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Kickstart your learning of Python with this beginner-friendly self-paced course taught by an expert. Python is one of the most popular languages in the programming and data science world and demand for individuals who have the ability to apply Python has never been higher. This introduction to Python course will take you from zero to programming in Python in a matter of hours--no prior programming experience necessary! You will learn about Python basics and the different data types. You will familiarize yourself with Python Data structures like List and Tuples, as well as logic concepts like conditions and branching.
Whether you're just beginning to work with Artificial Intelligence (AI) or you already have AI experience and are new to Microsoft Azure, this course provides you with everything you need to get started. Artificial Intelligence (AI) empowers amazing new solutions and experiences; and Microsoft Azure provides easy to use services to help you build solutions that seemed like science fiction a short time ago; enabling incredible advances in health care, financial management, environmental protection, and other areas to make a better world for everyone. In this course, you will learn the key AI concepts of machine learning, anomaly detection, computer vision, natural language processing, and conversational AI. You'll see some of the ways that AI can be used and explore the principles of responsible AI that can help you understand some of the challenges facing developers as they try to create ethical AI solutions. This course will help you prepare for Exam AI-900: Microsoft Azure AI Fundamentals.
This is the best Python tutorial for beginners. Here you are going to be introduced to the amazing world of programming. You will be taught about the basic staff of programming and how you can construct programs in Python. This online Python crash course will cover the concepts like variables, functions, logic, expressions, and also conditionals. These are the basic concepts of programming.
If anyone has questions about which course may work best for them, please feel free to contact or message me. I will teach you the real-world skills necessary to stand out from the crowd. Hardly it can be 8-10 hours.. Professionally, I am a Data Scientist having experience of 7 years in finance, E-commerce, retail and transport. From my courses you will straight away notice how I combine my own experience to deliver content in a easiest fashion. To sum up, I am absolutely passionate about Data Analytics and I am looking forward to sharing my own knowledge with you!
Artificial intelligence (AI) is the ability of a digital computer or computer-controlled robot to perform tasks that are commonly associated with intelligent creatures. Every student needs a perfect and well-polished course for better learning, no matter if they are fresher or has experience. That's why I wrote this post for those who are really confused about "which course is best for them from all over the Web?". This story is all about the best courses in "Artificial Intelligence" available on the market. This list is a little bit heavy but very exciting because all the courses listed here come from the most popular international educational websites like Coursera, Udacity, Udemy, and more.
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.
If you want to gain the skills necessary to query big data with modern distributed SQL engines, then this specialization is for you. The best part of this course is that it will teach you a newer breed of SQL engine: distributed query engines Hive and Impala. Hive and Impala are open-source SQL engines capable of querying enormous datasets. Another advantage of this specialization program is that this program provides excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam. This Specialization program consists of 3 Courses.
This course, which has been developed by Coursera in collaboration with Harvard University, will allow you to take the first step in resolving major real-world challenges. It describes and explains the theories that are behind new-age technologies like game-playing engines, handwriting recognition and machine translation. It explores in detail the concepts and algorithms that underpin modern AI.
Predicting contextualised engagement in videos is a long-standing problem that has been popularly attempted by exploiting the number of views or the associated likes using different computational methods. The recent decade has seen a boom in online learning resources, and during the pandemic, there has been an exponential rise of online teaching videos without much quality control. The quality of the content could be improved if the creators could get constructive feedback on their content. Employing an army of domain expert volunteers to provide feedback on the videos might not scale. As a result, there has been a steep rise in developing computational methods to predict a user engagement score that is indicative of some form of possible user engagement, i.e., to what level a user would tend to engage with the content. A drawback in current methods is that they model various features separately, in a cascaded approach, that is prone to error propagation. Besides, most of them do not provide crucial explanations on how the creator could improve their content. In this paper, we have proposed a new unified model, CLUE for the educational domain, which learns from the features extracted from freely available public online teaching videos and provides explainable feedback on the video along with a user engagement score. Given the complexity of the task, our unified framework employs different pre-trained models working together as an ensemble of classifiers. Our model exploits various multi-modal features to model the complexity of language, context agnostic information, textual emotion of the delivered content, animation, speaker's pitch and speech emotions. Under a transfer learning setup, the overall model, in the unified space, is fine-tuned for downstream applications.