- The world’s easiest introduction to Machine Learning https://medium.com/p/80ea3ec3c471 16 comments programming
Linking pages
- GitHub - ZuzooVn/machine-learning-for-software-engineers: A complete daily plan for studying to become a machine learning engineer. https://github.com/ZuzooVn/machine-learning-for-software-engineers/blob/master/README.md 111 comments
- Our Machines Now Have Knowledge We’ll Never Understand | WIRED https://backchannel.com/our-machines-now-have-knowledge-well-never-understand-857a479dcc0e 39 comments
- All you need to know about machine learning in 12 minutes, 45 seconds | Network World http://www.networkworld.com/article/3146518/software/everything-you-need-to-know-about-machine-learning-in-12-minutes-45-seconds.html#tk.twt_nww 3 comments
- Qix/dl.md at master · ty4z2008/Qix · GitHub https://github.com/ty4z2008/Qix/blob/master/dl.md 1 comment
- How to Become a Data Scientist from Software Developer | by Bala Venkatesh | Medium https://medium.com/@venkateshpnk22/how-to-become-a-data-scientist-from-software-developer-9ae868287fdd 1 comment
- Starting out with Haskell Tensor Flow — Monday Morning Haskell https://mmhaskell.com/blog/2017/8/14/starting-out-with-haskell-tensor-flow 0 comments
- GitHub - ujjwalkarn/Machine-Learning-Tutorials: machine learning and deep learning tutorials, articles and other resources https://github.com/ujjwalkarn/Machine-Learning-Tutorials 0 comments
- GitHub - ChristosChristofidis/awesome-deep-learning: A curated list of awesome Deep Learning tutorials, projects and communities. https://github.com/ChristosChristofidis/awesome-deep-learning 0 comments
- News in artificial intelligence and machine learning | Revue https://www.getrevue.co/profile/nathanbenaich/archive/18959 0 comments
- Starting out with Haskell Tensor Flow | by James Bowen | Towards Data Science https://towardsdatascience.com/starting-out-with-haskell-tensor-flow-49ec8aa7697f 0 comments
- News in artificial intelligence and machine learning [July/August] | Revue https://www.getrevue.co/profile/nathanbenaich/issues/news-in-artificial-intelligence-and-machine-learning-july-august-24589 0 comments
- An intro to Machine Learning for designers | by Sam Drozdov | UX Collective https://uxdesign.cc/an-intro-to-machine-learning-for-designers-5c74ba100257 0 comments
- How to Build a Simple Image Recognition System with TensorFlow (Part 1) https://medium.freecodecamp.com/how-to-build-a-simple-image-recognition-system-with-tensorflow-part-1-d6a775ef75d#.1ic7zdqwi 0 comments
- An intro to Machine Learning for designers | by Sam Drozdov | UX Collective https://medium.com/@drozzz/an-intro-to-machine-learning-for-designers-5c74ba100257 0 comments
- Machine learning with school math. Yes, you learnt the basics at school! https://lawtomated.com/machine-learning-with-school-math-yes-you-learnt-the-basics-at-school/ 0 comments
- GitHub - onmyway133/awesome-machine-learning: 🎰 A curated list of machine learning resources, preferably CoreML https://github.com/onmyway133/fantastic-machine-learning/blob/master/README.md#blogs 0 comments
- GitHub - ZuzooVn/machine-learning-for-software-engineers at producthunt https://github.com/ZuzooVn/machine-learning-for-software-engineers?ref=producthunt 0 comments
Linked pages
- Machine learning - Wikipedia http://en.wikipedia.org/wiki/Machine_learning 161 comments
- Supervised Machine Learning: Regression and Classification | Coursera https://www.coursera.org/course/ml 73 comments
- Support vector machine - Wikipedia https://en.wikipedia.org/wiki/Support_vector_machine 55 comments
- Artificial neural network - Wikipedia https://en.wikipedia.org/wiki/artificial_neural_network 27 comments
- scikit-learn: machine learning in Python — scikit-learn 1.3.1 documentation http://scikit-learn.org/stable/index.html 1 comment
- Gradient descent - Wikipedia https://en.wikipedia.org/wiki/Gradient_descent 0 comments
- Kernel method - Wikipedia http://en.wikipedia.org/wiki/Kernel_trick 0 comments
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