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"This is an amazing Google Docs add-on which allows you to make audio and other comments and feedback on students' work. It's a wonderfully easy way to mark homework and assignments. Students can also reply to feedback with audio comments."

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Get help for Liberty University PHSC 210 Week 1 Quiz . We provide Earth Science Assignment Help, Earth Science Course Help,Earth Science Tutors Help ,discussions and case studies help for all subjects Liberty-University for Session 2017-2018.

Impact of informal speech and MSN talk on formal writing in teenagers.

How to Prepare for a Data Scientist Interview? Are you struggling to get into data science and wondering what the interviews will be like? You might even know data science. You might also know about Data Science tools and techniques but still getting rejected in the interviews. It is essential to brush up your skillset to become a Data Scientist in demand. These are some times where many of us are hoping to change or find some job. Interview preparation has become an important step to land a good job. What's more, interviews are a serious thing for everybody. Uncertainty, randomness, and human blunders make an interview damn unnerving. Preparing for an interview is the only way to limit your misfortunes during an interview. Here's the step by step guide for Data Science Interview Process The Interview process begins directly from the point you begin investigating the various job positions that allure you. Furthermore, it goes up to the stage of in-person (face to face) interviews. Remember that this is a crucial interview procedure. You probably won't need to experience every single step in your interview procedure. Comprehend and follow the Different Roles, Skills and Interviews Update your Resume and Start Applying! Telephonic Screening Clearing the Assignments In-Person Interaction(s) Post-Interview Steps The above-mentioned steps will be helpful all through your Interview preparation! Know about different Roles, Skills and Interviews in Data Science The main thing you need to comprehend is that there are many jobs in the data science environment. An average data science project has a life cycle. A data scientist is just one part of an effective data science project. Let's check out a quick run-through of different data Scientist job roles. Data Scientist Business Analyst Data Analyst Data Visualizer Analyst Data Science Manager Data Architect AI Engineer PC Vision Engineer

The present study has dealt with the related concepts of operations management for the organisation of Dominos. Block chain; value proposition and order fulfilment process has also been considered in the respective study.

What is a Chatbot? Chatbots are computer programs or software through which a human can communicate with digital devices just like a real human. It helps in conversation as if a real human is doing, it's mainly through texts. It doesn't communicate like robots, the texting system works like a real person typing. This gives the end-user a feeling of talking to a real person and not computerized texting. It's also known as digital assistants. Why are Chatbots used? Quicker replies. Problems solving or solving complaints. To get descriptive explanations and answers. To connect to a human customer service agent. Book a reservation. Payments of bill. Buy things online. To get suggestions for buying. Over the last few years, chat systems have become more popular. Millennials prefer chatting over emails. Many people are not comfortable talking on phone calls with customer service care and prefer to chat in the chatbot of the applications or website. Chat applications like Whatsapp have become more popular nowadays. In business, chatbots make it easier for the user to communicate. Chatbots must be a part of your marketing strategy To keep up with the competitive era, automated digital systems are preferred more. The easier, the friendlier. In the digital era, Chatbots are the virtual agents who help the users using Natural Language Process (NLP) and always reply in a logical manner rather than the robotic types. Here are the few important points which state why you should include Chatbot in your marketing strategy: Saves Time & Money: Chatbots replace the labor work, which used a lot of money and time. When people reply it takes time because humans take much more time than an AI system to do the same work assigned. Helps understanding customers better: Every time a new customer enters the site or application, chatbots ask the customer a few questions which help in serving the customer better next time. In the case of old customers, the chatbots collect past

Most business Entrepreneurs and Data Scientists can disclose how to triumph with (AI) and ML, yet rarely anyone can share to fail with such technologies. While the innovation is solid and publicised   there is a lot of ways to fall flat with AI. Let's talk about nine innovative approaches to censure any AI startup to bankruptcy. #1 Cut R&D expenses AI requires heavy expenditure in cutting-edge research, experimentation, advanced computing, and computing infrastructure. Any AI startup willing to create helpful AI innovations needs to spend a lot of money on innovative work (R&D). To scale down expenses in this area, cutting R&D expenses will rapidly make way to failure. #2 Technology Bubble operation Technology is confined to the social condition in which it is created. Technology never sustains itself but other various important aspects. AI has failed a few times since the commencement of computer science not for technical reasons but as a result of an absence of social need and interest at that point. Experience has taught that AI advancements can't be made in isolation from the social conditions that make them important (like medical care, Health analysis, and money). It is quite crucial to first engineer people to persuade them. Before designing the actual technology, visionaries and business visionaries convince them to suspend their questions and embrace the novelty and utility of disruptive ideas. Working in a bubble and overlooking the current necessities of society is a certain way to failure. #3 Prioritize Technology over business technique Only technology isn't enough to make progress, regardless of how strong it is. In the end, Tech startups also need a great strategy to succeed in being a business entity. Any startup that comes up short on a technique for recognizing objective business sectors, generating sales, and viably allotting and spending resources, yet gives need only to their technical resources, is destined to fail rapidly.

"Towards the end of the academic year, it is time for many students to hand in their long-awaited assignments, signalling the end of another semester of inspiring teaching and learning. For their teachers, being faced with a collection of essays can seem overwhelming and being able to check the originality and authenticity of each one could take a considerable amount of time."

Project Risk Management There will be an impact and probability score that will be assigned to each of the risk identified through the project risk management approach.

The assignment provides an in-depth review of the company through a detailed Airbnb SWOT analysis.

The growth of any company is highly dependent on the human resource that they own in order to carryout their operation in a proper manner.

"This plot shows the 1,138,841 most frequently assigned texts in the Open Syllabus corpus, a database of 7,292,573 college course syllabi. "