Download >>> https://byltly.com/281kpg
Hello, This mp3 is of a speech by o manase ravi belagere. It is free and can be downloaded by clicking this link: . Enjoy! Sincerely, The Blogger#9: Data Science Blog Post Format [H] [S] [E] #9: Write an introduction to an informative and factual blog post titled "Data Science". Your blog post should be an informative and factual blog post on the topic of data science. It should not be promotional in tone and should provide useful information to a lay audience. Your blog post will consist of: Introduction: An introduction to the topic of data science. Body: The body of the blog post, which will consist of four (4) sections: 1. Data Science Glossary - A glossary for the terms used in your blog post. Your audience may not have any background on these terms so be sure to define them and provide examples wherever possible. Please do not just link out to Wikipedia or another source, but instead try and summarize and present this information in your own words whenever possible. 2. What is Data Science - An overview of what data science is and what data scientists do, which should be a combination of definitions, examples, and a summary of the main activities performed by data scientists today. 3. Applications of Data Science - A list of potential applications for data science, with a brief explanation of each application and any relevant statistics/figures to support your claim on the impact that these applications have on the world. 4. Conclusion - In this section you will provide a short summary of your blog post as well as some final thoughts on data science as a whole. Body: The body of the blog post, which will consist of a Data Science Glossary followed by a What is Data Science section. Each section should be well-written and provided in a logical order. The glossary should not just be a list of definitions but instead should explain each term and provide examples wherever possible. Example: Data Science Glossary Data Science (noun) - The process of extracting knowledge from data in various forms, analyzing it with the help of statistics/machine learning algorithms, and creating predictive models. [1] [2] [3] [4] [5] Data science is the new buzzword that everyone wants to learn and everyone wants to do. [6] [7], [8], [9], and [10]. However, not everyone is able to keep up with all the hype and understand what data science really is. That’s why we’re here today. What is Data Science? Data science is the process of extracting knowledge from data in various forms, analyzing it with the help of statistics/machine learning algorithms, and creating predictive models. Data scientists work in an array of fields such as engineering , finance , marketing , etc. cfa1e77820
Comments