AI Paths

05/18/2021

http://www.r2d3.us/visual-intro-to-machine-learning-part-1/

Interested in learning more about decision trees and how they help identify patterns in datasets? R2D3 introduces this machine learning technique in a fun interactive visualization that explores the contrasts in homes in New York versus homes in San Francisco! Scroll through to experience the visual designs that illustrate how this statistical model identifies boundaries and makes predictions.

What is machine learning? See how it works with our animated data visualization.

05/16/2021

Check out this informative report created by the Deloitte AI Institute that explores the importance of expanding diversity within the AI industry!https://www2.deloitte.com/content/dam/Deloitte/us/Documents/deloitte-analytics/us-consulting-women-in-ai.pdf
This article illustrates how gender diversity, especially in positions of leadership, has been proven to increase profitability for organizations across various industries. It highlights perspectives from women AI leaders in companies such as Ribo AI, AWS, Illumina, and Deloitte Consulting. In summary, this study shows there is a promising shift on the horizon for women in AI, but there is still work to be done! Give it a read and sign up to be a fellow for AI Paths at www.ai-paths.org to experience how we strive to create a better future for underrepresented groups in AI and Data Science.

05/14/2021

If you haven’t had the chance to watch our latest Speaker Series - Industry Perspective episode with Leigh Yeh, go watch now! You can find the video on our Youtube channel and all of our other social media accounts at this convenient and useful link: https://linktr.ee/AIPaths ➡️ Follow us on all platforms so you never miss important announcements or helpful resources! 🤝

05/10/2021

**LINK TO NEW VIDEO** --> https://youtu.be/Vp8AmW43Zrc

AI Paths brings to you the newest installment in our Speaker Series, where Mohamad Yassin meets with Leigh Yeh who shared insights about her job as an artificial intelligence engineer. She told Mohamad that her job functions included data science, software engineering, and some research and development; as for the machine learning and modeling part, she spent 70-80 percent of her time pre-processing the data, which included data cleaning and wrangling, exploratory data analysis (EDA), and making visualizations. Also, Leigh thinks that it’s very important for people in data science or tech to have experience in other fields. For instance, she had to study linguistics as part of her cognitive science major, which later helped her gain a better understanding of how to select features that were required to build natural language processing (NLP) models. We are very lucky to share with our fellows this industry perspective from Leigh this week.
Click the link above to watch the entire episode! Interested in exploring more about what AI Paths has to offer? Join us as a fellow at www.ai-paths.org to view more content like this AND please subscribe to our youtube channel (https://www.youtube.com/channel/UC9hgdr6RMgrJ4czsYgidS2w) to stay updated on all future material. Don’t forget to let us know your thoughts and feedback on this episode in the comments, we look forward to seeing what you think!💬

05/03/2021

happy monday everyone! this Wednesday from 3-4 pm PDT AI Paths is hosting an open event that EVERYONE and ANYONE is invited to attend, Cameron Lamoureux will be holding an interactive CV Workshop - a great opportunity to receive advice on your CV/resume drafts and have any particular questions answered. This session will be sure to address the best practices that recruiters in the Data Science and Machine Learning industries are searching for, so don’t miss out! The link to the Google Meet meeting is https://meet.google.com/wtr-juwp-mbx🧑‍💻 You can also register at www.ai-paths.org to RSVP for the event and gain more information.

04/12/2021

**LINK TO NEW VIDEO** --> https://youtu.be/NvdHX4drxIE

In AI Paths newest installment in our Speaker Series, Mohamad Yassin asked Thom Ives about when he started working with data science. He said that the first time he used the least square approach to fit a dataset was in a physics lab in 1980. Tom started taking notice of neural networks and expert systems when he worked on advanced physics-based modeling and control system techniques. And over the years, he realized that there was so much value in the data being collected, so he decided to focus his efforts on data science. Now Thom is a lead data scientist for a global safety certification company. In addition, he is the founder of and a mentor at "Integrated ML & AI." Not to mention he has a bunch of remarkable achievements that include more than 26 U.S. patents. It was truly humbling to have Thom join us for this episode; thank you so much for sharing your data science insights with AI Paths’ fellows.
Click the link above to watch the entire discussion! Make sure to sign up at www.ai-paths.org to join our dedicated group of members and subscribe to our youtube channel found on our page to catch all our Speaker Series episodes. Don’t forget to let us know your thoughts and feedback on this episode in the comments, we are eager to know what you think!🤓

04/09/2021

If you have not had the chance to catch up on our newest Speaker Series installment with Edward Krueger and Mohamad Yassin, take this weekend to go watch it! It shows a great perspective on the Industry side of the data science/business analytics aspect in the work force. Let us know what you think of the video in the comments and subscribe to the Youtube channel "AI-Paths" to stay in the loop about future video postings 🌐 Make sure you are also following our page AI Paths to keep up with all our relevant content!

04/06/2021

**LINK TO NEWEST VIDEO** --> https://youtu.be/QYuFCt4wfmI

For AI Paths’ third episode in our Speaker Series, we had the insightful opportunity to speak with Edward Krueger. Edward spoke with our host Mohamad Yassin about his unique data science journey. He wanted to learn data science and software engineering because it provided him an opportunity to apply the math and statistics he learned at university to real world problems. Edward told Mohamad how the abundance of information and various digital resources helped him became a self-taught data scientist. And now, he is a senior data scientist, and an instructor of a data analytics and visualization bootcamp.
Please watch this episode of the Speaker Series to learn more! Don’t forget to register at www.ai-paths.org to join our amazing group of fellows AND subscribe to our youtube channel here (https://www.youtube.com/channel/UC9hgdr6RMgrJ4czsYgidS2w) to catch all our Speaker Series installments. Let us know what you think about this episode in the comments, we would love to hear your thoughts and feedback!✏️

03/29/2021

**LINK TO NEW VIDEO** —> https://youtu.be/nxiOIG-FCpw

We were truly honored to meet with Evelina Di Corso during this exciting new installment in our AI Paths’ Speaker Series. And we can’t wait for our AI Paths’ fellows to watch it now!
During this episode, Mohamad Yassin asked Evelina about her advice for aspiring data scientists. She says: “I think that Albert Einstein is my mentor, because he said: I’m curious. So be curious!”
Evelina’s academic career began at the Politicnico De Torino as a mathematical engineer. Then she completed her PhD in Computer and Control Engineering, focusing on data mining. After academia Evelina transitioned into industry as a data scientist at Banco del Piomonte in Northern Italy. Now she utilizes machine learning and data mining for marketing and customer segmentation. Evelina said that the nature of her data science work was quite different between academia and industry. The processes were longer and more complex in industry. And new skills are usually developed after school.
Interested in learning more about AI Paths’ Speaker Series? Join AI Paths as a fellow to catch more content like this episode: www.ai-paths.org AND subscribe to our youtube channel (https://www.youtube.com/channel/UC9hgdr6RMgrJ4czsYgidS2w) to stay up to date on future Speaker Series videos 📫

03/26/2021

Haven't had the chance to watch our first Speaker Series video? Make sure to head on over to our youtube channel "AI-Paths" and catch up on the episode over this weekend!🎥 Click on this link --> https://youtu.be/U1QfWN9Wl_A

03/22/2021

***LINK TO VIDEO*** —> https://youtu.be/U1QfWN9Wl_A

We are proud to present Meng Zhao in our AI Paths' Speaker Series - Industry Perspective. She'll talk with Mohamad Yassin about day-to-day activities as a Data Scientist and how she transitioned from Science into Data Science.AI Paths' Speaker Series is a fantastic opportunity to learn about what it means to work in the fields of Data Science and AI. We deliver captivating stories and insights featuring Data Science and AI professionals from the US, Europe and across the world. This season is focussed on industry perspectives, in which industry professionals present their the day-to-day activities and share their tips and tricks on how to get into the field.
Access to the AI Paths speaker series is free. Follow our youtube channel through this link (https://www.youtube.com/channel/UC9hgdr6RMgrJ4czsYgidS2w) and become an AI Paths fellow today by applying at https://www.ai-paths.org, we look forward to you joining our amazing group of fellows!