Big-Data Pipelines with SparkML
Author(s): Lawrence Alaso Krukrubo Data Analysis, Data Science, Machine Learning Creating Apache Spark ML Pipelines for Big-Data Analysis Photo by Rodion Kutsaev on Unsplash Pipelines are a simple way to keep your data preprocessing and modeling code organized. Specifically, a pipeline bundles preprocessing and modeling …
Explain Your Machine Learning Predictions With Kernel SHAP (Kernel Explainer)
Author(s): Chetan Ambi How to interpret your machine learning predictions with Kernel Explainer using SHAP library Continue reading on Towards AI » Published via Towards AI …
How to Choose the Best Nearest Neighbors Algorithm
Author(s): Marie Stephen Leo A data-driven approach to choose the fastest and most accurate ANN algorithm on your custom dataset Continue reading on Towards AI » Published via Towards AI …
KNN (K-Nearest Neighbors) is Dead!
Author(s): Marie Stephen Leo Long live ANNs for their whopping 380X speedup over sklearn’s KNN while delivering 99.3% similar results. Continue reading on Towards AI » Published via Towards AI …
Making Video Conferencing more Accessible with Machine Learning
Author(s): Jay Gupta Computer Vision, Machine Learning Learn to build an Azure-powered pipeline for the visually impaired or with other disorders Photo by Josh Calabrese on Unsplash The COVID-19 pandemic has pushed organizations to the edge, with most employers resorting to Work-from-Home (WFH) arrangements. …
Feature Transformation and Scaling Techniques
Author(s): Abhay Parashar 9 methods to increase the performance of machine learning models Continue reading on Towards AI » Published via Towards AI …
12 Common Errors in Machine Learning
Author(s): Benjamin Obi Tayo Ph.D. Examining various types of error that can impact the predictive power of a model Continue reading on Towards AI » Published via Towards AI …
Best Machine Learning (ML) Books - Free and Paid - Editorial Recommendations for 2022
Source: Derivative from original, Photo by Patrick Robert Doyle on Unsplash Machine Learning, Editorial Best Machine Learning (ML) Books — Free and Paid — Editorial Recommendations For the past year, we have looked at over 8,371 machine learning (ML) books [1], and we have picked what we …
Morphable Model Explained
Author(s): Anton Lebedev Morphable 3D models are generative models with an intuitive user interface. Let’s find out how they work and build one 3D foot model build by the Neatsy app. 3D modeling is becoming a prominent part of computer science. It is more …
How I Started Tracking My ML Experiments Like a Pro
Author(s): Arunn Thevapalan Only if I can gain back all the time I’ve wasted on Excel sheets. Continue reading on Towards AI » Published via Towards AI …
Human Component in Machine Learning
Author(s): Benjamin Obi Tayo Ph.D. With automation in machine learning, humans are still indispensable to make the connection between data, algorithm, and the real world Continue reading on Towards AI » Published via Towards AI …
Best and Worst Cases of Machine-Learning Models — Part-1
Author(s): Chandrasekhar Gundluru What to use? Continue reading on Towards AI » Published via Towards AI …
Summarization Using Pegasus Model with the Transformers Library
Author(s): Chetan Ambi Generate text summary (extractive or abstractive) using Google’s Pegasus model with Huggingface transformers library Continue reading on Towards AI » Published via Towards AI …
How to Explain Machine Learning to your Manager?
Author(s): Marie Stephen Leo A 10,000-foot view in less than 1000 words Continue reading on Towards AI » Published via Towards AI …
Handling Outliers in Machine Learning
Author(s): Abhay Parashar Simple And Easy To Implement Methods Continue reading on Towards AI » Published via Towards AI …
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