Daliana's Game

Jerry is the COO/Founder of Wonsulting and an ex-Senior Strategy & Operations Manager at Google & used to lead Product Strategy at Lucid. After graduating from Babson College, Jerry was hired as the youngest analyst in his organization by being promoted multiple times in 2 years to his current position in Google. With Wonsulting, Jerry partners with universities & organizations (220+ to date) to help others land into their dream careers. He's amassed 250,000+ followers across LinkedIn, TikTok & Instagram and has reached 40M+ professionals. In addition, his work has been featured on Forbes, Newsweek, Business Insider, Yahoo! News, LinkedIn & elected as the 2020 LinkedIn Top Voice for Tech. Jerry shared his expert advice on how to network effectively, how to send messages to recruiters, and how he used data analytics to solve million dollar business problems. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science. Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/ Daliana's Twitter: https://twitter.com/DalianaLiu

Alexey Grigorev is a principal data scientist at OLX Group, He is also the founder of Data Talks Club with 4,100 members. He wrote a book called "Machine Learning Bookcamp" to help people learn machine learning by doing projects. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science. Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/ Daliana's Twitter: https://twitter.com/DalianaLiu We talked about: how Alexey transitioned into machine learning - What kind of project helped him get his job - 2 mistakes new data scientists often make - Why do you need to know the baseline  - What makes you stand out as a candidate  - His free machine learning course      #datascience #machinelearning #ai #ml #career

Jim Zheng is an engineering manager at Flexport, building the data platform; he was a data scientist at Salesforce, worked at Yahoo as a UX designer, and was a researcher in computer science at Stanford. He is also the cofounder of Senpai, an audio platform for experts to share domain knowledge.  If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science. Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/ Daliana's Twitter: https://twitter.com/DalianaLiu Ask Jim a question on Senpai: https://beta.senpai.so/ataki12 Jim's article on how to send cold emails: https://www.linkedin.com/pulse/hiring...  We talked about: - Jim's career path in engineering and data science - What makes a great data scientist  - What's the future of data scientists  - What's a 'human cloud'  - How to network like a champion  - Best way to work with mentors  - Career advice to his younger self   - Life lessons he learned from playing chess  

Gerald Friedland is the CTO of an AI company (Brainome) and a professor at UC Berkeley. Listen to his advice on how to build more resilient machine learning models and get inspired by his career journey!  If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science and career. Gerald’s LinkedIn: https://www.linkedin.com/in/geraldfriedland/ Gerald’s Class: https://www2.eecs.berkeley.edu/Courses/CS294_3438/ Gerald’s Youtube Lectures: https://www.youtube.com/playlist?list=PL17CtGMLr0XzOsLydB0jik4UpEyoW5SOx Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/ Daliana's Twitter: https://twitter.com/DalianaLiu (00:00:00) Introduction (00:01:06) How did he get into machine learning (00:12:13) How to Reduce Overfitting (00:22:15) Technology in Brainome (00:24:13) Brainome vs auto ML (00:27:08) Measurement of a data-centric approach (00:27:32) Data Drift (00:32:28) Courses to take (00:34:33) Information theory (00:38:06) Advice for students in grad school (00:42:43) Dealing with failure and stress (00:44:05) The underdog story (00:49:12) Who is Gerald Friedland (00:50:00) Inspiration of Gerald (00:51:08) Future of machine learning (00:52:36) Tips for asking the right questions (00:53:40) Question your assumptions (00:54:10) Favorite books and courses (00:56:34) Advice on machine learning (00:57:52) Ideal qualities of an ML engineer