This article is a part of a series that I’m writing, and where I will try to address the topic of using Deep Learning in NLP. First of all, I was writing an article for an example of text classification using a perceptron, but I was thinking that will be better to review some basics before, as activation and loss functions.Loss function also called the objective function, is … [Read more...] about NLP using Deep Learning Tutorials : Understand Loss Function
Machine Learning
The Impact of Artificial Intelligence on Higher Education
Photo by Pang Yuhao on UnsplashArtificial Intelligence (AI) has already made an impression on higher education. And like businesses in many industries, educators and administrators are cautiously evaluating the pros and cons of AI applications.There are at least two main areas in the Higher Ed. space where AI can substantially improve business processes and academics. Before we … [Read more...] about The Impact of Artificial Intelligence on Higher Education
How to Boost Pandas Functions with Python Dictionaries
Explained with examplesPhoto by Bill Jelen on UnsplashPandas is a highly popular data analysis and manipulation library. Thanks to the simple and intuitive Python syntax, Pandas is usually the first choice for aspiring data scientist. Its powerful and efficient functions make a great amount of experienced data scientists to prefer Pandas as well.Pandas provides a rich selection … [Read more...] about How to Boost Pandas Functions with Python Dictionaries
Driver’s License Data extraction using CNN (yolov5).
Follow these steps to get Driver’s License important information.I’ve collected the data from open online sources, which is our case was for the US Driver’s License. I’ve compiled all the images in one folder and have got it ready for the data preprocessing part.The collected data must be annotated/labeled with the bounding boxes of all regions which we want to detect from the … [Read more...] about Driver’s License Data extraction using CNN (yolov5).
Institutionalizing Ethics in AI Through Broader Impact Requirements « Machine Learning Times
Originally published in Nature Machine Intelligence, Feb, 2021. Turning principles into practice is one of the most pressing challenges of artificial intelligence (AI) governance. In this Perspective, we reflect on a governance initiative by one of the world’s largest AI conferences. In 2020, the Conference on Neural Information Processing Systems (NeurIPS) introduced a … [Read more...] about Institutionalizing Ethics in AI Through Broader Impact Requirements « Machine Learning Times
About Me
Hello Everyone,I’m Swapnil Bobe. I have completed my graduation in the field of Computer Science in 2019 and started Exploring the field of Data Science and this is the first blog I have ever written.We all know that Data Science, Machine learning, and Artificial Intelligence are the most demanding fields in the 21st century and I’m getting more enthusiastic about these fields. … [Read more...] about About Me
An AI is Training Counselors to Deal with Teens in Crisis « Machine Learning Times
Originally published in MIT Technology Review, Feb 26, 2021. Counselors volunteering at the Trevor Project need to be prepared for their first conversation with an LGBTQ teen who may be thinking about suicide. So first, they practice. One of the ways they do it is by talking to fictional personas like “Riley,” a 16-year-old from North Carolina who is feeling a bit down and … [Read more...] about An AI is Training Counselors to Deal with Teens in Crisis « Machine Learning Times
First on Chain — LSTM Neural Nets Coming to the GNY Machine Learning Wallet
Immediately following the launch of GNY Mainnet, the GNY machine learning team will add two fresh neural nets to the ML wallet. In our previous post we detailed our soon to be released word vector neural network. Now within this latest post we will focus on our upcoming LSTM neural network and propose some hypothetical use cases where we believe it will be extremely useful. … [Read more...] about First on Chain — LSTM Neural Nets Coming to the GNY Machine Learning Wallet
I Helped Build ByteDance’s Censorship Machine « Machine Learning Times
Originally published in Protocol, Feb 18, 2021. This is the story of Li An, a pseudonymous former employee at ByteDance, as told to Protocol’s Shen Lu. I wasn’t proud of it, and neither were my coworkers. But that’s life in today’s China. It was the night Dr. Li Wenliang struggled for his last breath in the emergency room of Wuhan Central Hospital. I, like many Chinese web … [Read more...] about I Helped Build ByteDance’s Censorship Machine « Machine Learning Times
How do I compute probabilities for things that I cannot observe?
FAU Lecture Notes in Pattern RecognitionA Short Introduction to Bayes’ TheoremImage under CC BY 4.0 from the Pattern Recognition Lecture.These are the lecture notes for FAU’s YouTube Lecture “Pattern Recognition”. This is a full transcript of the lecture video & matching slides. The sources for the slides are available here. We hope, you enjoy this as much as the videos. … [Read more...] about How do I compute probabilities for things that I cannot observe?