In this article, we will Analyze social bookmarking sites to find insights using Big Data Technology, Data comprises of the information gathered from sites that are bookmarking sites and allow you to bookmark, review, rate, on a specific topic. A bookmarking site allows you to bookmark, review, rate, search various links on any topic. The data is in XML format and contains various categories defining it and the ratings linked with it.
We have started to carry out the first certification projects, whereby the applications are mainly found in the industrial environment but also in the consumer sector. In the next phases of the development cooperation, the current approaches will be expanded in order to be able to certify safety-critical applications, based on a broader spectrum of machine learning methods,
A mushroom, or toadstool, is the fleshy, spore-bearing fruiting body of a fungus, typically produced above ground on soil or on its food source. In this project, looking at the various properties of a mushroom, we will predict whether the mushroom is edible or poisonous. To be more understandable, let's write properties one by one. Also, following image shows mushroom parts as we mentioned above. Welcome to this project on predict whether mushroom is edible or poisonous in Apache Spark Machine Learning using Databricks platform community edition server which allows you to execute your spark code, free of cost on their server just by registering through email id.
This Commodities Package is designed for investors who need commodity recommendations to find the best performing commodities in the industry. Package Name: Commodities Recommended Positions: Long Forecast Length: 1 Month (9/12/21 – 10/12/21) I Know First Average: 12.32% In this 1 Month forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 10 out of 10 trades. The prediction with the highest return was BCOMCO1T, at 15.53%. BCOMCL2T and BCOMCL3T also performed well for this time horizon with returns of 15.17% and 14.54%, respectively. The package had an overall average return of 12.32% during the period.
Machine learning is a hot topic in research and industry, with new methodologies developed all the time. The speed and complexity of the field makes keeping up with new techniques difficult even for experts -- and potentially overwhelming for beginners. To demystify machine learning and to offer a learning path for those who are new to the core concepts, let's look at ten different methods, including simple descriptions, visualizations, and examples for each one. A machine learning algorithm, also called model, is a mathematical expression that represents data in the context of a problem, often a business problem. The aim is to go from data to insight.