diff options
Diffstat (limited to 'day1')
| -rw-r--r-- | day1/diving-deep-into-blockchain.txt (renamed from day1/second-talk.txt) | 3 | ||||
| -rw-r--r-- | day1/massively-scaled-microservices.txt (renamed from day1/first-talk.txt) | 3 | ||||
| -rw-r--r-- | day1/non-scalar-data.txt (renamed from day1/no-sql.txt) | 4 | ||||
| -rw-r--r-- | day1/supervised-learning.txt | 77 |
4 files changed, 86 insertions, 1 deletions
diff --git a/day1/second-talk.txt b/day1/diving-deep-into-blockchain.txt index 46df43f..8fe9218 100644 --- a/day1/second-talk.txt +++ b/day1/diving-deep-into-blockchain.txt @@ -1,5 +1,8 @@ Block chain +Tomasz Kowalczyk +https://joind.in/event/php-uk-conference-2019/dive-deep-into-blockchain + - Block chain is a database - Bespoke data structure diff --git a/day1/first-talk.txt b/day1/massively-scaled-microservices.txt index da8689e..3b6dbe0 100644 --- a/day1/first-talk.txt +++ b/day1/massively-scaled-microservices.txt @@ -1,5 +1,8 @@ # micro services - perf +https://joind.in/event/php-uk-conference-2019/massively-scaled-high-performance-web-services-with-php +https://www.slideshare.net/DeminYin/massively-scaled-high-performance-web-services-with-php-132696547 + ## Overivew glu mobile - microservices diff --git a/day1/no-sql.txt b/day1/non-scalar-data.txt index ccb6a4a..908cf84 100644 --- a/day1/no-sql.txt +++ b/day1/non-scalar-data.txt @@ -1,4 +1,6 @@ # Non-Scalar Data +https://joind.in/event/php-uk-conference-2019/storing-non-scalar-data +Derick Rethans ## Redis sets SSAD @@ -46,7 +48,7 @@ DONT: RETRIVE MANIPULATE STORE redis bad at scaling - joned.in/25887 + joned.in/25887 # Useful links diff --git a/day1/supervised-learning.txt b/day1/supervised-learning.txt new file mode 100644 index 0000000..1dce7da --- /dev/null +++ b/day1/supervised-learning.txt @@ -0,0 +1,77 @@ +# Learning: the hows and whys of machine learning + +Liam Wiltshire +https://liam-wiltshire.github.io/talks/?talk=machinelearning&conference=phpuk +https://joind.in/event/php-uk-conference-2019/learning-the-hows-and-whys-of-machine-learning + +## Overivew + +Charge backs + +## Supervised learning +Training data +Learning functions +Categorisation / Classification +Regression - Where do we sit on a line + +## Naive Bayes classifier +Standardise words +- Un pluralise +- Un gender +- Un tense +- etc + +More data == better + +## Tokenisation +https://en.wikipedia.org/wiki/Benford%27s_law +https://php-ml.readthedocs.io + +Unique tokens for each unique context + +## Imbalanced data +One category has more database +99% data not charge back +Just being accurate, not very helpful + - Started by flagging 100% as fine. + - Need to collect more data, change methods, resample data + +## Understand data +- context +- Common data vs specific data +- Continuous vs discrete data + +## KNN +K Nearest Number +https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm + - Distances + - less sensitive to imbalance + - Keep K odd (no draws) + +## Handling nominal data + +Binary +- Increase amounts of dimensions +- normalisation required +- equal scales + +## Contextless data is meaningless +Is it normal? + +## Next to try +Weighting +Different dimensions +Change K value (was 3NN) +Remove outliers +Diff distance function +weighted distance + + + + +# Useful links +https://en.wikipedia.org/wiki/Benford%27s_law +https://php-ml.readthedocs.io +https://liam-wiltshire.github.io/talks/?talk=machinelearning&conference=phpuk +https://joind.in/event/php-uk-conference-2019/learning-the-hows-and-whys-of-machine-learning +https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm |