Exploring Mathematics

Podcasts about Mathematics

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Episodes about Mathematics

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In this episode of Tier 1 Interventions, we delve into how a simple tool—the geo board—can yield surprising results for students who struggle with note-taking, handwriting, or traditional seated learning. Join Cheri, Jonily, and Natalie as they explore how vertical surfaces, flow state, and insights from occupational therapy are revolutionizing math classrooms. From "Teenage Tummy Time" to duct-taped binders turned into slant boards, this episode is full of strategies you can use tomorrow.🔗 Find the full Geo Board training module: https://disabilitylabs.com***************************************************************************BOOKSMaking Mathineers on Amazon: https://www.amazon.com/Making-Mathineers-Transformational-Experiences-Conceptual-ebook/dp/B08NFCZ64KHandwriting Brain Body DISconnect Digital Version: https://disabilitylabs.com/courses/hwbbd On Amazon: https://www.amazon.com/Handwriting-Brain-Body-DisConnect-techniques-ebook/dp/B07N1XB1G7Both books are also available in paperback and hardcover versions. All versions are available wherever books are sold.Math DYSconnected - To be released in 2024.***************************************************************************TIME CODES00:00 – The power of vertical whiteboards for struggling students01:00 – Welcome to the Geo Board episode: OT meets math02:00 – Building Thinking Classrooms shoutout & Peter Liljedahl03:30 – The missing neuroscience behind vertical surface learning04:30 – Natalie on student engagement and focus at the boards06:00 – Wrist extension, muscle development, and vertical writing07:00 – "Teenage Tummy Time" and reducing gravity’s impact08:00 – OT assessments, design copying, and unstructured geo board play09:00 – Engaging the senses: why spatial design matters10:00 – Brain science is Natalie’s new passion10:45 – Desk adaptations using 3-ring binders12:00 – Binder hacks for seating and footrests12:45 – Duct tape tips for sensory-friendly writing13:30 – Outro: Where to find the full Geo Board course***************************************************************************SUBSCRIBE and LISTEN to the Audio version of the podcast here on YouTube or your favorite podcast app.APPLE: https://podcasts.apple.com/us/podcast/tier-1-interventions/id1729403599?uo=4SPOTIFY: https://open.spotify.com/show/72Wmq8ddduGz4eUMK7LVIyAMAZON MUSIC/AUDIBLE: https://music.amazon.com/podcasts/89f67d1a-98b5-4592-a53c-8f4acb3d8029This podcast is created from excerpts from the Tier 1 Interventions Workshop. To hear the full math intervention, subscribe to watch the event live monthly on the 3rd Saturday during the school year.***************************************************************************MISSIONMinds on Math, LLC: To provide engaging, high-quality professional development and instructional coaching for teachers to improve student achievement and understanding of mathematics.Dotterer Educational Consulting, a Therapy Services, LLC company: To provide professional development to improve writing skills through efficient lesson planning for regular education classrooms.***************************************************************************FREE RESOURCEShttps://www.eventbrite.com/o/jonily-zupancic-8523599443https://www.eventbrite.com/o/cheri-dotterer-classroom-coach-18603393525***************************************************************************Other ways to connect with Jonily and CheriFB: https://www.facebook.com/groups/tier1interventionsIG: https://www.instagram.com/cheridotterer/     https://www.instagram.com/jonilyzupancic/Linked In: https://www.linkedin.com/in/cheridotterer/                  https://www.linkedin.com/in/jonily-zupancic-29aa7a54/X: https://twitter.com/CheriDotterer    https://twitter.com/mindsonmathTikTok: https://www.tiktok.com/@cheridotterer             https://www.tiktok.com/@mindsonmath***************************************************************************QUESTIONWhat is your biggest struggle in your classroom right now? Include grade level and your role. Share in the comments or email us at:Cheri@cheridotterer.comJonily@mindsonmath.com***************************************************************************HASHTAGS#tier1interventions #mindonmath  #jonily  #cheri #dysgraphia #dyscalculia#math #education #teaching #mathintervention #strugglingstudents
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GoldBridge AI: https://goldbridge.ai GoldBridge on LinkedIn: https://www.linkedin.com/posts/goldbridge-ai_goldbridgeai-demo-activity-7306070534235033600-rSWO?utm_source=share&utm_medium=member_desktop&rcm=ACoAADGbBvgBMTPIFZ7W6zGKUx8RuMivec4RXUI GoldBridge on Instagram: https://www.instagram.com/thegoldbridge/ Contact product manager Siddarth (Sid) Srivastava here: https://www.linkedin.com/in/sid-srivastava-4488721b2/ The post 298 Senior Software Developer talks about Job Pivots first appeared on Agile Noir.
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Welcome to Carry the Two, the podcast about how math and statistics impact the world around us from the Institute for Mathematical and Statistical Innovation. While we’re in between our more in-depth seasons, we like to bring you something a little different in mini-season format. And for this mini season, we are going to highlight some of the amazing researchers who have presented at IMSI over the past year. Our fifth guest is Rose Yu. Rose is an associate professor in the computer science department of UC San Diego, and is also affiliated with the Halıcıoğlu Data Science Institute. Rose joined us at IMSI for a workshop on Learning Collective Variables and Coarse Grained Models where she presented a talk titled Automatic Symmetry Discovery from Data. So, without further ado let’s get into my conversation with Kunal Marwaha. Host Sam Hansen joined Rose for a conversation about the research in her talk and Rose’s time at IMSI. Find our transcript here: Google Doc or .txt file Curious to learn more? Check out these additional links: Rose Yu IMSI Talk: Automatic Symmetry Discovery from Data Follow more of IMSI’s work: www.IMSI.institute, (Bluesky) @imsi.institute, (twitter) @IMSI_institute, (instagram) IMSI.institute Music by Blue Dot Sessions The Institute for Mathematical and Statistical Innovation (IMSI) is funded by NSF grant DMS-1929348
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Data scientists Lily Clements and David Stern discuss the concept of variability in data analysis. They explore different types of variability, particularly in the context of using ANOVA (Analysis of Variance) to analyse data variability. Considering practical examples from agriculture, they consider the complexity of distinguishing between natural and unaccounted-for variability.
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In this illuminating episode of Easy AI, host Nova speaks with Dr. Alex Summers about the game-changing innovation of Grouped Query Attention (GQA).Starting with the foundations of Multihead Attention, Dr. Summers breaks down how this cornerstone of transformer architecture has evolved to meet the challenges of scaling AI systems. Discover how GQA cleverly reduces memory requirements without sacrificing performance, allowing today's most powerful language models to run more efficiently.From technical explanations that clarify complex concepts to practical examples of GQA's implementation in models like Llama 2, PaLM 2, and Claude, this episode offers insights for both AI enthusiasts and practitioners. Whether you're new to transformer architecture or looking to optimize your own models, you'll walk away understanding how this elegant solution is reshaping the future of AI.Listen now to unpack one of the most important efficiency breakthroughs in modern language models! Hosted on Acast. See acast.com/privacy for more information.
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In today’s episode, we’re diving into Visual SLAM — that’s Simultaneous Localization and Mapping — using an RGB-D camera in MATLAB.
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Alex Merced discusses modern AI and the new MCP standard and what it means. Follow Alex’s Blogs on and on Social at AlexMerced.com
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We discuss a major survey of work and research on LLM-as-Judge from the last few years. "LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods" systematically examines the LLMs-as-Judge framework across five dimensions: functionality, methodology, applications, meta-evaluation, and limitations. This survey gives us a birds eye view of the advantages, limitations and methods for evaluating its effectiveness.  Read a breakdown on our blog: https://arize.com/blog/llm-as-judge-survey-paper/Learn more about AI observability and evaluation in our course, join the Arize AI Slack community or get the latest on LinkedIn and X.
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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
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Must I consider my AI's moral Welfare? I'd really rather not.