We talked about:

Aaisha’s background How homeschooling affects self-study Deciding on what to learn about Establishing whether a resource is good How Aaisha focuses on learning Deciding on what kind of project to build Find research materials Aaisha’s experience with the Data Talks Club ML Zoomcamp ML Zoomcamp projects Aaisha’s interest in bioinformatics Keeping motivated with deadlines Notes and time-tracking tools Drawbacks to self-studying Aaisha’s interest in machine learning Aaisha’s least favorable part of ML Zoomcamp Helping people as a way to learn Using ChatGPT as a “study group” Is it possible to use self-studying to learn high-level topics Switching topics to avoid burnout Aaisha’s resource recommendations

Links:

LinkedIn: https://www.linkedin.com/in/aaisha-muhammad/ Twitter: https://twitter.com/ZealousMushroom Github: https://github.com/AaishaMuhammad Website: http://www.aaishamuhammad.co.za/

Free data engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp

Join DataTalks.Club: https://datatalks.club/slack.html

Our events: https://datatalks.club/events.html

The concept of literate programming, or the idea of programming in a document, was first introduced in 1984 by Donald Knuth. And as of today, notebooks are now the defacto tool for doing data science work. So as the data tooling space continues to evolve at breakneck speed, what are the possible directions the data science notebook can take?  In this episode of DataFramed, we talk with Dr. Jodie Burchell, Data Science Developer Advocate at JetBrains, to find out how data science notebooks evolved into what they are today, what her predictions are for the future of notebooks and data science, and how generative AI will impact data teams going forward.  Jodie completed a Ph.D. in clinical psychology and a postdoc in biostatistics before transitioning into data science. She has since worked for 7 years as a data scientist, developing products ranging from recommendation systems to audience profiling. She is also a prolific content creator in the data science community. Throughout the episode, Jodie discusses the evolution of data science notebooks over the last few years, noting how the move to remote-based notebooks has allowed for the seamless development of more complex models straight from the notebook environment. Jodie and Adel’s conversation also covers tooling challenges that have led to modern IDEs and notebooks, with Jodie highlighting the importance of good database tooling and visibility. She shares how data science notebooks have evolved to help democratize data for the wider organization, the tradeoffs between engineering-led approaches to tooling compared to data science approaches, what generative AI means for the data profession, her predictions for data science, and more. Tune in to this episode to learn more about the evolution of data science notebooks and the challenges and opportunities facing the data science community today. Links to mentioned in the show: DataCamp Workspace: An-in Browser Notebook IDEJetBrains' DataloreNick Cave on ChatGPT song lyrics imitating his styleGitHub Copilot  More on the topic: The Past, Present, And Future of The Data Science NotebookHow to Use Jupyter Notebooks: The Ultimate Guide

In this episode, Conor and Bryce chat about ChapGPT, the NVIDIA GTC 2023 conference and intelligence augmentation. Link to Episode 122 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)Twitter ADSP: The PodcastConor HoekstraBryce Adelstein LelbachShow Notes Date Recorded: 2023-03-21 Date Released: 2023-03-24 RUN FOR THE FUN OF IT! Running PodcastChatGPTDeep Blue vs KasparovGTC 2023 ConferenceConor & Bryce Chat About C++ Algorithms + Combinators (YouTube Stream)The NVIDIA AI Podcast - Glean Founders Talk AI-Powered Enterprise Search on NVIDIA Podcast - Ep. 190ADSP Episode 97: C++ vs Carbon vs Circle vs CppFront with Sean BaxterClang-TidyGPTDuckOxide & Friends PodcastNVIDIA GTC 2023 - C++ Standard Parallelism - Bryce LelbachNVIDIA GTC 2023 - Defining the Quantum-Accelerated Supercomputer - Timothy CostaAPL Seeds 2023 Conferencecode_report GTC 2023 Trip ReportIntro Song Info Miss You by Sarah Jansen https://soundcloud.com/sarahjansenmusic Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: http://bit.ly/l-miss-you Music promoted by Audio Library https://youtu.be/iYYxnasvfx8

Let's face it; data analytics can sometimes be a real pain in the spreadsheet.

You spend hours analysing data, writing code, and crafting reports, only to have one mystery bug stop your work from progressing.

I'll show you my 10-step guide for solving ANY data problem.

🌟 Join the data project club!

“25OFF” to get 25% off (first 50 members).

📊 Come to my next free “How to Land Your First Data Job” training

🏫 Check out my 10-week data analytics bootcamp

Timestamps:

(2:19) - Step 1: Copy your error message

(3:29) - Step 2: Use Google, Stack Overflow & ChatGPT

(5:28) - Step 3: Double check everything!

(6:58) - Step 4: Rubber Duck it!

(7:58) - Step 5: Read manual & documentation

(9:45) - Step 6: Walk away, just walk.

(14:19) - Step 7: Turn it off!

(12:52) - Step 8: Screenshot & screenrecord it

(15:18) -Step 10: Say thank you!

Connect with Avery:

📺 Subscribe on YouTube

🎙Listen to My Podcast

👔 Connect with me on LinkedIn

📸 Instagram

🎵 TikTok

Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

Send us a text Part 2 : Vinca LaFleur of West Wing Writers. As a writer the West Wing is the dream job. Learn how to embody "It all starts with the ideas and content" - Vinca

00:30 Tricks and tips to a presentation04:14 Speech gotchas07:29 Knowing when you have a hit09:39 How much is delivery11:53 GOAT speechBobby Kennedy in Indianapolis: https://www.youtube.com/watch?v=A2kWIa8wSC014:49 Gettysburg case study17:11 ChatGPT?20:26 Mental cups26:55 West Wing Writers31:51 Chief34:30 Book recommended mostMade to Stick: https://www.amazon.com/Made-Stick-Ideas-SurviveOthers/dp/1400064287 LinkedIn: linkedin.com/in/vinca-lafleur-28909315 Website: https://www.westwingwriters.com/ Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Data leaders play a critical role in driving innovation and growth in various industries, and this is particularly true in highly regulated industries such as aviation. In such industries, data leaders face unique challenges and opportunities, working to balance the need for innovation with strict regulatory requirements. This week’s guest is Derek Cedillo, who has 27 years of experience working in Data and Analytics at GE Aerospace. Derek currently works as a Senior Manager for GE Aerospace’s Remote Monitoring and Diagnostics division, having previously worked as the Senior Director for Data Science and Analytics. In the episode, Derek shares the key components to successfully managing a Data Science program within a large and highly regulated organization. He also shares his insights on how to standardize data science planning across various projects and how to get a Data Scientists to think and work in an agile manner. We hear about ideal data team structures, how to approach hiring, and what skills to look for in new hires.  The conversation also touches on what responsibility Data Leaders have within organizations, championing data-driven decisions and strategy, as well as the complexity Data Leaders face in highly regulated industries. When it comes to solving problems that provide value for the business, engagement and transparency are key aspects. Derek shares how to ensure that expectations are met through clear and frank conversations with executives that try to align expectations between management and Data Science teams. 

Finally, you'll learn about validation frameworks, best practices for teams in less regulated industries, what trends to look out for in 2023 and how ChatGPT is changing how executives define their expectations from Data Science teams. 

Links to mentioned in the show: The Checklist Manifesto by Atul Gawande Team of Teams by General Stanley McChrystal The Harvard Data Science Review Podcast

Relevant Links from DataCamp: Article: Storytelling for More Impactful Data Science Course: Data Communication Concepts Course: Data-Driven Decision-Making for Business

Send us a text We are recording new episodes for the remainder of the year! This topic seemed very timely with ChatGPT in the news - co-authoring a book with AI. 

Part 2 : A different take on technology. Iain Thomas, Group Creative Director, Virtue talks about the book he wrote with AI. Yes with a non-human called "What Makes Us Human". Why do we suffer? What is the meaning of life? Oh boy...

00:00 Writing a book with AI02:56 Has AI provided the meaning of life?07:37 Can AI sell too?07:56 Do we lose our humanity with AI?12:40 The concern : bias14:15 Buy the book. Here's why.Linkedin: https://www.linkedin.com/in/iain-s-thomas-7838445/ Website: https://product.soundstrue.com/what-makes-us-human/

Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text Part 2 : Marketing, The Power of Scarcity with Dr. Mindy Weinstein, Founder and CEO of Market MindShift, Marketing instructor for Grand Canyon University, Columbia Business School, and Wharton. "Trying to reach humans" through digital marketing. 28:19 Consumer advice02:40 Companies using scarcity07:07 Black Friday, Cyber Monday08:03 Technology in marketing11:50 AI, ChatGPT in academics17:40 Best marketer of all timeLinkedIn: linkedin.com/in/mindydweinstein Website: https://www.persuasioninbusiness.com/book, https://www.marketmindshift.com/ Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Host, Al Martin Linkedin Producer, Katherine Mayne Linkedin Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

We talked about

Chris’s background Switching careers multiple times Freedom at companies Chris’s role as an internal consultant Chris’s sabbatical ChatGPT How being a generalist helped Chris in his career The cons of being a generalist and the importance of T-shaped expertise The importance of learning things you’re interested in Tips to enjoy learning new things Recruiting generalists The job market for generalists vs for specialists Narrowing down your interests Chris’s book recommendations

Links:

Lex Fridman: science, philosophy, media, AI (especially earlier episodes): https://www.youtube.com/lexfridman Andrej Karpathy, former Senior Director of AI at Tesla, who's now focused on teaching and sharing his knowledge: https://www.youtube.com/@AndrejKarpathy Beautifully done videos on engineering of things in the real world: https://www.youtube.com/@RealEngineering Chris' website: https://szafranek.net/ Zalando Tech Radar: https://opensource.zalando.com/tech-radar/ Modal Labs, new way of deploying code to the cloud, also useful for testing ML code on GPUs: https://modal.com Excellent Twitter account to follow to learn more about prompt engineering for ChatGPT: https://twitter.com/goodside Image prompts for Midjourney: https://twitter.com/GuyP Machine Learning Workflows in Production - Krzysztof Szafanek: https://www.youtube.com/watch?v=CO4Gqd95j6k From Data Science to DataOps: https://datatalks.club/podcast/s11e03-from-data-science-to-dataops.html

Free data engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp

Join DataTalks.Club: https://datatalks.club/slack.html

Our events: https://datatalks.club/events.html

In this episode, Conor and Bryce talk to Barry Revzin about Rust, Val, Carbon, ChatGPT, error propagation in C++26 and more! Link to Episode 114 on Website

Twitter ADSP: The PodcastConor HoekstraBryce Adelstein LelbachAbout the Guest Barry Revzin is a senior C++ developer at Jump Trading in Chicago. After programming for many years, he got really into the nuances and intricacies of C++ by being unreasonably active on StackOverflow (where he is the top contributor in C++14, C++17, and C++20). He is also a C++ committee member, having written dozens of papers for C++20 and C++23.

Show Notes

Date Recorded: 2023-01-15 Date Released: 2023-01-27 ADSP Episode 113: The C++26 Pipeline Operator with Barry Revzin!P2011 A pipeline-rewrite operatorP2672 Exploring the Design Space for a Pipeline OperatorRust Programming LanguageRust TraitsSwift ProtocolsRust std::iter::IteratorRust The Cargo BookVal Programming LanguageCarbon Programming LanguageCarbon Operator PrecendenceEpochs: a backward-compatible language evolution mechanismADSP Episode 97: C++ vs Carbon vs Circle vs CppFront with Sean BaxterCircle CompilerChatGPT: Optimizing Language Models for DialogueGPTDuckOxide and Friends PodcastBryan Cantrill on TwitterBryan Cantrill: The Summer of RUSTOn The Metal PodcastOxide and Friends: NeXT, Objective-C, and contrasting historiesElixir DocsRust DocsP2561 An error propagation operatorSy Brand’s tl::expectedP0798R4 - Monadic operations for std::optionalC++23 std::expectedChicago C++ Meetup: Defining Range Formatting

Send us a text ChatGPT and great businesses leveraging the capability...  Meet Sam Tucker the CEO of VegCatalyst. Vegan businesses and animal rights, Sam is living his values. 03:12 Meet Sam Tucker08:35 Investor Pitch11:33 GTM & Use Case14:21 The Technology16:11 Secret Sauce 16:48 ChatGPT24:30 Competitors?25:36 VegCatalyst Current Status 27:05 Is ChatGPT all that?LinkedIn: linkedin.com/in/sam-tucker-vegan Website: vegancreativecompass.com/, https://vegcatalyst.com/ Want to be featured as a guest on Making Data Simple?  Reach out to us at [email protected] and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Throughout 2022, there was an explosion in generative AI for images and text. GPT-3, DALLE-2, pointed us towards an AI-driven future. Recently, ChatGPT has taken the (data) world by storm — prompting many questions over how generative AI can be used in day to day activities. With the incredible amount of hype surrounding these new tools, we wanted to have a discussion grounded in how these tools are being operationalized today. Enter Scott Downes. Scott is the CTO of Invisible Technologies, a process automation platform that uses GPT-3 and other generative text technologies. Scott joins the show to talk about how organizations and data professionals can maximize the potential of these tools and how AI and humans can work together in a complementary fashion to optimize workflows, reduce time-intensive, tedious tasks, and do higher quality work. Scott has a decade of experience in technology, product engineering, and technical leadership, making a veteran in training and mentoring employees across the organization, whether their roles are more creative or more technical. Throughout the conversation, we talk about what Invisible Technologies uses GPT-3 to optimize workflows, a brief overview of GPT-3 and its use cases for working with text, how GPT-3 helps companies scale their operations, the promises of tools ChatGPT, how AI analysis and human review can work together to save lives, and much more.

In this episode, Jason Foster shares his thoughts on the new technology from OpenAI, ChatGPT, what it is, its origin and the variety of its fascinating applications. Jason also explores its limitations and the impact it can have on the world. Spoiler alert: a special guest might pop up during this episode!

2022 was an incredible year for Generative AI. From text generation models like GPT-3 to the rising popularity of AI image generation tools, generative AI has rapidly evolved over the last few years in both its popularity and its use cases.

Martin Musiol joins the show this week to explore the business use cases of generative AI, and how it will continue to impact the way the society interacts with data. Martin is a Data Science Manager at IBM, as well as Co-Founder and an instructor at Generative AI, teaching people to develop their own AI that generates images, videos, music, text and other data. Martin has also been a keynote speaker at various events, such as Codemotion Milan. Having discovered his passion for AI in 2012, Martin has turned that passion into his expertise, becoming a thought leader in AI and machine learning space.

In this episode, we talk about the state of generative AI today, privacy and intellectual property concerns, the strongest use cases for generative AI, what the future holds, and much more.

Send us a text Part 1 : A different take on technology.  Iain Thomas, Group Creative Director, Virtue talks creativity and humanities, connecting people with technology, and Artificial Intelligence's impact on the creative arts.  AI, NFTs, Web 3.0, Metaverse. 

01:34 The brand of being Iain Thomas12:47 AI, NFTs, Web 3.0, Metaverse, and Crypto14:36 Have Millennials rented their lives?17:37 All things NFT24:20 AI meets poetry (Sappho)28:16 What does GPT-3 offer that humans cannot?30:06 The idea wrote the book32:38 Al, not A.I., is officially old Linkedin: https://www.linkedin.com/in/iain-s-thomas-7838445/ Website: https://product.soundstrue.com/what-makes-us-human/ Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

In 2020, OpenAI launched GPT-3, a large language AI model that is demonstrating the potential to radically change how we interact with software, and open up a completely new paradigm for cognitive software applications.

Today’s episode features Sandra Kublik and Shubham Saboo, authors of GPT-3: Building Innovative NLP Products Using Large Language Models. We discuss what makes GPT-3 unique, transformative use-cases it has ushered in, the technology powering GPT-3, its risks and limitations, whether scaling models is the path to “Artificial General Intelligence”, and more.

Announcement

For the next seven days, DataCamp Premium and DataCamp for Teams are free. Gain free access by following going here. 

Sure. GPT-3 and large language models in general can take a prompt and spin out in any of a million human-sounding directions. That's neat, but maybe not exactly what you'd want to turn loose as your guide through a narrative multiverse of AI-boosted creative play and community. "A what?" You say. Exactly. In this episode, we dug into Hilary Mason's latest endeavor, Hidden Door, and how she and her team are working to apply the right level of "human" to AI-driven narrative play. Intrigued? You should be! It's fascinating! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

We talked about:

Ivan’s role at Personio Ivan’s background Studying technical management Managing a software team NLP teams NLP engineers Becoming an NLP engineer Computer vision NLP engineer vs ML engineer Conversational designers Linguistics outside of chatbots When does a team need an NLP engineer or a linguist? The future of NLP NLP pipelines GPT-3 Problems of GPT-3 Does GPT-3 make everything obsolete? What NLP actually is? Does NLP solve problems better than humans? State of language translation NLP Pandect

Links:

https://github.com/ivan-bilan/The-NLP-Pandect https://github.com/ivan-bilan/The-Engineering-Manager-Pandect https://github.com/ivan-bilan/The-Microservices-Pandect Ivan's presentation about NLP: https://www.youtube.com/watch?v=VRur3xey31s

Join DataTalks.Club: https://datatalks.club/slack.html

Our events: https://datatalks.club/events.html

Send us a text Tony Ayaz, CEO and cofounder of Gemini Data, joins us on "Making Data Simple" to discuss industry challenges involving data, and his commitment to supporting start-ups. Host Al  Martin and Tony manage to put what would be considered a high-level, technical topic into simple terms that anyone could follow along to. Listen in to get a fresh perspective on the world of data and entrepreneurship. 

Show notes   00:00 - Check us out on YouTube and SoundCloud.  00:10 - Connect with Producer Steve Moore on LinkedIn and Twitter   00:15 - Connect with Producer Liam Seston on LinkedIn and Twitter   00:20 - Connect with Producer Rachit Sharma on LinkedIn    00:25 - Connect with Host Al Martin on LinkedIn and Twitter   00:42 - Connect with Tony Ayaz on LinkedIn and at Geminidata.com    08:37 - Learn more about the rise of autonomous data infrastructures.    11:22 - Q: Do you know the difference between imperative and declarative query languages?    16:09 - Get up to speed with data virtualization.    28:59 - Founder.org is committed to mentoring and supporting start-ups. Follow @IBMAnalytics Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

AI has changed how developers find answers - your docs are now context for both humans and LLMs.

Learn how to make your documentation AI-native with Mintlify.