Hands-On Theano: One of the Most Powerful Scientific Tools for Python
Author(s): Tommaso De Ponti Originally published on Towards AI. Get started or improve your Machine Learning/Data Science projects by using Theano Photo by Franck V. on Unsplash In my previous article, I mentioned 13 Data Science libraries for Python and I also …
What The COVID-19 Epidemic Models Are Not Telling You
Author(s): Gabriel dos Santos Gonçalves Originally published on Towards AI. Report 9 — Impact of non-pharmaceutical interventions (NPIs) to reduce COVID-19 mortality and… Photo by Free To Use Sounds on Unsplash The story we know until this point is the following: The …
Spotting Controversy with NLP
Author(s): Jo Stichbury Originally published on Towards AI. Applying BERT to analyze ESG topics in financial services In this article, I’ll introduce you to a hot-topic in financial services and describe how a leading data provider is using data science and NLP …
Data Visualisation using Pandas and Plotly
Author(s): Saiteja Kura Originally published on Towards AI. Source — Dribbble Let us imagine you are trying to convince a client to invest in your company. You exhibit all the employee’s records and their achievements in the form of an excel sheet …
9 ???? Object Detection Datasets
Author(s): Akula Hemanth Kumar Originally published on Towards AI. Photo by Jimmy Chang on Unsplash Starter code Available using Monk Libraries In this article, I am going to share a few datasets for Object Detection. Starter code is provided in Github and …
Beginners Guide to Machine Learning: Data Pre-processing using Python.
Author(s): Anushkad Originally published on Towards AI. The journey of learning machine learning is super long but yet very exciting! If you are a beginner, this blog is just what you need to get your head start! Data processing is the first …
NLP News Cypher | 04.26.20
Author(s): Ricky Costa Originally published on Towards AI. Photo by Cherise Evertz on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher U+007C 04.26.20 Recursion Last week was a whirlwind. Thank you for your support. U+1F92F If you’re not in the …
Artificial Intelligence in Logistics — Maximizing Operational Efficiency
Author(s): Maruti Techlabs Originally published on Towards AI. With growing complexity and interconnectivity in the supply chain industry, technology like artificial intelligence and machine learning has become central to logistics management. Firms across the globe are increasingly implementing AI to streamline and …
A Data Scientist’s Guide To Getting Started With Kubernetes On AWS
Author(s): ___ Originally published on Towards AI. Overview Source: https://aws.amazon.com/eks/ In this article, I will share how to use Kubernetes to run data science workloads. I will begin by showing how to set up a Kubernetes cluster on AWS. Then, I will …
Can we build an AI model to understand what gangs are talking about and prevent gang violence?
Author(s): Rudradeb Mitra Originally published on Towards AI. Preventing Gang Violence by analyzing Tweets “Some believe that bolstering school security will deter violence, but this reactionary measure only addresses part of the problem. Instead, we must identify threats, mitigate risk, and protect …
How to Run Jupyter Notebooks on MacOS Catalina — in Four Steps
Author(s): Pushkar Pushp Originally published on Towards AI. How to Run Jupyter Notebooks on MacOS Catalina — in Four Steps In my previous blog, I walked you through all steps to run a jupyter notebook. If you’re a data scientist or developer …
28 Words About Optimization, Every AI-Savvy Leader Must Know
Author(s): Yannique Hecht Originally published on Towards AI. Artificial Intelligence Think you can explain these? Put your knowledge to the test! [This is the 4th part of a series. Make sure you read about Search, Knowledge, and Uncertainty before continuing. The next …
Why Switch to Convolutional Neural Networks?
Author(s): Suraj Dubey Originally published on Towards AI. Deep Learning Photo by Bluehouse Skis on Unsplash “Whatever you are studying right now, if you are not getting up to speed on deep learning, neural networks, etc., you lose. We are going through …
LSTM for Time-series: Chaos in the AI Industry
Author(s): Michelangiolo Mazzeschi Originally published on Towards AI. Machine Learning LSTM is one of the most common neural networks for forecasting time-series. Unfortunately, this kind of neural network is complex (data preparation in particular), not only because time-series data requires a specific …
Evaluation Metrics are What You Need to Define in the Earlier Stage
Author(s): Edward Ma Originally published on Towards AI. Statistics Photo by Edward Ma on Unsplash If you do not know how to justify whether model is good or not, it is similar to you want to get something but you do not …
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