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 …
Assumptions of Linear Regression — What Fellow Data Scientists Should Know
Author(s): Shaurya Lalwani Machine Learning Assumptions of Linear Regression — What Fellow Data Scientists Should Know 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 …
YOLO V5 — Explained and Demystified
Author(s): Mihir Rajput Originally published on Towards AI. Computer Vision YOLO V5 — Model Architecture and Technical Details Explanation Source: https://pixabay.com/ From my previous article on YOLOv5, I received multiple messages and queries on how things are different in yolov5 and other …
Performing a Market Basket Analysis with Machine Learning
Author(s): Michelangiolo Mazzeschi Improve Marketing with AI. Full code available at my repo Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Building Neural Networks with Python Code and Math in Detail — II
Author(s): Towards AI Editorial Team Originally published on Towards AI. Join us ↓ | Towards AI Members | The Data-driven Community Top highlight Source: Pixabay Last updated January 7, 2021 Author(s): Pratik Shukla, Roberto Iriondo Join Towards AI, by becoming a member, …
Building Neural Networks with Python Code and Math in Detail — II
Author(s): Pratik Shukla, Roberto Iriondo Source: Pixabay The second part of our tutorial on neural networks from scratch. From the math behind them to step-by-step implementation case studies in Python. Launch the samples on Google Colab. In the first part of our tutorial …
Content-Based Recommendation System using Word Embeddings
Author(s): Dhilip Subramanian Average Word2Vec and TF-IDF Word2Vec Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Do You Understand Gradient Descent and Backpropagation? Most Don’t.
Author(s): Michel Kana, Ph.D A simple mathematical intuition behind one of the commonly used optimization algorithms in Machine Learning. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
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 …
Start-off your ML journey with K-Nearest Neighbors!
Author(s): Daksh Trehan Detailed theoretical explanation and scikit-learn implementation with example! Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
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 …
Image Processing Basics through OpenCV
Author(s): Shuvayan Ghosh Dastidar Originally published on Towards AI. Photo by Shahadat Rahman on Unsplash In computer science, digital image processing is the use of a digital computer to process digital images through an algorithm.[1] An image is taken as input and …
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