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Machine Learning: Non-linear Regression, Regularization & Cross Validation Simplified (Part 1)

· Roopam Upadhyay · 3 Comments

In this 3-part series of articles, you will gain an intuitive understanding of some fundamental concepts in machine learning such as: Building blocks of curves Non-linear regression Curve fitting and overfitting Regularization to prevent overfitting Hyper-parameters in machine learning Cross-validation to fine-tune models You will also get hands-on practice to understand these concepts better. For this

Gradient Descent for Logistic Regression Simplified – Step by Step Visual Guide

· Roopam Upadhyay · 25 Comments

If you want to gain a sound understanding of machine learning then you must know gradient descent optimization. In this article, you will get a detailed and intuitive understanding of gradient descent to solve machine learning algorithms. The entire tutorial uses images and visuals to make things easy to grasp. Here, we will use an example

Python Code for Time Series Forecasting & ARIMA Models – Manufacturing Case Study Example

· Roopam Upadhyay · 1 Comment

Business forecasting case study example is one of the popular case studies on YOU CANalytics. Originally, the time series analysis and forecasting for the case study were demonstrated on R in a series of articles. One of the readers, Anindya Saha, has replicated this entire analysis in Python. You could read this python notebook at this link: Python Notebook

Video Case Study Example – Time Series in the Age of Big Data

· Roopam Upadhyay · 14 Comments

Dear readers, watch the first video case study example on YOU CANalytics. This was my first attempt at the video presentation and I must say it is damn hard to speak while staring at your computer. I have come away with a new-found respect for the folks who could effortlessly dart monologs at their machines.

Thompson Sampling for Artificial Intelligence – Digital Marketing Case Study Example (Part 4)

· Roopam Upadhyay · 3 Comments

Thompson Sampling and Artificial Intelligence - by Roopam

This is the final part of the digital marketing case study example. In this case study, you are a digital analytics consultant. Here, you are working with your client Helping Hand, an NGO, to extract the maximum value out of their marketing campaign. For this, you are using principles of reinforcement learning to get the maximum donation

Bayesian Statistics to Improve A/B Testing – Digital Marketing Case Study Example (Part 3)

· Roopam Upadhyay · 6 Comments

Welcome back to the digital marketing case study example. In this case study, you are helping your client to identify an ad that will generate them the maximum return on marketing investment (ROMI). In the previous part, we discussed A/B testing which is the prevalent method used to compare the effectiveness of marketing effort. You are an expert

A/B Testing Explained and Challenged – Digital Marketing Case Study Example (Part 2)

· Roopam Upadhyay · 21 Comments

A/B Testing and Photo Finish - by Roopam

Welcome back to our digital marketing case study example. In the previous part, you had initiated an email donation campaign for your client Helping Hand, an NGO, with three different ads for the same cause to support the needy in Africa. The idea is to identify the ad that generates the maximum donation from the

Reinforcement Learning and Artificial Intelligence – Digital Marketing Case Study Example (Part 1)

· Roopam Upadhyay · 2 Comments

How to make machines learn on their own similar to humans? This is the pivotal question for the development of artificial intelligence. To develop intelligent machines and systems (artificial intelligence), we need to understand how human intelligence and learning work. For this, we will explore the ideas behind reinforcement learning. In the process, we will

Cluster Analysis Puzzle : Initial Random Seeds – Learn by Doing! (Part 2)

· Roopam Upadhyay · 1 Comment

This is a continuation of the cluster analysis puzzle. In this puzzle, we had noticed different results for k-mean clusters in different runs. Some of you (Emily. Ramya, Alard, and Pintu) have pointed out initial random seeds as the reason for this inconsistency. Now, this inconsistency of results is a big problem for cluster analysis. In this

Podcast of an Interview with Roopam

· Swati Patankar · 8 Comments

Hello to the readers of YOU CANalytics from Swati Patankar, the editor of the blog. I am a scientist who is currently on sabbatical from my academic job. As part of this, I am exploring how to make science interesting through podcasts. Roopam very kindly agreed to be my first guinea pig and here is the