212,29 €
Fundamentals of Data Science Trilogy
- Išsiųsime per 12–18 d.d.
In this series, we cover statistical experimentation, modeling, and machine learning, focusing on: basic statistics, hypothesis testing, and experimentationvalidation methodologylinear and logistic regression; generalized linear modelscausalitytime series analysisBayesian statisticsclusteringdecision trees, random forests, and boosted forestsartificial neural networks and deep learningreinforcement learningOur focus is on mathematical derivations, algorithmic development, and programming. We us…
/images/books/12604854/9781941043035.jpg)
- Autorius: Jared M Maruskin
- Leidėjas: Cayenne Canyon Press
- ISBN-10: 1941043038
- ISBN-13: 9781941043035
- Formatas: 15.6 x 23.4 x 4.6 cm, kieti viršeliai
- Kalba: Anglų
Atsiliepimai
Aprašymas
In this series, we cover statistical experimentation, modeling, and machine learning, focusing on:
- basic statistics, hypothesis testing, and experimentation
- validation methodology
- linear and logistic regression; generalized linear models
- causality
- time series analysis
- Bayesian statistics
- clustering
- decision trees, random forests, and boosted forests
- artificial neural networks and deep learning
- reinforcement learning
Our focus is on mathematical derivations, algorithmic development, and programming. We use Python throughout the text to support our theory. All machine learning techniques are coded from scratch using Python.
212,29 €
Išsiųsime per 12–18 d.d.
- Autorius: Jared M Maruskin
- Leidėjas: Cayenne Canyon Press
- ISBN-10: 1941043038
- ISBN-13: 9781941043035
- Formatas: 15.6 x 23.4 x 4.6 cm, kieti viršeliai
- Kalba: Anglų
In this series, we cover statistical experimentation, modeling, and machine learning, focusing on:
- basic statistics, hypothesis testing, and experimentation
- validation methodology
- linear and logistic regression; generalized linear models
- causality
- time series analysis
- Bayesian statistics
- clustering
- decision trees, random forests, and boosted forests
- artificial neural networks and deep learning
- reinforcement learning
Our focus is on mathematical derivations, algorithmic development, and programming. We use Python throughout the text to support our theory. All machine learning techniques are coded from scratch using Python.
Atsiliepimai