Rule-Based Reasoning

How Does the Random Forest Algorithm Work in Machine Learning


In decision tree algorithm calculating these nodes and forming the rules will happen using the information gain and gini index calculations. In random forest algorithm, Instead of using information gain or gini index for calculating the root node, the process of finding the root node and splitting the feature nodes will happen randomly. In the above Mady trip planning, two main interesting algorithms decision tree algorithm and random forest algorithm used. First, let's begin with random forest creation pseudocode The beginning of random forest algorithm starts with randomly selecting "k" features out of total "m" features.



The European Commission wants to make it easier for lightweight drones to fly autonomously in European airspace -- with logistics, inspection services and agricultural businesses set to benefit. Simpler regulations will be welcomed by multinational businesses such as gas giant Engie, which is developing drones for tasks such as pipeline or building inspection or for cleaning the insulators on high-voltage overhead power lines. Other businesses, including some exhibiting at the Paris Air Show at Le Bourget this week, will see common rules as a way to simplify the development of drones and related services. While the drone air traffic control rules won't have much effect on its tethered drone, which is intended for inspecting the interiors of large industrial buildings, they could make life simpler for another drone it is developing to clean the insulators on overhead power lines.

Artificial Intelligence for Investing


When used to build artificial intelligence (AI), as its datasets grow, so does a computer's advantage. Machine learning occurs when a system processes data to assess its predictive power and then, using the information it has learned, improves its process for the next iteration. Deep learning seeks to recognize patterns in financial markets through a process similar to facial and speech recognition. Prior to founding Wavelength, Dassori was a portfolio manager at Credit Suisse focused on global macro investment strategies.

Are machines set to take over the fund management world?


Fund management group Sanlam Global Investment Solutions (SGIS) this week announced that its Sanlam Managed Risk Ucits fund is now managed solely by AI, which it claims makes it the first fund in the world that is solely driven by AI. This would mark it out as different to other quantitative (quant) strategies – or black box strategies as they are often termed – which are more rules based. By doing this, SGIS says it is removing another problem with'human run' funds, called key man risk. "Because in today's world, it's not man vs. machine, it's man with machine vs. man without."

Preventing Fraud and Saving Costs with Machine Learning - Dataconomy


According to the 2015 Merchant Risk Council (MRC) Global Fraud Survey, merchants typically manually review 10-15% of online orders. Whilst these figures understandably vary between verticals and online merchants increasingly feel that they have fraud itself under control, the Cybersource 2016 UK eCommerce Fraud Report reveals that reducing manual review has become their greatest fraud challenge. However, whilst these basic operational improvements and investing in improving review workflow tools can reduce the time and money spent internally on manual review, they address the symptoms rather than the cause of the problem and therefore largely miss the point. Although it only takes an average of 5.6 minutes to review a suspicious transaction (MRC Global Fraud Survey, 2015), time spent on manual reviews remains one of the greatest concerns to eCommerce merchants, especially in regards to fraud.

The intelligent automation journey: from robotic process automation (RPA) to artificial intelligence (AI)


Building on the "future of RPA" as described in my previous article, below are the descriptions of the different generations of robots presented in this framework: The traditional RPA generation includes robots which can perform transactional, repetitive, rule-based actions in a digitalized environment ("dumb robots"). Cognitive RPA widens the application of RPA to process activities using unstructured data, which we estimate at 15% to 20% of the automated processes in a company. Cognitive RPA delivers similar benefits to traditional RPA, but unlocks the capacity for the robot to manage unstructured data, such as free text messages (e.g., emails), or scanned images (e.g., invoices, or people IDs). Adding the functions of natural language processing (NLP) to a traditional RPA robot enables it to understand a free flow of sentences.

Robotic Process Automation: Leveraging Robots In The Enterprise


While companies have traditionally operated under the assumption that it makes sense to improve processes before automating them, the advent of robotic process automation (RPA) technology may be turning that conventional wisdom on its head. RPA, or software "robots," use business rules logic to automate repetitive, time-consuming tasks previously conducted by people. The technology reduces cost and enhances speed, accuracy, availability and auditability, and is being applied to tasks such as data entry, claims processing and access management in industries as diverse as insurance, retail and financial services. It's relatively quick to implement – RPA systems can be deployed in a matter of weeks.

Osaka 'minpaku' services see surge in complaints amid tourism boom

The Japan Times

As of the end of March, Osaka citizens had sought the city's help to solve problems related to the service in some 900 cases. Of the total, 672 cases were focued on suspected illegal minpaku operations. The official also said that the sheer number of suspected illegal operations meant that it was almost impossible to check on all of them. "Somehow we have to reduce illegal minpaku services so as to eliminate concerns held by our citizens," the official said.

'Intriguing anomalies' could rewrite the rules of physics

Daily Mail

These elementary particles are known as charged leptons, and include electrons, muons and heavier particles known as taus. These elementary particles are known as charged leptons, and include electrons, muons and heavier particles known as taus. While one experiment making this discovery could simply be a statistical error, to have three separate studies observe a higher-than-expected tau decay rate in three different environments has had particle physicists on the edge of their seats. When taken together, the studies yield a result with 99.95 per cent certainty that lepton universality - a fundamental assumption of the standard model - does not hold up.

Association Rules and the Apriori Algorithm: A Tutorial


Besides increasing sales profits, association rules can also be used in other fields. In Table 1, the lift of {apple - beer} is 1,which implies no association between items. This is confirmed by the lift value of {beer - soda}, which is 1, implying no association between beer and soda. On the other hand, the {beer - male cosmetics} rule has a low confidence, due to few purchases of male cosmetics in general.