I am preparing my very first Kaggle submission, which will be for the Titanic competition, and was wondering what a respectable or even good score would be? This course is designed to teach the student advanced classification techniques that will enable him to enter Kaggle's Titanic competition and achieve an improved score by using standard machine learning methods. After the student is introduced to the course, he will receive an introduction to Python's machine learning library, sklearn. The student will also be introduced to the website, OpenML, which is a repository of a multitude of datasets. The Titanic dataset in the OpenML website is used in the lessons in this course all the way up to the point that the student is invited to enter the Kaggle Titanic competition and employ all of the advanced classification techniques that he has learned in the course.

Scicomm.io is a science communication project which aims to empower people to share stories about their robotics and AI work. The project is a joint effort from Robohub and AIhub, both of which are educational platforms dedicated to connecting the robotics and AI communities to the rest of the world. This project focuses on training the next generation of communicators in robotics and AI to build a strong connection with the outside world, by providing effective communication tools. People working in the field are developing an enormous array of systems and technologies. However, due to a relative lack of high quality, impartial information in the mainstream media, the general public receive a lot hyped news which ends up causing fear and / or unrealistic expectations surrounding these technologies.

Abu Dhabi's artificial intelligence university welcomed 42 business and government leaders into its new executive programme on Sunday, as the UAE aims to be at the forefront of AI development. The 12-week programme at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) aims to offer practical training on AI and build connections between the public and private sectors and the scientific community. Instructors have been brought from Massachusetts Institute of Technology, Stanford University, the University of Oxford and Carnegie Mellon University to teach course content. "AI is proving to be the single most important economic accelerator of our time and it is central to the UAE's national and economic growth agenda," Dr Sultan Al Jaber, Minister of Industry and Advanced Technology, managing director and group chief executive of Adnoc and chairman of the MBZUAI Board of Trustees, said at the opening ceremony. "The MBZUAI Executive Programme was designed to take the latest AI methodologies from the classroom to the workplace, where they can make a practical difference. This is a real-world, tailored programme that focuses on tangible results."

… Drug Administration (“FDA” or the “Agency”) held a virtual workshop entitled, Transparency of Artificial Intelligence (“AI”)/Machine Learning.

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We live in a world fundamentally transformed by our own creations. Once imagined only in science fiction, artificial intelligence now powers much of the technology we interact with every day--from smart home devices to cognitive assistants to media recommenders. While subtle by design, the impact of AI is far-reaching. The field of education is no less affected by these technologies. AI shows up in instructional chatbots, personalized learning systems and administrative tools.

In this post, you will learn about the hold out method used during the process of training machine learning model. When evaluating machine learning (ML) models, the question that arises is whether the model is the best model available from the algorithm hypothesis space in terms of generalization error on the unseen / future data set. Whether the model is trained and tested using the most appropriate method. Out of available models, which model to select? These questions are taken care using what is called as hold out method.

Data scientist is one of the best suited professions to thrive this century. It is digital, programming-oriented, and analytical. Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketplace. However, supply has been very limited. It is difficult to acquire the skills necessary to be hired as a data scientist.

However, the standard CPython implementation's global interpreter lock (GIL) prevents running the bytecode in multiple threads simultaneously.