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. …
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 …
50+ Python 3 Tips & Tricks
Author(s): Eyal Trabelsi Originally published on Towards AI. Programming, Python These Python Gems Will Make Your Code Beautiful and Elegant Here is a list of python tips and tricks to help you write an elegant Python 3 code! This article is divided …
Techniques in Self-Attention Generative Adversarial Networks
Author(s): Sherwin Chen Originally published on Towards AI. Self Attention GAN (SAGAN) U+007C Towards AI Discussion about different approaches of SAGAN like spectral normalization, conditional batch normalization, etc. Image generated by my implementation of SAGAN on celebA dataset after 120k iterations Introduction …
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 …
Introduction
Author(s): Sherwin Chen Originally published on Towards AI. A climbing snail trying to see the outside world U+007C Source: Pinterest Diving Into SNAIL U+007C Towards AI A Simple Neural Attentive Meta-Learner — SNAIL Traditional reinforcement learning algorithms train an agent to solve …
Unlock the potential
Author(s): Maxime Pruvost Originally published on Towards AI. Data Accessibility Credit: Frank V. Technologies powered by AI are being applied to some of the world’s most complex human-development issues. AI has considerable potential to help humans. Today we mostly hear about how …
Attention Is All You Need — Transformer
Author(s): Sherwin Chen Originally published on Towards AI. Positional Encoding Top highlight from https://wall.alphacoders.com/big.php?i=845641 Recurrent Neural Networks(RNNs), Long Short-Term Memory(LSTM) and Gated Recurrent Units(GRU) in particular, have been firmly established as state-of-the-art approaches in sequence modeling and transduction problems. Such models typically …
Getting the data
Author(s): Avishek Nag Originally published on Towards AI. Comparative study of different vector space models & text classification techniques like XGBoost and others In this article, we will discuss different text classification techniques to solve the BBC new article categorization problem. We …
Introduction to the Architecture of Recurrent Neural Networks (RNNs)
Author(s): Manish Nayak Originally published on Towards AI. RNNs Architecture U+007C Towards AI Introduction In my previous post, I explain different ways of representing text as a vector. you can read about Word2Vec, Doc2Vec and you can also find a jupyter notebook …
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