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 …
Data Scientist Interview Process — A Personal Experience
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Discussion about different stages of the interview process for a typical Data Scientist role Image Source: Forbes Are you a data scientist aspirant? Are you currently applying for data scientist positions? Do …
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 …
Beginner’s Guide to Writing Data Science Blogs on Medium
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Are you new on Medium? Are you interested in writing data science articles and publishing these on Medium? This article will discuss the stages involved in writing a good data science article …
Analysis of the Learning Rate in Gradient Descent Algorithm Using Python
Author(s): Jalal Mansoori Originally published on Towards AI. In this tutorial, you’ll learn, implement, visualize the Performance of Gradient descent by trying different sets of learning rate values. Image by Author. Gradient Descent EquationWhat is Linear regression?What is Gradient Descent?Comparison between different …
Example 1: Extract a Table from PDF File Using Python
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Demonstration of parsing PDF files using Python & R API Top highlight Data is key for any analysis in data science, be it inferential analysis, predictive analysis, or prescriptive analysis. The predictive …
Address Limitation of RNN in NLP Problems by Using Transformer-XL
Author(s): Edward Ma Originally published on Towards AI. Limitations of recurrent neural networks Photo by Joe Gardner on Unsplash Recurrent Neural Network (RNN) offers a way to learn a sequence of inputs. The drawback is that it is difficult to optimize due …
Machine Learning Model for Stochastic Processes
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Abstract: Using the loan_timing.csv dataset provided, we built a simple model using the Monte Carlo simulation for predicting the fraction of loans that will default after the 3-year duration of the loan. …
Baby Steps to TensorFlow
Author(s): Lawrence Alaso Krukrubo Originally published on Towards AI. Tutorial on Creating a Simple TensorFlow Model U+007C Towards AI Training your first Tensorflow based Neural Network model for Celsius to Fahrenheit conversion TensorFlow is an open-source machine learning library for research and …
Unified Language Model Pre-training for Natural Language Understanding and Generation
Author(s): Edward Ma Originally published on Towards AI. Using UNILM to tackle natural language understanding (NLU) and natural language generation (NLG) Photo by Louis Hansel on Unsplash Recent state-of-the-art NLP pre-trained models also use a language model to learn contextualized text representation. …
Tutorial on Data Visualization: Weather Data
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Weather data analysis and visualization using Python’s Matplotlib Data Visualization is more of an Art than Science. To produce a good visualization, you need to put several pieces of code together for …
Cross-lingual Language Model
Author(s): Edward Ma Originally published on Towards AI. Discussing XLMs and unsupervised cross-lingual word embedding by multilingual neural language models Photo by Edward Ma on Unsplash A pre-trained model is proven to improve the downstream problem. Lample and Conneau propose two new …
The Basics of Recurrent Neural Networks (RNNs)
Author(s): Ben Khuong Originally published on Towards AI. Top highlight Machine Learning Table of contents What are RNNs used for? What are RNNs and how do they work? A trivial example — forward propagation, backpropagation through time One major problem: vanishing gradients …
Artificial Intelligence
Author(s): Dhairya Kumar Originally published on Towards AI. Intro to Machine Learning, No Math Involved U+007C Towards AI Demystifying Machine Learning A gentle introduction to the scientific field of machine learning with no math involved Machine learning is one of the most …
Beginners Guide to Convolutional Neural Network from Scratch — Kuzushiji-MNIST
Author(s): Satsawat Natakarnkitkul Originally published on Towards AI. Machine Learning Figure 1: Convolutional Neural Network (Source: https://en.wikipedia.org/wiki/Convolutional_neural_network) In the previous post, which you can check it out here, I have demonstrated various dimensional reduction techniques on Kuzushiji-MNIST (KMNIST) data set. In this …
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