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 …
Reading: ESRGAN — Enhanced Super-Resolution Generative Adversarial Networks (Super Resolution & GAN)
Author(s): Sik-Ho Tsang Originally published on Towards AI. Deep Learning Outperforms SRCNN, EDSR and RCAN, and SRGAN. Also, won the First Place in PIRM2018-SR challenge ESRGAN can have a sharper result than SRGAN In this story, Enhanced Super-Resolution Generative Adversarial Networks (ESRGAN), …
Getting Started With Unix/Linux
Author(s): Pushkar Pushp Originally published on Towards AI. Computing An introduction to Unix/Linux shell scripting (Photo by Jeremy Yap on Unsplash) Introduction Unix is a multi-user operating system built around 1969 at AT&T Bell Labs. The main purpose of UNIX was multi-tasking. …
Clash Royale API: Looping Query for Data Collection
Author(s): Michelangiolo Mazzeschi Originally published on Towards AI. Data Science A few days ago I had the idea of applying factor analysis to the decks of the Clash Royale players in order to classify them into hierarchies. Unfortunately, I realized that I …
Image Processing Based Vehicle Number Plate Detection and Speeding Radar
Author(s): M Khorasani Originally published on Towards AI. Using computer vision to develop an inexpensive DIY speeding and traffic radar Image by author The scope of this tool is to implement an image processing-based traffic radar that detects vehicle number plates and …
Small -> Big -> Massive — VM to BM to Serverless Spark-based Data Science
Author(s): Deepak Sekar Originally published on Towards AI. Cloud Computing We have heard about big data platforms supporting ML workloads with distributed computing. But do you always need a big data platform for your data science workloads? How about the flexibility to …
Elon Musk: “You guys ask way better questions than the mainstream media”
Author(s): Sandeep Aswathnarayana Originally published on Towards AI. News, Technology Elon Musk on Hack Club’s High School Student Members. Ask Me Anything w/ Elon Musk. Featured Image Credit: Hack Club Tesla and SpaceX CEO Elon Musk is donating $500,000 to Hack Club, …
Automatic Movie Review System Using Sentimental Analysis For Positive or Negative Reviews
Author(s): Pushkara Sharma Originally published on Towards AI. Natural Language Processing A great article to understand the basics of sentimental analysis and data scraping by reviewing movies. In this article, we will use machine learning to perform sentimental analysis of reviews available …
Reading: MegDet — A Large Mini-Batch Object Detector, 1st Place of COCO 2017 Detection Challenge (Object Detection)
Author(s): Sik-Ho Tsang Originally published on Towards AI. Computer Vision Large Mini-Batch Size of 256 With Warmup Learning Rate Policy and Cross-GPU Batch Normalization, the training time is reduced From 33 hrs To 4 hrs mmAP increases much faster with 256-batch In …
Stock Downloader API with Alpha Vantage
Author(s): Michelangiolo Mazzeschi Originally published on Towards AI. Finance Full code available on my GitHub repository. In the past few weeks, I scavenged the internet in search of reliable ways to download historical stock prices. Unfortunately, it is not easy to find …