Super Data Science: ML & AI Podcast with Jon Krohn
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1.039 afleveringen, van nieuw naar oud
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588: Artificial General Intelligence is Not Nigh
1 juli 2022 · 6 min
In this episode, Jon kicks off a two-part series that sees him explore the popular topic of artificial general intelligence and why it might–or might not–be only a few years away. Listen in as Jon explains the several reasons why he doesn't believe that AGI is nigh. Lees meer
Additional materials: www.superdatascience.com/588
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587: Data Engineering for Data Scientists
28 juni 2022 · 1 uur 25 min
Mark Freeman, Senior Data Scientist at Humu, joins Jon Krohn to talk about all things data engineering and offers listeners some critical tips for their data science career journey – from what it takes to get promoted to his number one tip for getting hired at a fast-growing capital-backed startup. Lees meer
In this episode you will learn:
How Humu leverages data and machine learning to improve workplace behaviors [10:38]
What is data engineering? [14:21]
What it takes to get promoted into more senior data science roles [20:55]
The differences between junior, senior, and staff data scientists [30:21]
Mark’s top tools for data extraction, modeling, and pipeline engineering [37:08]
Mark’s number one tip for getting hired at a fast-growing venture capital-backed startup [53:10]
Why all data scientists should be interested in Web3 [1:11:53]
Additional materials: www.superdatascience.com/587
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586: Daily Habit #10: Limit Social Media Use
24 juni 2022 · 5 min
In this episode, Jon dives into the popular topic of social media and its impact on his productivity. Tune in to hear how minimizing the use of social media can positively impact your days, mental health and work. Lees meer
Additional materials: www.superdatascience.com/586
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585: PyMC for Bayesian Statistics in Python
21 juni 2022 · 1 uur 26 min
In this episode, Dr. Thomas Wiecki, Core Developer of the PyMC Library and CEO of PyMC Labs, joins Jon for a masterclass in Bayesian statistics. Tune in to hear about PyMC, and discover why Bayesian statistics can be more powerful and interpretable than any other data modeling approach. Lees meer
In this episode you will learn:
What Bayesian statistics is [7:30]
Why Bayesian statistics can be more powerful and interpretable than any other data modeling approach [17:20]
How PyMC was developed [20:41]
Commercial applications of Bayesian stats [43:07]
How to build a successful company culture [1:03:14]
What Thomas looks for when hiring [1:11:13]
Thomas’s top resources for learning Bayesian stats yourself [1:13:57]
Additional materials: www.superdatascience.com/585
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584: OpenAI Codex
17 juni 2022 · 4 min
In this episode, Jon reviews the remarkable natural language model Codex by OpenAI. Learn why it has amassed a waitlist and how you can leverage its practical applications in your work. Lees meer
Additional materials: www.superdatascience.com/584
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583: The State of Natural Language Processing
14 juni 2022 · 1 uur 15 min
In this episode, natural language processing (NLP) expert and Lead Data Scientist at CB Insights, Rongyao Huang, joins Jon Krohn to discuss NLP. Listen in for a thorough review of the field over the past decade and how the coming iron age of NLP will help us overcome the limitations of today's approaches. Lees meer
In this episode you will learn:
The evolution of NLP techniques over the past decade [4:14]
What's next in the coming iron age of NLP [35:33]
Rongyao’s Bauhaus-inspired model for effective data science [43:12]
Rongyao's long-term career pathfinding framework [51:50]
Rongyao’s top tips for staying sane while juggling career and family [1:00:30]
Additional materials: www.superdatascience.com/583
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582: Model Speed vs Model Accuracy
10 juni 2022 · 3 min
In this episode, Jon wraps up his three-part series on business value and machine learning. Listen in as he explains why starting with simple models is best, and why speed is likely more important to your users than accuracy. Lees meer
Additional materials: www.superdatascience.com/582
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581: Bayesian, Frequentist, and Fiducial Statistics in Data Science
7 juni 2022 · 1 uur 24 min
In this episode founding Editor-in-Chief of the Harvard Data Science Review and Professor of Statistics at Harvard University, Prof. Xiao-Li Meng, joins Jon Krohn to dive into data trade-offs that abound, and shares his view on the paradoxical downside of having lots of data. Lees meer
In this episode you will learn:
What the Harvard Data Science Review is and why Xiao-Li founded it [5:31]
The difference between data science and statistics [17:56]
The concept of 'data minding' [22:27]
The concept of 'data confession' [30:31]
Why there’s no “free lunch” with data, and the tricky trade-offs that abound [35:20]
The surprising paradoxical downside of having lots of data [43:23]
What the Bayesian, Frequentist, and Fiducial schools of statistics are, and when each of them is most useful in data science [55:47]
Additional materials: www.superdatascience.com/581
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580: Collecting Valuable Data
3 juni 2022 · 6 min
In this episode, Jon resumes his series on strategies for getting business value from machine learning. Part one saw him review several ways to identify a commercial problem before starting data collection or ML model development. And now, in part two, Jon digs into the data collection process. Lees meer
Additional materials: www.superdatascience.com/580
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579: Transforming Dentistry with A.I.
31 mei 2022 · 47 min
In this episode, the CEO of Overjet, Dr. Wardah Inam, joins Jon Krohn to discuss the classification and quantification of dental diagnoses with computer vision, her data labeling challenges, and tips for building a successful A.I. business. Lees meer
In this episode you will learn:
How Overjet leverages computer vision to qualify and quantify dental diagnoses [5:11]
How A.I. solutions reduce the under-diagnosis of common diseases like periodontal disease [8:15]
Overjet's particular ML challenges within the dental industry [15:45]
Wardah's experience in introducing A.I. to the dental industry [20:12]
Wardah's tips for building a successful A.I. business [23:34]
What she looks for in the data scientists and software engineers she hires [39:36]
Additional materials: www.superdatascience.com/579
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578: Identifying Commercial ML Problems
27 mei 2022 · 4 min
In this episode, Jon kicks off a new Five-Minute Friday series that explores the strategies for getting business value from machine learning. Part one sees him review several ways to identify a commercial problem before starting data collection or ML model development. Lees meer
Additional materials: www.superdatascience.com/578
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577: Scaling A.I. Startups Globally
24 mei 2022 · 55 min
In this episode, the former CEO and co-founder behind Onfido, an AI-based ID verification, joins Jon Krohn to discuss his path to start-up success. Tune in to hear valuable information from Husayn Kassai. Lees meer
In this episode you will learn:
How Husayn's start-up journey began [5:55]
How Husayn determined that his challenge could be solved by machine vision [11:18]
Onfido's initial seed stages [18:23]
Launching and scaling your start-up in the U.S. market [22:00]
The most important component in building the best product [26:30]
Husayn's latest start-up [28:52]
Husayn’s startup project decision-making process [37:49]
Choosing your co-founding team [44:04]
Additional materials: www.superdatascience.com/577
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576: Tech Startup Dramas
20 mei 2022 · 3 min
Hollywood has officially fallen for the drama of tech startups! Tune in to hear Jon Krohn review the small-screen adaptations of WeWork (WeCrashed), Uber (Super Pumped), and Theranos (The Dropout). Lees meer
Additional materials: www.superdatascience.com/576
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575: Optimizing Computer Hardware with Deep Learning
17 mei 2022 · 1 uur 24 min
In this episode, the Director of Architecture at NVIDIA, Dr. Magnus Ekman, joins Jon Krohn to discuss how machine learning, including deep learning, can optimize computer hardware design. The pair also review his exceptional book 'Learning Deep Learning.' Lees meer
In this episode you will learn:
What hardware architects do [10:15]
How ML can optimize hardware speed [ 13:19]
Magnus’s Deep Learning Book [21:14]
Is understanding how ML models work important? [36:16]
Algorithms inspired by biological evolution [41:25]
How artificial general intelligence won’t be obtained by increasing model parameters alone [51:24]
Why there will always be a place for CNNs and RNNs [54:51]
How people can "transition" realistically into ML [1:09:15]
Additional materials: www.superdatascience.com/575
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574: Music for Deep Work
13 mei 2022 · 4 min
In this episode, Jon shares how the right music can power your productivity. It's no secret that he's a big fan of 'deep work,' but this week, he opens up about the artists, sites, and playlists that propel his productivity to new levels. Lees meer
Additional materials: www.superdatascience.com/574
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573: Automating ML Model Deployment
10 mei 2022 · 1 uur 7 min
In this episode, co-founder and CEO of Linea, Dr. Doris Xin, joins Jon Krohn to discuss how automating ML model deployment delivers groundbreaking change to data science productivity, and shares what it's like being the CEO of an exciting, early-stage tech start-up. Lees meer
In this episode you will learn:
How Linea reduces ML model deployment down to a couple of lines of Python code [5:14]
Linea use cases [11:30]
How DAGs can 10x production workflow efficiency [22:12]
ML model graphlets and reducing wasted computation [24:14]
What future Doris envisions for autoML [35:23]
Doris’s day-to-day life as a CEO of an early-stage start-up [42:43]
What Doris looks for in the engineers and data scientists that she hires [52:21]
The future of Data Science and how to prepare best for it [53:58]
Additional materials: www.superdatascience.com/573
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572: Daily Habit #9: Avoiding Messages Until a Set Time Each Day
6 mei 2022 · 3 min
In this episode, Jon shares his habit of blocking out two hours in his mornings that are free from email and social media distractions. Tune in to learn how this habit helps him deeply focus on his most delightful tasks of the day. Lees meer
Additional materials: www.superdatascience.com/572
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571: Collaborative, No-Code Machine Learning
3 mei 2022 · 58 min
Einblick co-founder and associate professor at MIT, Tim Kraska, joins Jon Krohn to discuss no-code collaboration tools for data science and uncovers the clever database and machine learning tricks under the hood of the visual data computing platform. Lees meer
In this episode you will learn:
The inspiration behind Einblick [2:45]
Einblick's progressive approximation engine [6:43]
How no-code tools impact productivity [17:18]
The critical steps to become more data-driven as an organization [24:30]
How research universities like MIT support high-risk, long-term research [38:37]
How ML applied to databases enables them to be faster and more efficient [42:03]
How real-time collaboration environments like Google Docs are likely to become more widespread for data science tasks [ 49:24]
Additional materials: www.superdatascience.com/571
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570: DALL-E 2: Stunning Photorealism from Any Text Prompt
29 april 2022 · 6 min
In this episode, Jon is back with another A.I. model breakthrough! He updates listeners on OpenAI's outstanding DALL-E 2 model. The new natural language processing model churns out staggering visual examples of whatever text your mind can dream up. Lees meer
Additional materials: www.superdatascience.com/570
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569: A.I. For Crushing Humans at Poker and Board Games
26 april 2022 · 45 min
Research Scientist at Meta AI, Dr. Noam Brown, joins Jon Krohn to discuss his award-winning no-limit poker-playing algorithms and the real-world implications of his game-playing A.I. breakthroughs. Lees meer
In this episode you will learn:
What Meta A.I. is and how it fits into Meta, the company [3:01]
Noam's award-winning no-limit poker-playing algorithms, Libratus and Pluribus algorithms. [4:33]
What game theory is and how does Noam integrate it into his models? [8:45]
The real-world implications of Noam’s game-playing A.I. breakthroughs [25:24]
Why Noam elected to become a researcher at a big tech firm instead of in academia [27:06]
The main barriers to getting AI game theory techniques beyond games to self-driving cars [30:16]
Recommendations for people who want to break into poker AI [37:45]
Additional materials: www.superdatascience.com/569
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568: PaLM: Google's Breakthrough Natural Language Model
22 april 2022 · 5 min
In this episode, Jon updates listeners on one of the industry's biggest breakthroughs to date –Google's new natural language processing model, PaLM. The key innovation with PaLM is scaling up Google's Pathways modeling approach to half a trillion parameters — many-fold more parameters than had previously been trained using this approach. Lees meer
Additional materials: www.superdatascience.com/568
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567: Open-Access Publishing
19 april 2022 · 1 uur 18 min
In this episode, the MIT Press Director and Publisher, Dr. Amy Brand, joins Jon Krohn to discuss open-access publishing in data science and how to address the inequalities that exist for women and minorities in STEM. Lees meer
In this episode you will learn:
What it’s like to run the prestigious MIT Press [4:34]
How open access makes scholarly work more impactful [6:34]
How publishing outstanding STEM books for broader audiences, including for children, can help address STEM biases [19:28]
Amy's award-winning documentary Picture A Scientist [25:28]
What it's like to executive produce a documentary [37:24]
What can be done to change STEM to make it more welcoming to minorities [48:44]
The best open-source model going forward [58:26]
What fascinates Amy about natural language processing [1:01:30]
How author metadata in standardized taxonomies can help authors receive the credit they deserve [1:04:50]
Additional materials: www.superdatascience.com/567
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566: The Best Time to Plant a Tree
15 april 2022 · 4 min
In this episode, Jon reflects on the Chinese proverb: "The best time to plant a tree was 20 years ago. The second best time is now." He also challenges listeners to reflect on their long-term goals that have gone unfulfilled. Lees meer
Additional materials: www.superdatascience.com/566
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565: AGI: The Apocalypse Machine
12 april 2022 · 2 uur 5 min
In this episode, Jeremie Harris dives into the stirring topic of AI Safety and the existential risks that Artificial General Intelligence poses to humankind. Lees meer
In this episode you will learn:
Why mentorship is crucial in a data science career development [15:45]
Canadian vs American start-up ecosystems [24:18]
What is Artificial General Intelligence (AGI)? [38:50]
How Artificial Superintelligence could destroy the world [1:04:00]
How AGI could prove to be a panacea for humankind and life on the planet. [1:27:31]
How to become an AI safety expert [1:30:07]
Jeremie's day-to-day work life at Mercurius [1:35:39]
Additional materials: www.superdatascience.com/565
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564: Clem Delangue on Hugging Face and Transformers
8 april 2022 · 19 min
In this episode, Jon speaks with the CEO of Hugging Face, Clem Delangue, about open-source machine learning and transformer architectures, while attending the ScaleUp:AI Conference in New York. Lees meer
Additional materials: www.superdatascience.com/564
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563: How to Rock at Data Science — with Tina Huang
5 april 2022 · 1 uur 5 min
In this episode, superstar data science YouTuber Tina Huang joins us to discuss what it's like to work at one of the world's largest tech companies, her strategies for efficient learning, and how best to prepare for a career in data science from scratch. Lees meer
In this episode you will learn:
The key areas to focus on when getting started in data science [6:01]
Tina’s five steps to consistently doing anything [11:55]
Tina's day-to-day life as a data scientist at one of the world’s largest tech companies [20:02]
How Tina's computer science background helps her work [26:20]
Traditional banking culture vs big tech [32:12]
How Tina's background in pharmacology impacts her work in data science [36:15]
The software languages that Tina uses daily in her work [45:30]
How Tina’s SQL course practically prepares you for data science interviews [47:24]
Additional materials: www.superdatascience.com/563
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562: Daily Habit #8: Math or Computer Science Exercise
1 april 2022 · 6 min
In this episode, Jon shares his daily technical exercise, which is part of an extensive habit tracking system that allows him to achieve more, create more structure within his day, and cut out bad habits. By completing mathematics, computer science, or programming exercise daily, Jon is able to hone his technical skills in a limitlessly broad field and open new professional opportunities in the long run. Lees meer
Additional materials: www.superdatascience.com/562
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561: Engineering Data APIs
29 maart 2022 · 54 min
In this episode, Ribbon Health CTO Nate Fox joins us to discuss the ins and outs of APIs. Tune in to hear him share how he and his team build out APIs from scratch; how they ensure the uptime and reliability of APIs and how they leverage machine learning to improve the quality of healthcare delivery and maximize their social impact. Lees meer
In this episode you will learn:
What are APIs? [13:20]
How Ribbon Health’s data API leverages ML models to improve the quality of healthcare delivery [16:08]
How to design a data API from scratch [20:00]
How to ensure the uptime and reliability of APIs [25:28]
How Ribbon uses knowledge graphs, manually labeled data samples, and an XGBoost model with hundreds of inputs to assign a confidence score [27:14]
Nate’s favorite tool for easily scaling up the impact of data science [37:40]
What is Nate’s day-to-day like? [34:34]
The qualities Nate looks for when hiring data scientists [39:50]
How scientists and engineers can make a big social impact in health technology [42:50]
Additional materials: www.superdatascience.com/561
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560: Daily Habit #7: Read Two Pages
25 maart 2022 · 4 min
In this episode, Jon shares his daily habit of reading two pages and explains how it has transformed his productivity. Lees meer
Additional materials: www.superdatascience.com/560
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559: GPT-3 for Natural Language Processing
22 maart 2022 · 1 uur 28 min
Natural language processing expert and PhD student Melanie Subbiah sits down with Jon Krohn to discuss GPT-3, its strengths and weaknesses, and the future of NLP. Lees meer
In this episode you will learn:
What is GPT-3? [6:24]
The strengths and weaknesses of GPT-3 [14:38]
What is autoregression? [18:03]
GPT-3's new fine-tuning abilities [20:02]
Bias issues with GPT-3 [22:47]
The future of natural language processing models [27:54]
How Melanie ended up working at OpenAI [38:13]
Melanie’s self-study process [42:19]
Melanie's work on OpenAI API [45:45]
How to address the climate change and bias issues that cloud discussions of large natural language models [49:40]
Why Melanie chose to do a PhD at Columbia University [1:01:17]
The machine learning tools Melanie’s most excited about [1:08:09]
Additional materials: www.superdatascience.com/559
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558: Jon's Answers to Questions on Machine Learning
18 maart 2022 · 7 min
In this episode, Jon shares the key topics he recently discussed with the Open Data Science Conference. From the approach behind his extensive machine learning and deep learning content library to revealing the key tools and software he uses daily, get to know Jon and his process a little better. Lees meer
Additional materials: www.superdatascience.com/558
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557: Effective Pandas
15 maart 2022 · 1 uur 31 min
Pandas expert Matt Harrison sits down with Jon Krohn to discuss tips, tricks and best practices for Pandas learning and mastery. Lees meer
In this episode you will learn:
Pros and cons of self-publishing and working with a publisher [5:05]
Matt's six tips for using Pandas [17:13]
The best way for corporate teams to level up their skills [40:04]
How to learn anything effectively [47:14]
Matt’s tricks for staying motivated [50:00]
Matt’s recommendations for using Git and the Unix command line [1:00:14]
Matt’s recommended software libraries for working with tabular data [1:19:45]
Additional materials: www.superdatascience.com/557
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556: Jon's Machine Learning Courses
11 maart 2022 · 7 min
Discover Jon’s extensive library of machine learning content and learn why Jon's Machine Learning House forms the knowledge structure of an outstanding data scientist or ML engineer. Lees meer
Additional materials: www.superdatascience.com/556
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555: Sports Analytics and 66 Days of Data with Ken Jee
8 maart 2022 · 1 uur 14 min
Data scientist and Youtuber Ken Jee joins Jon Krohn for a deep dive into the world of sports analytics and brings us behind the makings of his large, online data science community. Lees meer
In this episode you will learn:
The inspiration behind Ken’s YouTube videos [18:03]
Ken’s four steps for getting started in data science [24:18]
How sports analytics is transforming sports like golf [33:32]
Ken’s favorite tools for software scripting as well as for production code development [41:10]
How the #66DaysofData hashtag can supercharge your capacity as a data scientist [42:51]
Ken’s data science podcast Ken’s Nearest Neighbors [54:11]
LinkedIn Q&A [1:00:32]
Additional materials: www.superdatascience.com/555
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554: Jon's Deep Learning Courses
4 maart 2022 · 5 min
In this episode, Jon shares where you can find his extensive deep learning video content and courses. Tune in to learn more about his deep learning curriculum and where you can learn for free. Lees meer
Additional materials: www.superdatascience.com/554
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553: The Statistics and Machine Learning Quests of Dr. Josh Starmer
1 maart 2022 · 1 uur 49 min
In this episode, Dr. Josh Starmer, the creative, musical genius behind the wildly popular YouTube channel StatQuest joins the podcast to discuss statistics, learning and communication secrets, and how he grew his YouTube channel to over 650,000 subscribers. Lees meer
In this episode you will learn:
The inspiration behind Josh’s YouTube channel [18:39]
Josh's simple approach to learning something new [34:25]
Josh's secret tool for creating YouTube videos with over a million views [51:01]
The StatQuest Illustrated Guide to Machine Learning [53:34]
How and when Josh uses R vs. Python [1:07:53]
How to cluster any types of data using the R randomForest package [1:11:24]
Why Josh left his academic career [1:14:24]
The two stats concepts Josh thinks everyone should know [1:38:50]
Additional materials: www.superdatascience.com/553
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552: The Most Popular SuperDataScience Episodes of 2021
25 februari 2022 · 5 min
In this episode of Five-Minute Friday, Jon recaps the most popular SuperDataScience podcast episodes from 2021. See what you might have missed and catch up today! Lees meer
Additional materials: www.superdatascience.com/552
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551: Deep Reinforcement Learning — with Wah Loon Keng
22 februari 2022 · 1 uur 21 min
In this episode, gifted author and software engineer Wah Loon Keng joins the podcast to dive deep into reinforcement learning. From its history to limitations, modern industrial applications, and future developments– there's no better expert to learn from if you want to know more about this complex topic. Lees meer
In this episode you will learn:
What is reinforcement learning? [4:50]
Deep reinforcement learning vs reinforcement learning [13:17]
A timeline of reinforcement learning breakthroughs [16:17]
The limitations of deep RL today [39:53]
Deep RL applications [53:10]
Keng's open-source SLM-Lab framework [57:51]
Keng’s responsibilities as an AI engineer [1:02:17]
What is the future of RL? [1:08:05]
Additional materials: www.superdatascience.com/551
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550: Daily Habit #6: Write Morning Pages
18 februari 2022 · 4 min
Jon is back with another Five-Minute Friday habit-tracking episode! Listen in as he explains how writing morning pages has helped his data science work flourish with creativity. Inspired by Julia Cameron's book The Artist's Way, he details his morning pages routine and how it kickstarted a new chapter in his career. Lees meer
Additional materials: www.superdatascience.com/550
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549: Engineering Natural Language Models — with Lauren Zhu
15 februari 2022 · 1 uur 6 min
In this episode, Glean software engineer and Stanford graduate Lauren Zhu joins us to discuss her role at a fast-growing startup, working on natural language processing projects, and how she remains inspired by pursuing her side passions. Lees meer
In this episode you will learn:
Lauren's experience as a course assistant [5:53]
Stanford's Hacking the Coronavirus Course [11:53]
How do you empower minority groups in AI [19:45]
Lauren on zero-shot multilingual neural machine translation [23:25]
Lauren's work at Glean [27:58]
The Contrary Talent Network [34:30]
The tools Lauren uses at Glean [43:39]
The most important skills to possess as a data scientist [47:29]
Additional materials: www.superdatascience.com/549
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548: Daily Habit #5: Meditate
11 februari 2022 · 4 min
Our Five-Minute Friday series on habit tracking returns with a look at one of Jon's daily mindfulness habits–meditation. Learn how to keep this habit going for the long run and discover which tools help Jon stay on track. Lees meer
Additional materials: www.superdatascience.com/548
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547: How Genes Influence Behavior — with Prof. Jonathan Flint
8 februari 2022 · 1 uur 16 min
In this episode, Dr. Jonathan Flint, Professor of Psychiatry and Biobehavioral Sciences at the University of California Los Angeles, joins us to discuss how he uses data science and machine learning to explore the link between genetics and depression. Lees meer
In this episode you will learn:
Johnathan's background [2:53]
How we know that genetics plays a role in complex human behaviors including psychiatric disorders like anxiety, depression, and schizophrenia [8:00]
The role that data science and ML play in modern genetics research [15:08]
About Jonathan book "How Genes Influence Behavior" [19:45]
The day-to-day life of a world-class medical sciences researcher [32:24]
The open-source software libraries that Jonathan uses for data modeling [40:33]
A single question you can ask to prevent a severely depressed person from committing suicide [52:00]
LinkedIn Q&A [54:41]
The future of psychiatric treatments [1:05:35]
Additional materials: www.superdatascience.com/547
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546: Daily Habit #4: Alternate-Nostril Breathing
4 februari 2022 · 5 min
Our Five-Minute Friday habit-tracking series continues! Learn more about alternate-nostril breathing–the mindfulness technique that is scientifically proven to lower blood pressure and regulate the stress response. Lees meer
Additional materials: www.superdatascience.com/546
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545: Scaling Data-Intensive Real-Time Applications — with Matthew Russell
1 februari 2022 · 1 uur 16 min
Data scientist and entrepreneur Matthew Russell joins Jon Krohn to discuss the intersection of machine learning and fitness and dive deep into the strategies he and his team at Strongest AI use to scale data-intensive real-time applications. Lees meer
In this episode you will learn:
About Strongest's event platform and iOS app [6:06]
How Strongest scaled to serve million [8:14]
Strongest's unique approach to building a fitness app [17:50]
How to rapidly test ML models for deployment [29:01]
The three critical traits Matthew looks for in anyone he hires [33:11]
Mining the Social Web [41:14]
The values instilled in Matthew by pursuing a military education [53:30]
The key skills Matthew wishes he’d learned earlier in his career [1:03:51]
Additional materials: www.superdatascience.com/545
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544: Daily Habit #3: Make Your Bed
28 januari 2022 · 3 min
Our habit-tracking series continues with a look at how making your bed can jumpstart your mornings, prevent you from taking part in negative habits and help you become happier. Lees meer
Additional materials: www.superdatascience.com/544
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543: Sparking A.I. Innovation — with Nicole Büttner
25 januari 2022 · 55 min
Nicole Büttner (Founder and CEO of Merantix Labs) joins the podcast to discuss driving A.I. innovation, automation, and transformation and building the ideal A.I. start-up founding team. Lees meer
In this episode you will learn:
The three factors that spark A.I. innovation [12:48]
How to make great use of the unlabelled, unbalanced data sets [18:54]
How to engineer reusable data and software components [25:09]
Merantix's A.I. Canvas framework for successful innovation [29:59]
How to be a part of Merantix's program as a founder [45:23]
Additional materials: www.superdatascience.com/543
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542: Continuous Calendar for 2022
21 januari 2022 · 3 min
Revisit the much-underrated continuous calendar and get started with this uncommon planning method thanks to Jon's 2022 template. Lees meer
Additional materials: www.superdatascience.com/542
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541: Data Observability — with Dr. Kevin Hu
18 januari 2022 · 1 uur 8 min
In this episode, Kevin Hu joins the podcast to talk about founding and growing the data observability startup, Metaplane. Listen in to hear about his time in academia at MIT, his experience with Y Combinator, and his current routine as a technical founder. Lees meer
In this episode you will learn:
What is data observability? [4:35]
•How to identify data quality issues? [8:56]
Kevin's PhD research on automating data science systems using machine learning [16:18]
Why Kevin launched Metaplane [28:50]
The pros and cons of an academic career relative to the start-up hustle [31:57]
Kevin's experience in Y-Combinator accelerator [39:50]
The software tools he uses daily as a CEO [50:54]
What Kevin looks for in data engineer hires [56:13]
Additional materials: www.superdatascience.com/541
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540: Daily Habit #2: Start the Day with a Glass of Water
14 januari 2022 · 4 min
In this episode, Jon opens up about starting his day with a glass of water – his first morning habit that sets his day off on a healthy and successful note. Lees meer
Additional materials: www.superdatascience.com/540
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539: Interpretable Machine Learning — with Serg Masís
11 januari 2022 · 1 uur 2 min
In this episode, Serg Masís joins the podcast to share his in-depth technical knowledge of Interpretable Machine Learning. Together they discuss why this field matters, how it’s evolving, and so much more. Lees meer
In this episode you will learn:
What is interpretable machine learning? [8:41]
The social and financial ramifications of interpreting models incorrectly [10:23]
The challenges involved in interpretable ML [16:00]
The most important interpretable ML concepts to master [19:54]
The future of Interpretable ML [32:41]
What it’s like to be a Climate & Agronomic Data Scientist [42:28]
Serg’s day-to-day tools [49:05]
Serg's productivity tips [50:25]
Why Serg pursued a Master's in Data Science [52:25]
Additional materials: www.superdatascience.com/539