About this course: You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how. Much of this content has never been taught elsewhere, and is drawn from my experience building and shipping many deep learning products. This course also has two "flight simulators" that let you practice decision-making as a machine learning project leader. This provides "industry experience" that you might otherwise get only after years of ML work experience.

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.

Today, those looking for a non-traditional education have limited access to online classrooms, especially ones that are for-credit and affordable. But Thomas Frey predicts that, within 14 years, learning from robots will be entirely commonplace -- even for children. Frey is a futurist who began as an engineer at IBM and went on to found the DaVinci Institute, a networking firm and think tank for technical innovation to bring about a brighter future. Frey gives lectures and interviews on strategies for progress to high-profile audiences at places like NASA, the New York Times, and various Fortune 500 companies. He told Business Insider that he sees a future where innovators will enhance and improve the current landscape of online education.

Scala has emerged as an important tool for performing various data analysis tasks efficiently. This video will help you leverage popular Scala libraries and tools to perform core data analysis tasks with ease. This course will give you everything that you need to perform data analysis with Scala libraries. You will master loading raw datasets with Spark, and perform exploratory data analysis on them via plotting. Along the way you will learn what Spark has to offer when it comes to transforming datasets and how you can build a statistical model of a dataset with Spark.

About this course: Welcome to the second course in the Data Analytics for Business specialization! This course will introduce you to some of the most widely used predictive modeling techniques and their core principles. By taking this course, you will form a solid foundation of predictive analytics, which refers to tools and techniques for building statistical or machine learning models to make predictions based on data. You will learn how to carry out exploratory data analysis to gain insights and prepare data for predictive modeling, an essential skill valued in the business. You'll also learn how to summarize and visualize datasets using plots so that you can present your results in a compelling and meaningful way.

AWS Training and Certification helps you advance your knowledge with practical skills so you can get more out of the AWS Cloud. We now have two new courses to help you learn about how to leverage artificial intelligence (AI) solutions using AWS: Introduction to Machine Learning web-based training and Deep Learning on AWS instructor-led training. If you are looking to learn more about how you can put AI capabilities to use, we recommend that you start with the web-based training. Developers looking to learn more should then attend the one-day instructor-led training. Introduction to Machine Learning is a free 40 minute web-based training intended for developers, solutions architects, and IT decision makers who already know the foundations of working with AWS.

There is no doubt that Artificial Intelligence is one of the most sophisticated of all the emerging technologies. Artificial Intelligence deals with the understanding of machines and programming them to do tasks autonomously as well as helping them get smarter. It requires a great deal of understanding and problem-solving. It's also one of the most expensive subjects to learn if you are eager to secure a career in this field. Luckily for our lovely readers, we have compiled three courses for you below which will help you understand the basics of Artificial Intelligence for zero price.

Udacity's mission is to democratize education. Focused on self-empowerment through learning, Udacity is making innovative technologies such as self-driving cars available to a global community of aspiring technologists, while also enabling learners at all levels to skill up with essentials like programming, web and app development. If you love a challenge, and truly want to make a difference in the world, read on! A Student Experience Lead is a educational strategist and program manager in one, with a strong pedagogical sense. You should take pride in ensuring that the students in your Nanodegree program receive the best possible learning experience.

Mike Salem from Udacity's Robotics Nanodegree is hosting a series of interviews with professional roboticists as part of their free online material. Chris is a former Wired magazine editor turned robotics company co-founder and CEO. You can find all the interviews here. We'll be posting them regularly on Robohub.

No matter where you are in your coding journey this course will get you up and running with Apache Spark, from installation and configuration to power user with 5.5 hours of top quality video tutorials. The first chapters are a step by step guide through the fundamentals of Spark programming, covering data frames, aggregations and data sets. Next you'll dive into what you can do with all the data you collect using Spark, filter results with R and expose your data to Python for deeper processing and presentation using charts and graphs. After that, you go further into the capabilities of Spark's stream processing, machine learning, and graph processing libraries. The last chapter combines all the skills you learned from the preceding chapters to develop a real-world Spark application.By the end of this video, you will be able to consolidate data processing, stream processing, machine learning, and graph processing into one unified and highly interoperable framework with a uniform API using Scala or Python.