I am in need of few responsible writers who can write on any topic given to them. Need articles for my blog. I do expect writers to be able to complete 3500-4000 words a day. I have provided details terms and condition in attached below. Please submit your bid only after reading to the attached file and after agreeing to it. As I am not looking to negotiate
I have a PowerPoint presentation that I want to turn into a video. Your job would be to write the script based on the slides of the presentation. I will also provide you lots of background information in case you would like to add more content and if you have any questions contact me I'll help you out with the "science behind it all". I would need you to get started working on this...
I need you to write some articles.
...of documentaries. Unfortunately i don't have the time to get through the entire list of all my material. But i am interested in organizing a sort of reading/viewing list by topic, by interest and by perhaps urgency. Your task would be to go through my collection of articles (you wont have to read them all, but a cursory understanding of the subject
We want to create animated video explaining what is black holes we will add animation according to script no need to worry about it Script should be interesting and easy to understand and straight to the point feel free to set tone for video Expected video length is 5 min(900 words) following are some example [login to view URL] [login to view URL] If you have any question you can ask us.
1000 word YouTube video script for topic "black holes".
...documentaries. Unfortunately i don't have the time to get through the entire list of all my material. But i am interested in organizing a sort of reading/viewing list by topic, by interest and by perhaps urgency. Your task would be to go through my collection of articles (you wont have to read them all, but a cursory understanding of the subject
...Latent Dirichlet Allocation topic model used to find topics and sub-topics I need to use it to classify a set of documents as follow: Using a topic model (here, HLDA) to get the topic proportions for every document. Then applying a supervised ML algorithm (e.g. SVM) to predict the ground truth labels/classes from the topic-proportion vector of each document
Hello, The following topic and case study is outlined in the document attached. The research paper should contain the following: 1. Title page, Acknowledgements, Table of contents 2. Executive Summary 3. Introduction 4. Literature review 5. Methodology Design 6. Data Collection 7. Analysis 8. Discussions (Conclusions + Recommendations) 9. Appendices