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. …
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 …
AI & Ethics — Where Do We Go From Here?
Author(s): Ryan Lynch Originally published on Towards AI. AI & Ethics, Into the Future U+007C Towards AI The topic of ethics comes up a lot when we talk about Artificial Intelligence. “How do we teach an AI to make ethical decisions?”, “Who …
Deploying a Keras Model as an API Using Flask
Author(s): Yan Gobeil Originally published on Towards AI. Using the flask library to deploy a language identifier Keras model into a web app and URL based API. Training a neural network to achieve a specific task is pretty fun and interesting, but …
Machine Learning: Its True Essence
Author(s): Navoneel Chakrabarty Originally published on Towards AI. Conceptually, Machine Learning (ML) is the art of teaching machines. Now, obviously teaching is such that when a student is taught by a teacher/tutor, he is capable of facing and answering any question which …
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. …
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