Inside the black box 2
Following the original observations of Neural Networks in action; I decided a follow up was needed. In the original blog, ; the smallest neural net… Read More »Inside the black box 2
Following the original observations of Neural Networks in action; I decided a follow up was needed. In the original blog, ; the smallest neural net… Read More »Inside the black box 2
Linear regression uses Ordinary Least square method to find the best coefficient estimates. One of the assumptions of Linear regression is that the variables are… Read More »Intuition behind Bias-Variance trade-off, Lasso and Ridge Regression
Hold on to your hats data scientists, you’re in for another wild ride. A few months ago, our beloved field of predictive analytics was taken down… Read More »Predictive Analytics Path to Mainstream Adoption
This article is intended for practitioners who might not necessarily be statisticians or statistically-savvy. The mathematical level is kept as simple as possible, yet I… Read More »Stochastic Processes and New Tests of Randomness – Application to Cool Number Theory Problem
Making money is very easy from Restaurant but consistency on success run is the difficult part due to various factors like competitors, customer needs in… Read More »Portray Business Plan from Data with Science – “Restaurant”
Voice technology and natural language recognition is at the forefront of AI development that is transforming our everyday life, and will undoubtedly be part of… Read More »DSC Webinar Series: Data Contributions to a Conversational AI Platform
How good is a certain soccer player? Let’s find out applying Machine Learning to Fifa 18! I’m sure you’ve probably heard about the 2018 FIFA… Read More »Soccer and Machine Learning: 2 hot topics for 2018
When it comes to breakthrough analytics, it’s vital that the various components of your ecosystem – analytics, data science, cloud, databases, etc. – work together… Read More »DSC Webinar Series: rEvolutionize Your Analytics: Break Barriers to Insight
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers,… Read More »13 Great Articles About K-Nearest-Neighbors And Related Algorithms
In this article we will review application of clustering to customer order data in three parts. First, we will define the approach to developing the… Read More »Extending churn analysis to revenue forecasting using R