Further readings

1. https://www.crunchbase.com/hub/machine-learning-companies, retrieved on February 9, 2019.
2. https://www.ft.com/content/133dc9c8-90ac-11e8-9609-3d3b945e78cf. Machine Learning will be the global engine of growth.
3. https://news.crunchbase.com/news/venture-funding-ai-machine-learning-levels-off-tech-matures/. Retrieved on February 9, 2019.
4. https://www.economist.com/science-and-technology/2018/02/15/for-artificial-intelligence-to-thrive-it-must-explain-itself. Retrieved on February 9, 2019.
5. https://www.nytimes.com/column/machine-learning. Retrieved on February 9th 2019.
6. See for example Google Trends for Machine Learning. https://trends.google.com/trends/explore?date=all&geo=US&q=machine%20learning.
7. R. Kohavi and F. Provost, Glossary of Terms, Machine Learning, vol. 30, no. 2–3, pp. 271–274, 1998. 30, no. 2–3, pp. 271–274, 1998.
8. Turing, Alan (October 1950). Computing Machinery and Intelligence. Mind. 59 (236): 433–460. doi:10.1093/mind/LIX.236.433. Retrieved 8 June 2016.016.
9. https://www.forbes.com/sites/bernardmarr/2016/12/06/what-is-the-difference-between-artificial-intelligence-and-machine-learning/. Retrieved on February 9, 2019.
10. https://talks.golang.org/2012/splash.article. Retrieved February 9, 2019.
11. https://talks.golang.org/2012/splash.article. Retrieved February 9,h 2019.
12. https://insights.stackoverflow.com/survey/2018/. Retrieved February 9, 2019.

13. https://github.com/cloudflare. Retrieved February 9, 2019.
14. https://github.com/uber. Retrieved February 9, 2019.
15. https://github.com/dailymotion. Retrieved February 9, 2019.
16. https://github.com/medium. Retrieved February 9, 2019.
17. https://github.com/sjwhitworth/golearn. Retrieved on 10, February 2019.
18. See the MNIST dataset hosted at http://yann.lecun.com/exdb/mnist/. Retrieved February 10, 2019.
19. See https://machinelearningmastery.com/handwritten-digit-recognition-using-convolutional-neural-networks-python-keras/ for an example. Retrieved February 10, 2019.
20. http://cognitivemedium.com/rmnist. Retrieved February 10, 2019.
21. Regression Models to Predict Corrected Weight, Height and Obesity Prevalence From Self-Reported Data: data from BRFSS 1999-2007. Int J Obes (Lond). 2010 Nov; 34(11):1655-64. doi: 10.1038/ijo.2010.80. Epub 2010 Apr 13.
22. https://deepmind.com/blog/alphago-zero-learning-scratch/. Retrieved February 10th, 2019.
23. Focal Loss for Dense Object Detection. Lin et al. ICCV 2980-2988. Pre-print available at https://arxiv.org/pdf/1708.02002.pdf.