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Towards AI Categories
Author(s): Towards AI Editorial Team Originally published on Towards AI. Source: Pexels Categories Below please find all of the categories for Towards AI in alphabetical order (A-Z) Last updated, March 1, 2021 U+1F916 Towards AI, the data-driven community, discusses artificial intelligence, data …
Docker — Containerization for Data Scientists
Author(s): Dhilip Subramanian Originally published on Towards AI. Top highlight Image by Markus Distelrath from Pixabay Data Science A simple explanation to containerization with Docker Data scientists come from different backgrounds. In today’s agile environment, it is highly essential to respond quickly …
Evaluation Metrics for Classification Problems
Author(s): Edward Ma Originally published on Towards AI. Data Science 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 …
Key Machine Learning Definitions
Author(s): Roberto Iriondo Originally published on Towards AI. Machine Learning Source: Pexels Below please find a searchable glossary of terms that are relevant to the scientific field of machine learning — on ongoing growth. This glossary is by no means complete. If …
NLP News Cypher | 05.17.20
Author(s): Ricky Costa Originally published on Towards AI. Photo by Sherly Tay on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher U+007C 05.17.20 Oasis You may have heard, Elon Musk isn’t very happy. And it didn’t help when the Head …
Create a Dataset for Object Detection
Author(s): Pushkar Pushp Originally published on Towards AI. Computer Vision Create a Dataset for Object Detection Source: Unsplash Introduction The first step for most computer vision tasks such as classification, segmentation, or detection is to have custom data for your problem set. …
Tips for a Successful Ph.D. in Machine Learning
Author(s): Ali S. Razavian Originally published on Towards AI. Education Photo by Mahdi Dastmard on Unsplash Ph.D. is one of the few practices that almost no one does it twice. There are lots of people with multiple M.Sc.s or are repeat entrepreneurs. …
NLP News Cypher | 05.10.20
Author(s): Ricky Costa Originally published on Towards AI. Photo by Hendrik Cornelissen on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher U+007C 05.10.20 Traveler And we’re back. We’ve released another update to the Big Bad NLP Database! Another 50 datasets …
Sign Language Classification Using Monk AI
Author(s): Shubham Gupta Originally published on Towards AI. Computer Vision Sign language is a communication tool for deaf and dumb people in which hand, facial and body movements are used to communicate. There are over 135 different sign languages all around the …
Linear Regression Explained
Author(s): Daksh Trehan Originally published on Towards AI. Explaining Linear Regression as easy as it could be. Designed on canva.com by Daksh Trehan It is often the first machine-learning algorithm to be taught due to its fundamental nature. It is part of …
Linear Regression Explained
Author(s): Daksh Trehan Originally published on Towards AI. Explaining Linear Regression as easy as it could be. Designed on canva.com by Daksh Trehan It is often the first machine-learning algorithm to be taught due to its fundamental nature. It is part of …
Best Machine Learning Blogs to Follow in 2020
Author(s): Roberto Iriondo Originally published on Towards AI. References Source: Pixabay From researchers to students, industry experts, and machine learning (ML) enthusiasts — keeping up with the best and the latest machine learning research is a matter of finding reliable sources of …
Data Science, Alexander of the Times Ahead
Author(s): Saiteja Kura Originally published on Towards AI. Now, where is the opportunity for data scientists here? Why is it such a lucrative profession to be in? Designed using Canva. Raise your hands if you ever heard about Data Science! It has …
Estimating a Classifier Performance Just by Looking at the Distributions
Author(s): Michelangiolo Mazzeschi Originally published on Towards AI. Most of the time, when our AI is not performing as we wish, we might blame the algorithms behind the model. However, a programmer with enough experience knows that the quality of the data …
Outline
Author(s): Sik-Ho Tsang Originally published on Towards AI. Review: DBPN & D-DBPN — Deep Back-Projection Networks For Super-Resolution (Super Resolution) Iterative Up & Down Projection Units, Outperforms SRCNN, FSRCNN, VDSR, DRCN, DRRN, LapSRN, and EDSR In this story, Deep Back-Projection Networks (DBPN) …
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