Instructional Material
Learning Path: Scala: Efficient Data Analysis with Scala
Data analysis is a process for inspecting, consolidating, transforming, and making sense of data in a way that guides the decision-making process. Scala has emerged as an important tool for efficiently performing various data analysis tasks. So, if you're interested to load raw datasets with Spark, and perform exploratory data analysis on those via plotting Scala libraries, then go for this Learning Path. Packt's Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it. Let's take a quick look at your learning journey.
The future of AI, IoT and 5G is in the fog - IoT Agenda
We are at a pivotal moment in technical advancements, where waves of digital innovation are changing how we work, play, travel, communicate, dine, interact and even think. The Internet of Things (IoT) world may be exciting, but there are serious technical challenges that need to be addressed, especially by developers. In this handbook, learn how to meet the security, analytics, and testing requirements for IoT applications. You forgot to provide an Email Address. This email address doesn't appear to be valid. This email address is already registered.
Medical Neuroscience Coursera
Medical Neuroscience explores the functional organization and neurophysiology of the human central nervous system, while providing a neurobiological framework for understanding human behavior. In this course, you will discover the organization of the neural systems in the brain and spinal cord that mediate sensation, motivate bodily action, and integrate sensorimotor signals with memory, emotion and related faculties of cognition. The overall goal of this course is to provide the foundation for understanding the impairments of sensation, action and cognition that accompany injury, disease or dysfunction in the central nervous system. The course will build upon knowledge acquired through prior studies of cell and molecular biology, general physiology and human anatomy, as we focus primarily on the central nervous system. This online course is designed to include all of the core concepts in neurophysiology and clinical neuroanatomy that would be presented in most first-year neuroscience courses in schools of medicine.
Learn Design Patterns Through Python in Simple Way
Subtitles are available for Introduction, Case Study and Design Patterns Concepts. Design and architecture of any software/solution provides the base and makes it flexible, extensible for future requirements. A good designed software/solution makes it easy to understand and maintain. Design patterns are known as best practices to design software for problems which are repeated in nature. This course "Design Patterns Through Python" gives you understanding of all 23 patterns described in Gang Of Four book - "Design Patterns: Elements of Reusable Object-Oriented Software", by Gamma, Helm, Johnson and Vlissides.
Python Game Development : Build 11 Total Games
Have you ever wanted to build a games with a graphical interface but didn't know how to? May be you even know how to create tools on a command line but have no idea how to convert it into a graphical interface that people can click on. In this course we will be learning Python GUI Programming Turtle other advanced python modules to build graphical user interfaces (GUI) and games from scratch. We will learn from basics of Python i.e. variables, slicing, string, some module, arithmetic and logical operations, looping, functions, object oriented programming. After that we will learn the basics stuff of Pygame and OpenGL and Blender basics stuff.
Building Bots - Chatbots in the Retail Industry
In our November 9th Retail Expert Series webinar, I spoke with Microsoft's resident bot expert and Director of Retail Solutions, Shish Shridhar, about the meteoric rise of chatbots and conversational commerce in the retail industry. We discussed why chatbots are so rapidly gaining traction with retailers and their most common use cases in the industry. Shish also shared his experiences on how to overcome common challenges, identify the right use cases, and get started. As a follow-up, I'd like to address a common concern, re-share our industry examples, and dive a bit deeper into some of the tools and capabilities offered by the Microsoft Bot Framework. "Is chatbot technology really ready?"
Assessing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour
Gรณmez, Emilia, Castillo, Carlos, Charisi, Vicky, Dahl, Verรณnica, Deco, Gustavo, Delipetrev, Blagoj, Dewandre, Nicole, Gonzรกlez-Ballester, Miguel รngel, Gouyon, Fabien, Hernรกndez-Orallo, Josรฉ, Herrera, Perfecto, Jonsson, Anders, Koene, Ansgar, Larson, Martha, de Mรกntaras, Ramรณn Lรณpez, Martens, Bertin, Miron, Marius, Moreno-Bote, Rubรฉn, Oliver, Nuria, Gallardo, Antonio Puertas, Schweitzer, Heike, Sebastian, Nuria, Serra, Xavier, Serrร , Joan, Tolan, Songรผl, Vold, Karina
This document contains the outcome of the first Human behaviour and machine intelligence (HUMAINT) workshop that took place 5-6 March 2018 in Barcelona, Spain. The workshop was organized in the context of a new research programme at the Centre for Advanced Studies, Joint Research Centre of the European Commission, which focuses on studying the potential impact of artificial intelligence on human behaviour. The workshop gathered an interdisciplinary group of experts to establish the state of the art research in the field and a list of future research challenges to be addressed on the topic of human and machine intelligence, algorithm's potential impact on human cognitive capabilities and decision making, and evaluation and regulation needs. The document is made of short position statements and identification of challenges provided by each expert, and incorporates the result of the discussions carried out during the workshop. In the conclusion section, we provide a list of emerging research topics and strategies to be addressed in the near future.
A Gentle Introduction to Statistical Tolerance Intervals in Machine Learning
It can be useful to have an upper and lower limit on data. These bounds can be used to help identify anomalies and set expectations for what to expect. A bound on observations from a population is called a tolerance interval. A tolerance interval is different from a prediction interval that quantifies the uncertainty for a single predicted value. It is also different from a confidence interval that quantifies the uncertainty of a population parameter such as a mean.