Karuna Maheshwari is Master in Arts and Commerce background. His Field of Interest is Audit, Business Economics and E-Commerce. In the Education she also Hold the Degree in Post Graduate Diploma in the Computer. She has 15 Years of Teaching Experience. She has the Commanding Knowledge in the Field of Economics and History.

I am a self taught software engineer focusing on software development and machine learning. I focus on teaching my students practical software engineering so they can perform at their best abilities in the real world. I also have experience with artificial intelligence and machine learning.

With the increased adoption of E-learning platforms, keeping online learners engaged throughout a lesson is challenging. One approach to tackle this challenge is to probe learn-ers periodically by asking questions. The paper presents an approach to generate questions from a given video lecture automatically. The generated questions are aimed to evaluate learners' lower-level cognitive abilities. The approach automatically extracts text from video lectures to generates wh-kinds of questions. When learners respond with an answer, the proposed approach further evaluates the response and provides feedback. Besides enhancing learner's engagement, this approach's main benefits are that it frees instructors from design-ing questions to check the comprehension of a topic. Thus, instructors can spend this time productively on other activities.

At each step, get practical experience by applying your skills to code exercises and projects. This program is intended for students with experience in Python, who have not yet studied Machine Learning topics.

Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems? In this course, you will get hands-on experience with machine learning from a series of practical case-studies. At the end of the first course you will have studied how to predict house prices based on house-level features, analyze sentiment from user reviews, retrieve documents of interest, recommend products, and search for images.

Artificial Intelligence has revolutionized many industries in the past decade, and healthcare is no exception. In fact, the amount of data in healthcare has grown 20x in the past 7 years, causing an expected surge in the Healthcare AI market from $2.1 to $36.1 billion by 2025 at an annual growth rate of 50.4%. AI in Healthcare is transforming the way patient care is delivered, and is impacting all aspects of the medical industry, including early detection, more accurate diagnosis, advanced treatment, health monitoring, robotics, training, research and much more. In light of the worldwide COVID-19 pandemic, there has never been a better time to understand the possibilities of artificial intelligence within the healthcare industry and learn how you can make an impact to better the world's healthcare infrastructure. Artificial Intelligence has revolutionized many industries in the past decade, and healthcare is no exception.

In the last decade, the demand for artificial intelligence programmers has increased exponentially, both in Mexico and throughout the world. According to Gartner, sectors such as energy, retail, financial services, telecommunications and manufacturing, are the most predisposed to take advantage of artificial intelligence in Mexico. Precisely Donald Feinberg, research director at Gartner, specializing in the area of artificial intelligence (AI), assures that in the country this field of information technology is reaching a very important role, as important as the one it already has in the United States. However, according to the National Institute of Statistics and Geography (INEGI), in the country there are 976 thousand people trained in computing or information and communication technologies, of which 241 thousand, at least, do not have a related job to the race. For this reason, it is becoming increasingly necessary to carry out training, through which the knowledge and skills required by emerging technologies, such as artificial intelligence, are obtained, and thus be able to aspire to the jobs offered by different companies.

At each step, get practical experience by applying your skills to code exercises and projects. This program is intended for students with experience in Python, who have not yet studied Machine Learning topics.

Amazon Web Services has partnered with education technology company DeepLearning.AI to offer a new specialization to help data professionals quickly master the essentials of machine learning and efficiently deploy data science projects at scale in the AWS cloud. The three-course Practical Data Science Specialization with Amazon SageMaker, AWS' fully managed machine learning (ML) service, is available through Coursera's education platform. The new, massive open online course (MOOC) addresses a critical factor to success with ML: growing the talent pool and helping more people become ML practitioners, according to Bratin Saha, vice president of machine learning services for AWS. "At Amazon, our goal is to train every developer we hire on machine learning," said Saha, who announced the new specialization during the opening keynote address for today's virtual AWS Machine Learning Summit. "In fact, machine learning courses are now mandatory for any engineer joining Amazon, and we want to make training accessible to even more developers."

Learning how to program in Python is not always easy especially if you want to use it for Data science. Indeed, there are many of different tools that have to be learned to be able to properly use Python for Data science and machine learning and each of those tools is not always easy to learn. Then you will definitely love this course. Not only you will learn all the tools that are used for Data science but you will also improve your Python knowledge and learn to use those tools to be able to visualize your projects. This course is structured in a way that you will be able to to learn each tool separately and practice by programming in python directly with the use of those tools.