Author(s),: Team Artificial Intelligence Newsletter (AI) by #16. If this email is difficult to read, you can view it in a browser. All the best. All of us hope that you’re well. This issue features an informative cheat sheet that outlines key concepts in machine learning, history of artificial Intelligence (AI), how neural networks work, evolution of text-based art, and current data science market trends. TolokaAI brings you this issue. The Toloka App Service, a high-quality turnkey solution to unsupervised data labeling, is the best. Toloka App Services takes care of all aspects, from project setup to quality control. This solution can be used to classify images, videos and webpages as well as extract information from web pages and select objects. Read more Your feedback, including your thoughts on the new format and other feedback would be greatly appreciated. Please feel free to send us an email in any situation. It would be a pleasure to meet you. Let’s move on. Google Software Engineer Frank Dai and other contributors created a machine learning cheat sheet. It contains many classic machine learning equations. This cheat sheet is very useful as it covers many key concepts in machine learning and can be used to help you get job interviews for machine-learning jobs. Artificial Intelligence (AI), Origin: In 1955,, a group led by John McCarthy and Marvin Minsky launched the AI Project. They were assisted by Nathaniel Rochester. Allen Newell. Herbert Simon. William Kautz, John McCarthy and Marvin Minsky. The original title of this project was “A proposal for the Darthmouth Summer Research Project Artificial Intelligence” and it was published in August 31 that year. It is a fascinating piece of technology history. What can neural networks think? A group of DeepMind scientists, Jan Balaguer and Charles Blundell, published recently a scientific paper titled “PonderNet” that describes a new algorithm for neural networks that allows them to “ponder” and “think for awhile” before taking decisions about complex tasks. This is similar to the way humans and computers think. DALL-E: This amazing project from Open AI shows how neural networks can create images from text. What about art? Charlie Snell is an undergraduate researcher at Berkeley AI. He recently wrote a blog entitled “Alien Dreams” that explains how different models can create art, including CLIP, DALL–E, VQ–Gan and StyleGAN. — highlighting the key milestones of CLIP-based, generative art. Data Science Job Market Trends. We’ve updated our data science market trend research. This includes a deeper dive into the skills required to get a job in 2021. Based on more 3000 related jobs posts, we show you what these essential skills are. We would love to hear your suggestions and feedback. Thank you so much for taking the time to read our newsletter. We are so grateful for your interest in the newsletter. If you don’t already subscribe, please consider it. Your support is greatly appreciated. We are grateful for your time. and Saray, thank you for reading! Join 25,000 data leaders on the newsletter. We don’t spam and it’s completely free. Stay up-to-date with AI news. Research, projects and new ideas. We invite you to become a sponsor if you’re working on an AI product or service. Join us + This story was first published on Medium by . People are responding and highlighting it on Medium. Published via
Key ML Concepts: How did AI come to be, and Can NNs think? Add +
