How to Train MAML(Model-Agnostic Meta-Learning)
Author(s): Sherwin Chen Originally published on Towards AI. An elaborate explanation for MAML and more Top highlight Source: Pixabay Model-Agnostic Meta-Learning(MAML) has been growing more and more popular in the field of meta-learning since it’s first introduced by Finn et al. in …
Why Precision and Recall metric?
Author(s): Jalal Mansoori Originally published on Towards AI. What is a Class-imbalanced dataset? Image by Author Before answering the above question let me tell you my experience when I was learning about the evaluation of learning algorithms in classification problems. Currently, I …
Data Science 101 — A Short Course on Medium Platform with R and Python Code Included
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Data Science 101 is intended for individuals that have some prior exposure or knowledge in data science concepts and are interested in practical applications beyond what is offered in most introductory-level data …
EMI: Exploration with Mutual Information
Author(s): Sherwin Chen Originally published on Towards AI. A novel exploration method based on representation learning Source: Photo by Andrew Neel on Unsplash Reinforcement learning could be hard when the reward signal is sparse. In these scenarios, exploration strategy becomes essentially important: …
New Model for Word Embeddings which are Resilient to Misspellings (MOE)
Author(s): Edward Ma Originally published on Towards AI. Photo by Edward Ma on Unsplash Traditional word embeddings are good at solving lots of natural language processing (NLP) downstream problems such as documentation classification and named-entity recognition (NER). However, one of the drawbacks …
Artificial Intelligence Without the Utopian Promise-land and Dystopian Armageddon
Author(s): Davor Petreski Originally published on Towards AI. The Future of AI U+007C Towards AI Before you start reading, think of 3 possible scenarios for the future of Artificial Intelligence (AI). If I asked you to think of 3 possible scenarios for …
Stop Calling Automation AI… and the Natural Progression of Intelligent Machines
Author(s): Junis Alico Originally published on Towards AI. Defining Automation and AI U+007C Towards AI Photo credit: Image by Gerd Altmann In the last few years, I’ve noticed a lot of C-level executives use AI in their keynote speeches and television appearances. …
DateTime Manipulations with Python
Author(s): Bindhu Balu Originally published on Towards AI. In Python, date, time, and DateTime classes provide a number of functions to deal with dates, times, and time intervals. Date and DateTime are an object in Python, so when you manipulate them, you …
PEARL: Probabilistic Embeddings for Actor-Critic RL
Author(s): Sherwin Chen Originally published on Towards AI. A sample-efficient meta reinforcement learning method Top highlight Source: Unsplash Meta reinforcement learning could be particularly challenging because the agent has to not only adapt to the new incoming data but also find an …
How South Africa Is Solving One of HPC’s Biggest Challenges
Author(s): Jan Rowell Originally published on Towards AI. The Future of HPC Leadership U+007C Towards AI A strategic approach to a student cluster competition nets top prizes and helps address a critical skills shortage High-performance computing (HPC) drives economic growth and scientific …
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