Setting up Alpaca API for algorithmic trading
Author(s): Michelangiolo Mazzeschi Placing orders to the brokerage by using an API. Full reference code available at this repo. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Topic Modeling Open Source Tool
Author(s): Opeyemi Bamigbade Originally published on Towards AI. A tool built with Python and Streamlit for topic modeling image by tommyboland A large amount of data is being generated and collected in different forms every second. Obtaining the right, relevant, and desired …
Topic Modeling Open Source Tool
Author(s): Opeyemi Bamigbade Originally published on Towards AI. A tool built with Python and Streamlit for topic modeling image by tommyboland A large amount of data is being generated and collected in different forms every second. Obtaining the right, relevant, and desired …
Data Science: It’s Not Only About the Language you Choose
Author(s): Benjamin Obi Tayo Ph.D. The fundamental skill in data science is mastering logical reasoning and flow of the process, not the programming language used Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Topic Modeling Open Source Tool
Author(s): Bamigbade Opeyemi A tool built with python and streamlit for topic modelling Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
3 Steps to Improve Artificial Intelligence in Healthcare
Author(s): Avishek Choudhury Artificial Intelligence, Research Optimal Trust, Data Governance, and AI Standards can solve many problems concerning AI in healthcare. Photo by Owen Beard on Unsplash Accuracy, precision, recall and other measures of AI efficacy are crucial but not sufficient. Will you …
Building a Super-resolution Image Web-app
Author(s): Aanisha Bhattacharyya Originally published on Towards AI. In this article, we will build a web-app trained on the SRCNN model. The super-resolution web-app On giving an image as input, it reconstructs a higher resolution image of the same. I made this …
6G And Its Implications For AI
Author(s): Frederik Bussler Exploring Samsung’s 6G white paper. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
The Fundamentals of Neural Architecture Search (NAS)
Author(s): Arjun Ghosh Machine Learning Neural Architecture Search (NAS) has become a popular subject in the area of machine-learning science. Commercial services such as Google’s AutoML and open-source libraries such as Auto-Keras [1] make NAS accessible to the broader machine learning environment. …
Arithmetic Mean and Its Applications in Data Analytics
Author(s): Mahbubul Alam From averaging monthly expenses to machine learning algorithms — wide-spread use cases of arithmetic mean. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Chest X-Ray Abnormality Classification Using Monk AI
Author(s): Kushagra Awasthi Making computer vision easy with Monk, low code Deep Learning tool and a unified wrapper for Computer Vision. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Demystifying Principal Component Analysis
Author(s): Abhijit Roy Photo by Antoine Dautry on Unsplash Data Science Data visualization has always been an essential part of any machine learning operation. It helps to get a very clear intuition about the distribution of data, which in turn helps us to …
State of AI in 2020: Where the Industry is Evolving
Author(s): Michelangiolo Mazzeschi AI is one of the most rapid industry to be subject to changes. After having gained enough experience in the sector, I have been writing a… Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Introduction to Bayesian Inference
Author(s): ___ Originally published on Towards AI. A Distribution With No Constraints Top highlight In this article, I will explain what the maximum entropy principle is, how to apply it and why it’s useful in the context of Bayesian inference. The code …
Bayesian Inference: The Maximum Entropy Principle
Author(s): ___ A visual explanation of the intuition behind the The Maximum Entropy Principle Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
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