charlesmalafosse/sports-betting-customloss
We present a way to incorporate bets' potential profit into a neural network classifier model using a custom loss function. We believe this to be extremely useful for anyone looking to use machine learning to create a betting system. It is what we do at BetSentiment.com.
Jupyter NotebookMIT
Stargazers
- AdityaRonArizona State University
- alexhuertaarmijoSCL, Chile
- anandijainSan Jose CA, Boston MA
- AndyChamberlain
- aswaathbLondon
- ayberktecimer@adyen
- BrunoFord
- charlesmalafosseFreelance
- doczoidbergEngineering Online
- dutchakdev@newageio
- E-DeLisle
- franz101
- GeorgeMcIntireBerkeley
- ggillespie948Voicebox
- hbprice65
- ioannis12
- JamesKondiliosAustralian National University
- jh-crypto
- jmoswaltFantasyPros
- joekodeLondon, UK
- Jurawell
- kdcc
- leewindYaoJIngRiver Global Hedge Fund
- lletfrixSpain
- lumptydTexas
- m1gicturtl
- MarcusFriedl
- marcusliassides
- nasech24
- osahin15arabam.com
- petrokvitkaJohannes Hübner - Fabrik elektrischer Maschinen GmbH
- qifengcao
- Seb943
- Sur2ndra
- t0mekkPoland / Brzeg
- tttienthinh