Data Scientist Types
Author(s): Chan Naseeb Originally published on Towards AI. What kind of data scientists do you come across in the market? Photo by Franki Chamaki on Unsplash I have seen different types of people around carrying out and using the title of a …
Who Can Become a Data Scientist?
Author(s): Chan Naseeb Originally published on Towards AI. What does it take to be a data scientist? Questions and Answers Photo by Luke Chesser on UnsplashBachelor in Business Administration (BBA) holderPetroleum engineer,Psychologist,Anyone! Here is my take on this type of questions: Keep …
Marketing Analytics (Part 1)
Author(s): Mishtert T Originally published on Towards AI. Simple Linear Regression Customer Lifetime Value (CLV) In marketing, customer lifetime value (CLV or often CLTV), lifetime customer value (LCV), or lifetime value (LTV) is a prediction of the net profit attributed to the …
Chest X-Ray Based Pneumonia Classification
Author(s): Akula Hemanth Kumar Originally published on Towards AI. Making computer vision easy with Monk, low code Deep Learning tool and a unified wrapper for Computer Vision. Monk Library U+1F4CCMonk is an opensource low-code tool for computer vision and deep learning. Monk …
Knowledge Graph Embeddings
Author(s): Edward Ma Originally published on Towards AI. Photo by chuttersnap on Unsplash In the previous stories, we introduced Introduction to Graph Embeddings, Random Walk in Node Embeddings, 4 Graph Neural Networks, and When GraphSAGE meets Pinterest. In this article, I introduce …
GANs using MNIST Dataset
Author(s): Aman Sawarn Originally published on Towards AI. Generating similar character images like MNIST using Keras API Source βGenerative Adversarial Networks is the most interesting idea in the last 10 years in Machine Learningβ β Yann LeCun. Generative Adversarial Networks(or GANs) have …
Data Science Tools to Get Started in 2020
Author(s): Slava Vaniukov Originally published on Towards AI. Data science is a discipline that is gaining importance as the world becomes increasingly dependent on vast stores of digital information. It is the study of data involving methods of collecting, storing, and analyzing …
A Beginnerβs Guide To Optimizing Julia Code
Author(s): ___ Originally published on Towards AI. How To Find And Fix Performance Bottlenecks In this article, I will share some tips to help speed up the Julia code. The goal is to help newcomers to this language be familiar with the …
The Small Data Revolution needed for Small Businesses
Author(s): Richa Verma Originally published on Towards AI. While big data is disrupting enterprises, how can small data with new-age technologies of machine learning, artificial intelligence, etc. disrupt small businesses? Read along! Photo by Stephen Dawson on Unsplash Rahul (name changed) is …
How to Deal with Major Challenges in Machine Learning
Author(s): Siddhesh Jadhav Originally published on Towards AI. Best practices for all the common challenges in every step of machine learning problem Photo by bady qb on Unsplash We often get blocked at different steps while working on a machine learning problem. …
Spatial Data Science Simplified
Author(s): Brenda Hali Originally published on Towards AI. Tools to use to perform it and where to learn it Stuck behind the paywall? Read here with my Friend Link For decades, geographers, geologists, researchers, and analysts from a wide variety of fields …