updated 5 years ago
Let's find out with 🐶 Jason Yee, a Staff Advocate @ Datadog!
Well let's ask Taylor Desseyn, our special guest of this livetream!
Whether you’re in the process of getting a job in tech or are looking to elevate your existing career, you’ll have something to take away from this session.
We’ll also have food and drinks ready for you so that your stomach is satisfied by the end of the event, not just your mind.
About our speakers:
Qingyue(Annie) Wang, Software Engineer & Career Coach at Google
Opening Keynote: Giving and Receiving Effective Feedback
Jennifer Chou, Growth Marketer at EntryLevel
Topic: Finding a career in tech you can be passionate about
Leejoo Hwang, Founder of Novus
Topic: Launching projects & startups fast
Kasey Fu, Product Manager at Planview (prev Microsoft)
Topic: Future of product management with AI
YK Sugi, Founder of CS Dojo / Senior Developer Advocate at Propel
Closing Keynote: The present and future of coding with AI
This is the first mini-conf that we're organizing with talks from industry experts as well as a chance for you to meet and network with fellow passionate techies from Greater Vancouver.
Whether you're just getting started on your tech journey or you're a seasoned professional with many years of experience, you will have something you can take away from this session.
## About the speakers
YK Sugi, Senior Developer Advocate at Propel
linkedin.com/in/ykdojo
Topic: Building in public and building your presence online
YK is also the founder of CS Dojo, a global community of developers and techies, whose YouTube channel boasts 1.9M+ subscribers.
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Jonaed Iqbal, Founder of NoDegree.com
linkedin.com/in/jonaed
Topic: Value-based networking
Jonaed helps people without college degrees find jobs by providing customized career strategy assistance and also hosts The NoDegree Podcast.
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Daniel Jonguitud, Full Stack Engineer with 6+ years of experience.
linkedin.com/in/danieljonguitud
Topic: Rapid Learning of Technologies
A passionate problem-solver with strong technical skills, he excels in team collaboration and bringing added value to every project.
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Anthony Siu, Product Manager at Microsoft
linkedin.com/in/anthonysiu
Topic: How to transition into tech with a non-traditional background
Anthony has led projects ranging from Agile software development, tooling infrastructure/applications etc. He actively mentors students looking to break into big tech and Product Management.
***
Nagisa Ando, Front End Developer at Medavie Bluecross
linkedin.com/in/nagisa-ando-42ab361aa
Topic: How to become a self-taught developer
Nagisa transitioned from Culinary Arts to Front End dev. She brings a fresh perspective to coding, prioritizing client needs, crafting visually stunning and maintainable websites.
***
Don't miss this opportunity to supercharge your tech career.
SUBSCRIBE to Code Emporium: youtube.com/c/CodeEmporium?sub_confirmation=1
For more videos on Data Science, Machine learning, and AI.
To submit your video to CS Dojo Community, please use this link: csdojo.io/enter
REFERENCES
Arxiv-Sanity: Arxiv, but clean: http://arxiv-sanity.com
Deep Mind: deepmind.com/blog
Apple: machinelearning.apple.com
Tech Crunch: techcrunch.com
NVIDIA: blogs.nvidia.com
Quora
Ajay Halthor: quora.com/profile/Ajay-Halthor
Sridhar Mahadevan: quora.com/profile/Sridhar-Mahadevan-6
Zeeshan Zia: quora.com/profile/Zeeshan-Zia-1
Ajit Rajashekaran: quora.com/profile/Ajit-Rajasekharan
Chris Luhrs: quora.com/profile/Chris-Luhrs
YouTube
Code Emporium: youtube.com/c/CodeEmporium
Siraj Raval: youtube.com/channel/UCWN3xxRkmTPmbKwht9FuE5A
Two Minute Papers: youtube.com/user/keeroyz
Sentdex: youtube.com/user/sentdex
Arxiv Insights: youtube.com/channel/UCNIkB2IeJ-6AmZv7bQ1oBYg
3Blue1Brown: youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw
Mark Jay: youtube.com/channel/UC2W0aQEPNpU6XrkFCYifRFQ
Robert Miles: youtube.com/channel/UCLB7AzTwc6VFZrBsO2ucBMg
Deep Learning & AI Applications: facebook.com/groups/112775596101336/?ref=group_browse_new
Awesome AI Papers: facebook.com/groups/awesomeaipapers/?ref=group_browse_new
Math for Data Sciences: facebook.com/groups/mathfordatascience/?ref=group_browse_new
Deep Learning, Machine Learning, Data Sciences & AI: facebook.com/groups/1069997846490499/?ref=group_browse_new
Data Science: facebook.com/groups/DataScienceGroup/?ref=group_browse_new
Deep Learning & AI: facebook.com/groups/cybots/?ref=group_browse_new
Data Science Python: facebook.com/groups/DataSciencePython/?ref=group_browse_new
Data Sciene with Python: facebook.com/groups/DataScienceWithPython/?ref=group_browse_new
Data Science Beginners: facebook.com/groups/648135408678836/?ref=group_browse_new
Big Data & Statistics: facebook.com/groups/bigdatastatistics/?ref=group_browse_new
Math for Data Sciences: facebook.com/groups/mathfordatascience/?ref=group_browse_new
Robotics: facebook.com/groups/1539686832959717/?ref=group_browse_new
Beginning Data Science, Statistics & Machine Learning: facebook.com/groups/995474220466742/?ref=group_browse_new
Data Science & Predictive Analytics: facebook.com/groups/DataMining/?ref=group_browse_new
SUBSCRIBE TO CODE EMPORIUM: youtube.com/c/CodeEmporium?sub_confirmation=1
To submit your video to CS Dojo Community, please use this link: csdojo.io/enter
REFERENCES
[1] Landmark paper of LSTM (Hochreiter et al., 1997): https://www.bioinf.jku.at/publication...
[2] Landmark paper of Neural Machine Translation NMT (Kalchbrenner et al., 2013): arxiv.org/abs/1306.3584
[3] Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation (Cho et al., 2014): arxiv.org/abs/1406.1078
[4] Seq to Seq learning with neural networks (Sutskever et al., 2014): arxiv.org/abs/1409.3215)
[5] The paper that introduced Bidirectional RNN : https://pdfs.semanticscholar.org/4b80...
[6] On the properties of NMP: Encoder-Decoder Approaches (Cho et al., 2014): arxiv.org/pdf/1409.1259.pdf Fig. 4 (a)
[7] NMT by jointly learning to align & translate (Bahdanau et al., 2016): arxiv.org/pdf/1409.0473.pdf 5.2.2
[8] Google Translate Main paper (Wu et al., 2016): https://ai.google/research/pubs/pub45610
This video was contributed by Go code. Check out his channel here: youtube.com/c/Gocode
To submit your video to CS Dojo Community, please use this link: csdojo.io/enter
Also, here's an article about tiling problems (it covers a more advanced version of the problem, too): journeywithdp.blogspot.com/2018/07/way-to-solve-tiling-problems.html
And you can submit your own content to this channel here: csdojo.io/enter
And here’s a message from Ali, the creator of this video:
I'm starting this series to solve A LOT of programming questions.
From a beginner to an intermediate level.
If you're a beginner or a good programmer these tutorials are definitely for you.
These tutorials progress in difficulty and are carefully chosen for structuring your programmer mind and to gradually empower your logical thinking.
I won't be wasting your time, I'll be straight to the point, clear, and hopefully not boring :)
I'll be using C++.
You can surely follow along with any programming language. What's important is to understand and grasp the logic in each tutorial.
I'm making this series because I was once in your place and I would love to help you take your skills to the next level :D
I'm 19 years old by the way so I know exactly how you think, what difficulties you may face, and exactly what questions you might have (I don't have 999+ programming experience, I Still remember what I went through when I was a beginner like you :D )
What to expect if you keep up with these videos?
Well, I assure you to be comfortable writing complex programs you've never experienced such before. You will gain solid skills that will make you a powerful problem solver.
Why C++? Isn't it HARD for beginners?
Well, Yes C++ is Complex -compared to other languages- but I assure you everything will be clear and simple more than you can imagine. Plus, solving problems using C++ means that you will do most of the things by yourself, so you will know what exactly is happening under the hood.So most of the time, when trying to solve using other programming languages, you'll find things simpler and easy to grasp.
I can keep listing all day, but isn't this enough..? ;)
So I highly recommend to take this course if you're serious about leveling-UP your skills.
For the Full Series:
youtube.com/playlist?list=PLQjIZUkSW_CClZWqPYMPiZt6NykIPmYZw
All playlists:
youtube.com/channel/UCZwDQ0rNNjwJwbFjqmZUYaQ/playlists
You are very welcome to join me and ask me anything on facebook ( waiting for YOU !):
Group:
facebook.com/groups/CSALeb
Page:
facebook.com/CSALeb
Plus, If you would like to support me and help me keep this up don't hesitate, here's my patreon account :D :
patreon.com/CSALeb
Coding is beautiful, so don't hold back sharing this with everyone :D ! Be a part in building this channel :)
Download visual studio code:
code.visualstudio.com
set up visual studio code to work with C++:
youtube.com/watch?v=DIw02CaEusY
Adding 'Run Code' button to vscode:
youtube.com/watch?v=LBTzMd7is28&index=1&list=PLQjIZUkSW_CClZWqPYMPiZt6NykIPmYZw
You can also use code blocks:
http://www.codeblocks.org
In Order to ensure code blocks works perfectly download the setup with 'mingw' in its name , example:
"codeblocks-17.12mingw-setup.exe"
Excited?? Let's Wait no more ! I'll see you inside !
My channel: youtube.com/c/CodeEmporium
To submit your video to CS Dojo Community, please use this link: csdojo.io/enter
REFERENCES:
[1] Interview Questions: springboard.com/blog/machine-learning-interview-questions
[2] Generative Vs Discriminative: stats.stackexchange.com/questions/12421/generative-vs-discriminative
[3]: What is Bayes Rule: http://www.askamathematician.com/2011/10/q-what-is-bayes-rule-and-how-do-i-use-it-in-daily-life
[4] The likelihood function is not PDF: stats.stackexchange.com/questions/31238/what-is-the-reason-that-a-likelihood-function-is-not-a-pdf
[5] Cross Validation for time series: robjhyndman.com/hyndsight/tscv
[6] SMOTE: jair.org/index.php/jair/article/view/10302
[7] Combating Imbalanced Data: analyticsvidhya.com/blog/2017/03/imbalanced-classification-problem
[8] Understanding ROC: towardsdatascience.com/understanding-auc-roc-curve-68b2303cc9c5
[9] Publicly available datasets: springboard.com/blog/free-public-data-sets-data-science-project
[10] Probability Vs Likelihood: stats.stackexchange.com/questions/2641/what-is-the-difference-between-likelihood-and-probability