Best Daliana Liu Podcasts (2024)

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Why data scientists are tired, six real data scientists' frustrations - The Data Scientist Show #089 42:22

7M ago42:22

42:22

Daliana interviewed 6 data scientists from her meetup in New York City. It's a unique episode where you get to hear the real frustrations of data scientists. We talked about struggles working in healthcare, finance, data quality and AI, how to advocate for yourself, and align with your managers. Subscribe to Daliana's newsletter on ⁠www.dalianaliu.…

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Why 80% of A/B tests fail, how to 10X your experimentation velocity - Kristi Angel - The Data Scientist Show #088 43:46

7M ago43:46

43:46

Most experimentations fail, Kristi Angel shares her expertise on scaling experimentation and avoiding common A/B testing pitfalls. Learn five things that can help boost test velocity, designing impactful experiments, and leveraging knowledge repos. (Chapters below) Kristi Angel’s LinkedIn: ⁠https://www.linkedin.com/in/kristiangel/ Subscribe to Dali…

1
From physics PhD to data science leader, unexpected challenges in survey data, Python vs R, EDA best practices, building MLOps toolkit - Julia Silge - The Data Scientist Show #087 46:18

8M ago46:18

46:18

Julia Silge is an engineering manager at Posit PBC, formerly know as R-studio, where she leads a team of developers building open source software MLOps. Before Posit, she finished a PhD in astrophysics, worked for several years in the nonprofit space, and was a data scientist at Stack Overflow where some of her most public work involved the annual …

1
Why he created Pandas, the future of data systems, why he left his CTO role to become a chief architect - Wes McKinney - The Data Scientist Show #086 52:24

8M ago52:24

52:24

Wes McKinney is the co-creator of pandas library and he is the cofounder of Voltron data. Currently he is a principal Architect at Posit and an investor in data systems. Daliana's Twitter: ⁠https://twitter.com/DalianaLiu⁠ Daliana’s LinkedIn: ⁠https://www.linkedin.com/in/dalianaliu/⁠ Wes' LinkedIn: https://www.linkedin.com/in/wesmckinn/ (00:00:00) I…

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From financial analyst to director of analytics, how to get promoted quickly, 7 elements of influence - Christopher Fricker - The Data Scientist Show #085 1:13:51

8M ago1:13:51

1:13:51

Christopher Fricker is a senior director in analytics and BI at Renaissance Learning. He started his career in finance and later became a data science consultant working with Meta, Netflix, and pre-IPO tech companies doing analytics. We talked about the mental models that helped him grow from a finance analyst to an analytics leader. Subscribe to D…

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Adapters: the game changer for fine-tuning - Geoffrey Angus - The Data Scientist Show #084 52:45

8M ago52:45

52:45

I interviewed Geoffery Angus, ML team lead @Predibase to talk about why adapter-based training is a game changer. We started with an overview of fine-tuning and then discussed five reasons why adapters are the future of LLMs. Later we also shared a demo and answered questions from the live audience. Try fine-tuning for free: https://pbase.ai/GetSta…

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Landing a job by analyzing Seattle's crime data, from data scientist to founder of interview query, building a lifestyle business - Jay Feng - The Data Scientist Show #083 35:41

9M ago35:41

35:41

Jay Feng created a viral project using Seattle crime data and later got into data science. He later founded "Interview Query" helping data scientists get jobs. We'll talk about how he landed his data science job through his blog, and his journey from data scientist to founder. Subscribe to Daliana's newsletter on ⁠www.dalianaliu.com⁠ for more on da…

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Case studies from the GenAI frontier, scaling ML teams, from biologist to machine learning consultant- Erik Gafni - The Data Scientist Show #082 1:03:40

9M ago1:03:40

1:03:40

Erik Gafni builds AI systems and teams. He founded Eventum AI (https://bit.ly/eventum-ai), an ML consulting company working with high-growth startups. We talked about GenAI projects he worked on, how he built production ML systems, how to scale ML teams, and his journey from biologist to ML researcher. Interested in working with Erik: https://bit.l…

1
Data science job market in 2024, softskills for interviews, AI engineering - Jay Feng - The Data Scientist Show #081 1:07:14

9M ago1:07:14

1:07:14

Jay Feng is the CEO of interview query, a service that help data scientists get jobs. Previously he worked as a data scientist at Nextdoor, Monster. We talked about data science job market, the rise of AI engineering, and the softskills people overlook during interviews. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data scien…

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How to handle being laid off (as data scientists), severance negotiation, full-time employment vs independent consultant - The Data Scientist Show #080 1:06:33

9M ago1:06:33

1:06:33

We are joined by two data scientists who have firsthand experience with layoffs. We’ll talk about how to negotiate severance packages, how to handle stress, strategies for job hunting post-layoff, and how to reduce risks in full-time employment. Working with Daliana on personal branding: https://forms.gle/heNuZzaHjaAMQwLu6 Her email: daliana@dalian…

1
From data analyst to sales engineer, personality-based career design, sales skills for data people - Jenny Wu - The Data Scientist Show #079 57:26

9M ago57:26

57:26

Jenny Wu is a data analyst turned sales engineer for data products at Hex. We talked about sales engineer vs data analyst, how to design a career based on your personality, and how to transition into a customer-facing role. Jenny’s LinkedIn: https://www.linkedin.com/in/jenny-wu-...Daliana's Twitter: https://twitter.com/DalianaLiuDaliana’s LinkedIn:…

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The future of data science teams, integrating AI into data science workflows, building data apps for stakeholders - Barry McCardel - The Data Scientist Show #078 1:04:56

10M ago1:04:56

1:04:56

Barry McCardel is the cofounder and CEO of Hex(free trial: hex.tech/dsshow), a collaborative data workspace. Their customers include FiveTran, Notion, and Anthropic. We talked about what does the future of data team look like, how to tackle challenges of data team collaborations, and how to leverage AI in data science’s workflow.60-day Free Trial: …

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Product data science for Microsoft AI, data scientist's role of GenAI, how to deal with burn out - Sid Sharan - The Data Scientist Show #077 58:57

10M ago58:57

58:57

Siddhartha Sharan is a Senior Data and Applied Scientist at Microsoft, helping product teams make data-driven decisions. Currently he is working on an AI product built with OpenAI APIs for sentiment analysis. We talked about how he evaluates AI products built with large language models at Microsoft, product data science, and how he went from a busi…

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How she doubled her salary in a year as a data analyst, SQL in the real world, is job hopping bad? - Jess Ramos - The Data Scientist Show #076 1:07:48

10M ago1:07:48

1:07:48

Jess Ramos is a Senior Data Analyst at Crunchbase, a LinkedIn Learning Instructor, and a content creator in the data space. She has a bachelor's degree in Math, Spanish, and Business from Berry University and a master's in Business Analytics from University of Georgia. Today we’ll talk about SQL in the real world, data analyst vs data scientist, is…

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How he got into machine learning and Gen AI at Amazon, how we went from "enemies" to allies - Mehdi Noori - The Data Scientist Show #075 1:32:22

11M ago1:32:22

1:32:22

Mehdi Noori is an applied science manager at the Generative AI Innovation Center at Amazon. I used to work with Mehdi while we were at the Machine Learning Solutions Lab at AWS. So before Amazon, Mehdi was a data scientist working on marketing intelligence. Mehdi has a PhD from University of Central Florida in civil engineering and sustainability. …

1
Why she quit her finance job to become a farmer, exploring a different path from the modern life - Misty Arnold - The Data Scientist Show #074 1:10:28

12M ago1:10:28

1:10:28

My friend Misty moved to a farm in Portugal after her 20 years of career in finance. We talked about her experience moving from the busy corporate life to the farm life where she does a lot of manual work. Was it challenging, how does her finance work, and what is her advice to other people who also want to explore a different path outside of the m…

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Why he left his MLE job for product data science at Meta, data science at Uber, Linkedin, and Truecar - Pan Wu - The Data Scientist Show #073 1:13:01

12M ago1:13:01

1:13:01

Pan Wu is a senior manager of data science at Meta. We talked about why he moved from machine learning to product data science, projects he worked on at Uber, Linkedin, and Meta, and how he transitioned from IC to manager. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career. Pan’s LinkedIn: https://www.linked…

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Machine learning in cybersecurity, computer vision in sports, from business analyst to ML engineer - Betty Zhang - The Data Scientist Show #072 55:12

1y ago55:12

55:12

Betty Zhang is a data scientist currently working at a cloud security company, previously she was a data scientist at Amazon Web Services. Today we’ll talk about her computer vision projects in Sports, data science use cases in cyber security, from business major to data scientist, what’s her experience working in startups vs big tech companies. Su…

1
Stop abusing A/B testing, toxic experimentation culture, how to run A/B tests with rigor - Che Sharma - The Data Scientist Show #071 1:03:42

1y ago1:03:42

1:03:42

Che Sharma came back to discuss toxic behaviors in experimentation culture and provide actionable advice on how to handle those situations, how to have rigor and integrity when designing and analyzing A/B tests. Che was the 4th data scientist at Airbnb, later he joined Webflow as an early employee. In 2021 he founded Eppo, a next-gen A/B experiment…

1
Academia vs. Industry for Machine Learning, Research at Uber AI Labs, ML for Wind Farms - Jason Yosinski - The Data Scientist Show #070 1:16:09

1y ago1:16:09

1:16:09

Jason Yosinski was a founding member of Uber AI Labs. He is also a co-founder of WinscapeAI a company dedicated to using custom sensor networks and machine learning to increase the efficiency and sustainability of wind farms. Jason holds a PhD in computer science from Cornell University. We talked about his experience at Uber AI, his research in de…

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Ads forecasting at Netflix and Spotify, how to build your personal moat - Jeff Li - The Data Scientist Show #069 1:26:29

1y ago1:26:29

1:26:29

Jeff Li is a senior data scientist at Netflix, focusing on Ads forecast. Previously he was a data science manager at Spotify, worked on supply forecasting, demand forecasting, and data infrastructure. He studied business at the University of Southern California. We talked about Ads forecasting, career path as a manager vs IC, culture in Spotify vs …

1
A/B testing at Airbnb, building next-gen experimentation platform at Eppo - Che Sharma - The Data Scientist Show #068 1:14:15

1y ago1:14:15

1:14:15

Che Sharma was the 4th data scientist at Airbnb, later he joined Webflow as an early employee. In 2021 he founded Eppo, a next-gen A/B experimentation platform designed for modern data and product teams to run more trustworthy and advanced experiments. We talked about A/B testing best practices, A/B testing for ML models, and Che’s career journey. …

1
From data scientist@Meta to full-time YouTuber (500k+ sub), AI engineering, future of work - Tina Huang - The Data Scientist Show #067 1:54:52

1+ y ago1:54:52

1:54:52

We talked about self-learning, productivity, how Tina navigates her career change and how she thinks AI could change the future of work. Tina's YouTube: www.youtube.com/@TinaHuang1 Lonely Octopus: www.lonelyoctopus.com Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career. Tina Huang is a data scientist turned …

1
Making LLMs hallucinate less, how to diagnose ML models, from PM in Google AI to CEO of Galileo - Vikram Chatterji - The Data Scientist Show #066 1:26:50

1+ y ago1:26:50

1:26:50

Vikram is the co-founder of Galileo – an AI diagnostics and explainability platform used by data science teams building NLP, LLMs and Computer Vision models across the Fortune 500 and high growth startups. Prior to Galileo, Vikram led Product Management at Google AI, where his team built models for the Fortune 2000 across retail, financial services…

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Data Science "Mix Martial Arts", applied re-inforcement learning, scaling AI workloads using Ray - Max Pumperla - The Data Scientist Show #065 1:53:28

1+ y ago1:53:28

1:53:28

Max Pumperla designed his own career path in data science. He is a freelance software engineer at AnyScale, and also a data science professor. We talked about reinforcement learning, open source contributions, Ray for data scientists, and his view on the data scientists role. If you enjoy the show, subscribe to the channel and leave a 5-star review…

1
Uber's ML Systems (Uber Eats, Customer Support), Declarative Machine Learning - Piero Molino - The Data Scientist Show #064 1:50:05

1+ y ago1:50:05

1:50:05

Piero Molino was one of the founding members of Uber AI Labs. He worked on several deployed ML systems, including an NLP model for Customer Support, and the Uber Eats Recommender System. He is the author of Ludwig , an open source declarative deep learning framework. In 2021 he co-founded Predibase, the low-code declarative machine learning platfor…

1
Data science in transportation, the intersection of operations research and ML - Holger Teichgraeber - The Data Scientist Show #063 46:53

1+ y ago46:53

46:53

Holger Teichgraeber is a Data Science Manager at Archer Aviation. Previously, he worked at Convoy as a Research Scientist on their trucking marketplace, and at various companies in the energy space. Holger has a Bachelor's degree in Mechanical Engineering from Aachen, Germany, and a Masters and Ph.D. with research focus on machine learning and opti…

1
Tackling data quality issues, 5 pillars of data observability, from management consultant to CEO of Monte Carlo - Barr Moses -The Data Scientist Show #062 1:21:31

1+ y ago1:21:31

1:21:31

Barr Moses is a consultant turned CEO & Co-Founder of Monte Carlo, a data reliability company. She started her career as a management consultant at Bain & Company and a research assistant at the Statistics Department at Stanford University. Later, she became VP of Customer Operations at customer success company Gainsight, where she built the data a…

1
Is search dead? Google vs ChatGPT, from Google Search to enterprise search at Glean, machine learning in search, tech layoffs - Deedy Das - The Data Scientist Show #061 1:27:06

1+ y ago1:27:06

1:27:06

Deedy Das is a founding engineer at Glean, an enterprise search startup. Previously, he was a Tech Lead at Google Search working on query understanding and the sports product in New York, Tel Aviv, and Bangalore. Before that, he was an engineer at Facebook New York and graduated from Cornell University. Outside of work, Deedy writes on his blog. He…

1
The 100-hour work week of an self-taught machine learning researcher, how he got into Google Brain, why he started Omni - Jeremy Nixon - The Data Scientist Show #060 1:42:52

1+ y ago1:42:52

1:42:52

Jeremy Nixon is a machine learning researcher, software engineer, and startup founder. Previously he was a software engineer at Google Brain working on deep learning. Now, he is the co-founder and CEO of Omni, building an immersive information retrieval system for you and your team. He studied applied math at Harvard University. Today we’ll talk ab…

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The power of error analysis, tree models for search relevancy, what ChatGPT means for data scientists - Sergey Feldman - The Data Scientist Show #059 1:19:43

2y ago1:19:43

1:19:43

Sergey Feldman is the head of AI at Alongside, providing mental health support for students. He is also a Lead Applied Research Scientist at Allen Institute for AI, where he built an ML model that improved search relevancy for scientific literature. Sergey has a PhD in Electrical and Electronics Engineering from the University of Washington. Today …

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How to build data science muscle memory, DeepChecks -- an open source ML testing suite - Philip Tannor - The Data Scientist Show #058 1:08:51

2y ago1:08:51

1:08:51

Philip Tannor is the Co-Founder and CEO of Deepchecks, a python package to run checks for machine learning models. Previously, he was the head of data science group at the Isreal Defense Force. He has a master's degree from Tel Aviv University in engineering, his thesis was about a new algorithm that combines neural networks with gradient-boosting …

1
The Daliana Special: how did I got into data science, 5 things only experienced data scientists know, and why I started "The Data Scientist Show" - Daliana Liu #057 1:15:20

2y ago1:15:20

1:15:20

Who is Daliana? This is a conversation I had in 2021 with Harpreet Sahota. I talked about my unexpected journey to data science all the way back in high school, things I wish I could know earlier about my career, the projects I worked on, what is like to be a quote-and-unquote influencer on Linkedin, and more. If you want more content from me, I wr…

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How he carved his own path at Airbnb, from data engineer to CEO of Mage - Tommy Dang - the data scientist show #056 1:08:02

2y ago1:08:02

1:08:02

Tommy Dang is the Co-founder and CEO of Mage, a data ingestion and transformation pipeline for data engineers (https://github.com/mage-ai/mage-ai). Previously, he was working on data engineering and machine learning engineering at Airbnb. He has a bachelor degree of science in UC Berkeley studying economic, history, and sociology. Today we’ll talk …

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How to effectively test and debug machine learning models, from ML engineer@Apple to startup founder - Gabriel Bayomi - the data scientist show #055 1:24:01

2y ago1:24:01

1:24:01

Gabriel Bayomi is the Co-Founder at OpenLayer, a tool that tests & debugs machine learning models. OpenLayer was in the YCombinator’s batch in 2021, building tools for machine learning model testing. Previously he was a machine learning engineer at Apple working on Siri. He has a master degree in computer science from Carnegie Mellon. He is passion…

1
From Amazon research scientist to head of data product at Vestiaire Collective, why data science projects fail, how to be a good communicator - Alisa Kim - the data scientist show #054 2:12:17

2y ago2:12:17

2:12:17

Alisa Kim is the head of data product at Vestiaire Collective. Previously, she was a research scientist at Amazon Web Services. We used to work on the same team in Machine Learning Solutions Lab and Amazon Web Services. We have collaborated on projects before and previously she was a consultant and worked on analytics and investment banking. She ha…

1
The lessons from almost losing a million dollars for his company, how to build good data assets and get buy-in from the leadership - Mark Freeman - the data scientist show#053 1:32:31

2y ago1:32:31

1:32:31

Mark Freeman is a community health advocate turned data scientist His mission is to improve the well-being of people, especially among those marginalized. He is currently a senior data scientist at Humu where he builds data tools that drive behavior change to make work better. He has a master degree from the Stanford School of Medicine in clinical …

1
From deep learning architect at AWS to PM in AI product - Abhi Sharma - the data scientist show #052 1:30:45

2y ago1:30:45

1:30:45

Abhi Sharma started his career as a software engineer at Amazon Lab 126, building cloud services for Alexa. Later he transferred to Amazon Web Services as a deep learning architect. We used to work at the same team at machine learning solutions lab in AWS. Currently, he is a product manager, responsible for machine learning products like chatbot at…

1
What data scientists need to know about MLOps principles, from GPA 2.6 to Sr. MLOps Engineer@Intuit - Mikiko Bazeley - the data scientist show051 2:04:50

2y ago2:04:50

2:04:50

Mikiko Bazeley is a senior software engineer working on MLOps at Intuit. Previously, she worked as a growth hacker, data analyst in Finance, then become a data scientist, and later transitioned into machine learning. She has a bachelor degree in econ, biological anthropologie, did data science bootcamp at springboard. She is a tech writer for NVIDI…

1
Bayesian thinking in work and life, ad attribution models and A/B testing, machine learning@Foursquare - Max Sklar - the data scientist show050 1:30:25

2y ago1:30:25

1:30:25

Max Sklar is an independent engineer and researcher. Previously, he was an engineering and Innovation Labs Advisor at Foursquare after 7 years at the company as a machine learning engineer. Previously, he has worked on Ad Attribution, recommendation engine, ratings. He is the host of The Local Maximum podcast. Max studied CS from Yale, and holds a …

1
Why he quit a $500k+ machine learning job at Meta (Facebook): a candid review of his experience, mistakes, and ML best practices - Damien Benveniste - the data scientist show049 2:44:26

2y ago2:44:26

2:44:26

Damien Benveniste is a data scientist and software engineer. Previously, he was a machine learning tech leader and mentor. He has worked for almost ten years in different machine learning roles in different industries such as AdTech market research, e-commerce and health care. He has a Ph.D. in physics from Johns Hopkins University and now working …

1
Time series modeling in supply chain, how to master business communication, save the environment with data science - Sunishchal Dev - the data scientist show048 1:03:09

2y ago1:03:09

1:03:09

Sunishchal Dev is a lead data scientist at Booster. He's helping to decarbonize the transportation industry by optimizing last mile delivery of renewable fuels. Previously, he was a management consultant. On the side, he volunteers with Project Drawdown to model the most effective solutions to climate change. He is also a mentor of future data scie…

1
Product data science@Spotity, from management consultant to data scientist, salary negotiation, managing ADHD - Felicia Rutberg - the data scientist show047 2:12:57

2y ago2:12:57

2:12:57

Felicia Rutberg is a product strategy and analytics manager at Snap, previously she was a product data scientist at Spotify. She started her career as a management consultant at Accenture. She studied mathematics and cognitive psychology at the Vanderbilt University. Felicia reached out to me on Linkedin because she wanted to share how she became a…

1
Data science interviews trends, from being laid off to landing a data scientist job at Airbnb - Emma Ding - the data scientist show #046 1:19:35

2+ y ago1:19:35

1:19:35

Emma Ding is a data scientist turned career coach. Previously she was a data scientist and software engineer at airbnb. I first discovered her through a viral Medium blog called “how I got 4 data science offers and doubled my income 2 months after being laid off". Today, her mission is to help data scientists land their dream offers by being strate…

1
Using ML to tackle disruptive behaviors in gaming@Activision, data science in the metaverse, cyber security - Carly Taylor - the data scientist show #045 1:15:41

2+ y ago1:15:41

1:15:41

Carly Taylor is a senior manager at Activision, leading a team of machine learning engineers to tackle disruptive behaviors in the game ‘Call of Duty’. Previously, she has held various roles including machine learning engineer, data scientist, product analyst, Analytical Chemist. She has a master degree in computational chemistry from the universit…

1
From lawyer to senior data scientist at Amazon, data science in devices, HR, and real estate, how to 're-invent' yourself - Pauline Chow - the data scientist show #044 1:31:11

2+ y ago1:31:11

1:31:11

Pauline Chow is a data scientist and former legal attorney and active transportation advocate. She worked in banking, fashion and education start-ups, and Amazon. Currently, she is the data engineering lead for Thrackle, a blockchain research and modeling company. She has a master degree in computer science, Machine learning, from Georgia Institute…

1
From chemical engineer to data scientist@ExxonMobil, why he left to do data science freelancing, data career jumpstart, Avery Smith - the data scientist show#043 1:31:59

2+ y ago1:31:59

1:31:59

Avery Smith is a data science consultant and career coach at Data Career Jumpstar, and TA at MIT professional education. Previously, he was working on optimization and predictive analytics at ExxonMobil. We talked about his journey from from chemical engineer to data analytics, optimization problems in energy sector, why he left ExxonMobil, and his…

1
Applied machine learning research methods, human-machine team, AI strategies, trends in machine learning, how to earn trust - Vin Vashishta - The data scientist show #042 1:50:01

2+ y ago1:50:01

1:50:01

Vin Vashishta is a chief data officer and AI strategist at V Squared, a company he founded in 2012 that provides AI strategy, transformation, and data organizational build-out services. He teaches data professionals about strategy, communications, business acumen, and applied machine learning research methods. Vin has 130k+ followers on Linkedin ta…

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Retail store forecasting with video and audio, ML in high frequency trading, from tech to politics, ML in Web3 - Greg Tanaka, the data scientist show #041 1:30:41

2+ y ago1:30:41

1:30:41

Greg Tanaka is a computer scientist turned CEO of an AI company. He started coding when he was 6, studied computer science at UC Berkeley, and has built many machine learning applications, he is the the founder and CEO of Percolata developing ”Forecast as a Service”. He is also the council member of Palo Alto in California, and just finished his ca…

1
Weather forecasting with AI, Kaggle tips and tricks, dealing with missing data, deep learning with Jesper Dramsch, The Data Scientist Show #040 1:58:11

2+ y ago1:58:11

1:58:11

Jesper Dramsch is a scientist for machine learning at the European Centre for Medium-Range Weather forecasts. They have a phd in applied Machine Learning to Geoscience from Technical University of Denmark. They are a Kaggle Kernals Expert and TPU star, ranking at top 81/100k worldwide. We talked about weather forecasting, things they learned from K…

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