Role of AI and ML in faster and less fraudulent paymentsAI & ML in Fraud DetectionClairvoyant leverages AI and ML in many of its projects to deliver efficient solutions to its clients. Tapping into Clairvoyant’s experience managing projects involving the two technologies, this blog aims to take you through the role of AI and ML in faster payments with decreased … [Read more...] about Adding value with AI/ML in Payments
Machine Learning
Don’t blame the ‘brains’ for AI bottlenecks — it could be the lack of ‘hands’
Artificial Intelligence (AI) is popping up everywhere, at least in discussions. Intelligent systems are being used in many places, and they are becoming smarter. But the real bottleneck is not the intelligence or ‘brains’ of the systems; it’s that AI also needs ‘hands’ to do things.Photo source: Wikipedia.AI has become a very popular keyword over the last five years. Most … [Read more...] about Don’t blame the ‘brains’ for AI bottlenecks — it could be the lack of ‘hands’
Transfer Learning . “Inheritrain”
Abstract — What did I do in a nutshell?I called Inheritrain, is a inherited training, but one that we can manipulate again to work with our aditional features . In this document I want to explain how I developed a neural network model, inheriting characteristics from another already trained model."This practice consists of manipulating already built models, which serve as a … [Read more...] about Transfer Learning . “Inheritrain”
Visualizing Learning of a Deep Neural Network
Using Deep Replay for Visualizing the Neural Network Learning(Source: https://github.com/dvgodoy/deepreplay/blob/master/images/part1.gif)Deep Learning is generally considered a black box technique because you generally can’t analyze how it is working in the back-end. You create a deep neural network, compile it, and then fit it on your data, we know that it will work using … [Read more...] about Visualizing Learning of a Deep Neural Network
How AI is making Mobile App Personalization?
Artificial intelligence (AI) has become a well-known word across multiple businesses in recent years. AI is so popular that the International Data Corporation expects global spending on AI systems will grow from $35.8 billion in 2019 to $79.2 billion in 2022.As leading tech companies continue to show interest in AI investment, users will continue to see the technology become … [Read more...] about How AI is making Mobile App Personalization?
Spam Classification using Naive Bayes Algorithm
Build naive spam classifier using naive BayesIn our daily life, we get lots of emails. Some emails are useful and some are not. An unsolicited email sent in the bulk is a spam email. We do not generally want spam emails, so spam classifiers throw them in spam folders before they appear in our inbox section.According to Statista, around 29% of the emails sent in 2019 are spam … [Read more...] about Spam Classification using Naive Bayes Algorithm
Extract meaningful information from Big Data using NLP and Machine Learning
Most often, AI systems are exposed to a vast variety of information such as the voice of a person, images with text content, raw documents like NEWS articles, etc. In order to act on this unstructured form of information (data), the AI has to perform one of the crucial processes called Information Extraction(IE). Information Extraction is the process of retrieving key … [Read more...] about Extract meaningful information from Big Data using NLP and Machine Learning
A different class of Machine Learning
Trying to predict the price of a house based on square feet is a linear regression problem. If you are provided a dataset of known prices of other houses and their respective square feet then we can work out the relationship between them. That is because we know the two quantifiable values of our dataset. From these we can build a linear regression model that shows the … [Read more...] about A different class of Machine Learning
How AWS Machine Learning Helped Solidify My Career Vision and Master’s Objective
Content OutlineOverviewThree years into my bachelor’s in Computer Science, I felt that I had segmented, superficial knowledge in a lot of areas such as databases, networking, and programming fundamentals. However, I couldn’t visualize how it all fit together in the industry nor how to pick a more specialized field.This short blog covers exam preparation for the AWS Machine … [Read more...] about How AWS Machine Learning Helped Solidify My Career Vision and Master’s Objective
A Complete Introduction To Time Series Analysis (with R):: ARIMA and SARIMA models
elecequip data from R datasetsIn the last section, we discussed model selection for ARMA(p,q) models by using the AIC, AICc, BIC, which are metric functions based on the likelihood and the parameters, providing a certain measure that can be used to compare models against each other on the same data. In this article, we will now recatch the ideas of differencing and seasonality … [Read more...] about A Complete Introduction To Time Series Analysis (with R):: ARIMA and SARIMA models