En iyi Ml Podcast podcastleri (2024)

1
791: Reinforcement Learning from Human Feedback (RLHF), with Dr. Nathan Lambert 57:10

3d ago57:10

57:10

Reinforcement learning through human feedback (RLHF) has come a long way. In this episode, research scientist Nathan Lambert talks to Jon Krohn about the technique’s origins of the technique. He also walks through other ways to fine-tune LLMs, and how he believes generative AI might democratize education.This episode is brought to you by AWS Infere…

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Learnings From Building the ML Platform at DoorDash With Hien Luu 1:06:06

6d ago1:06:06

1:06:06

Find the episode on our Youtube channel Resources: Building a Machine Learning Platform [Definitive Guide] DoorDash’s ML Platform – The Beginning 3 Principles for Building an ML Platform That Will Sustain Hypergrowth Hien's LinkedIn Survey Follow us & stay updated: ► Visit our website ► Follow us on Linkedin ► Check our Github ► Follow us on Twitte…

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790: Open-Source Libraries for Data Science at the New York R Conference 7:25

7d ago7:25

7:25

The experts reveal their top open-source R libraries with us live from the New York R Conference! This Super Data Science Podcast episode features an exclusive panel with data science trailblazers Drew Conway, Jared Lander, Emily Zabor, and JD Long. They share their favorite R libraries and valuable insights to enhance your data science practice.Ad…

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789: ML for Wind-Powered Energy Generation, with Dr. Jason Yosinski 1:14:49

10d ago1:14:49

1:14:49

Machine Learning for Wind Energy is front and center in this episode as Jon Krohn is joined by Dr. Jason Yosinski, CEO of Windscape AI. Dr. Yosinski brings to light the latest ML advancements sparking significant changes in renewable energy. Tune in for a comprehensive review of these cutting-edge technologies and their expansive impact on the indu…

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788: Multi-Agent Systems: How Teams of LLMs Excel at Complex Tasks 10:07

14d ago10:07

10:07

Multi-agent systems could mark a significant turning point in generative AI. From mastering increasingly complex tasks to getting LLMs to collaborate, in this Five-Minute Friday, Jon Krohn discusses the systems that are working to bridge the remaining gaps left by the latest large language models (LLMs).Additional materials: www.superdatascience.co…

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787: MLOps: The Job and The Key Tools, with Demetrios Brinkmann 56:18

17d ago56:18

56:18

MLOps, how to build an online community, and tools for scaling LLMs: In this episode, Demetrios Brinkmann speaks to Jon Krohn about the similarities and differences between LLMOps, MLOps and DevOps, and why this should matter to companies looking to hire such engineers. You will also hear how to get involved in the MLOps community wherever you are …

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786: The Six Keys to Data Scientists' Success, with Kirill Eremenko 27:21

21d ago27:21

27:21

Learn about the six keys to data science success as host Jon Krohn welcomes back Kirill Eremenko, the mastermind behind SuperDataScience. Kirill shares his top insights on data science careers, from building strong portfolios to leveraging mentors and hands-on labs. With over 2.7 million students, his advice is a must-hear for aspiring and experien…

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Breaking Down Workflow Orchestration and Pipeline Authoring in MLOps 52:20

21d ago52:20

52:20

Find the episode on our YouTube channel Resources: ZenML's big announcement ZenML on Github ML Experiment Tracking: What It Is, Why It Matters, and How to Implement It Follow us & stay updated: ► Visit our website ► Follow us on Linkedin ► Check our Github ► Follow us on Twitter Connect with Piotr on Linkedin Connect with Aurimas on Linkedin Connec…

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785: Math, Quantum ML and Language Embeddings, with Dr. Luis Serrano 1:06:06

24d ago1:06:06

1:06:06

Dr. Luis Serrano from the Serrano Academy reveals how to make Math and Quantum ML accessible, tackles the challenges of teaching A.I. to beginners, and explores the power of embeddings in enterprise applications. Explore the future of Quantum Machine Learning and the latest trends in AI, including multimodality and autonomous systems.This episode i…

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784: Aligning Large Language Models, with Sinan Ozdemir 9:38

28d ago9:38

9:38

Aligning LLMs: How can we teach pre-trained LLMs to hold a conversation and learn new information from each other? This was where Sinan Ozdemir began his investigation into aligning LLMs. In this episode, he talks to Jon Krohn about the limitations of definitions for LLMs, training LLMs, and whether it is possible to train an LLM without alignment.…

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783: Generative A.I. for Solar Power Installation, with Navdeep Martin 1:05:51

1M ago1:05:51

1:05:51

Recent advances in GenAI, how to tackle the climate crisis with advanced technology, and addressing the knowledge gap in understanding AI: Jon Krohn speaks to Flypower co-founder and CEO Navdeep Martin about the advances made in GenAI, from products to applications, and how we might use AI to tackle climate change.This episode is brought to you by …

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782: In Case You Missed It in April 2024 40:53

1M ago40:53

40:53

Hear Jon Krohn’s favorite five clips from his April interviews. Chief Scientist at Posit PBC Hadley Wickham on the subtle differences between Python and R. Professor of Business Analytics Barrett Thomas walks through the variables that companies should consider when using drones or any other tech to improve their business operations and bottom line…

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Going Deep On Model Serving, Deploying LLMs and Anything Production-Deployment 42:10

1M ago42:10

42:10

Find the episode on our YouTube channel The episode was recorded on 20 July 2023, and some information may not be up-to-date. Stay tuned for an updated version on our blog Resources: BentoML BentoCloud Learnings From Building the ML Platform at Uber (Michelangelo) Building a Machine Learning Platform [Definitive Guide] Follow us & stay updated: ► V…

1
781: Ensuring Successful Enterprise AI Deployments, with Sol Rashidi 1:04:48

1M ago1:04:48

1:04:48

Sol Rashidi, a distinguished data executive who has served in C-suite roles at Fortune 100 companies, joins Jon Krohn to delve into successful enterprise AI strategies and the reasons behind the high turnover among Chief Data Officers. This episode provides an in-depth look at selecting AI projects that succeed and understanding the strategic value…

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780: How to Become a Data Scientist, with Dr. Adam Ross Nelson 8:23

1M ago8:23

8:23

Want to become a data scientist? Jon and Adam discuss the key steps to becoming a data scientist, with a focus on developing portfolio projects. Hear about the 10 project ideas Adam recommends in his book to help you stand out in the data science community.Additional materials: www.superdatascience.com/780Interested in sponsoring a SuperDataScience…

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Redefining legal impact with the team at Darrow 18:34

1M ago18:34

18:34

When we think about legal tech software, we think about value add discovery or document management. But with the explosion of AI, new opportunities are emerging. We're going to share a story about how technology can help lawyers help more people and you'll hear a word that might surprise you too: Justice. On this episode of the Georgian Impact Podc…

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779: The Tidyverse of Essential R Libraries and their Python Analogues, with Dr. Hadley Wickham 1:27:59

1M ago1:27:59

1:27:59

Tidyverse, ggplot2, and the secret to a tech company’s longevity: Hadley Wickham talks to Jon Krohn about Posit’s rebrand, Tidyverse and why it needs to be in every data scientist’s toolkit, and why getting your hands dirty with open-source projects can be so lucrative for your career.This episode is brought to you by Intel and HPE Ezmeral Software…

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778: Mixtral 8x22B: SOTA Open-Source LLM Capabilities at a Fraction of the Compute 6:52

2M ago6:52

6:52

Mixtral 8x22B is the focus on this week's Five-Minute Friday. Jon Krohn examines how this model from French AI startup Mistral leverages its mixture-of-experts architecture to redefine efficiency and specialization in AI-powered tasks. Tune in to learn about its performance benchmarks and the transformative potential of its open-source license.Addi…

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Building Internal ML Platform at Scout24: How to Ship Features that People Actually Need 49:25

2M ago49:25

49:25

Find the episode on our YouTube channel Resources: The Long Tail: Why the Future of Business is Selling Less of More by Chris Anderson What Customers Want: Using Outcome-Driven Innovation to Create Breakthrough Products and Services by Anthony Ulwick The GitLab Handbook Building a Machine Learning Platform [Definitive Guide] Follow us & stay update…

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777: Generative AI in Practice, with Bernard Marr 1:08:49

2M ago1:08:49

1:08:49

Generative AI is reshaping our world, and Bernard Marr, world-renowned futurist and best-selling author, joins Jon Krohn to guide us through this transformation. In this episode, Bernard shares his insights on how AI is transforming industries, revolutionizing daily life, and addressing global challenges. With his extensive experience advising top …

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776: Deep Utopia: AI Could Solve All Human Problems in Our Lifetime 7:36

2M ago7:36

7:36

What are the risks of AI progressing beyond a point of no return? What do we stand to gain? On this Five-Minute Friday, Jon Krohn talks ‘books’ as he outlines two nonfiction works on AI and futurism by Oxford philosopher Nick Bostrom. Listen to a breakdown of DEEP UTOPIA and SUPERINTELLIGENCE in this episode.Additional materials: www.superdatascien…

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775: What will humans do when machines are vastly more intelligent? With Aleksa Gordić 1:36:41

2M ago1:36:41

1:36:41

Tech entrepreneurship, artificial superintelligence, and the future of education: Aleksa Gordić speaks to Jon Krohn about his strategies for self-directed learning, the traits that help people succeed in moving from big tech to entrepreneurship, and the social impact of artificial superintelligence.This episode is brought to you by Ready Tensor, wh…

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774: RFM-1 Gives Robots Human-like Reasoning and Conversation Abilities 12:52

2M ago12:52

12:52

Covariant's RFM-1: Jon Krohn explores the future of AI-driven robotics with RFM-1, a groundbreaking robot arm designed by Covariant and discussed by A.I. roboticist Pieter Abbeel. Explore how this innovation aims to merge digital intelligence with the physical world, promising a new era of efficiency and autonomy.Additional materials: www.superdata…

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Building ML Platform at Uber, Feature Stores, Vector Databases, and Real-time Feature Management 1:16:05

2M ago1:16:05

1:16:05

Find the episode on our YouTube channel Resources: Machine Learning: The High Interest Credit Card of Technical Debt Meet Michelangelo: Uber’s Machine Learning Platform Feature Stores and LLMs Building a Machine Learning Platform [Definitive Guide] Follow us & stay updated: ► Follow us on Linkedin ► Check our Github ► Join our Slack MLOps Community…

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773: Deep Reinforcement Learning for Maximizing Profits, with Prof. Barrett Thomas 1:07:40

2M ago1:07:40

1:07:40

Dr. Barrett Thomas, an award-winning Research Professor at the University of Iowa, explores the intricacies of Markov decision processes and their connection to Deep Reinforcement Learning. Discover how these concepts are applied in operations research to enhance business efficiency and drive innovations in same-day delivery and autonomous transpor…

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772: In Case You Missed It in March 2024 24:00

2M ago24:00

24:00

Pytorch benefits, how to get funding for your AI startup, and managing scientific silos: In our new series for SuperDataScience, “In Case You Missed It”, host Jon Krohn engages in some “reinforcement learning through human feedback” of his own with need-to-hear sound bites from past SDS episodes!Additional materials: www.superdatascience.com/772Int…

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771: Gradient Boosting: XGBoost, LightGBM and CatBoost, with Kirill Eremenko 1:55:27

2M ago1:55:27

1:55:27

Kirill Eremenko joins Jon Krohn for another exclusive, in-depth teaser for a new course just released on the SuperDataScience platform, “Machine Learning Level 2”. Kirill walks listeners through why decision trees and random forests are fruitful for businesses, and he offers hands-on walkthroughs for the three leading gradient-boosting algorithms t…

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