Credit Card Fraud Detection in R: Best AUC Score 99.2%
Author(s): Mishtert T Originally published on Towards AI. Fraud U+007C Anomaly Detection Light GBM Model & Synthetic data points in an imbalanced dataset What’s Light GBM Light GBM is a high-performance gradient boosting (GBDT, GBRT, GBM or MART) framework and is used …
Introduction To Linear Regression
Author(s): Manish Nayak Originally published on Towards AI. Introduction One of the simplest models of machine learning is linear regression, but linear models are building blocks of deep neural networks and they are really important. There are two main classes of supervised …
Introduction to Federated Learning
Author(s): Manish Nayak Originally published on Towards AI. Introduction Any deep learning model learns from the data and that data must be collected or uploading on the server (one machine or in a data center). A most realistic and meaningful deep learning …
Feature Selection and Dimensionality Reduction Using Covariance Matrix Plot
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. 1. Import Necessary Libraries Top highlight This article will discuss how the covariance matrix plot can be used for feature selection and dimensionality reduction. A machine learning algorithm (such as classification, clustering …
10 Questions to Consider Before Pursuing a Career in Data Science
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Analyzing several parameters & conditions before jumping into Data Science career Top highlight Authors: Benjamin O. Tayo and Gideon Takor Benjamin O. Tayo LinkedIn Profile: https://www.linkedin.com/in/benjamin-o-tayo-ph-d-a2717511/ Gideon Takor LinkedIn Profile: https://www.linkedin.com/in/gideon-takor-mba-28835820/ Data …
A Robustly Optimized BERT Pretraining Approach
Author(s): Edward Ma Originally published on Towards AI. What is BERT? Top highlight BERT (Devlin et al., 2018) is a method of pre-training language representations, meaning that we train a general-purpose “language understanding” model on a large text corpus (like Wikipedia), and …
Two Ways to Learn Audio Embeddings
Author(s): Edward Ma Originally published on Towards AI. Speech2Vec with Skip-gram and CBOW Photo by Álvaro Bernal on Unsplash Mel-frequency cepstral coefficients (MFCC), zero-crossing rate are some of classical feature for audio. It can be extracted via the library easily. However, it …
AI Schools — The Schools of the Future
Author(s): Ryan Lynch Originally published on Towards AI. The Schools of the Future, AI Schools U+007C Towards AI Technology is becoming a bigger part of our lives every day. Imagine driving to a new place without your sat-nav, ordering a takeaway without …
Text Mining in Python: Steps and Examples
Author(s): Dhilip Subramanian In today’s scenario, one way of people’s success is identified by how they are communicating and sharing information with others. That’s where the concepts of language come into the picture. However, there are many languages in the world. Each …
The Confusion Matrix for Classification
Author(s): Lawrence Alaso Krukrubo Originally published on Towards AI. Diving Into Confusion Matrix for Classification U+007C Towards AI Understanding Accuracy, Recall, Precision, ROC, AUC and F1-score Confused about The Confusion Matrix? The Confusion-matrix yields the most ideal suite of metrics for evaluating …
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