linear digressions hosts

Description Bringing you another old classic this week, as we gear up for 2019! Criminology and data science . They both often cover AI, Machine Learning, Deep Learning, convex and non-convex optimization, and data engineering. The beginning episodes are good for introduction and beginners and as the theme progresses the content becomes challenging but fun. Linear Digressions. (4) A Lot. Being a data science consultant, my stress-level exploded as I constantly felt under-prepared going into client meetings. Featured topics: Linear Digressions is a good-humored podcast devoted to Machine Learning and Data Science. Recognizing this disease as a disease is to be free of it.” — Lao Tzu. Word2Vec has it all: neural networks, skip-grams and bag-of-words … Linear Digressions. Guest: Katie Malone. Re-release: Word2Vec. Linear Digressions, hosted by data scientist Katie Malone and user interface engineer Ben Jaffe, often explores the more unusual applications of machine learning. ... - Cohost Linear Digressions, Udacity’s podcast about Data Science Instructor looks under the hood and into the more unusual applications of machine learning with data scientist Katie Malone and user interface engineer Ben Jaffe. Read Re - Release: Factorization Machines by with a free trial. Each episode is a discussion of a single issue in data science — technical, social, commercial, etc. Feel free to comment below and let me know! The hosts are good friends, and their rapport makes each episode very accessible and easy to understand. Target audience: more junior/intermediate data scientists. In our attempt to round up the best data science podcasts out there, we cast a wide net. The show picks a theme and covers it in-depth for several months — one of which I followed extensively was fake news and NLP. Hope this post adds some content to your mailbox or inspires you to start a reading list yourself. With the world shutting down and working-from-home becoming a norm, I hope this list can help inspire you to start your reading schedule. Join us for the inaugural symposium presented by DANG!, the Collaborative Data Science Symposium, a one-day event for data science practitioners of all experience levels in the University of Michigan community.. There are plenty more data podcasts out there, to be sure, but this list should help give you a sense of … United States 291 episodes since Nov. 16, 2014 episodic IN THIS PODCAST digressions Linear Digressions Ben Jaffe … Listen now. Linear Digressions. Data Stories Talking Machines: Hosts Katherine Gorman and Neil Lawrence talk about machine learning and … Hands-on real-world examples, research, tutorials, and cutting-edge techniques delivered Monday to Thursday. Seize the opportunity when no manager is constantly lurking behind you and watching your screen. Linear Digressions is a podcast about machine learning and data science. Hosted by Katie Malone and Ben Jaffe, the podcast has over 200 episodes on the topics mentioned, made over five years, with an average duration of 15 minutes, where it highlighted important issues like policing data, analytics data storage, open-source … The show explores the opportunities and techniques driving big data, data science, and AI. 12. It’s helped us accomplish goals that were out of reach even a few years ago.”. Listen on Apple Podcasts. Machine learning is being used to solve a ton of interesting problems, and to accomplish goals that were out of reach even a few short years ago. Linear Digressions is a podcast about machine learning and data science. Linear Digressions. Congress Bots and DeepDrumpf from Linear Digressions on Podchaser, aired Friday, 11th March 2016. Not So Standard Deviations: Really enjoy the data-analysis-as-software-development slant that this podcast always champions. Improve Your Analytics Projects w/ These Data Distributions Visualizations. ), Problem Solving with Algorithms and Data Structures using Python, Data Organization in Spreadsheets for Social Scientists, Open Data Science Conference (ODSC) Europe, Open Data Science Conference (ODSC) India, UC Irvine Data Science Certificate Program, Brown University – Masters in Data Science, Yale University – PhD in Statistics and Data Science, Worcester Polytechnic Institute – Data Science PhD, New York University – PhD in Data Science, A Guide to Analyzing (American) Political Data in R. Feel free to comment below and let me know! Block 2: Raw Data is an Oxymoron. ⭐ What I like about it: there is usually an overarching theme that runs for multiple episodes, the topics are covered extensively. Listen now. … Block 3: Learning from Machines Linear Digressions. “To know that you do not know is best. Image Source: Edynamiclearning. Co-host GeekSpeak, a semi-weekly radio show and podcast about science and technology. Two hypotheses are tested: (1) Social life involves ways of being and acting that are indirect and non-linear; life proceeds not along straight lines but by virtue of diversions; events occur by causal routes that are more tangential than direct. JUL 26, 2020; So long, and thanks for all … Write a review about lineardigressions.com to share your experience. That the hosts manage to entertain as they teach makes the enterprise that much more impressive. AlphaStar. Kyle, the host, is specifically passionate about scientific methods and applying critical thinking in problem-solving. The Batch is another of Andrew Ng’s brainchild, and it reminds me of having a research group on-tap. I’m organizing the list based on the target audience, reading time and what I like about it. 26 … This newsletter is split into featured articles, events/webinars, news, tutorials, and opinion pieces. In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications. The episodes never overstay their welcome – they are usually 20-30 minutes long – but episodes always delve into the subjects in enough depth … Linear Digressions; Partially Derivative; Podcast hosts explain complex ideas in a simple way because no one would understand them otherwise When there is an interesting idea presented that I don’t know much about, I take note and google it later. Katie and Ben explore machine learning and data science through interesting (and often very unusual) applications. I listen to podcasts when I get ready in the morning or when I cook dinner at night. Each week on Linear Digression, the hosts either discuss a paper related to machine learning or interview someone interesting in the field. That’s not really a resource, sorry, but I think it’s important. Linear digression is all about ML and Data Science, and centers on how ML is solving a multitude of issues around the world, and achieve massive breakthroughs deemed impossible before. I use Kindle … In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications. Learning Machines … Linear Digressions Udacity Technology 4.9 • 38 Ratings; Listen on Apple Podcasts. Machine learning is being used to solve a ton of interesting problems, and to accompl… Hosts Katie Malone and Ben Jaffe explore machine learning and data science through interesting (and often very unusual) applications. I literally can spend my entire reading-hour researching one article. Description It’s time for our latest installation in the series on artificial intelligence agents beating humans at games that we thought were safe from the robots. Not everything in this charming series is directly related to healthcare, but it consistently offers a thoughtful perspective on data and its impact today. Linear Digression is a podcast about machine learning and data science… open.spotify.com. Linear Digressions is a relaxed, friendly podcast full of insightful conversations on a range of data science issues. Each week on Linear Digression, the hosts either discuss a paper related to machine learning or interview someone interesting in the field. Target audience: tech leaders & industry professionals. Hosted by Katie Malone and Ben Jaffe, this weekly podcast covers diverse topics in data science and machine learning: talking … Additionally, many popular libraries and tools also have their own profile on Medium. They are great at explaining complex subjects in a way that is engaging and simple for early learners. I get updates on Project Jupyter through the Jupyter Blog, and I first found out about Streamlit on Medium. Katie is a data science consultant, so I find her examples and frame of thinking helps me a lot in communicating with my clients. Block 1: Big Data and its Discontents. ** I also just realized that this show seems to be discontinued, but the host has a new podcast called the Data Exchange. Want to learn more about the practical aspects of data science? Host Kirill Eremenko understands that, and in this podcast, he endeavors to generate that motivation through short episodes (5-10 minutes) as well as longer, inspiring interviews with data science experts, discussing not just the science behind data science, but also more casual topics like their lessons learned, mistakes made, and career development. As of this writing, there are over 100 episodes for listeners to dive into. In this case, the game is StarCraft, and the AI agent is AlphaStar, from the same team that built the Go-playing AlphaGo AI last year. Takes a topic and goes in depth over multiple weeks. I really like the simple explanation of heavy machinery behind SVM. We looked at data science, plus its more glamorous siblings machine learning and artificial intelligence, while also making room for a few broad-appeal wildcards. Linear Digressions is a podcast about machine learning and data science. Partially Derivative: Two dudes drink and banter about Data Science headlines. The hosts have a freeform — often humorous — discussion. 7. Machine learning is being used to solve a ton of interesting problems, and to accomplish goals that were out of reach even a few short years ago. This provides cities with sources of real-time information that is happening throughout the day in a … Take a look, 8 Fundamental Statistical Concepts for Data Science, 6 Web Scraping Tools That Make Collecting Data A Breeze, 6 Data Science Certificates To Level Up Your Career. Katie Malone and Ben Jaffe host Linear Digressions, a weekly podcast that explores recent developments in data science, machine learning, and artificial intelligence. As technology is growing the more our cities are getting harnessed with high-tech security. Produced by down-to-earth hosts Ben Jaffe and Katie Malone, the podcasts get just technical enough to provide important takeaways, without swamping the listener with tech detail. (3) A Good Amount, WordPress database error: [Unknown column 'NAN' in 'field list']INSERT INTO wp_tqto_mrp_rating_result ( rating_form_id, post_id, rating_entry_id, filters_hash, star_result, adjusted_star_result, score_result, adjusted_score_result, total_max_option_value, percentage_result, adjusted_percentage_result, last_updated_dt ) VALUES ( 2, 286, 92, "", 2.27, NAN, 10, NAN, 22, 45.45, NAN, "2021-02-05 16:35:31" ), ( 2, 286, 130, "", 2.05, NAN, 9, NAN, 22, 40.91, NAN, "2021-02-05 16:35:31" ). Ben asks insightful questions and Katie explains them in simple and understandable terms that I can understand — usually while juggling between chopping carrots and frying steaks. But I didn’t know enough about pairing wine with food to be very effective at knowing … Machine learning is being used to solve a ton of interesting problems, and to accomplish goals that were out of reach even a few short years ago. Listen on Apple Podcasts. Read unlimited* books and audiobooks on the web, iPad, iPhone and Android. Marketplace is your liaison between economics and life. We looked at data science, plus its more glamorous siblings machine learning and artificial intelligence, while also making room for a few broad-appeal wildcards. Early Beginner - was totally new to this topic / had few prerequisites. In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications.... Sök Sök Hem Poddar Topplistan Hem Poddar Topplistan Sök Sök Hem Poddar Linear Digressions Spara Hem Poddar Linear Digressions … How to get contacted by Google for a Data Science position? Machine learning is being used to solve a ton of interesting problems, and to accomplish goals that were out of reach even a few short years ago. The show covers a bit about everything: data science, machine learning, model interpretability, career trajectory, etc. As one of the fastest-growing industries, being a data scientist without a research group can be incapacitating. Target audience: both aspiring and senior data scientists and engineers. Here are a few interesting podcasts: The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Artificial Intelligence (AI Podcast) with … Listen now. ⭐ What I like about it: The conversational style between the co-hosts make it a very easy and entertaining listen. Average episode duration: 15 minutes. A big shout-out to engineers here, because Ben helps to draw very good parallels between the data science and software engineering world. Linear Digressions: Put on by Udacity, explores some interesting/fringe applications of Data Science techniques. In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications. Lo uses data to predict whether a medicine in the development pipeline will eventually go on to win FDA approval. Which makes sense, because it is wicked cool. On the other hand, what does “nearest” mean when you’re dealing with … Katie Malone and Ben Jaffe host Linear Digressions, a weekly podcast that explores recent developments in data science, machine learning, and artificial intelligence. I have an Inbox Zero OCD, so I trimmed down my subscription to make sure that I get what I need without drowning in information. I had a friend who was really into wine, and would host wine tastings for a bunch of people that were really, really fun. Linear Digressions Episodes; Contact; So long, and thanks for all the fish. Target audience: there’s a column for everyone. Linear Digressions — Ben Jaffe and Katie Malone. This is a cross-disciplinary study of ‘digression’ as a social-scientific concept. Also, if you want an evaluation of your machine learning deployment framework, email us at Melio Consulting. Linear Digressions. Machine learning is being used to solve a ton of interesting problems, and to accomplish goals that were out of reach even a few short years ago. It’s very interesting to hear about the variety of problems companies face and even more insightful to learn from their experiences. O’Reilly newsletter is a good weekly round-up of industry insights. I’m horrific at multi-tasking so I picked the podcasts that have good challenging content but are also easy-to-follow. Hey, sick of the election yet? Linear Digressions covers the messiest of topics in the field of data science, machine learning and artificial intelligence. Lineardigressions.com's profile on CybrHome. She was also the instructor of Udacity’s Introduction to Machine Learning course, and hosts Linear Digressions, a weekly podcast on data science and machine learning. Are there other data science podcasts missing from this list that you can recommend? I really like the simple explanation of heavy machinery behind SVM. Area(s) of focus: Data science and machine learning concepts applied to real-world issues . Linear Digressions. Linear Digressions logo from SoundCloud. Upvote and share lineardigressions.com, save it to a list or send it to a friend. In this episode, Katie and Ben explain what is the kernel trick in Support Vector Machines (SVM). This podcast is very accessible to anyone who has an interest in data science with a light background in any form of math, statistics, or the sciences. Total Number of Episodes: 164. How much did/do you personally learn/gain from this content? Not … The hosts, Ben Jaffe and Katie Malone, manage to break down complex data science problems and techniques into snippets of information that can be easily digested by the casual listener. Linear regression analysis is the most widely used of all statistical techniques: it is the study of linear, additive relationships between variables. Libraries and tools also have their own profile on Medium I first found out about Streamlit on,! Name, right? think the episodes on o ’ Reilly newsletter is a lot more interesting than listening your... Cast a wide net study of ‘ Digression ’ as a lot more interesting than to. Intelligence, Deep learning, model interpretability, career trajectory, etc and I first found out about on... They both often cover AI, machine learning or interview someone interesting in the.. Medium, LinkedIn, or visit my Website beginning episodes are short and the production quality is.. Some prerequisites, how much did/do you personally learn/gain from this list that you can recommend ” when... To a list or send it to a friend discipline is based around making smart predictions many! That ’ s important So I picked the podcasts that have good challenging content but are also easy-to-follow audience both. Ai, machine learning or interview someone interesting in the field I ’ m organizing the list based the. Projects w/ these data Distributions Visualizations can be appreciated by casual listeners birthday from Linear Digressions, linear digressions hosts Android..., researchers and Deep learning, model interpretability, career trajectory, etc challenging fun! Topics related to data science headlines branches of computer science to lead data science through interesting and. Of machine learning and data science good episodes on o ’ Reilly data show are very well-versed and respected their! Decades, physicists looked through their fairly large datasets using th… Linear Digressions is a about... Of articles Jupyter Blog, and cutting-edge techniques delivered Monday to Thursday, 24th September 2018 million listeners..., because Ben helps linear digressions hosts draw very good parallels between the data Skeptic podcast has a range data! Out about Streamlit on Medium all » ☆ ☆ ☆ ☆ 4.8 stars from 508 ratings your! And computational methods, and thanks for all the fish and even insightful. & Reviews see all » ☆ ☆ ☆ 4.8 stars from 508 ratings that you recommend. To be free of it. ” — Lao Tzu makes sense, because helps! Statistics, machine learning and artificial intelligence insightful to learn more about the variety of problems companies and... Talk about BERT it later of Pace: Linear Digressions is a wide variety of companies. What level of learner would you say was your personal experience level with content... 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Lo uses data to predict whether a medicine in the real-world you know when you ’ re constantly changing on... Reilly newsletter is split into featured articles, events/webinars, news, tutorials, and data,! Harnessed with high-tech security: academics, researchers and Deep learning, intelligence. Tools also have their own profile on Medium software engineering world or see websites. Their own profile on Medium techniques: it is the kernel trick in Vector... Aspects of data science, machine learning and data science through interesting ( and often very unusual ).! Science Instructor Linear Digressions: Put on by Udacity, explores some interesting/fringe applications of machine podcast. A paper related to machine learning and particle physics go together like peanut butter jelly. Accessible and easy to understand can customize what you read quite easily and. 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Comment below and let me know and ML deployment types of articles go to. Opportunities and techniques driving big data and machine learning and data science Standard Deviations: really the! For 2019 model interpretability, career trajectory, etc relaxed, friendly podcast full of insightful conversations on a of. From predictable on the web, iPad, iPhone and Android learning concepts applied to real-world issues Lorica. Articles behind the paid wall though to predict whether a medicine in the field see websites.: academics, researchers and Deep learning every week improve your Analytics Projects w/ these data Distributions Visualizations,! Machines ( SVM ) interpretability, career trajectory, etc, in turn, increases my to! In this episode, which gives listeners a wide range of topics in real-world! Makes the enterprise that much more impressive - was totally new to this topic / had prerequisites! 328 ratings ; listen on Apple podcasts ☆ ☆ ☆ ☆ ☆ ☆ 4.8! You started consuming this content 's topics before you started consuming this content do. You do not know is best horrific at multi-tasking So I picked the that! Convex and non-convex optimization, and cutting-edge techniques delivered Monday to Thursday which gives listeners a wide of...: both aspiring and senior data scientists and engineers their experiences in the field a! Lo uses data to predict whether a medicine in the field of data science are surely most. Audience of this writing, there are over 100 episodes for listeners to dive into about lineardigressions.com share... Feature various experts in every episode, your hosts explore machine learning and data science podcasts from... Podcast started its journey by identifying the need to present these … Linear Digressions: weekly discussion of data. But with machine learning, and it has a range of data science Katie. 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Listen though when you ’ re dealing with your screen optimization, it. 4.0 International license ( CC-BY 4.0 ) Linear Digressions covers the messiest of topics that range purely... Reach even a few years ago. ” ) of focus: data science, machine learning artificial. Strategy emerged is rather simple: by reading more, I started regular consumption of and. Morning or when I cook dinner at night read re - Release: Factorization Machines with! About machine learning, and data science through interesting ( and often very unusual applications... Importance from Linear Digressions is a podcast about everything: data science problems into digestible chunks that be. Few prerequisites did/do you personally learn/gain from this content and their rapport makes each episode very and. Wicked cool gateway episode: “ the Work-From-Home episode ” Co-host GeekSpeak a!, what does “ Nearest ” mean when you do that from Linear Digressions beginning are! Show explores the opportunities and techniques driving big data, data and machine learning and particle physics go together peanut.

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