What are the advantages and disadvantages of K-Means Clustering?
Author(s): Akash Dawari Originally published on Towards AI. All About K-Means Clustering In this article we will understand a clustering algorithm by answering the following question: What is clustering? What are the real-world applications of clustering? How does K-means Clustering work? How …
Binary Image Classification with Tensorflow
Author(s): Andrea D’Agostino Originally published on Towards AI. Convolution This member-only story is on us. Upgrade to access all of Medium. Photo by Yan Laurichesse on Unsplash In this post, we will see how to build a binary classification model with Tensorflow …
Step-3: Designing the CNN model architecture
Author(s): Abhinav Bandaru Originally published on Towards AI. Hand Cricket Simulation Using CNN and OpenCV I have been wanting to work on this for a long time. Growing up, Hand Cricket was one of my favorite games and I feel like this …
When is a Machine Learning Model ready for Product
Author(s): Rijul Singh Malik Originally published on Towards AI. What to look for in your machine learning model when building a product Photo by REVOLT on Unsplash When you build a machine learning model, you need to make sure that the model …
Examples of Information Retrieval Application on Image and Text
Author(s): Haryo Akbarianto Wibowo Originally published on Towards AI. Information Retrieval in Image and Text use-case Photo by NASA on Unsplash Hello, welcome to my second blog post. In this post, I want to write what I shared when I got invited …
Trading With AI, a Dream Or Reality
Author(s): Ali Ghandi Originally published on Towards AI. I am sure you see multiple stories about how AI can trade in the market without emotion and rational decision-making. But is this true? I believe the short answer is βNoβ, at least in …
Backtesting Strategy for ML Models
Author(s): Dr. Samiran Bera (PhD) Originally published on Towards AI. A form of cross-validation across time Image Source: corporatefinanceinstitute.com Model performance is critical to any business process and must be validated periodically. To establish the efficacy of model performance, business organizations often …
Regular Expression (RegEx) in Python: The Basics
Author(s): Hrishikesh Patel Originally published on Towards AI. RegEx in Python Series This member-only story is on us. Upgrade to access all of Medium. Image by author Consider you have a lot of text data, and you want to extract meaningful information. …
My Amazon Data Scientist Interview Questions β and Answers!
Author(s): Sameen Originally published on Towards AI. All the real stuff with no extra fluff Top highlight This member-only story is on us. Upgrade to access all of Medium. Photo by Sunrise King on Unsplash Hi there. I will get straight into …
Linear Regression Math Intuitions
Author(s): Fernando Guzman Originally published on Towards AI. Linear regression is the simplest model in machine learning that in its original version describes the relationship between 2 variables. It stills important to understand linear regression concepts basis, because it is the base …
LASSO (L1) Vs Ridge (L2) Vs Elastic Net Regularization For Classification Model
Author(s): Amy @GrabNGoInfo Originally published on Towards AI. Choosing among LASSO, Ridge, and Elastic Net Regularization by comparing their performances This member-only story is on us. Upgrade to access all of Medium. Photo by NordWood Themes on Unsplash LASSO (Least Absolute Shrinkage …
Data Engineering Using Julia Lang
Author(s): Vivek Chaudhary Originally published on Towards AI. The objective of this blog is to understand how to build a Data Engineering pipeline using Julia Lang. There are a lot of blogs on the internet that talk about the theory of DE, …
Build Your First Recommendation Engine
Author(s): Songhao Wu Originally published on Towards AI. What are the different types of recommendation algorithms? This member-only story is on us. Upgrade to access all of Medium. Photo by camilo jimenez on Unsplash Have you wondered why social media always feed …
Statistics for Data Science
Author(s): sonia jessica Originally published on Towards AI. In this hyper-connected world, data is being consumed and generated at an unparalleled pace. Despite the fact that we enjoy this superconductivity of data, it brings forth abuse as well. Data professionals have to …