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Learn Regression Analysis for Business

#artificialintelligence

A complete hands on practical exercises to build regression models that are highly used for business analysis. This course is designed to start with the very basics then add up information gradually. Accordingly students who have fair background in regression analysis can choose to jump to the practical part of the course to learn building regression models in detail. In this course you will learn about different types of regression models and learn to build and use the ones used in business analysis. You will learn step by step how to understand a business problem from data observations and determine the variables you need to include in regression analysis.


Random matrices meet machine learning: a large dimensional analysis of LS-SVM

arXiv.org Machine Learning

This article proposes a performance analysis of kernel least squares support vector machines (LS-SVMs) based on a random matrix approach, in the regime where both the dimension of data $p$ and their number $n$ grow large at the same rate. Under a two-class Gaussian mixture model for the input data, we prove that the LS-SVM decision function is asymptotically normal with means and covariances shown to depend explicitly on the derivatives of the kernel function. This provides improved understanding along with new insights into the internal workings of SVM-type methods for large datasets.


Guide to Financial Statement Analysis / Ratio Analysis

@machinelearnbot

This expert-written guide goes beyond the usual gibberish and explore practical Financial Statement Analysis as used by investment bankers and equity research analysts. Ratio Analysis – Puts important business variables into perspective by comparing it with other numbers. It provides meaningful relationship between individual values in the financial statements. So, which one is the best when it comes to Financial Statement Analysis? Ofcourse, you can't pick and choose a single method as the best and ONLY method to do the financial statement analysis.


Guide to Financial Statement Analysis / Ratio Analysis

@machinelearnbot

This expert-written guide goes beyond the usual gibberish and explore practical Financial Statement Analysis as used by investment bankers and equity research analysts. Ratio Analysis – Puts important business variables into perspective by comparing it with other numbers. It provides meaningful relationship between individual values in the financial statements. So, which one is the best when it comes to Financial Statement Analysis? Ofcourse, you can't pick and choose a single method as the best and ONLY method to do the financial statement analysis.


Employing Machine Learning for Internet of Things Analysis Analytics Insight

#artificialintelligence

The world has witnessed the most exciting high-tech projects integrating the knowledge from two or more well-established and fast-growing technology applications including applying machine learning to filter and analyse huge datasets harnessed from the Internet of Things (IoT). To reach its full potential, IoT harnesses inputs from artificial intelligence to include all sorts of sensors and smart devices plunged into the internet to exchange data with each other. This industry is growing phenomenally and is expected that in the years till 2022 there will be around 50 billion devices connected to the network, an enormous 140% increase when compared to 2018 and this number could reach a mammoth 1 trillion devices in 2035. This massive upsurge will lead to an exceptional rise in the amount of data which is exchanged making it nearly impossible to be analysed deploying traditional methods. The big question is can machine learning be deployed to help with data sorting and analysis?