9 Ways Machine Learning Can Improve Supply Chain Management
Author(s): Maruti Techlabs Originally published on Towards AI. Technology, Future Artificial Intelligence and Machine Learning have recently become buzzwords across different verticals, but what do they actually mean for modern supply chain management? Efficiency and cost-effectiveness are the biggest challenges facing supply …
An Insider’s guide to Cartoonization using Machine Learning
Author(s): Daksh Trehan Originally published on Towards AI. Deep Learning, Computer Vision Implementing white-box models to “cartoonize” real high-quality images. Cartoonization is itself a classic art but, the evolution in the field of Machine Learning is covering almost every realm. Today, in …
1. Highly Correlated Variables
Author(s): Shaurya Lalwani Originally published on Towards AI. Photo by Louis Hansel @shotsoflouis on Unsplash In the real world, data is not as clean as it’s often assumed to be. That’s where all the data mining and wrangling comes in; to build …
Regression Line with Mathematics for the Linear Regression
Author(s): Gul Ershad Originally published on Towards AI. The equation of Intercept a: Regression is a prediction where the target is continuous and its applications are several. It is the simplest parametric model. Every data-set is given in a pair consisting of …
AI Disruption is Starting Already
Author(s): Michelangiolo Mazzeschi Originally published on Towards AI. Standard Procedure AI disruption has already begun. Look at tools such as autoML or Lobe.They will soon eat out the demand for ML engineers at the lower end of the competence distribution. Not long …
Sentiment Analysis — ML project from Scratch to Production (Web Application)
Author(s): Shareef Shaik Originally published on Towards AI. Metrics used : A glimpse of the application we are going to build. When I started learning Data science, I always get lost in the amount of material it offers. After learning it for …
First Principles Approach in Data Science
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. a. Problem Framing Image Source: Pexels The first principles approach to problem-solving is the act of breaking a problem down to the fundamental parts and building up from there. This method is …
Assumptions of Linear Regression — What Fellow Data Scientists Should Know
Author(s): Shaurya Lalwani Originally published on Towards AI. Photo by Marius Masalar on Unsplash Linear Regression is a linear approach to modeling the relationship between a target variable and one or more independent variables. This modeled relationship is then used for predictive …
NLP News Cypher | 06.28.20
Author(s): Ricky Costa Originally published on Towards AI. Photo by Jeff Finley on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher U+007C 06.28.20 The Final Frontier Geoff Hinton backpropagated himself and cancelled a bunch of meetings. He realized that his …
Top List of Quick Pandas Methods
Author(s): Michelangiolo Mazzeschi Originally published on Towards AI. Saving you time with these useful tricks After 3 months of learning Pandas daily, these are the top algorithm you can use for a quick but significant edit without losing your patience. If you …
Clustering: What Is It and When To use it?
Author(s): Daksh Trehan Originally published on Towards AI. Machine Learning, Data Science A comprehensive guide to K-Means, K-Means++, and DBSCAN. Clustering is a Machine Learning technique whose aim is to group the data points having similar properties and/or features, while data points …
Here’s the Pipeline:
Author(s): Shaurya Lalwani Originally published on Towards AI. Photo by Andy Kelly on Unsplash This article explains the important parts of a Regression/Classification Pipeline (the differences have been shown wherever required). Additional points can be added based on the domain and industry …
Gradient Descent v/s Normal Equation For Regression Problems
Author(s): Pushkara Sharma Originally published on Towards AI. Machine Learning Choosing the right algorithm to find the parameters that minimize the cost function Gradient Descent v/s Normal Equation In this article, we will see the actual difference between gradient descent and the …
Natural Language Processing Beginner’s Guide
Author(s): Davuluri Hemanth Chowdary Originally published on Towards AI. Natural Language Processing Copyright: Wave Accounting I published an article on Natural Language Processing. Before going through this article, I recommend you to go through the previous article. NLP Made Easy With These …
Outline
Author(s): Haryo Akbarianto Wibowo Originally published on Towards AI. Deep Learning, Tutorial U+1F356U+1F372 Recibrew! Predicting Food Ingredients with Deep Learning!U+1F372U+1F356 ▶️▶️ Step by step tutorial on predicting food ingredients using seq2seq in Deep Learning implemented in Pytorch Lightning. ◀️◀️ Photo by Dan …
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