Baseball Pitch Prediction
Author(s): Shafin Haque Credits Predicting the next pitch in baseball with machineΒ learning Introduction Dodgerβs shortstop Corey Seager is up to bat with two outs in the ninth inning. Fastball inside, he makes contactβ¦ grounder to second, and heβs out. And the …
Transfer Learning
Author(s): Johar M. Ashfaque Source: Unsplash Transfer learning is a machine learning method where a model developed for a task is reused as the starting point for a model on a second task. It is a popular approach in deep learning where …
How I Use Docker To Train Rasa 2.1.x Bots On A GPU
Author(s): ___ Train your model without messing around with CUDA and cuDNN drivers Continue reading on Towards AI Β» Published via Towards AI …
Fully Explained Linear Regression with Python
Author(s): Amit Chauhan How the regression problem is solved with a real-life example. Continue reading on Towards AI Β» Published via Towards AI …
How to add Julia to Jupyter Notebook
Author(s): Chetan Ambi Take your first steps towards Julia for Machine Learning Continue reading on Towards AI Β» Published via Towards AI …
Exploring The Last Trends of Random Forest
Author(s): Barak Or The random forest model is considered one of the promising ML ensemble models that recently became highly popular. In this post, we review the last trends of the randomΒ forest. Image byΒ Author Ensemble Models-Intro An ensemble considers multiple learning models …
Brief Introduction to Model Drift in Machine Learning
Author(s): Chetan Ambi What is model drift, different types, how to detect model drift, and how to tackle it Continue reading on Towards AI Β» Published via Towards AI …
5 Steps to Build a KNN Classifier
Author(s): Florian Geiser Using Python and sci-kit learn to build a simple k-nearest neighbor classification. Continue reading on Towards AI Β» Published via Towards AI …
Big-Data Pipelines with SparkML
Author(s): Lawrence Alaso Krukrubo Data Analysis, Data Science, MachineΒ Learning Creating Apache Spark ML Pipelines for Big-DataΒ Analysis Photo by Rodion Kutsaev onΒ 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 Β» 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 Β» 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 Β» Published via Towards AI …
Making Video Conferencing more Accessible with Machine Learning
Author(s): Jay Gupta Computer Vision, MachineΒ Learning Learn to build an Azure-powered pipeline for the visually impaired or with other disorders Photo by Josh Calabrese onΒ 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 Β» 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 Β» Published via Towards AI …