MLOps β Ruling Fundamentals and few Practical Use Cases
Author(s): Supriya Ghosh Originally published on Towards AI. Machine Learning MLOps Workflow Image by Author Before I jump on to the Practical Use Cases of MLOps directly, let me pen down some foundations of MLOps. Why MLOps emerged? Engineers and Researchers across …
Always Create Three Resumes for Data Science Jobs
Author(s): Abid Ali Awan Originally published on Towards AI. Careers If you want to get noticed fast by an employer always create three different resumes for different regions of expertise. Image by freepik.com Introduction The data science world is not easy to …
Make Your Dashboard Stand Out β Sunshine Chart
Author(s): Memphis Meng Originally published on Towards AI. Impress your audience and bosses! Image by Tableau.com This member-only story is on us. Upgrade to access all of Medium. To me, Tableau is the only kind of tool that allows me to do …
Microsoftβs New Ideas About Generative Models
Author(s): Jesus Rodriguez Originally published on Towards AI. Optimus, FQ-GAN, and Prevalent bring new ideas to apply generative models at a large scale. This member-only story is on us. Upgrade to access all of Medium. Source: https://learnopencv.com/generative-and-discriminative-models/ I recently started an AI-focused …
Chi-Square Test Examples with R
Author(s): Amit Chauhan Originally published on Towards AI. Analysis of variables association and distribution This member-only story is on us. Upgrade to access all of Medium. Image Source Introduction When we talk of chi-square tests, basically we study two types: Chi-square for …
The Outlier Story β Leverage and Influential Point in Linear Regression
Author(s): Supriya Ghosh Originally published on Towards AI. Data Science Image by Will Myers on unsplash For understanding any Outliers and Unusual Observations in linear regression, it is important to understand a formal and basic definition of Linear regression. βLinear regression is …
Introduction to MLOps for Data Science
Author(s): Amit Chauhan Originally published on Towards AI. A part of continuous integration, continuous development, and continuous testing This member-only story is on us. Upgrade to access all of Medium. Image Source What is MLOps? If we break down the word itself, …
Feature Selection and Removing in Machine Learning
Author(s): Amit Chauhan Originally published on Towards AI. Improving model and its accuracy for high dimension data This member-only story is on us. Upgrade to access all of Medium. Photo by Franki Chamaki on Unsplash As we know the importance of features …
3 Key Things to Land a Graduate Data Scientist Job
Author(s): Egor Howell Originally published on Towards AI. The main three things that got me my graduate Data Science job. This member-only story is on us. Upgrade to access all of Medium. Photo by Cytonn Photography on Unsplash I am just about …
Recommended Articles
Author(s): Amit Chauhan Originally published on Towards AI. Exploratory data analysis with visualization libraries This member-only story is on us. Upgrade to access all of Medium. Photo by Firmbee.com on Unsplash Data visualization is a very important aspect of exploratory data analysis. …
Image Classifier β Zalando Clothing Store using Monk Library
Author(s): Vidya Originally published on Towards AI. Computer Vision This tutorial is about image classification on the Zalando Clothing Store dataset using Monk Library. In this dataset, there are high-res, color, and diverse images of clothing and models. Tutorial available on GitHub. …
Create Your Own Harry Potter Short Story Using RNNs and TensorFlow
Author(s): Amisha Jodhani Originally published on Towards AI. What is an RNN? Photo by Rae Tian on Unsplash Still, waiting for your Hogwarts letter? Want to enjoy the feast in the Great Hall? Explore the secret passages in Hogwarts?Buy your first wand …
Dealing with Class Imbalance β Dummy Classifiers
Author(s): Abhijeet Sahoo Originally published on Towards AI. Image credit: https://datascience.aero/ Let me paint a picture for you, you are a beginner to the field of Data Science and have started making your first ML model for predictions and found the accuracy …
Implement a Neural Network from Scratch with NumPy
Author(s): Dorian Lazar Originally published on Towards AI. Background image source: Wikimedia Commons I think that the best way to really understand how a neural network works is to implement one from scratch. That is exactly what I going to do through …