Hands-on markov models with Python : implement probabilistic models for learning complex data sequences using the Python ecosystem /
Main Author: | Ankan, Ankur (Autor/a) |
---|---|
Other Authors: | Panda, Abinash (Autor/a) |
Format: | Book |
Language: | English |
Published: |
Birmingham, UK. :
Packt Publishing,
2018.
|
Subjects: |
Similar Items
-
Hands-on unsupervised learning using Python : how to build applied machine learning solutions from unlabeled data /
by: Patel, Ankur A.
Published: (2019) -
Python machine learning : machine learning and deep learning with python, scikit-learn, and TensorFlow /
by: Raschka, Sebastian
Published: (2017) -
Modeling and simulation in python /
by: Kinser, Jason M. 1962-
Published: (2022) -
Hands-on reinforcement learning with Python : master reinforcement and deep reinforcement learnig using OpenAI Gym and TensorFlow /
by: Ravichandiran, Sudharsan,
Published: (2018) -
A semi-Markov model for a particle at motion on the line /
by: Turner, Danny William, et al.
Published: (1970)