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# Part 2 (machine learning overview) all machine learning is pattern search

In Part 2 of Fast Track Machine Learning (Machine Learning Overview) series Dr. Dakshinamurthy Kolluru explains that all Machine Learning can be treated as Pattern Search.

The 5 different searches in Machine Learning are:

1. Exhaustive Search
2. Random Search
3. Mathematical Search
4. Greedy Search
5. Guided Random Search

He explains all the five with the help of different real-world examples.

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### Part 2 (machine learning overview) all machine learning is pattern search

1. 1. Inspire…Educate…Transform. Part 2 (Machine Learning Overview) - All Machine Learning is Pattern Search Dr. K. V Dakshinamurthy President, INSOFE The best place for students to learn Applied Engineering http://www.insofe.edu.in
2. 2. The best place for students to learn Applied Engineering 2 http://www.insofe.edu.in
3. 3. A sample • Let us say, there are two attributes: A, the independent attribute, which can take 3 values: 0, 1 and 2. B, the dependent attribute, which can take 2 values: 0 and 1. The best place for students to learn Applied Engineering 3 http://www.insofe.edu.in
4. 4. A pattern or a hypothesis • Hypothesis: One set of all possible input variations and their outputs. The best place for students to learn Applied Engineering 4 http://www.insofe.edu.in
5. 5. Number of hypothesis • Generalize for n independent variables with m options and the dependent variable has p options – We can construct mnconditions. – We can construct 𝑝 The best place for students to learn Applied Engineering 𝑚𝑛 patterns or hypothesis 5 http://www.insofe.edu.in
6. 6. This search is more tiring than you think! The best place for students to learn Applied Engineering 6 http://www.insofe.edu.in
7. 7. Random searches • Randomly pick patterns and see if they work –A million patterns may not cover even 1% of possibilities –This is a useful technique (MonteCarlo simulation, but not always) The best place for students to learn Applied Engineering 7 http://www.insofe.edu.in
8. 8. Mathematical searches • Calculus based searches are very popular in optimization methods • Statistical model based searches where we describe the characteristics of each class The best place for students to learn Applied Engineering 8 http://www.insofe.edu.in
9. 9. Greedy searches • Pick the best choice at a given point without any understanding or a model –Learn to identify a language • Learning all languages (mathematical/probability based search) • Pick nuances and use them to classify The best place for students to learn Applied Engineering 9 http://www.insofe.edu.in
10. 10. Evolutionary or guided random searches • Add memory to a random search and iterate The best place for students to learn Applied Engineering 10 http://www.insofe.edu.in
11. 11. Search methods: Summary • Exhaustive search • Random search • Mathematical and probability based search • Greedy search • Guided random search The best place for students to learn Applied Engineering 11 http://www.insofe.edu.in
12. 12. YouTube link • For a detailed video on this topic visit the following link: http://www.youtube.com/watch?v=Qbp CzX_CU_4 The best place for students to learn Applied Engineering 12 http://www.insofe.edu.in
13. 13. International School of Engineering Plot 63/A, 1st Floor, Road # 13, Film Nagar, Jubilee Hills, Hyderabad - 500 033 For Individuals: +91-9502334561/62/63 For Corporates: +91-9618483483 Web: http://www.insofe.edu.in Facebook: https://www.facebook.com/insofe Twitter: https://twitter.com/Insofeedu YouTube: http://www.youtube.com/InsofeVideos Slide Share: http://www.slideshare.net/INSOFE LinkedIn: http://www.linkedin.com/company/internationalschool-of-engineering This presentation may contain references to findings of various reports available in the public domain. INSOFE makes no representation as to their accuracy or that the organization subscribes to those findings. The best place for students to learn Applied Engineering 13 http://www.insofe.edu.in