Jupyter Notebook Keyboard Shortcuts for Beginners
Author(s): Magdalena Konkiewicz Originally published on Towards AI. Learn the most important shortcuts to improve your productivity while working with Jupyter notebook editor. Photo by cocoparisinenne on Pixabay When you start with Jupyter notebook most of the people use the menu bar …
AI for Good: Fighting COVID-19 with Data Science
Author(s): Tadeusz Bara-Slupski Originally published on Towards AI. This is the first of two articles about our recent participation in the Pandemic Response Hackathon. Stay tuned for technical details of our CoronaRank solution (Markov Chains, R, Shiny, and how to manipulate a …
3 Ways Linear Models Can Lead to Erroneous Conclusions
Author(s): ___ Originally published on Towards AI. In this article, I will share 3 ways in which linear models can lead to erroneous conclusions. The focus will be on fitting linear models to simulated data and checking whether the resultant estimates are …
Disentangled Representation Learning for Non-Parallel Text Style Transfer
Author(s): Anchit Bhattacharya Originally published on Towards AI. Paper Summary Vineet John, Lili Mou, Hareesh Bahuleyan, Olga Vechtomova Disentangling hidden layers of a neural network give us more control and understanding of a neural network Photo by Steve Johnson on Unsplash In …
Review: DCNv2 — Deformable ConvNets v2 (Object Detection & Instance Segmentation)
Author(s): Sik-Ho Tsang Originally published on Towards AI. Enhanced DCN / DCNv1, More Deformable, Better Results Deformable RoI Pooling In this article, Deformable ConvNets v2 (DCNv2), by the University of Science and Technology of China and Microsoft Research Asia (MSRA), is reviewed. …
How do Twins and Triplet Neural Network work
Author(s): Edward Ma Originally published on Towards AI. Photo by Ralph Mayhew on Unsplash As a practitioner, we usually build a multiclass classification model which is a predefined number of categories. Indeed, we do not need to know the total number of …
Serving Data Science to a Rookie
Author(s): Daksh Trehan Originally published on Towards AI. So, last week my team head asked me to interview some of the possible interns for the team for the role of data science and machine learning, and he forwarded me their resumes. He …
AI in Marketing for Startups & Non-technical Marketers
Author(s): Nicolás Vargas Originally published on Towards AI. A practical guide for non-technical people Photo by Kevin Ku on Unsplash AI is currently a “hot topic” it has tons of media coverage, and public discussions are through the roof. It is meant …
Implications for the Data-Driven Businesses
Author(s): Chan Naseeb Originally published on Towards AI. What do businesses achieve, once they start their journey to become a data-driven enterprise? In this blog, I will discuss what you would obtain if you would become a Data-Driven business. Photo by Chris …
27 Words About Search Algorithms, 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! The number of jobs artificial intelligence will ultimately transform is everyone’s guess. Most predictions, including Deloitte’s, are in the range of …
Seven Steps to Success: A Seven-step Guide to Learn and Master Machine Learning (ML)
Author(s): Anushkad Originally published on Towards AI. In case you dream of becoming a data scientist or an ML engineer, you’re at the right place to begin your journey with. This guide is completely based on my personal experience on how I …
The Advanced Era of Artificial Intelligence(AI): AI Will Now Transform Your Thoughts Into Texts
Author(s): Anushkad Originally published on Towards AI. Recently a system was developed by Joseph Makin and researchers from the University of California, San Francisco, who revealed their findings in the journal Nature Neuroscience. An immensely impressive and astonishing breakthrough may just be …