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Building AI that Comprehends the Online Education Problem

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Education is complex – really complex. We humans struggle with both the scale and the granularity of educational options, which result from huge variation in learning content, learning targets, individual skills and learning styles, as well as other factors in the learning environment. Experienced human teachers in physical classrooms, or those teaching small groups over the Internet, can address this complexity well in the subject areas where they have experience. But this solution does not scale well to online education, which is a growing imperative. There is an explosion of excellent (and not so good) online education content, but getting the right content to the right people, in the right way and at the right time, is an extremely challenging problem.


Udacity Machine Learning vs. Simplilearn Machine Learning - for your ML Career

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You will receive 58 hours of applied instructor-led training. To earn the certification, you should attend a full batch of online training and submit a completed project for the flexi-pass learners or complete at least 85% of the course and submit one completed project for the self-paced learners. The machine learning certification course by Simplilearn is designed for learners with intermediate-level machine learning knowledge and skills in various roles, including business analysis, data analysis, information architecture, data science, machine learning, and others. To take this course, you need a college-level understanding of statistics and mathematics as well as Python programming knowledge. Simplilearn offers a blended learning approach that gives learners access to both live instructor-led training and recorded-videos.


The Use of AI for Accessible Education

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Many times AI has been put on a pedestal as the future of x y & z, however, many seem to agree that education is a sector in particular which will see stark changes in both admin, teaching styles, personalisation and more. I had the pleasure of speaking to three individuals working in the field, including, Vinod Bakthavachalam, Senior Data Scientist at Coursera, Kian Katanforoosh, Lecturer at Stanford University & Sergey Karayev, Co-Founder and CTO of Gradescope. We began by having Sergey of Gradescope walk us through his product, which has been recently acquired by turnitin. The concept, it seemed was formed from the simple and widespread issue of both lack of consistency, lack of insight through time constraint and delayed feedback on academic work. Sergey found that scanning the papers onto an online interface when paired with a rubric can allow for accurate marking in seconds across several papers.


Driving sales efficiency with Dynamics 365 and Microsoft AI

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In today's world of selling, Dynamics 365 and AI form a powerful combination that helps sales professionals stay as productive as possible. Microsoft Core Services and Engineering (CSEO) used Dynamics 365 for Sales and Microsoft AI to create a solution to present the highest-priority sales leads in the system to sellers. With this new solution, sellers can quickly act on the leads most likely to become customers. The solution creates an efficient and simple system for discovering and contacting the best lead. To generate global demand for Microsoft products and services, the marketing and sales organization collects leads when people request information or access gated content via an online form.


Do You Need A Masters Degree to Become a Data Scientist?

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Given the hype going on about data science, this is a very valid question, do you need a master's degree. If this hype is genuine or not is also another big question. But this article will focus on if a master's degree is necessary. There are so many other short, easier, and cheaper options out there. Is it still necessary to go through a big academic process?


Understanding Artificial Intelligence Marketing: Approaches and Techniques - DATAVERSITY

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Click here to learn more about Gilad David Maayan. What Is Artificial Intelligence Marketing? In marketing, artificial intelligence (AI) is the process of using data models, mathematics, and algorithms to generate insights that marketers can use. Marketers use insights gained from AI to guide future decisions on event spending, strategy, and content topics. AI also makes it possible to measure and optimize marketing activities without human intervention.


60 Best FREE Online Courses for Machine Learning & Artificial Intelligence

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Are you looking for the Best Free Online Courses for Machine Learning & Artificial Intelligence? If yes, then this article will definitely help you and provide the 60 best free online courses for machine learning & artificial intelligence from various platforms. I would recommend you bookmark this article for future reference. Because this article will not only provide free courses but also saves your searching time for different free courses for machine learning and artificial intelligence. So without any further ado, let's get started- For your convenience, I have created a table, so that you can filter out the course according to your need.


2021 Data Science/MachineLearning Project Deployment Mastery

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Then this course is for you!! This course has been practically and carefully designed by industry experts to offer the best way of learning Data Science and Machine Learning the practical way with hands-on projects throughout the course. This course will help you learn complex Data Science concepts and machine learning algorithms the practical way for easier understanding. We will walk you through step-by-step on each topic explaining each line of code for your understanding. There is going to be a lot of fun, excited, and robust projects to better understand each concept under each topic.


Machine Learning for Trading

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Students should have strong coding skills and some familiarity with equity markets. No finance or machine learning experience is assumed. Note that this course serves students focusing on computer science, as well as students in other majors such as industrial systems engineering, management, or math who have different experiences. All types of students are welcome! The ML topics might be "review" for CS students, while finance parts will be review for finance students.


Machine Learning with ML.Net for Absolute Beginners

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Hey, My name is Nilay Mehta! I am an experienced .Net developer, having the Microsoft certificate of Programming with C#.Net. I have a Master of Computer Applications and Bachelor of Computer Application degrees. I've worked with a range of development tools from PHP, C#, ASP.NET, and ASP.Net core. I am a passionate software engineer who loves learning new technologies, and from the past 3 years, I'm enjoying sharing that knowledge through blogs and courses.