Udemy course Beginning Machine Learning with AWS by Packt Publishing
Beginning Machine Learning with AWS is the best Udemy course on the market. With this offer they will be able to greatly improve their knowledge and become more competitive within the Development category. Therefore, if you are looking to improve your Development skills we recommend that you download Beginning Machine Learning with AWS udemy course.
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- Author: Packt Publishing
- Course rating: 3.5
- Category: Development
- Modality: Online
- Status: Available
- Idiom: English
Abouth Packt Publishing
Packt has been committed to developer learning since 2004. A lot has changed in software since then – but Packt has remained responsive to these changes, continuing to look forward at the trends and tools defining the way we work and live. And how to put them to work.
What the udemy Beginning Machine Learning with AWS course teaches?
What you’ll learn Get up and running with machine learning on the AWS platform Analyze unstructured text using AI and Amazon Comprehend Create a chatbot and interact with it using speech and text input Retrieve external data via your chatbot Develop a natural language interface Apply AI to images and videos with Amazon Rekognition
Explore the power of cloud services for your machine learning and artificial intelligence projects
More information about the course Beginning Machine Learning with AWS
Machine Learning with AWS is the right place to start if you are a beginner interested in learning useful artificial intelligence (AI) and machine learning skills using Amazon Web Services (AWS), the most popular and powerful cloud platform. You will learn how to use AWS to transform your projects into apps that work at high speed and are highly scalable. From natural language processing (NLP) applications, such as language translation and understanding news articles and other text sources, to creating chatbots with both voice and text interfaces, you will learn all that there is to know about using AWS to your advantage. You will also understand how to process huge numbers of images fast and create machine learning models. By the end of this course, you will have developed the skills you need to efficiently use AWS in your machine learning and artificial intelligence projects. About the Author Jeffrey Jackovich , is the author of this course, and a curious data scientist with a background in health-tech and mergers and acquisitions (M&A). He has extensive business-oriented healthcare knowledge, but enjoys analyzing all types of data with R and Python. He loves the challenges involved in the data science process, and his ingenious demeanor was tempered while serving as a Peace Corps volunteer in Morocco. He is completing a Masters of Science in Computer Information Systems, with a Data Analytics concentration, from Boston University. Ruze Richards , is the author of this course, and a data scientist and cloud architect who has spent most of his career building high-performance analytics systems for enterprises and startups. He is especially passionate about AI and machine learning, having started life as a physicist who got excited about neural nets, then going on to work at AT&T Bell Labs in order to further pursue this area of interest. With the new wave of excitement along with the actual computing power being available on the cloud for anybody to actually get amazing results with machine learning, he is thrilled to be able to spread the knowledge and help people achieve their goals. Kesha Williams is a software engineer with over 20 years of experience in web application development. She is specialized in working with Java, Spring, Angular, and Amazon Web Services (AWS). She has trained and mentored thousands of developers in the US, Europe, and Asia while teaching Java at the university level. She has won the Ada Lovelace Award in Computer Engineering from LookFar and the Think Different Innovation Award from Chick-fil-A for working with emerging technologies and artificial intelligence.