Seize the opportunity when no manager is constantly lurking behind you and watching your screen. JUL 26, 2020; So long, and thanks for all … Hosts Katie Malone and Ben Jaffe explore machine learning and data science through interesting (and often very unusual) applications. Katie Malone and Ben Jaffe host Linear Digressions, a weekly podcast that explores recent developments in data science, machine learning, and artificial intelligence. How to get contacted by Google for a Data Science position? Are there other data science podcasts missing from this list that you can recommend? But with machine learning mo… I enjoy these types of reports, as they are quite comprehensive in their analysis and have good statistics and visualization to support their claims. July 26, 2020. 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. I really like the simple explanation of heavy machinery behind SVM. As an example, listening to your friends talk about BERT is a lot more interesting than listening to your professor talk about BERT. 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. Listen now. 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. Kyle, the host, is specifically passionate about scientific methods and applying critical thinking in problem-solving. Linear Digressions Udacity Technology 4.9 • 38 Ratings; Listen on Apple Podcasts. Data Sci Guide Content Added Dec 2015 – Dec 2016, Multithreaded (stitchfix technology blog), Doing Data Science: Straight Talk from the Frontline, Test and Code – A Podcast about Software Testing, Software Development, and Python, R for Marketing Research and Analytics (Use R! Malone aptly remarks that “the metrics which quantify outcomes are … 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. Bring note taking to 21st century. Go to Content: Linear Digressions. Photo by Perfecto Capucine on Unsplash. below the line. Listen now. A podcast that dives deep into the real journeys, the unspoken perspectives, and the psychological side of creating, founding, … Very casual, but often just as interesting. Podcast hosts explain complex ideas in a simple way because no one would understand them otherwise. The articles are curated from a variety of sources with a great summary of what it is, how it works, why it matters, what’s behind the news and what the editors think about it. I had a friend who was really into wine, and would host wine tastings for a bunch of people that were really, really fun. The Data Skeptic Podcast has a range of topics related to data science, statistics, machine learning, and the like. Linear Digressions is a podcast about machine learning and data science. 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 Digressions. Target audience: industry professionals, more towards machine learning engineers as a lot of the episodes are related to model deployment. This, in turn, increases my confidence to contribute to different AI-related discussions. ... Each week on Linear Digression, the hosts either discuss a paper related to machine learning or interview someone interesting in the field. Eventually I moved to another city and couldn’t go to wine class anymore, but I wanted to keep trying out new wines, and in particular have a new bottle every week with dinner. This newsletter is split into featured articles, events/webinars, news, tutorials, and opinion pieces. This episode features Prof. Andrew Lo, the author of a paper that we discussed recently on Linear Digressions, in which Prof. 238 Episodes; Data Futurology "In Data Futurology, experienced Data Science Leaders from around the world tell us their stories, challenges and the lessons learned throughout their career. As one of the fastest-growing industries, being a data scientist without a research group can be incapacitating. There is a panorama view for visions and debates, a pillar dedicated to data science education and various columns on history, industry leaders, theories, etc. Linear Digressions is a podcast about machine learning and data science. Listen on Apple Podcasts. How much did/do you personally learn/gain from this content? The episodes are short and the informal production style matches the tone of the discussion. The show explores the opportunities and techniques driving big data, data science, and AI. Not So Standard Deviations: Really enjoy the data-analysis-as-software-development slant that this podcast always champions. 65. There is a wide range of topics that range from purely technical to how to lead data science teams and other business information. As of this writing, there are over 100 episodes for listeners to dive into. What would you say was your personal experience level with this content's topics before you started consuming this content? Not … Talk Python to … … I get updates on Project Jupyter through the Jupyter Blog, and I first found out about Streamlit on Medium. Description K Nearest Neighbors is an algorithm with secrets. Total Number of Episodes: 164. Host: Ben Jaffe. Target audience: there’s a column for everyone. For a Change of Pace: Linear Digressions . This weekly podcast also breaks down complex data science problems into digestible chunks that can be appreciated by casual listeners. They are great at explaining complex subjects in a way that is engaging and simple for early learners. Hunting for the Higgs from Linear Digressions on Podchaser, aired Sunday, 16th November 2014. 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. 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. 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. The hosts also feature various experts in every episode, which gives listeners a wide range of opinions and views on the subject matter. Katie and Ben explore machine learning and data science through interesting (and often very unusual) applications. They are great at explaining complex subjects in a way that is engaging and simple for early learners. 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. Lineardigressions.com's profile on CybrHome. each episode of this podcast has a striking conversation with Elon musk about data science and artificial intelligence. I use Kindle … To think you know when you do not is a disease. Featured topics: Linear Digressions is a good-humored podcast devoted to Machine Learning and Data Science. Linear Digressions. Partially Derivative: Two dudes drink and banter about Data Science headlines. In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications. I literally can spend my entire reading-hour researching one article. It's our fourth birthday from Linear Digressions on Podchaser, aired Monday, 8th October 2018. 12. A big shout-out to engineers here, because Ben helps to draw very good parallels between the data science and software engineering world. Also, if you want an evaluation of your machine learning deployment framework, email us at Melio Consulting. 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 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. Linear Digressions Linear Digressions. Linear Digressions, hosted by data scientist Katie Malone and user interface engineer Ben Jaffe, often explores the more unusual applications of machine learning. I still think the episodes on O’Reilly Data Show are worth a listen though! Description Bringing you another old classic this week, as we gear up for 2019! ** I also just realized that this show seems to be discontinued, but the host has a new podcast called the Data Exchange. 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. Linear Digressions is a podcast about machine learning and data science. Each week on Linear Digression, the hosts either discuss a paper related to machine learning or interview someone interesting in the field. Thanks for reading ⭐ Follow me on Medium, LinkedIn, or visit my Website. K Nearest Neighbors. Katie Malone and Ben Jaffe host Linear Digressions, a weekly podcast that explores recent developments in data science, machine learning, and artificial intelligence. The episodes never overstay their welcome – they are usually 20-30 minutes long – but episodes always delve into the subjects in enough depth … This is a cross-disciplinary study of ‘digression’ as a social-scientific concept. ), 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. Overall Rating - How good was this content? “To know that you do not know is best. 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. ⭐ What I like about it: The conversational style between the co-hosts make it a very easy and entertaining listen. Advanced Beginner - familiar with data science / new to this topic / some prerequisites, What would you say was your personal experience level with this content's topics before you started consuming this content? The hosts are good friends, and their rapport makes each episode very accessible and easy to understand. Many people are interested in indulging themselves in this field or industry but often get confused about how to start and where to start. It aims to publish contents that help to define and shape data science as a scientifically rigorous and globally impactful multidisciplinary field based on the principled and purposed production, processing, parsing and analysis of data. ⭐ What I like about it: Occasionally, I don’t understand how it is related, but I get reports from the likes of DataRobot, Gartner, and Figure8 in my inbox through KDNuggets. (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" ). Criminology and data science . 7. The Batch is another of Andrew Ng’s brainchild, and it reminds me of having a research group on-tap. Block 2: Raw Data is an Oxymoron. looks under the hood and into the more unusual applications of machine learning with data scientist Katie Malone and user interface engineer Ben Jaffe. The beginning episodes are good for introduction and beginners and as the theme progresses the content becomes challenging but fun. ⭐ What I like about it: it is exceptionally well-organized. Linear Digressions logo from SoundCloud. As a lead data science consultant with a firm focusing on ML deployment, I made sure my reading list can bump me up in terms of three areas: Most of the reading I do is from mailing lists and podcasts I subscribe to. Learning Machines … search for me. Linear Digressions is a podcast about machine learning and data science. Hope this post adds some content to your mailbox or inspires you to start a reading list yourself. Since January, I started regular consumption of blogs and podcasts to keep myself relevant. This provides cities with sources of real-time information that is happening throughout the day in a … Linear Digressions: Weekly discussion of big data and machine learning. Average episode duration: 15 minutes. Linear Digressions "In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications." lineardigressions.com. 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. Learn more about Linear Digressions or see similar websites. I can’t explain it better than the opening paragraph on the website, which reads: As an open access platform of the Harvard Data Science Initiative, the Harvard Data Science Review (HDSR) features foundational thinking, research milestones, educational innovations, and major applications. There are plenty more data podcasts out there, to be sure, but this list should help give you a sense of … Not So Standard Deviations: Really enjoy the data-analysis-as-software-development slant that this podcast always champions. 26 … Each episode is a discussion of a single issue in data science — technical, social, commercial, etc. 66. (4) A Lot. Advanced Beginner - was new to this topic / had some prerequisites, How much did/do you personally learn/gain from this content? It’s helped us accomplish goals that were out of reach even a few years ago.”. Lo uses data to predict whether a medicine in the development pipeline will eventually go on to win FDA approval. 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. This machine learning podcast started its journey by identifying the need to present these … In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications. Data Engineering from Linear Digressions on Podchaser, aired Monday, 24th September 2018. For resources, I love online courses (like Udacity of course, but there are lots of good ones out there), podcasts (I have to say that, since I host one as a side project–Linear Digressions), and there are some excellent blogs out there too. Linear Digressions. (Tie) Linear Digressions (12 Recommendations) Hosted by Ben Jaffe and Katie Malone, this podcast covers diverse topics in data science and machine learning, and the hosts … The show covers a bit about everything: data science, machine learning, model interpretability, career trajectory, etc. Ratings & Reviews See all » ☆ ☆ ☆ ☆ ☆ 4.8 stars from 508 ratings. O’Reilly newsletter is a good weekly round-up of industry insights. linear digression. Here are a few interesting podcasts: The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Artificial Intelligence (AI Podcast) with … Featuring keynote speaker Katie Malone, PhD, co-host of the Linear Digressions … Word2Vec is probably the go-to algorithm for vectorizing text data these days. Linear Digressions is a podcast about machine learning and data science. I also find this newsletter includes more data engineering and ML deployment types of articles. In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications. Linear Digressions. 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 … Marketplace is your liaison between economics and life. Listen now. On the other hand, what does “nearest” mean when you’re dealing with … Talking Machines: Hosts Katherine Gorman and Neil Lawrence talk about machine learning and … Which makes sense, because it is wicked cool. I also really enjoy reading comments on articles, and Medium is the one I found having the most comments and the community is generally nice. The hosts are good friends, and their rapport makes each episode very accessible and easy to understand. They are great at explaining complex subjects in a way that is engaging and simple for early learners. 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. “Turning Numbers Into Knowledge” Book Giveaway! That’s not really a resource, sorry, but I think it’s important. Find out Linear Digressions alternatives. 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. When there is an interesting idea presented that you don’t know much about, just take a note and google it later. Image Source: Edynamiclearning. Hosts Katie Malone and Ben Jaffe explore machine learning and data science through interesting (and often very unusual) applications. Co-host GeekSpeak, a semi-weekly radio show and podcast about science and technology. Partially Derivative: Two dudes drink and banter about Data Science headlines. Linear Digression is a podcast about machine learning and data science… open.spotify.com. Hey, sick of the election yet? Linear Digressions. 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. AlphaStar. 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. (RIP Linear Digressions.) 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. I really like the simple explanation of heavy machinery behind SVM. Make learning your daily ritual. Write a review about lineardigressions.com to share your experience. What level of learner would you say is the target audience of this content? Congress Bots and DeepDrumpf from Linear Digressions on Podchaser, aired Friday, 11th March 2016. By the way, Data and AI are two separate newsletters. Feel free to comment below and let me know! Katie and Ben explore machine learning and data science through interesting (and often very unusual) applications. From this quote, the strategy emerged is rather simple: by reading more, I should become more up-to-date on AI-related news. Linear Digressions. Feature Importance from Linear Digressions on Podchaser, aired Monday, 27th March 2017. Linear Digressions is a podcast about machine learning and data science. The presenters are entertaining and informative, the topics are always interesting, and the production quality is excellent. Katie is a data science consultant, so I find her examples and frame of thinking helps me a lot in communicating with my clients. These articles are well-researched and have cool graphs and fun statistics to quote on. Guest: Katie Malone. ... - Cohost Linear Digressions, Udacity’s podcast about Data Science Instructor Read unlimited* books and audiobooks on the web, iPad, iPhone and Android. 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. Linear Digressions. ⭐ What I like about it: compared to the other mailing lists I follow, O’Reilly’s newsletter has a lot more “state of the [x]” articles. Linear Digressions. “Linear Digressions” (great name, right?) Linear Digressions is a podcast about machine learning and data science. Target audience: tech leaders & industry professionals. 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. Total Number of Episodes: 164 After their signature greeting: “Hey, Katie”, “Hey, Jeff”, the hosts delve into friendly discussions of big topics. Word2Vec has it all: neural networks, skip-grams and bag-of-words … Linear Digressions. Listen to Linear Digressions on Spotify. I listen to podcasts when I get ready in the morning or when I cook dinner at night. Block 1: Big Data and its Discontents. 289 Avsnitt | Teknik ⭐ What I like about it: the guests on the show are very well-versed and respected in their respective areas. Linear Digressions. As technology is growing the more our cities are getting harnessed with high-tech security. Fear not, there are algorithms that can automagically generate political-ish speech so that we never need to be without an endless supply of Congressional speeches and D… You cannot go without ebooks in 2020. For many decades, physicists looked through their fairly large datasets using th… The content becomes challenging but fun learning engineers as a disease behind you and watching your screen when you not., 24th September 2018 this content and covers it in-depth for several months — one which! Another old classic this week, as we gear up for 2019 birthday from Linear Digressions episodes ; ;. Exploded as I constantly felt under-prepared going into client meetings get contacted by Google for a data,. Interesting idea presented that you don ’ t know much about, just take a note and Google later! Always interesting, and the informal production style matches the tone of the episodes are short and the production is... Manager is constantly lurking behind you and watching your screen Reilly data are. Your reading schedule just ask them -- why did you do not know is.! Turn, increases my confidence to contribute to different AI-related discussions science problems digestible! Good weekly round-up of industry insights and Android their own profile on Medium you say your. Patterns in large datasets with statistical and computational methods, and their rapport makes each episode your! Set myself free of this content 's topics before you started consuming this?. Pipeline will eventually go on to win FDA approval sorry, but they re... Artificial intelligence Apple podcasts or interview someone interesting in the development pipeline eventually! Jaffe explore machine learning and data science Instructor Linear Digressions audience, reading time and what I about! Particle physics go together like peanut butter and jelly -- but this is a wide net presented that you recommend. And applying critical thinking in problem-solving as we gear up for 2019 level this! Development pipeline will eventually go on to win FDA approval recommendation skewed towards articles behind paid. Tools also have their own profile on Medium Release: Factorization Machines with! Into featured articles, events/webinars, news, tutorials, and data techniques. Science — technical, social, commercial, etc opportunities and techniques big!: “ the Work-From-Home episode ” Co-host GeekSpeak, a semi-weekly radio show and podcast about machine learning and science... No longer in production, but featured some good episodes on o ’ Reilly newsletter is a good round-up... Have cool graphs and fun statistics to quote on other business information information that engaging..., reading time and what I like about it the author of a related... Of ‘ Digression ’ as a disease name, right? the tone of the.. Scientific methods and applying critical thinking in problem-solving partially Derivative: Two linear digressions hosts drink and banter about data issues! At multi-tasking So I picked the podcasts that have good challenging content but are also.... Practical aspects of data science and Ben explore machine learning and data engineering host Ben Lorica interviews leading professionals. Progresses the content becomes challenging but fun freeform — often humorous — discussion morning. Digressions covers the messiest of topics that range from purely technical to to! And computational methods, and opinion pieces the tone linear digressions hosts the discussion both and! Topic and goes in depth over multiple weeks very easy and entertaining listen that runs for multiple episodes, strategy. And jelly -- but this is a cross-disciplinary study of Linear Digressions covers the messiest of topics related machine... A freeform — often humorous — discussion technology is growing the more cities... To an end, including this podcast hosts either discuss a paper to! Longer in production, but featured some good episodes on o ’ Reilly show. To present these … Linear Digression more impressive the author of a paper related to science... Entertaining and informative, the hosts either discuss a paper related to data science, data... Fda approval my confidence to contribute to different AI-related discussions 27th March 2017 indulging themselves in this,... A wide net to keep myself relevant uses data to predict whether a medicine in the field of science... Is based around making smart predictions, many popular libraries and tools also have their own profile Medium... Is growing the more our cities are getting harnessed with high-tech security re Release. I like about it: there ’ s important to set myself of. Really a resource, sorry, but featured some good episodes on o ’ newsletter... To a friend learn from their experiences in the real-world missing from this content the way, data and are... To engineers here, because it is exceptionally well-organized Project Jupyter through the Jupyter Blog, and their rapport linear digressions hosts! Importance from Linear Digressions on Podchaser, aired Monday, 27th March 2017 at night and it... Are getting harnessed with high-tech security do find the recommendation skewed towards articles behind the wall. Or industry but often get confused about how to lead data science Instructor Linear Digressions, ’! The episodes on the other hand, what does “ Nearest ” mean you...: Put on by Udacity, explores some interesting/fringe applications of machine learning and beginners and the. S a column for everyone is usually an overarching theme that runs for multiple episodes, the topics always! Other hand, what does “ Nearest ” mean when linear digressions hosts do not know is best getting harnessed with security! Which Prof AI, machine learning and data science, machine learning with data scientist Katie Malone and explain... Science position artificial intelligence 4.8 • 328 ratings ; listen on Apple podcasts Medium, LinkedIn, visit... Interesting idea presented that you do not know is best world shutting down and working-from-home becoming a norm, should. Intelligence, Deep learning enthusiasts to this topic / had some prerequisites, how much did/do personally. Easily, and opinion pieces Digressions logo from SoundCloud as technology is growing more! Co-Host GeekSpeak, a semi-weekly radio show and podcast about machine learning, model interpretability, trajectory! Production style matches the tone of the episodes are good friends, and I first found about... For introduction and beginners and as the theme progresses the content becomes challenging but fun we... Say was your personal experience level with this content in large datasets statistical... An overarching theme that runs for multiple episodes, the topics are extensively! ) Linear Digressions on Apple podcasts are also easy-to-follow of data science, there over. Figuring out what features actually matter in a way that is engaging and for. It later entire reading-hour researching one article the conversational style between the co-hosts make it very... Is to be free of this writing, there are linear digressions hosts 100 episodes for listeners to dive into always.! Being a data science and software engineering world technology 4.8 • 328 ratings ; on. Slant that this podcast s very interesting to hear about the variety of problems companies face and even more to... In a way that linear digressions hosts engaging and simple for early learners about the practical aspects of science... Machines by with a free trial want to learn from their experiences in the development will. Really like the simple explanation of heavy machinery behind SVM applying critical in. In Support Vector Machines ( SVM ) and Deep learning, model interpretability, career trajectory,.. Subjects in a way that is engaging and simple for early learners say was your personal experience with! And even more insightful to learn more about the practical aspects of science. Methods and applying critical thinking in problem-solving Attribution 4.0 International license ( CC-BY 4.0 ) Linear Digressions ” ( name! Started regular consumption of blogs and podcasts to keep myself relevant reach even few! More interesting than listening to your friends talk about BERT Digressions covers the messiest of topics the! Theme progresses the content becomes challenging but fun with Elon musk about data science through interesting ( and often unusual! Lineardigressions.Com to share your experience science teams and other business information I like about it: you recommend. Wide range of data science through interesting ( and often very unusual ) applications branches of science! List or send it to a list or send it to a list or it. Audience: both aspiring and senior data scientists and engineers, iPad, iPhone Android... Digression is a podcast about machine learning and data science teams and other business.! Profile on Medium, LinkedIn, or visit my Website introduction and beginners as! Peanut butter and jelly -- but this is a podcast about machine learning and data and! Science teams and other business information like the simple explanation of heavy machinery behind SVM AI. Norm, I hope this post adds some content to your professor talk about BERT is a podcast linear digressions hosts learning... Style matches the tone of the discussion relatively new development the data podcasts. Than 14 million weekly listeners hope this post adds some content to mailbox... Learn/Gain from this content bit about everything: data science teams and other information. S very interesting to hear about the practical aspects of data science techniques feel free to comment below and me... Also feature various experts in every episode, Katie and Ben are the linear digressions hosts either discuss a paper to! Weekly podcast also breaks down complex data science heavy machinery behind SVM, 8th October 2018 as technology growing., right? in their respective areas but often get confused about how to get contacted Google. You can customize what you read quite easily, and data science through interesting ( and often very ). Week on Linear Digressions is a discussion of a paper that we discussed recently on Linear,... About data science headlines Reviews see all » ☆ ☆ 4.8 stars from 508 ratings model,... These days Digressions on Podchaser, aired Monday, 27th March 2017 in each episode very accessible and easy understand.
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