Krishna Karra is a data scientist & report for Bloomberg, having used machine learning & satellite images for reporting. Recent stories from him & his team include mapping refugee camps in Rafah & exposing illegal ship oil transfers in the middle of the Ocean.Sponsor: Beemaps by HivemapperGet access to high quality, fresh map data at https://beemaps.com/mindsUse promo code MINDS to get 50% off your API credits through Dec. 31 2024About KrishnaTwitterLinkedInShownotesNote: Links to books are Amazon Affiliate links. I earn a small commission if you buy any of these books.Bloomberg: The Clandestine Oil Shipping Hub Funneling Iranian Crude to ChinaBloomberg: A Detailed Map Shows How Airstrikes and Refugees Reshaped RafahHow Radar Satellites See through Clouds (Synthetic Aperture Radar Explained)National Land Cover Database (NLCD)What Ukraine Has LostGraves in Suda by Joe MorrisonJean Martin Bauer on Minds Behind MapsBooks & Podcast:Overstory by Richard Powers (Affiliate Link)Ezra Klein ShowTimestamps(00:00) - Intro(00:34) - Sponsor: Beemaps(01:51) - Krishna describes himself(03:27) - Example stories: Illegal Oil transfers(05:29) - Stories are the goal(07:07) - Why publish the data set?(12:24) - How Journalism has and hasn't changed(14:04) - How data changes a story(18:23) - Putting the datasets together(20:37) - Conveying trust(24:07) - Showing the limitations of the data(26:11) - Why is journalism important for satellite data?(30:14) - News room process(32:57) - Building custom tools(38:19) - Timeline of a news story(39:47) - What Krishna has learned as a data scientist in a news room(40:49) - Stories that have stuck out(42:57) - Different ways of showing the data(44:19) - Krishna's wishlist(51:12) - Book & podcast recommendation(53:16) - Paid podcasts & media(55:19) - Support the podcast on PatreonSupport the podcast on PatreonMy TwitterPodcast TwitterRead Previous Issues of the NewsletterEdited by Peter XiongFind more of his work

LLMs have revolutionized natural language processing, showcasing remarkable versatility and capabilities. But individual LLMs often exhibit distinct strengths and weaknesses, influenced by differences in their training corpora. This diversity poses a challenge: how can we maximize the efficiency and utility of LLMs?A new paper, "Merge, Ensemble, and Cooperate: A Survey on Collaborative Strategies in the Era of Large Language Models," highlights collaborative strategies to address this challenge. In this week's episode, we summarize key insights from this paper and discuss practical implications of LLM collaboration strategies across three main approaches: merging, ensemble, and cooperation. We also review some new open source models we're excited about. Learn more about AI observability and evaluation in our course, join the Arize AI Slack community or get the latest on LinkedIn and X.

In this episode of Mathematics Simplified, we dive into the world of complex numbers! Join us as we break down what complex numbers are, why they’re important, and how they’re used in mathematics and beyond. We’ll explain the basic form of a complex number and walk through simple operations like addition and multiplication. Plus, we’ll cover key concepts like the conjugate and modulus of a complex number. Whether you’re new to complex numbers or just need a refresher, this episode is designed to make these concepts clear and approachable!

In Episode 17, Anna Stokke sits down with Dr. Robin Codding to talk about timed tests and math anxiety.   Robin is a psychology professor who researches math interventions, assessment tools and math anxiety. She is  one of the founding members of the group The Science of Math.   In this episode, Anna asks Robin to shed some light on claims that timed tests cause math anxiety. They discuss the relationship between math achievement and math anxiety, whether it's important to include timed practice in math class, how much practice is needed to become fluent with math skills, at what stage students should be engaging in timed practice, causes of math anxiety, and best ways to mitigate it.   They talk about the relationship between conceptual and procedural understanding and whether productive struggle is a reasonable instructional technique.  Robin also shares strategies for identifying instructional methods that are philosophy-based, rather than evidence-based.  This episode is an essential resource for clearing up misconceptions about timed tests and math anxiety. EPISODE TRANSCRIPT https://www.annastokke.com/ep-17-transcript EPISODE RESOURCES https://www.annastokke.com/ep-17-resources MUSIC Intro and Outro: Coma Media – Catch it Podington Bear - Kitten Blue Dot Sessions – Ivory pillow, Delmendra, Ivory Pillow, Partly Sage, Coulis Coulis Website: www.annastokke.com Twitter: @rastokke Threads: @rastokke37

Number of the Day - "87" This podcast is produced by Klassic Studios. Check out our other podcasts there! Learn more about your ad choices. Visit megaphone.fm/adchoices

In this podcast episode, the Dave and Brian discuss the fundamental concepts of math, including addition, subtraction, multiplication, and division. They explore how these operations relate to negative numbers and rational numbers and encourage a deeper understanding of math as an action and rotation on a number line. They also touch on the philosophical debate of whether math is discovered or invented.

The GPU supply crunch is causing desperation amongst AI teams large and small. Cerebras Systems has an answer, and it’s a chip the size of a dinner plate. Andrew Feldman, CEO and Co-founder of Cerebras and previously SeaMicro, joins Sarah Guo and Elad Gil this week on No Priors. They discuss why there might be an alternative to Nvidia, localized models and predictions for the accelerator market. Show Links:  Andrew Feldman - Cerebras CEO & Co-founder | LinkedIn   Cerebras Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @andrewdfeldman Show Notes:  (0:00:00) - Cerebra Systems CEO Discusses AI Supercomputers (0:07:03) - AI Advancement in Architecture and Training (0:16:58) - Future of AI Accelerators and Chip Specialization (0:26:38) - Scaling Open Source Models and Fine-Tuning

In this episode I talk about my study routine for AP Calculus AB. I mention the resources I used and how much I studied through out the school year. I also mention my skill level in terms of how many questions I would get wrong or right in my practice problems.

The migration of Paul’s theology is often framed as “from Saul to Paul” but we find out that there is a dramatic migration in Paul’s theology even after his encounter with Jesus on the road to Damascus. This episode explores the way that the early church disregarded the authority of the written word in favor of the Living Word and this is the pattern that the modern church follow.If you have questions, please send an email to:yeahbut@originalgoodness.mediawww.originalgoodness.mediaSupport this podcast at — https://redcircle.com/dogmatically-imperfect/donations