BOOKS - PROGRAMMING - Data-Driven Computational Neuroscience Machine Learning and Sta...
Data-Driven Computational Neuroscience Machine Learning and Statistical Models - Concha Bielza, Pedro Larranaga, 2020 PDF Cambridge University Press BOOKS PROGRAMMING
ECO~23 kg CO²

2 TON

Views
74279

Telegram
 
Data-Driven Computational Neuroscience Machine Learning and Statistical Models
Author: Concha Bielza, Pedro Larranaga,
Year: 2020
Pages: 747
Format: PDF
File size: 42,5 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Power BI Machine Learning and OpenAI: Explore data through business intelligence, predictive analytics, and text generation
Feature Engineering for Modern Machine Learning with Scikit-Learn Advanced Data Science and Practical Applications
Fusion of Artificial Intelligence and Machine Learning for Advanced Image Processing, Data Analysis, and Cyber Security
Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python
Machine Learning An In-Depth Beginners Guide into the Essentials of Machine Learning Algorithms
Introduction to Machine Learning (Adaptive Computation and Machine Learning), 4th Edition
Cloud Computing for Machine Learning and Cognitive Applications A Machine Learning Approach
Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)
Statistics for Machine Learning Implement Statistical methods used in Machine Learning using Python
Machine Learning Production Systems Engineering Machine Learning Models and Pipelines
Artificial Intelligence and Internet of Things based Augmented Trends for Data Driven Systems (Intelligent Data-Driven Systems and Artificial Intelligence)
Python Programming: An Introductory Guide for Accounting and Finance (Machine Learning, Financial Analysis, Data Visualization, Automation and More)
Machine Learning Design Patterns Solutions to Common Challenges in Data Preparation, Model Building, and MLOps, First Edition
Python Machine Learning Machine Learning and Deep Learning with Python, scikit-learn and Tensorflow
Python Machine Learning A Complete Guide for Beginners on Machine Learning and Deep Learning with Python
Practical Machine Learning with R and Python Machine Learning in Stereo, Third Edition
Machine Learning for Beginners An Introduction to Artificial Intelligence and Machine Learning
The Python Bible 7 in 1 Volumes One To Seven (Beginner, Intermediate, Data Science, Machine Learning, Finance, Neural Networks, Computer Vision)
Graph-Powered Analytics and Machine Learning with TigerGraph Driving Business Outcomes with Connected Data (10th Early Release)
Graph-Powered Analytics and Machine Learning with TigerGraph Driving Business Outcomes with Connected Data (9th Early Release)
Modeling Neural Circuits Made Simple with Python (Computational Neuroscience Series)
Python Programmieren 7 in 1 Der schnelle Einstieg (Grundlagen, Machine Learning, Neuronale Netze, Data Science, Computer Vision, Finanzen)
Ultimate MLOps for Machine Learning Models Use Real Case Studies to Efficiently Build, Deploy, and Scale Machine Learning Pipelines with MLOps
Ultimate MLOps for Machine Learning Models Use Real Case Studies to Efficiently Build, Deploy, and Scale Machine Learning Pipelines with MLOps
Hands-On Machine Learning with Scikit-Learn and Scientific Python Toolkits: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python
Fundamentals of Machine & Deep Learning A Complete Guide on Python Coding for Machine and Deep Learning with Practical Exercises for Learners (Sachan Book 102)
Hacker|s Guide to Machine Learning with Python Hands-on guide to solving real-world Machine Learning problems with Scikit-Learn, TensorFlow 2, and Keras
Python Machine Learning A Hands-On Beginner|s Guide to Effectively Understand Artificial Neural Networks and Machine Learning Using Python
Machine Learning for Emotion Analysis in Python: Build AI-powered tools for analyzing emotion using natural language processing and machine learning
Python Machine Learning Is The Complete Guide To Everything You Need To Know About Python Machine Learning Keras, Numpy, Scikit Learn, Tensorflow, With Useful Exercises and examples
Python Machine Learning Understand Python Libraries (Keras, NumPy, Scikit-lear, TensorFlow) for Implementing Machine Learning Models in Order to Build Intelligent Systems
Machine Learning 4 Books in 1 A Complete Overview for Beginners to Master the Basics of Python Programming and Understand How to Build Artificial Intelligence Through Data Science
Machine Learning: 4 Books in 1: A Complete Overview for Beginners to Master the Basics of Python Programming and Understand How to Build Artificial Intelligence Through Data Science
Knowledge-Guided Machine Learning Accelerating Discovery Using Scientific Knowledge and Data
Data Engineering for Machine Learning Pipelines From Python Libraries to ML Pipelines and Cloud Platforms
Data Science on AWS Implementing End-to-End, Continuous AI and Machine Learning Pipelines
Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI
Machine Learning Q and AI 30 Essential Questions and Answers on Machine Learning and AI
The Art of Machine Learning A Hands-On Guide to Machine Learning with R
The Art of Machine Learning A Hands-On Guide to Machine Learning with R