Take a deeper dive into machine learning with Amazon Web Services (AWS). In this practical course, instructor Jonathan Fernandes helps to familiarize you with common machine learning tasks, demonstrating how to approach each one using key techniques: binary classification, multiclass classification, and regression. Throughout the course, he walks through several examples, using Kaggle datasets for hands-on exploration. Plus, he reviews some essential machine learning concepts and helps to familiarize you with other AWS capabilities, including SageMaker and Deep Learning AMIs.

The already fast pace of change in mobile payments will only intensify in the next year driven by advances in technology and changing consumer habits. Voice-enabled technology will rise in popularity, driven by the proliferation of devices such as the Amazon Echo and growing comfort with virtual assistants such as Amazon's Alexa, a large part of Amazon's payments strategy. Amazon reported that the Amazon Echo Dot was the best-selling item on Amazon on Black Friday, meaning millions of households are likely to be setting up their new Echo on Christmas morning. As consumers become more comfortable with voice-enabled technology, they will begin using it for financial interactions. Initially these will be informational activities, such as checking balances and accessing account activity, but as comfort grows we'll see consumers initiating transactions such as paying bills or transferring funds.

For some, it is self-evident to use AI in their business and digitalization in the company. For others, it seems more like a trend. And yet we can observe how more and more AI platforms are in use. Nevertheless, and perhaps precisely because of this, it is challenging to determine how to implement this technology. If misused, misunderstood, or wrongly applied, artificial intelligence can damage businesses.

Build a simple model to perform a classification task. Build a simple model to perform a classification task. Train and use machine learning models to make predictions. Train and use machine learning models to make predictions. Explore data and build predictive models.

Perform classifications using a network already created and trained. Perform classifications using a network already created and trained. Import folders of images and make them usable with a given network. Import folders of images and make them usable with a given network. Modify a pretrained network to classify images into specified classes.

Everyone is very busy these days. There is just so much going on with our personal and professional lives. On top of it, lo and behold, something like artificial intelligence starts to gather steam and you learn that your skillset is getting terribly outdated over next two years. When I shutdown my startup Zeading, I woke up to this rude awakening. It looked like was missing out on something very unique.

Everyone is very busy these days. There is just so much going on with our personal and professional lives. On top of it, lo and behold, something like artificial intelligence starts to gather steam and you learn that your skillset is getting terribly outdated over next two years. When I shutdown my startup Zeading, I woke up to this rude awakening. It looked like was missing out on something very unique.

Everyone is very busy these days. There is just so much going on with our personal and professional lives. On top of it, lo and behold, something like artificial intelligence starts to gather steam and you learn that your skillset is getting terribly outdated over next two years. When I shutdown my startup Zeading, I woke up to this rude awakening. It looked like was missing out on something very unique.

Everyone is very busy these days. There is just so much going on with our personal and professional lives. On top of it, lo and behold, something like artificial intelligence starts to gather steam and you learn that your skillset is getting terribly outdated over next two years. When I shutdown my startup Zeading, I woke up to this rude awakening. It looked like was missing out on something very unique.

Everyone is very busy these days. There is just so much going on with our personal and professional lives. On top of it, lo and behold, something like artificial intelligence starts to gather steam and you learn that your skillset is getting terribly outdated over next two years. When I shutdown my startup Zeading, I woke up to this rude awakening. It looked like was missing out on something very unique.