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@machinelearnbot

Are You an Ecologist or Conservationist Interested in Learning GIS and Machine Learning in R? Then this course is for you! I will take you on an adventure into the amazing of field Machine Learning and GIS for ecological modelling. You will learn how to implement species distribution modelling/map suitable habitats for species in R. My name is MINERVA SINGH and i am an Oxford University MPhil (Geography and Environment) graduate. I finished a PhD at Cambridge University (Tropical Ecology and Conservation). I have several years of experience in analyzing real life spatial data from different sources and producing publications for international peer reviewed journals.


Learn how to build Raspberry Pi computers with this $15 online class

Mashable

Just to let you know, if you buy something featured here, Mashable might earn an affiliate commission. A partnership between Broadcom and the University of Cambridge, the U.K. based Raspberry Pi Foundation creates credit card-sized computers that promote learning how to code and educational research. Since the computers went on the market in 2012, Raspberry Pi has sold over eight million models and is the United Kingdom's best-selling computer. Setting up a Raspberry Pi is easy. Simply plug in a monitor, mouse, and keyboard, and install the computer.




Strategyproof Peer Selection using Randomization, Partitioning, and Apportionment

arXiv.org Artificial Intelligence

Peer review, evaluation, and selection is a fundamental aspect of modern science. Funding bodies the world over employ experts to review and select the best proposals of those submitted for funding. The problem of peer selection, however, is much more general: a professional society may want to give a subset of its members awards based on the opinions of all members; an instructor for a MOOC or online course may want to crowdsource grading; or a marketing company may select ideas from group brainstorming sessions based on peer evaluation. We make three fundamental contributions to the study of procedures or mechanisms for peer selection, a specific type of group decision-making problem, studied in computer science, economics, and political science. First, we propose a novel mechanism that is strategyproof, i.e., agents cannot benefit by reporting insincere valuations. Second, we demonstrate the effectiveness of our mechanism by a comprehensive simulation-based comparison with a suite of mechanisms found in the literature. Finally, our mechanism employs a randomized rounding technique that is of independent interest, as it solves the apportionment problem that arises in various settings where discrete resources such as parliamentary representation slots need to be divided proportionally.


Functional Programming Principles in Scala Coursera

@machinelearnbot

About this course: Functional programming is becoming increasingly widespread in industry. This trend is driven by the adoption of Scala as the main programming language for many applications. Scala is the implementation language of many important frameworks, including Apache Spark, Kafka, and Akka. It provides the core infrastructure for sites such as Twitter, Tumblr and also Coursera. In this course you will discover the elements of the functional programming style and learn how to apply them usefully in your daily programming tasks.


Probabilistic Graphical Models 2: Inference Coursera

@machinelearnbot

About this course: Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more. They are also a foundational tool in formulating many machine learning problems. This course is the second in a sequence of three.


Core Java Programming - Udemy

#artificialintelligence

Java is arguably the single most important technology out there. Core Java Programming is an excellent introduction in to the world of Java programming. The instructor will take you through the basics of Java syntax and the complexities of Object Oriented Programming. This course is a stand-alone course, however it would be a huge aid to the online student who is taking a self-directed course, an individual who is trying to learn how to program. At the end of this course, you will be well versed with how to program in Java from the very basic level to an intermediate level of programming.


Satellite Remote Sensing Data Bootcamp With Opensource Tools

@machinelearnbot

Are you currently enrolled in either of my Core or Intermediate Spatial Data Analysis Courses? Or perhaps you have prior experience in GIS or tools like R and QGIS? You don't want to spend 100s and 1000s of dollars on buying commercial software for imagery analysis? The next step for you is to gain profIciency in satellite remote sensing data analysis. MY COURSE IS A HANDS ON TRAINING WITH REAL REMOTE SENSING DATA WITH OPEN SOURCE TOOLS!