Model-Based Meta Reinforcement Learning
Author(s): Sherwin Chen Originally published on Towards AI. Dive into a model-based meta-RL algorithm that enables fast adaptation Image by mrthoif0 from Pixabay Much ink has been spilled on with model-free meta-RL in the previous article. In this article, we present a …
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 Basic Perceptron Model Using Least Squares Method
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Just like the billions of neurons that make up the human nervous system, the perceptron is the basic unit of artificial intelligence. Every thought, action, emotion or decision that we make reflect …
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 …
1000 Books Every CS Major Should Read
Author(s): Jag Singh Originally published on Towards AI. Most computer science and engineering majors have far too much reading on their plate to consider any outside reading of their own. If you’re not reading textbooks or documentation, then you’re probably reading Stack …
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 …
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 …
Prerequisites
Author(s): Thomas Kraehe Originally published on Towards AI. Top highlight Using Google Cloud’s Machine Learning as a Service U+007C Towards AI Analyzing the Mood of Chat Messages with Google Cloud’s Natural Language API With the help of NLP services like the Natural …
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. …
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