Heuristic Solutions
Author(s): Saman Siadati The shortcut for optimization problems Continue reading on Towards AI » Published via Towards AI …
What’s in the TensorFlow Federated(TFF) box?
Author(s): Bala Priya Machine Learning Based on Krzysztof Ostrowski’s talk at OpenMined Privacy Conference 2020 Photo by Josh Calabrese on Unsplash Krzysztof Ostrowski is a Research Scientist at Google, where he heads the TensorFlow Federated development team. This blog post is inspired by …
Explainable Monitoring for Successful Impact with AI Deployments
Author(s): Anusha Sethuraman Artificial Intelligence Training and deploying ML models are relatively fast and cheap, but operationalization — maintaining, monitoring, and governing models over time — is difficult and expensive. An Explainable ML Monitoring system extends traditional monitoring to provide deep model insights with actionable steps. …
Scatter Plot and Line Chart Dashboard in Plotly with Python
Author(s): Amit Chauhan Visualization with Plotly Continue reading on Towards AI » Published via Towards AI …
How to Share your Machine Learning Models with Shiny
Author(s): George Pipis A walk-through example of an interactive Shiny Apps Continue reading on Towards AI » Published via Towards AI …
7 Instructors Released a Free 5-Week Data Science Bootcamp
Author(s): Frederik Bussler Here’s what one student had to say. Continue reading on Towards AI » Published via Towards AI …
Leveling Up Your Travel Agent Skills Through NLP (Part I)
Author(s): Navish Natural Language Processing A Beginners Guide to NLP Preprocessing & Topic Modelling with a Use Case Have you seen the movie Arrival? It stars Amy Adams, as a Linguist, where aliens have “arrived” at Earth and she is chosen (by the …
AWS Redshift ETL using Pandas API
Author(s): Vivek Chaudhary Cloud Computing The Objective of this blog is to perform a simple ETL exercise with AWS Redshift Database. Oracle Database tables are used as the source dataset, perform simple transformations using Pandas methods on the dataset and write the …
5 Most Commonly Used Distance Metrics in Machine Learning
Author(s): Chetan Ambi Different types of distance metrics used in Machine Learning Continue reading on Towards AI » Published via Towards AI …
How AI Will End the One-Size-Fits-All Approach in Human Assessment
Author(s): Okan Bulut When it comes to human assessment , we happen to be a big fan of the one-size-fits-all approach, which AI will end in the near future… Continue reading on Towards AI » Published via Towards AI …
Linearity Bias
Author(s): Nithin Raj Anantha Data Science What is Linear Bias and why is it prominent in our day-to-day lives? Photo by Chad Montano on Unsplash Consider this, you are very hungry and plan to order pizza, you have two options right in front …
The First Step in the Computational Optimization
Author(s): Saman Siadati The mathematical programming Continue reading on Towards AI » Published via Towards AI …
Supervised Contrastive Learning for Cassava Leaf Disease Classification
Author(s): Dimitre Oliveira Deep Learning Applying deep learning with supervised contrastive learning to detect diseases on cassava leaves. Photo by malmanxx on Unsplash Supervised Contrastive Learning (Prannay Khosla et al.) is a training methodology that outperforms supervised training with cross-entropy on classification tasks.The idea …
Deep Hashing for Similarity Search
Author(s): Rutuja Shivraj Pawar DEEP LEARNING, COMPUTER VISION An overview of the novel deep hashing neural networks from the literature Photo by Tolga Ulkan on Unsplash In recent years Approximate Nearest Neighbor (ANN) [1] search has become a prominent topic of research to effectively …
Generalized Additive Models with R
Author(s): Eugenia Anello Balance interpretability and predictive power through non-linear models Continue reading on Towards AI » Published via Towards AI …
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