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Zhong wai da xue jiao xue fa zhan zhong xin yan jiu = Research on teaching and learning centers of Chinese and foreign research universities / zhu bian Wang Xia ; fu zhu bian Cui Jun




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How we learn where we live: Thomas Bernhard, architecture, and bildung / Fatima Naqvi

Hayden Library - PT2662.E7 Z7873 2016




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Tracking aquatic animals, cochlear implants, and a news roundup

Sara Iverson discusses how telemetry has transformed the study of animal behavior in aquatic ecosystems, and Monita Chatterjee discusses the impact of cochlear implants on the ability to recognize emotion in voices, and David Grimm discusses daily news stories with Sarah Crespi. Hosted by Susanne Bard. [Img: © marinesavers.com]




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Artificial intelligence programs that learn concepts based on just a few examples and a daily news roundup

Brenden Lake discusses a new computational model that rivals the human ability to learn new concepts based on just a single example; David Grimm talks about attracting cockroaches, searching for habitable planets, and looking to street dogs to learn about domestication. Hosted by Susanne Bard. [Img: Rodrigo Basaure CC BY 2.0, via flickr]




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Podcast: Nuclear forensics, honesty in a sea of lies, and how sliced meat drove human evolution

Online News Editor David Grimm shares stories on the influence of governmental corruption on the honesty of individuals, what happened when our ancestors cut back on the amount of time spent chewing food, and how plants use sand to grind herbivores‘ gears.   Science’s International News Editor Rich Stone joins host Sarah Crespi to discuss his forensics story on how to track down the culprits after a nuclear detonation.   [Image: Miroslav Boskov]




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Podcast: Watching shoes untie, Cassini’s last dive through the breath of a cryovolcano, and how human bias influences machine learning

This week, walk like an elephant—very far, with seeds in your guts, Cassini’s mission to Saturn wraps up with news on the habitability of its icy moon Enceladus, and how our shoes manage to untie themselves with Online News Editor David Grimm. Aylin Caliskan joins Sarah Crespi to discuss how biases in our writing may be perpetuated by the machines that learn from them. Listen to previous podcasts. Download the show transcript. Transcripts courtesy of Scribie.com. [Image: NASA/JPL-Caltech; Music: Jeffrey Cook]




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Podcast: When good lions go bad, listening to meteor crashes, and how humans learn to change the world

This week, meteors’ hiss may come from radio waves, pigeons that build on the wings of those that came before, and a potential answer to the century-old mystery of what turned two lions into people eaters with Online News Editor David Grimm. Elise Amel joins Julia Rosen to discuss the role of evolution and psychology in humans’ ability to overcome norms and change the world, as part of a special issue on conservation this week in Science. Listen to previous podcasts. Download the show transcript  Transcripts courtesy Scribie.com  [Image: bjdlzx/iStockphoto; Music: Jeffrey Cook]




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Following 1000 people for decades to learn about the interplay of health, environment, and temperament, and investigating why naked mole rats don’t seem to age

David Grimm—online news editor for Science—talks with Sarah Crespi about the chance a naked mole rat could die at any one moment. Surprisingly, the probability a naked mole rat will die does not go up as it gets older. Researchers are looking at the biology of these fascinating animals for clues to their seeming lack of aging. Sarah also interviews freelancer Douglas Starr about his feature story on the Dunedin Multidisciplinary Health and Development Study—a comprehensive study of the lives of all the babies born in 1 year in a New Zealand hospital. Starr talks about the many insights that have come out of this work—including new understandings of criminality, drug addiction, and mental illness—and the research to be done in the future as the 1000-person cohort begins to enter its fifth decade. Listen to previous podcasts. [Image: Tim Evanson/Flickr/CC BY-SA 2.0; Music: Jeffrey Cook]




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Why the platypus gave up suckling, and how gravity waves clear clouds

Suckling mothers milk is a pretty basic feature of being a mammal. Humans do it. Possums do it. But monotremes such as the platypus and echidna—although still mammals—gave up suckling long ago. Instead, they lap at milky patches on their mothers’ skin to get early sustenance. Science News Writer Gretchen Vogel talks with host Sarah Crespi about the newest suckling science—it turns out monotremes probably had suckling ancestors, but gave it up for the ability to grind up tasty, hard-shelled, river-dwelling creatures. Sarah also talks with Sandra Yuter of North Carolina State University in Raleigh about her work on fast-clearing clouds off the southwest coast of Africa. These immense marine layers appear to be exiting the coastal regions under the influence of gravity waves (not to be confused with gravitational waves). This finding can help scientists better model cloud behavior, particularly with respect to their influence on global temperatures. This week’s episode was edited by Podigy. Download a transcript of this episode (PDF) Listen to previous podcasts. [Image: North Carolina State University]    




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What we can learn from a cluster of people with an inherited intellectual disability, and questioning how sustainable green lawns are in dry places

A small isolated town in Colombia is home to a large cluster of people with fragile X syndrome—a genetic disorder that leads to intellectual disability, physical abnormalities, and sometimes autism. Spectrum staff reporter Hannah Furfaro joins host Sarah Crespi to discuss the history of fragile X in the town of Ricaurte and the future of the people who live there. Also this week, we talk about greening up grass. Lawns of green grass pervade urban areas all around the world, regardless of climate, but the cost of maintaining them may outweigh their benefits. Host Meagan Cantwell talks with Maria Ignatieva of The University of Western Australia in Perth and the Swedish University of Agricultural Sciences in Uppsala about how lawns can be transformed to contribute to a more sustainable future. This week’s episode was edited by Podigy. Download a transcript of this episode (PDF) Listen to previous podcasts. About the Science Podcast [Image: Adam Kerfoot-Roberts/Flickr; Music: Jeffrey Cook]




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Next-generation cellphone signals could interfere with weather forecasts, and monitoring smoke from wildfires to model nuclear winter

In recent months, telecommunications companies in the United States have purchased a new part of the spectrum for use in 5G cellphone networks. Weather forecasters are concerned that these powerful signals could swamp out weaker signals from water vapor—which are in a nearby band and important for weather prediction. Freelance science writer Gabriel Popkin joins host Sarah Crespi to talk about the possible impact of cellphone signals on weather forecasting and some suggested regulations. In other weather news this week, Sarah talks with Pengfei Yu, a professor at Jinan University in Guangzhou, China, about his group’s work using a huge smoke plume from the 2017 wildfires in western Canada as a model for smoke from nuclear bombs. They found the wildfire smoke lofted itself 23 kilometers into the stratosphere, spread across the Northern Hemisphere, and took 8 months to dissipate, which line up with models of nuclear winter and suggests these fires can help predict the results of a nuclear war. This week’s episode was edited by Podigy. Ads on this week’s show: KiwiCo.com Download the transcript (PDF)  Listen to previous podcasts. About the Science Podcast




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A deep learning approach to identify association of disease–gene using information of disease symptoms and protein sequences

Anal. Methods, 2020, 12,2016-2026
DOI: 10.1039/C9AY02333J, Paper
Xingyu Chen, Qixing Huang, Yang Wang, Jinlong Li, Haiyan Liu, Yun Xie, Zong Dai, Xiaoyong Zou, Zhanchao Li
Prediction of disease–gene association based on a deep convolutional neural network.
The content of this RSS Feed (c) The Royal Society of Chemistry




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Learning Regression Analysis by Simulation [electronic resource] / by Kunio Takezawa

Tokyo : Springer Japan : Imprint: Springer, 2014




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Computing essentials 2017 : making IT work for you / Timothy J. O'Leary, Linda I. O'Leary, Daniel A. O'Leary

O'Leary, Timothy J., 1947- author




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Machine learning for signal processing : data science, algorithms, and computational statistics / Max A. Little

Little, Max A., author




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Handbook of research on machine and deep learning applications for cyber security / [edited by] Padmavathi Ganapathi and D. Shanmugapriya




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Iterative learning control for flexible structures Tingting Meng, Wei He

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Learn QGIS : your step-by-step guide to the fundamental of QGIS 3.4 / Andrew Cutts, Anita Graser

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[ASAP] Tandem NMR and Mass Spectrometry Analysis of Human Nuclear Membrane Lipids

Analytical Chemistry
DOI: 10.1021/acs.analchem.9b05052




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[ASAP] Correction of <italic toggle="yes">Q</italic> Factor Effects for Simultaneous Collection of Elemental Analysis and Relaxation Times by Nuclear Magnetic Resonance

Analytical Chemistry
DOI: 10.1021/acs.analchem.9b05603




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Woman Dismayed to Learn Plant She Tended is Plastic

Caelie Wilkes was proud of her little succulent plant. But just when she was ready to take the next step in caring for it, she realized her efforts were all for naught. Wilkes said, “I was so proud of this plant. It was full, beautiful coloring, just an overall perfect plant … I had a watering ...




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‘We must learn to live with the coronavirus,’ says health ministry

The ministry said it was possible that with adherence to physical distancing norms and aggressive containment, India may never hit the peak.




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[ASAP] Using Machine Learning to Predict the Dissociation Energy of Organic Carbonyls

The Journal of Physical Chemistry A
DOI: 10.1021/acs.jpca.0c01280




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[ASAP] Computational Evidence for Homonuclear Ge<sup>I</sup>Ge<sup>I</sup> Dative Bonds

The Journal of Physical Chemistry A
DOI: 10.1021/acs.jpca.9b11665




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Assistive Technology Services for Youth in the Vermont Linking Learning to Careers Program

The Vermont Division of Vocational Rehabilitation’s Linking Learning to Careers (LLC) program provides enhanced services to help high school students with disabilities as they make the transition to careers or postsecondary education. These enhanced services include access to assistive technology.




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Coordinating Parenting Time and Child Support: Experiences and Lessons Learned from Three States (Issue Brief)

This issue brief reports on how three states coordinate the establishment and enforcement of parenting time with child support establishment activities.




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Putting Rigorous Evidence Within Reach: Lessons Learned from the New Heights Evaluation

This article uses an evaluation of New Heights, a school-based program for pregnant and parenting teens in the District of Columbia Public Schools, to illustrate how maternal and child health programs can obtain rigorous evaluations at reasonable cost using extant administrative data.




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Machine learning in aquaculture: hunger classification of Lates Calcarifer / Mohd Azraai Mohd Razman, Anwar P. P. Abdul Majeed, Rabiu Muazu Musa, Zahari Taha, Gian-Antonio Susto, Yukinori Mukai

Online Resource




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PIX: What kids learned during the lockdown

Rediff readers sent us these pictures to show how their kids are making the most of the lockdown.




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Learning one's native tongue: citizenship, contestation, and conflict in America / Tracy B. Strong

Dewey Library - JK1759.S87 2019




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The end of strategic stability?: Nuclear weapons and the challenge of regional rivalries / Lawrence Rubin and Adam N. Stulberg, editors

Dewey Library - U263.E557 2018




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Clearer than truth: the polygraph and the American Cold War / John Philipp Baesler

Dewey Library - JK468.L5 B34 2018




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Wales and the bomb: the role of Welsh scientists and engineers in the British nuclear programme / John Baylis

Dewey Library - U264.5.G7 B39 2019




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Disarming Doomsday: the human impact of nuclear weapons since Hiroshima / Becky Alexis-Martin

Dewey Library - U263.A44 2019




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India's nuclear proliferation policy: the impact of secrecy on decision making, 1980-2010 / Gaurav Kampani

Dewey Library - UA840.K245 2020




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United Andhra leaders call for bandh today as Cabinet clears Telangana formation

Congress MPs, MLAs from Seemandhra say Cabinet move was hasty.




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Besides giving statutory status to UIDAI, the Bill seeks to provide legal backing to Aadhaar.




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Power generation resumes at Kudankulam Nuclear Power plant

First unit was shut down on October 29 for the second time in a week for some tests.




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Six killed in blast near Kudankulam nuclear plant, security stepped up

Safety arrangements have been stepped up at the nuclear plant following the blast.




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Indigenous fighter aircraft Tejas step closer to induction, gets IOC-II clearance

Tejas to be inducted 30 years after its sanction, cost of project estimated around Rs 25,000 crore.




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Extending the Scalability of Linkage Learning Genetic Algorithms [electronic resource] / Ying-ping Chen

Secaucus : Springer, 2006




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Advances in human factors in energy : oil, gas, nuclear and electric power industries : proceedings of the AHFE 2017 International Conference on Human Factors in Energy: Oil, Gas, Nuclear and Electric Power Industries, July 17-21, 2017, The Westin Bonaven

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Dutta, Sujay Kumar, author




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030 JSJ Learning & Teaching JavaScript with Noel Rappin

Panel Noel Rappin (twitter github blog) Jamison Dance (twitter github blog) Charles Max Wood (twitter github Teach Me To Code Intro to CoffeeScript) AJ O’Neal (twitter github blog) Discussion 00:52 - Works in training and talent development for Groupon 00:56 - Author of Rails Test Prescriptions and upcoming Master Space and Time with JavaScript 01:21 - Writing a book about JavaScript 02:33 - Focus of the book Part 1: Jasmine and jQuery and the JavaScript Object Model Part 2: Extended examples of jQuery Part 3: Backbone Part 4: Ember 03:46 - Self-published authors 05:15 - Approaches and mindsets to learning JavaScript 06:04 - “Gotchas!” and bad features in Javascript 09:17 - Modeling JavaScript for beginners 11:23 - (AJ joins the podcast) 11:42 - Resources/Classes for learning JavaScript Good Parts Book: Douglas Crockford JavaScript Patterns: Stoyan Stefanov Eloquent JavaScript: A Modern Introduction to Programming: Marijn Haverbeke Maintainable JavaScript: Nicholas C. Zakas 13:54 - Hiring people with JavaScript experience at Groupon 15:12 - Training workshops 17:00 - Getting new hires up to speed quickly Pairing Mentoring Lectures Workshops 21:38 - Book Learning You can learn at your own pace But it’s hard to ask questions to a book 22:51 - How Noel gained expertise in JavaScript 24:38 - Code reading and learning to program a language 26:18 - Teaching people JavaScript as their very first language 31:55 - Classroom layout 33:42 - Online training Kahn Academy Computer Science Code Academy Starter League 40:00 - Finding a mentor Stack Overflow Picks Shrines by Purity Ring (Jamison) Learnable Programming: Bret Victor (Jamison) Mob Software: Richard P. Gabriel & Ron Goldman (Jamison) Monoprice.com (AJ) ZREO: Zelda Reorchestrated (AJ) The Official Twitter App (Chuck) Fluid App (Chuck) Try Jasmine! (Noel) Justin Searls (Noel) The Atrocity Archives: Charles Stross (Noel) Futurity: A Musical by The Lisps (Noel) Transcript NOEL: I’m trying to figure out where the chat is in this stupid Skype interface. JAMISON: Just imagine the worst place it could possibly be and that’s where it is. [This episode is sponsored by ComponentOne, makers of Wijmo. If you need stunning UI elements or awesome graphs and charts, then go to wijmo.com and check them out.] [Hosting and bandwidth provided by The Blue Box Group. Check them out at bluebox.net] CHUCK: Hey everybody and welcome to Episode 30 of the JavaScript Jabber show! This week on our panel we have, Jamison Dance. JAMISON: Hey guys! CHUCK: I’m Charles Max Wood from devchat.tv and this week, we have a special guest and that’s Noel Rappin! NOEL: Hey everybody! CHUCK: For the people who don’t know who you are, you want to introduce yourself, Noel? NOEL:  Sure. I currently work in training and talent development for Groupon. And I am the author of previously “Rails Test Prescriptions” and currently a self-published book called “Master Time and Space with JavaScript”, which you can get at noelrappin.com. I need to spell that out, right? N-o-e-l-r-a-p-p-i-n.com CHUCK: So I’m little curious, before we get into the topic which is learning and teaching JavaScript, how did you get into writing a book about JavaScript? What’s your background there? NOEL: You know, it actually relates to teaching and learning JavaScript. I think, I was like… a lot of long time web devs. I spent my first round as a web consultant in around, turn of the century 2000’s. I spent time trying to talk clients out of JavaScript stuff because it was such a pain in the neck. And I kind of got away from it for awhile and came back a couple of years ago to realize that basically, everything had changed and they were actually usable tools now. And last summer, I was working with a… at that time,




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173 JSJ Online Learning with Gregg Pollack

Check out Angular Remote Conf!

 

02:55 - Gregg Pollack Introduction

05:19 - Code School

06:49 - Course Content

09:42 - Plots & Storylines

11:40 - Code School vs Pluralsight

14:09 - Structuring Courses

18:21 - JavaScript.com

22:47 - Designing Exercises & Challenges

30:31 - The Future of Online Learning

34:01 - Teaching Best Practices

Picks

Mr. Robot (Gregg)
#ILookLikeAnEngineer (Aimee)
Why we Need WebAssembly An Interview with Brendan Eich (Aimee)
Raspberry Pi 2 Model B (AJ)
Periscope (Chuck)




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219 JSJ Learning JavaScript in 2016

Check out Newbie Remote Conf!

 

02:44 - What it Takes to Learn JavaScript in 2016

04:03 - Resources: Then vs Now

09:42 - Are there prerequisites? Should you have experience?

20:34 - Choosing What to Learn

28:19 - Deciding What to Learn Next

31:19 - Keeping Up: Obligations As a Developer

34:22 - Deciding What to Learn Next (Cont’d)

42:01 - Recommendations

 

Picks




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JSJ 278 Machine Learning with Tyler Renelle

Tweet this Episode

Tyler Renelle is a contractor and developer who has worked in various web technologies like Node, Angular, Rails, and much more. He's also build machine learning backends in Python (Flask), Tensorflow, and Neural Networks.

The JavaScript Jabber panel dives into Machine Learning with Tyler Renelle. Specifically, they go into what is emerging in machine learning and artificial intelligence and what that means for programmers and programming jobs.

This episode dives into:

  • Whether machine learning will replace programming jobs
  • Economic automation
  • Which platforms and languages to use to get into machine learning
  • and much, much more...

Links:

Picks:

Aimee

AJ

Joe

Tyler




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JSJ 299: How To Learn JavaScript When You're Not a Developer with Chris Ferdinandi

Panel: 

AJ O’Neal

Joe Eames

Aimee Knight

Special Guests: Chris Ferdinandi

In this episode, JavaScript Jabber panelist speak with Chris Ferdinandi. Chris teaches vanilla JavaScript to beginners and those coming from a design background. Chris mentions his background in Web design and Web Develop that led him JavaScript development. Chris and the JSJ panelist discuss the best ways to learn JavaScript, as well as resources for learning JavaScript. Also, some discussion of technologies that work in conjunction with vanilla JavaScript.

In particular, we dive pretty deep on:

  • Teaching JavaScript - Beginners and Design patrons
  • Web Design and Web Development
  • CSS Tricks 
  • Todd Motto
  • How to do jQuery Things without jQuery
  • Doing things like mentors (Todd)
  • When JavaScript makes sense.
  • CSS is easier to learn then JS?
  • Being good at CSS and JS at the same time?
  • How about Node developers?
  • jRuby, DOM
  • Documentation
  • And much more!

Links:

Picks:

AJ

Aimee

Joe

Chris




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JSJ 332: “You Learned JavaScript, Now What?” with Chris Heilmann

Panel:

Special Guests: Chris Heilmann

In this episode, the panel talks with programmer, Chris Heilmann. He has written books about JavaScript, in addition to writing a blog about it and is an educator about this program.  He currently resides in Berlin, Germany. Let’s welcome our special guest and listen to today’s episode!

Show Topics:

2:19 – Chuck talks.

2:41 – Chris: He has talked about JavaScript in Berlin upon an invitation. You can get five different suggestions about how to use JavaScript. The best practices, I have found, are on the projects I am on now. JavaScript was built in ten days. My goal is to help people navigate through JavaScript and help them feel not disenfranchised. 

5:47 – Aimee: The overall theme is...

5:54 – Panelist: I really like what you said about helping people not feeling disenfranchised.

6:47 – Chris: There is a lot of peer pressure at peer conferences

7:30 – Aimee chimes in with some comments.

7:50: Chris: I think we need to hunt the person down that put...

8:03 – Panelist: A good point to that is, I try to avoid comments like, “Well, like we ALL know...”

8:27 – Chris: There are things NOT to say on stage. It happens, but we don’t want to say certain things while we are teaching people. We are building products with different groups, so keep that in mind.

9:40 – Aimee: My experience in doing this is that I have found it very rewarding to share embarrassing experiences that I’ve had. My advice would to tell people to let their guard down. It’s encouraging for me.

10:26 – Chris: It helps to show that you are vulnerable and show that you are still learning, too. We are all learning together. 90% of our job is communicating with others.

11:05 – Chuck: Now, I do want to ask this...

11:35 – Chris answers.

12:24 – What makes you say that? (Question to Chris)

12:25 – Chris answers.

13:55 – Chuck: The different systems out there are either widely distributed or...

You will have to work with other people. There is no way that people can make that on their own. If you can’t work with other people, then you are a hindrance.

14:31 – Aimee chimes in.

14:53 – Chris: They have to be very self-assured. I want to do things that are at the next level. Each developer has his or her own story. I want to move up the chain, so I want to make sure these developers are self-assured.

16:07 – Chris: Back to the article...

18:26 – Chuck: Yes, I agree. Why go and fight creating a whole system when it exists.

18:54 – Chris chimes in with some comments.

19:38 – Panelist: I still use console logs.

19:48 – Chris: We all do, but we have to...

19:55 – Aimee: In the past year, I can’t tell you how much I rely on this. Do I use Angular? Do I learn Vue? All those things that you can focus on – tools.

10:21 – Chris: We are talking about the ethics of interfaces. Good code is about accessibility, privacy and maintainability, among others. Everything else is sugar on top. We are building products for other people.

22:10 – Chuck: That is the interesting message in your post, and that you are saying: having a deep, solid knowledge of React (that is sort of a status thing...). It is other things that really do matter. It’s the impact we are having. It’s those things that will make the difference. Those things people will want to work with and solves their problems.

23:00 – Chris adds his comments. He talks about Flash.

24:05 – Chris: The librarian motto: “I don’t know everything, but I can look “here” to find the answer.” We don’t know everything.

24:31 – Aimee: Learn how to learn.

24:50 – Chris: There is a big gap in the market. Scratch is a cool tool and it’s these puzzle pieces you put together. It was hard for me to use that system. No, I don’t want to do that. But if you teach the kids these tools then that’s good. 

24:56 – Chuck: Here is the link, and all I had to do was write React components.

26:12 – Chris: My first laptop was 5x more heavy then this one is. Having access to the Internet is a blessing.

27:24 – Advertisement

28:21 – Chuck: Let’s bring this back around. If someone has gone through boot camp, you are recommending that they get use to know their editor, debugging, etc.

Chris: 28:47 – Chris: Yes, get involved within your community. GitHub. This is a community effort. You can help. Writing code from scratch is not that necessary anymore. Why rebuild something if it works. Why fix it if it’s not broken?

31:00 – Chuck talks about his experience.

31:13 – Chris continues his thoughts.

Chris: Start growing a community.

32:01 – Chuck: What ways can people get involved within their community?

32:13 – Chris: Meetup. There are a lot of opportunities out there. Just going online and seeing where the conferences

34:08 – Chris: It’s interesting when I coach people on public speaking. Sharing your knowledge and learning experience is great!

34:50 – Chuck: If they are learning how to code then...by interacting with people you can get closer to what you need/want.

35:30 – Chris continues this conversation.

35:49 – Chris: You can be the person that helps with x, y, z. Just by getting your name known then you can get a job offer.

36:23 – Chuck: How do you find out what is really good content – what’s worth your time vs. what’s not worth your time?

36:36 –Chris says, “That’s tricky!” Chris answers the question.

37:19: Chris: The best things out there right now is...

38:45 – Chuck: Anything else that people want to bring up?

39:00 – Chris continues to talk.

42:26 – Aimee adds in her thoughts.

Aimee: I would encourage people to...

43:00 – Chris continues the conversation.

Chris: Each project is different, when I build a web app is different then when I build a...

45:07 – Panelist: I agree. You talked about abstractions that don’t go away. You use abstractions in what you use. At some point, it’s safe to rly on this abstraction, but not this one. People may ask themselves: maybe CoffeeScript wasn’t the best thing for me.

46:11 – Chris comments and refers to jQuery.

48:58 – Chris continues the conversation.

Chris: I used to work on eight different projects and they worked on different interfaces. I learned about these different environments. This is the project we are now using, and this will like it for the end of time. This is where abstractions are the weird thing. What was the use of the abstraction if it doesn’t have longevity? I think we are building things too soon and too fast.

51:04 – Chris: When I work in browsers and come up with brand new stuff.

52:21 – Panelist: Your points are great, but there are some additional things we need to talk about. Let’s take jQuery as an example. There is a strong argument that if you misuse the browser...

53:45 – Chris: The main issue I have with jQuery is that people get an immediate satisfaction. What do we do besides this?

55:58 – Panelist asks Chris further questions.

56:25 – Chris answers.

Chris: There are highly frequent websites that aren’t being maintained and they aren’t maintainable anymore.

57:09 – Panelist: Prototypes were invented because...

57:51 – Chris: It’s a 20/20 thing.

58:04 – Panelist: Same thing can be said about the Y2K.

58:20 – Panelist: Yes, they had to solve that problem that day. The reality is...

58:44 – Chris: We learned from that whole experience.

1:00:51 – Chris: There was a lot of fluff around it.

1:01:35 – Panelist: Being able to see the future would be a very helpful thing.

1:01:43 – Chris continues the conversation.

1:02:44 – Chuck: How do people get ahold of you?

1:03:04 – Twitter is probably the best way.

1:03:32 – Let’s go to picks!

1:03:36 - Advertisement

Links:

Sponsors:

Picks :

Amiee

AJ

Joe

Charles

Chris




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JSJ 405: Machine Learning with Gant Laborde

Gant Laborde is the Chief Innovation Officer of Infinite Red who is working on a course for beginners on machine learning. There is a lot of gatekeeping with machine learning, and this attitude that only people with PhDs should touch it. In spite of this, Gant thinks that in the next 5 years everyone will be using machine learning, and that it will be pioneered by web developers. One of the strong points of the web is experimentation, and Gant contrasts this to the academic approach. 

They conversation turns to Gant’s course on machine learning and how it is structured. He stresses the importance of understanding unicode, assembly, and other higher concepts. In his course he gives you the resources to go deeper and talks about libraries and frameworks available that can get you started right away. His first lesson is a splashdown into the jargon of machine learning, which he maps over into developer terms. After a little JavaScript kung fu, he takes some tools that are already out there and converts it into a website.

Chris and Gant discuss some different uses for machine learning and how it can improve development. One of the biggest applications they see is to train the computers to figure monotonous tasks out while the human beings focus on other projects, such as watching security camera footage and identifying images. Gant restates his belief that in the next 5 years, AI will be everywhere. People will grab the boring things first, then they will go for the exciting things. Gant talks about his creation NSFW.js, an open source train model to help you catch indecent content. He and Chris discuss different applications for this technology.

Next, the panel discusses where machine learning can be seen in everyday life, especially in big companies such as Google. They cite completing your sentences in an email for you as an example of machine learning. They talk about the ethics of machine learning, especially concerning security and personal data. They anticipate that the next problem is edge devices for AI, and this is where JavaScript really comes in, because security and privacy concerns require a developer mindset. They also believe that personal assistant devices, like those from Amazon and Google, will become even more personal through machine learning. They talk about some of the ways that personal assistant devices will improve through machine learning, such as recognizing your voice or understanding your accent. 

Their next topic of discussion is authenticity, and how computers are actually incredibly good at finding deep fakes. They discuss the practice of placing passed away people into movies as one of the applications of machine learning, and the ethics surrounding that. Since developers tend to be worried about inclusions, ethics, and the implications of things, Gant believes that these are the people he wants to have control over what AI is going to do to help build a more conscious data set. 

The show concludes with Gant talking about the resources to help you get started with machine learning. He is a panelist on upcoming DevChat show, Adventures in Machine Learning. He has worked with people with all kinds of skill sets and has found that it doesn’t matter how much you know, it matters how interested and passionate you are about learning. If you’re willing to put the pedal to the metal for at least a month, you can come out with a basic understanding. Chris and Gant talk about Tensorflow, which helps you take care of machine learning at a higher level for fast operations without calculus. Gant is working on putting together a course on Tensorflow. If you’re interested in machine learning, go to academy.infinite.red to sign up for Gant’s course. He also announces that they will be having a sale on Black Friday and Cyber Monday.

Panelists

  • Christopher Buecheler

With special guest: Gant Laborde

Sponsors

Links

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