Teki Lim (@teki_lim) 's Twitter Profile
Teki Lim

@teki_lim

ID: 1432703552363896843

calendar_today31-08-2021 13:55:33

17 Tweet

2 Takipçi

73 Takip Edilen

Santiago (@svpino) 's Twitter Profile Photo

Many online courses are useless. They will not get you anywhere. But there are gems out there. Here is a curated list that will help you build a machine learning career without paying a fortune in tuition fees. ↓

Prashant (@capeandcode) 's Twitter Profile Photo

Time-Series concepts to start with: 📈 • Trend • Seasonality • Residuals • Random Walk & White Noise • Stationarity • Differencing • ACF & PACF • Auto-Regressions • Moving Averages • AIC & BIC

Dr. Ganapathi Pulipaka 🇺🇸 (@gp_pulipaka) 's Twitter Profile Photo

5 Free #Books To Take Your #DataScience Skills to The Next Level. #BigData #Analytics #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode bit.ly/3y1P1Kx

5 Free #Books To Take Your #DataScience Skills to The Next Level. #BigData #Analytics #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode 
bit.ly/3y1P1Kx
Jbee (@jbee37142) 's Twitter Profile Photo

결제 제품을 제외하고 사업에 관심이 없다면 마주할 일이 없을 수 있는 토스페이먼츠가 무엇을 하는지 잘 모르실텐데, 당연했던 불편함들을 하나 하나 제거해나가고 있어요. youtu.be/vta76Z01RUY

Giuliano Liguori (@ingliguori) 's Twitter Profile Photo

Project ideas on #Python, #JavaScript, #Java, and #Flutter Via Giuliano Liguori #AI #PyTorch #Python3 #DataScience #mathematics #pythonlearning #MachineLearning #DevOps #100DaysOfMLCode #DEVCommunity #100DaysOfCode #DataScientist Antonio Grasso Linda Grasso Guido Kerkhof David Holm

Project ideas on #Python, #JavaScript,  #Java, and #Flutter Via <a href="/ingliguori/">Giuliano Liguori</a> #AI #PyTorch #Python3 #DataScience #mathematics #pythonlearning #MachineLearning #DevOps #100DaysOfMLCode #DEVCommunity #100DaysOfCode #DataScientist 
<a href="/antgrasso/">Antonio Grasso</a> <a href="/LindaGrass0/">Linda Grasso</a> <a href="/GuidoKerkhof/">Guido Kerkhof</a> <a href="/cloudpreacher/">David Holm</a>
Santiago (@svpino) 's Twitter Profile Photo

Experienced developers have a systematic process to find errors in their code: • Break down systems into smaller pieces • Remove anything that's not essential • List assumptions for each piece • Test each assumption individually • When found, write an automated test

Kirk Borne (@kirkdborne) 's Twitter Profile Photo

Some helpful #Python books for #DataScientists: 1) amzn.to/3xQCvhY 2) amzn.to/2H5LPZB 3) amzn.to/3kVynHp 4) amzn.to/37UKKhj 5) amzn.to/3usyePv ——— #BigData #DataScience #AI #MachineLearning #DataWrangling #DeepLearning #NLProc

Some helpful #Python books for #DataScientists:
1) amzn.to/3xQCvhY
2) amzn.to/2H5LPZB
3) amzn.to/3kVynHp
4) amzn.to/37UKKhj
5) amzn.to/3usyePv 
———
#BigData #DataScience #AI #MachineLearning #DataWrangling #DeepLearning #NLProc
elvis (@omarsar0) 's Twitter Profile Photo

🐙 MLOps Basics 🐙 This is really cool! It includes a set of hands-on guides to understand the basics of MLOps. From building the machine learning model to deploying it. It looks very useful to learn about the technology stack for ML engineering. github.com/graviraja/MLOp…

🐙 MLOps Basics 🐙

This is really cool! It includes a set of hands-on guides to understand the basics of MLOps.

From building the machine learning model to deploying it. It looks very useful to learn about the technology stack for ML engineering.

github.com/graviraja/MLOp…