to speeding up Python code Back in 1965, Gordon Moore predicted that the number of transistors on microchips will double every two years[1]. This prediction is referred to as Moore’s Law. Moore’s Law also states that the price of computing hardware will also half every two years. Source: (…)
Pandas Hacks That I Wish I Had When I Started Out
I still remember the angst associated with learning Pandas and Python; hacks I wish I had earlier in my learning journey G etting started with Pandas and Python can be an angsty experience. In my experience, I had grown to be an intermediate-advanced programmer in Stata. It was in the weeks after I submitted my dissertation to the PhD committee, but before my defense. I had a ton of time on my (…)
Kubernetes Deployment Explained
Learn what is Deployment in the Kubernetes cluster and learn the advantages of the Deployment object. Continue reading on Geek Culture »
Joyplots/Ridgeline plots with JoyPy in Python
Joypy is the python library and joyplot() is the function to plot the figure. There are a few other libraries that have these types of plots: Seaborn, Bokeh I think maybe plotly does too, to name a few. There’s even a package called timely-beliefs that has a pretty gnarly example as well. I don’t know why, but I’ve always thought these were such cool visualizations. (…)
MLOps with MLFlow and Amazon SageMaker Pipelines
Step-by-step guide to using MLflow with SageMaker projects Earlier this year, I published a step-by-step guide to deploying MLflow on AWS Fargate, and using it with Amazon SageMaker. This can help streamline the experimental phase of an ML project. In this post, we will go a step further and automate an end-to-end ML lifecycle using MLflow and Amazon SageMaker Pipelines . SageMaker Pipelines (…)
Top Python Hacks for Finance
With Bitcoin time series data
Building a Data Pipeline with PySpark and AWS
ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Apache Spark is a framework used in cluster computing environments … The post Building a Data Pipeline with PySpark and AWS appeared first on Analytics Vidhya .
Which is Better For Your Machine Learning Task, OpenCV or TensorFlow?
Is one of them really better than the other? An explanation from a ML engineer who uses both frameworks. made by the author Backstory I surf the internet everyday looking for machine learning and computer vision content. I like to stay up-to-date with what’s happening in the field of ML because this is a field that can surprise you almost everyday! One question that I came across a few times is : (…)
Four Deep Learning Papers to Read in August 2021
From Optimizer Benchmarks to Network Dissection, Vision Transformers & Lottery Subspaces Welcome to the August edition of the ‚Machine-Learning-Collage‘ series , where I provide an overview of the different Deep Learning research streams. So what is a ML collage? Simply put, I draft one-slide visual summaries of one of my favourite recent papers. Every single week. At the end of the month all (…)
Using Artificial Intelligence to predict the spread of wildfires, with Python
Here’s a step by step tutorial about how to use Data Analysis and Machine Learning to predict the spread of wildfires During the last several days, terrible wildfires have spread all over Sardinia, Italy and all over the world. The images and videos are heartbreaking. When the summer season starts, these events tend to appear more often, and the final results are catastrophic. One of the reasons (…)
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