Machine learning (ML) lets enterprises unlock the true potential of their data, automate decisions, and transform their business processes to deliver exponential value to their customers. To help you take advantage of ML, Amazon SageMaker provides the ability to build, train, and deploy ML models quickly. Until recently, if you used Amazon SageMaker, you could either choose optimized algorithms offered in Amazon SageMaker or bring your own algorithms and models. AWS Marketplace for Machine Learning increases the selection of ML algorithms and models. In this post, you learn how to deploy and perform inference on the Face Anonymizer model package from the AWS Marketplace for Machine Learning.

There's a good chance the students you're teaching today will enroll in university courses that haven't yet been created and enter jobs that don't exist. And they'll be called upon to solve some of the world's most pressing environmental, social and economic issues. We know that can feel like a lot on your shoulders, but there is plenty you can do to prepare students for success and we're here to help. Thoughtfully designed and well implemented STEM instruction builds subject-specific knowledge and fosters a growth mindset, collaboration, critical thinking and computational thinking – all vital skills for jobs of the future. We have tips to share about fun ways to participate in Hour of Code, available in Minecraft: Education Edition as a free coding lesson.

How does Text Analysis work?

In the world of computers we all heard about data but have you ever heard about BIG DATA? So you will learn more about big Data in this article. We all love our data and we store it in different storage devices like hard disk, memory cards, pendrives etc. but big Data is not limited here. In a study, we found that usually we generate around 2-3 million TB of data per day all around the world. This is completely called big Data.

The Global AI bootcamp is a free one-day event organized by local communities all over the world that are passionate about Artificial Intelligence on the Microsoft stack. The event takes place on the 14th of December on venues all over the world and as well as in Colombo supported by Microsoft. The event is the perfect balance between quality content, awesome lectures, getting your hands dirty and learn & share with other community members. Dive in and learn how to implement intelligence into your solutions with the Microsoft AI platform, including pre-trained AI services like Cognitive Services and Bot Framework, as well as deep learning tools like Azure Machine Learning, Visual Studio Code Tools for AI, and Cognitive Toolkit. During this AI bootcamp you will get inspired through sessions and get your hands dirty during the workshops.

DesignCon, the nation's largest event for chip, board, and systems design engineers, today announced new areas of focus for the 2020 edition highlighting advances in the fields of 5G, artificial intelligence (AI), automotive, and IoT, producing the most in-demand electronics emerging today. Topics will be examined through a 14-track conference schedule spanning technical sessions, boot camps, tutorials, and more to fit the needs of the hardware design engineering community. The DesignCon conference and expo reflects the design engineering industry's growing need for breakthroughs in the development of 5G connectivity, AI, automotive electronics, and IoT. With worldwide spending on AI systems forecasted to reach $79.2 billion in 2022, sales of automotive electronic systems at its highest growth rate on-record, expected worldwide spending on IoT projected to surpass $1 trillion in 2022, and the 5G infrastructure market estimated to reach $4.2 billion in value by 2020, DesignCon is the ideal forum for attendees across these interlaced industries to exchange ideas and develop solutions to meet consumer demand. "The market and value for connected, especially fast connected products, is on the rise," said Suzanne Deffree, brand director, Intelligent Systems & Design, Informa Markets.

Learn how to run Multiple Linear Regression Analysis using Python from scratch! Learn the process of Machine Learning and all the tasks / steps you must undertake. Then, learn how to apply them using some dummy data and a Multiple Linear Regression Algorithm in Python using scikit (SKLearn) library. How to use our Linear Regression model How to download and install Python through Anaconda: https://youtu.be/__8BK62j-bw

Learn to use Python for Deep Learning with Google's latest Tensorflow 2 library and Keras! This course will guide you through how to use Google's latest TensorFlow 2 framework to create artificial neural networks for deep learning! This course aims to give you an easy to understand guide to the complexities of Google's TensorFlow 2 framework in a way that is easy to understand. We'll focus on understanding the latest updates to TensorFlow and leveraging the Keras API (TensorFlow 2.0's official API) to quickly and easily build models. In this course we will build models to forecast future price homes, classify medical images, predict future sales data, generate complete new text artificially and much more!

That is, the network has learned the generic shape of a feature, such as a mouth or a nose, and can detect this feature in the input data despite variations it might have. In the second row of the preceding image, we can see how the deeper layers of the network combine these features into even more complex ones, such as faces and whole cars. A strength of deep neural networks is that they can learn these high-level abstract representations themselves by deducing them from the training data. We could define deep learning as a class of machine learning techniques where information is processed in hierarchical layers to understand representations and features from data in increasing levels of complexity. In practice, all deep learning algorithms are neural networks, which share some common basic properties.

At a packed hall in Lagos, a gathering of education and technology enthusiasts cheered for a milestone moment: the launch of Nigeria's first book on artificial intelligence for primary and secondary schools. The eight-chapter book illustrated with animations is written by Olubayo Adekanmbi, convener of Data Science Nigeria (DSN). His organisation has taken an active role in democratizing artificial intelligence application and research in Nigeria. With a suite of hands-on training programmes, toolkits and events, Data Science Nigeria aims to increase Nigeria's presence on the global AI map. "AI is a catalyst for good that creates new frontiers," Adekanmbi said, in his remarks at the launch.