The “banter” is truly awful
The main podcast is good. But, I have to skip the episodes where he talks to the female co-host as if she’s an idiot while she asks ridiculous questions and makes insipid comments. Honestly, she’s frequently repeating back something simple that he said as if it’s a deep mystery of the universe. i.e. Female co-host: “computer?” (Sounding utterly puzzled) Male host: “Yes, a computer” (launches into 10 minute explanation as if to a child). Then, often she will laugh or sigh or giggle for no apparent reason. I’ve wondered if she’s actually high when she talk so slow and giggles at random. If she’s not and this is scripted, pretty demeaning.
Good. Could be great.
Peaceful bird
This show is very good, but would be great if the co-host was more science-minded. As it stands, the mini episodes consist of Kyle explaining technical concepts to Linh Da, who is intended to be the layperson and prevent Kyle from getting too jargon-y. She is effective in that capacity. However, quite a bit of time gets wasted with arguments that would mostly not occur if Kyle were speaking to, say, a trained biologist, or even an attorney. Because it gets pretty annoying, I have to keep my listening of the show fairly sparse. Great show overall, and the deeper dives with guests are killer.
The wife ruins this podcast
This podcast has a lot of potential and good content, but the wife communication style (dumbing herself down, acting ditzy, almost seems drunk?) is distracting and uncomfortable. This is my first podcast review I just felt so compelled to write this. I understand the need to have a “non expert” dynamic, but dear god Linda stop. Bring a friend (female or male doesn’t matter) who’s at least a little interested / curious.
Bad Co-host
Dear god please stop having your wife on this podcast. It would be better to be alone on those episodes.
Why does he treat Linda like she’s dumb? It seems pretty clear that’s she’s artificially dumbing her questions down so he can string together terrible analogies, without a clear line of thought, and does not drive to a thesis. 25 minutes of classic mansplaining.
Just can’t listen to anything with Linh Da anymore
Episodes without her are good. I’ve tried to push through episodes with her but she just becomes so pedantic about the simplest of things the show just gets derailed and instead I’ve learned nothing about the topic. I realize what he is trying to do, but even people new to this field aren’t as ignorant as she pretends (hopefully) to be.
Very helpful and interesting
I am very new and was looking for data science podcast. But I am surprise to listen the variety of topics every week you have discussed. Still listening from 2014 podcast items. Can not wait myself to listen all. Great work. Thank you very much for all your hard work to make podcast for every week.
As an engineer looking to reinforce my knowledge of data science, I was very interested in the content of this podcast, but unfortunately the tone comes off as condescending and patronizing. It sounds like the husband is forcing his uninterested wife to listen to him drone on about work. Offputting and misogynistic. Also, I think the content is too simplistic sometimes because the woman is not interested in the material and therefore doesn't follow the explanations as well as the (presumably interested) audience, causing backtracking and over-explanation and over-simplification.
Deserves a 5 of 5 if...
Deserves a 5 out of 5 if it weren’t for Linduh. I’ve skipped so many episodes that could have been of great relevance to me, because of her. Kyle if possible, please recreate those episodes where Lindha was “co-hosting” so I can absorb your vast knowledge.
Great mix of basic stats and advanced ML conversations
Kyle makes the interviews very interesting. He asks great questions, mainly because he is very intelligent. I like the Mini episodes where Kyle and Linda (Kyle’s wife) cover fundamental statistic concepts. In the longer episodes Kyle interviews an expert in a certain field, which provides great tips on data science and machine learning models. Totally recommend if you have interest in improve your data science skill set.
New co-host is needed
Preston Rattle
The guy is good, the girl is absolutely dreadful. I spent two episodes trying to figure out if she has a gun to her head, forcing her to be a part of the podcast or not. Assuming she’s not a hostage, do yourselves a favor and find a better interlocutor.
Better guests
I love the host if the show. But listening to the Louvain method episode, the guest wasn’t there for an intellectual conversation and she didn’t enhance the conversation. Get someone to match your energy and align better on the intent.
Weird dynamic between cohosts
My (male) coworker recommended this podcast to me. I really enjoy Kyle’s well thought our explanations of algorithms, but why is the format his mansplaining them to his wife? Couldn’t get past one episode due to this.
stop the ditz female stereotype PLEASE
Would love to love this podcast. Would love to be able to actually finish listening to any of the episodes with Linh-Da, but it's intolerable listening to how ditzy she makes herself sound (I say make because I'm assuming this is intentional). As a woman in data science, it's hard enough to be taken seriously without having the stereotype that women are too dumb to work with numbers & computers perpetuated in a podcast that is meant to challenge conventional thought. Ugh, please please please let Linh-Da's character on the show be smart or just ommit her entirely. I want to like this podcast so badly.
Fantastic topics and information, horrendous co-host
I love the topics in this podcast and the simple, informative ways that Kyle explains the concepts. I would love this podcast and listen to it as much as possible if Linhda was not constantly being rude, negative and downright ignorant after every thoughtful thing he says. It’s sad. I was recommended the class by my Python probabilities professor and really wanted to like it. Have to unsubscribe. I can’t listen to it without wanting to scream at Linhda. Don’t bother unless you can handle an ignorant child constantly interjecting and giving incorrect information in between a fantastic lecture.
Awesome Podcast
As a wannabe data scientist, this is among the best data podcasts around. I particularly love the husband and wife banter.
Interesting and educational podcast
I love listening during my commute!
Perfect chemistry
Melissa Jayne Kinsey
What a treat to listen to Kyle Polich, his wife (Linh Da), and their guests. Kyle is a gifted teacher and communicator. Linh Da is a delightful foil for Kyle's explanations, declaring "Nnnope!" each time he asks if she's familiar with this or that idea. Kyle uses cornbread recipes to demonstrate experimental design and Yelp reviews to illustrate noisy data. He even uses bird poop as an example of k-means clustering. His explanations are completely unpretentious, and he's a great interviewer, to boot.
great topics, great explanations, but co-host is grating
I love the topics of this podcast, and the host is great. Unfortunately, I deleted it yesterday. The tone of the co-host makes for a bit too much uncomfortable negative tension in the show. I don't know if they pre-script what she (Linhda) as going to say, but the way she responds to Kyle's questions (by counterarguing in really dumb ways) is really distracting from the underlying messages he's trying to get through. I think if they could find a different co-host or find some way for her to support the show as opposed to detract from it, this would be just stellar. Kyle is awesome in his explanations, and they have great guests.
Data Skeptic.
You are brilliant in making hard to understand concepts accessible. A great diversity of topics on the show. Discussions are advanced, informative and host is very knowledgeable. The only constructive feedback.....please get a cohost who has some interest in the topic.
I really like both of the hosts in the mini episodes, they are really helpful introductions to data science!
Best data science podcast out there
Todd Morrill
I’ve been listening for about 2 years now and this is the best data science podcast out there. I’m cycling through all the content that came out years ago because it’s so good.
Real Insight and Understanding
Best place to understand developments in data science!
Clear explanations of modern data science topics!
I'm a beginner who is just dipping my toes in data science, and this show is absolutely perfect for me. Kyle and his wife Linda do a nice job combining real-world examples with complex data science concepts in an understandable way. The interviews with his guests are always thoughtful, sometimes quite advanced (but the topic is usually advanced), and even if I feel over-my-head, I always come away from each episode having learned something new. The show is heavy on the "data" and light on the "skeptic", at least for the episodes I've listened to, but I think it's a good mix most of the time. Keep up the great work Kyle and Linda! Looking forward to the upcoming AI episodes.
fascinating topics I didn't know I wanted to know about
I started from the beginning a couple weeks ago, so I'm still listening to the ones from 2014, but it's still applicable and it's awesome! I agree with a lot of the positive reviews here. in the podcast, Kyle and Linda asked for podcast reviews for support, and I wanted to show my support, so here it is! thank you!!! I learned about this podcast from lectures of coursera's first class of the "Applied Data Science with Python" specialization, "Introduction to Data Science in Python". yay!
Nice work
Maan! I love this podcast. The best on about a lot of good things in data analytics.
Really great
The mini episodes and interviews are a good combination.
Very insightful and entertaining
A coworker told me about this podcast and now Kyle, Lynda and their guests are my companion through my morning commute. The information is very interesting. I don't consider myself to be a data scientist, and I find the topics/conversations very easy to follow. Working in data analytics This podcast has helped me learn more about predictive analytics and machine learning techniques. I love the mini episodes, very smart way to explain complex data science concepts in layman terms. The recordings are very clean especially the latest episodes. in my opinion the editing sometimes makes the conversations flow a bit faster and makes it sound a bit robotic!, still that doesn't take much from the value of the podcast. He also includes different initiatives and projects that are worth checking out for those interested in data analysis and machine learning. Keep up the good work!
One of my favorites
DS includes short and full length episodes. The show is hosted by Kyle, with Linda popping in regularly as a way of keeping the explanations honestly accessible. Tr podcast also features interviews with practitioners/ experts. The podcast is charming and fills a unique niche among other data science podcasts. Strikes a good balance between depth and accessibility, and always interesting and entertaining.
A must for anyone interested in the topic
I highly recommend data skeptic to both experts and newbies of the field of data science. For newbies, it helps keep up the pace and get the intuition behind different aspects of data science. For experts, it helps staying up to date and revisit (rethink) useful tools, methods and trends. Data skeptic team, keep up the good work 👏
You're marketing to a crowd that does not exist
Guys (producers), for the love of god, look more closely are the one-star reviews. They have something in common. You spent 5 minutes of a 15-minute episode on activation functions taking about baking. I get your intent but the layperson will never want to learn about activation functions. Get rid of the "dumb it down" approach and go all in. What you're doing remains incomprehensible to the layperson and unbearable to the technically inclined and really want to learn. I love the idea and really hope you change your approach.
Mostly works, sometimes not
Kyle is a master of finding analogies to explain complex topics in simple language. He is a great interviewer and selector of guests. On the other hand, his wife and co-host Linh Da is a stocastic variable. Sometimes she is the perfect foil and others she seems to have her own agenda in the discussion, and as a result, the two seem to be at odds on where the narrative should lead. Perhaps she is just being skeptical of Kyle's approach. Still this is a very well done podcast, and one that I will continue to follow.
Excellent content and delivery
Open ones
Love listening to this podcast each week. Love the back and forth and the way they he presents the information. Hope he keeps it goin.
Too much mansplaining in mini episodes
This podcast has so much potential, but I can't stand the interaction between Kyle and Linda in the mini episodes. Would be so much better to just explain the concept, or at least take away the mansplaining element by having an intelligent conversation between two cohosts on an even footing.
Great podcast
Great conversations and examples. Funny dynamic with wife. Enjoyable and educational. Episode numbers would be a nice to have. Thanks for the great conversations!
Great mix of relevant data science topics. Love the humor!!!!
Good info
I rated this a 5 for content. I'm beginning my Data Science investigations here and a few other places, the talks are good and the mini-episodes are nice to explain concepts I haven't studied yet. There's a LOT of popping that could have been fixed with pop filters and this is really disappointing as it makes the conversations jaring at times. The mini episode format is Kyle explaing to Linda topics with the intent of helping a non-STEM person understand the concepts. Linda doesn't seem to take it seriously and as a result it's difficult to listen to. It's good info though, so I stick through it.
Not always accurate, sometimes distasteful dynamic
The premise of the MINI episodes is Kyle explaining a concept to his wife. From the content perspective, the choice of topics is interesting, but I find the way Kyle gets into them to lack focus (e.g. what will our pet bird do?) and he can often fall into misinterpretation traps (e.g. confidence intervals). Usually the problems with a given method are not discussed or explored. From the delivery perspective, the dynamic is off-putting and rehearses stereotypes of the quantatitively expert man and his dumb woman. Kyle's explanatory style comes off as condescending and Linh Da takes the role of dumb layperson (e.g. paraphrased: "ANOVA! What do you think that means?", "I really don't have any idea. That word sounds funny.", "Yeah, well ok, let's say you were throwing one of your great parties..."). Sometimes Linh Da has an interesting layperson's angle or an insightful question, but they aren't incorporated in a way that let's Kyle dig deeper into the topic.
Interesting and Simple
I love how the host simplifies very complex information into easy to understand metaphors and explanations. I have an MS in Statistics and actively work as a statistician but struggle finding ways to explain my work to my artistically-minded boyfriend. This show has helped me find relate my work to him as well as understand other concepts better myself. I've only listened to the show through 2014 so far because I wanted to backtrack and listen to everything I missed before diving into the deep learning sessions he's currently doing. I'm listening to a show or two a day because it's just so interesting!
Podcast Not to Miss
Fantastic podcast. The combination of science and art is a gem!
Provided great information in an easy to understand format.
Great job!
A good way to get the basics
I have been interested in analytics for a couple of years now. I have done a bit of reading but was looking for a way to get more information during my commute when I can't read. I came across this podcast and after listening to the most current 4 or 5 episodes, I decided to start from the beginning. I like the short and long format. The short episodes give an understandable overview of a topic. Long episodes bring in interesting interviews with people working in this field. I have to admit that some of those interviews are over my head. But who knows, maybe i'll understand them at some point.
Excellent, Entertaining and Informative
I have only recently discovered Kyle's podcast, and it is an incredible resource now for me. I am once again a student, this time going for a second master's in computer science with a focus on data science, and I am working my way through all of the episodes. I listen to them in the car, on my runs, and any other time i have focused time to learn. I really enjoy both formats, and its great that Kyle mixes it up, one week as an interview, and one week as a teaching episode. In my coursework I have often referred back to Kyle's teaching episodes to help me better understand various different statistics. Many of my favorite episodes are the interviews. I have learned so much from the different guests, every one I have listened to so far is just fascinating. I havealso started reading the blog now, and it too is just a wealth of helpful information. Thanks so much for doing this and keep at it.
Great way to learn data science
Kyle and Linhda are a great pair of hosts and their dialogue is a beautiful way to learn otherwise abstract data science and statistical concepts. Even for concepts I already know, I find their take on it thought provoking and interesting.
Causal impact
Data skeptic is quickly becoming one of my favorite data analysis podcast along side anything by Riley TWMIL
Thank you for the Holiday Special
As a subscriber and regular listener I decided to take a break from all technology related podcasts over the holiday break, but then noticed that you had used it to promote Asimov's Franchise. What a great idea, and what a great short story that I had somehow missed. Am looking forwards to the next regular installment, you're doing a great job.
Maybe it's a generational thing, but
What's up with the groggy talk and slurred speech? I like the content when it comes around, but so much chitchat.
Either she's growing on me or....
Ok. I used to think Linda was so annoying, I could barely get through episodes with her in them. Either she's growing on me or she's changed her mannerisms on the show, but I am definitely enjoying it a lot more as of late!!
Enjoyable and informative data science podcast
I'm enjoying this podcast, especially the episodes with Kyle and Linhda. It's nice to hear Linhda's business experiences used to illustrate the data science topic being discussed.
Great host, but the wife...
When you are listening to a subject you love and have to endure someone receiving teaching who is not only clueless but genuinely not interested... it is painful. It could work with someone who cared more. Great host, vapid wife.
      0:00:00 / 0:00:00