Ensemble Machine Learning With Python: 7-Day Mini-Course

Main
Engineering - Computer Technology
Ensemble Machine Learning With Python:...

Ensemble Machine Learning With Python: 7-Day Mini-Course

Jason Brownlee

5.0 / 5.0

Bu kitabı nə dərəcədə bəyəndiniz?

Yüklənmiş faylın keyfiyyəti necədir?

Kitabın keyfiyyətini qiymətləndirə bilmək üçün onu yükləyin

Yüklənmiş faylların keyfiyyəti necədir?

Kateqoriyalar:

Engineering - Computer Technology

İl:

2021

Nəşr:

1.1

Nəşriyyat:

Machine Learning Mastery / Independently Published

Dil:

english

Səhifələr:

17

Seriyalar:

Machine Learning Mastery

Fayl:

PDF, 200 KB

IPFS:

,

english, 2021

Onlayn oxumaq

formatına konvertasiya yerinə yetirilir

formatına konvertasiya baş tutmadı

Bəlkə Sizə maraqlıdır

Jason Brownlee — Probability for Machine Learning - Discover How To Harness Uncertainty With Python

Jason Brownlee — Better Deep Learning: Train Faster, Reduce Overfitting, and Make Better Predictions

Jason Brownlee — Data Preparation for Machine Learning - Data Cleaning, Feature Selection, and Data Transforms in Python

Oliver Theobald — Machine Learning for Absolute Beginners: A Plain English Introduction (Third Edition)

Jason Brownlee — Deep Learning for Computer Vision - Image Classification, Object Detection and Face Recognition in Python

Jason Brownlee — Master Machine Learning Algorithms - Discover How They Work And Implement Them From Scratch

Jason Brownlee — Better Deep Learning: Train Faster, Reduce Overfitting, and Make Better Predictions

Jason Brownlee — Introduction to Time Series Forecasting with Python: How to Prepare Data and Develop Models to Predict the Future

Jason Brownlee — Introduction to Time Series Forecasting with Python: How to Prepare Data and Develop Models to Predict the Future

Jason Brownlee — Introduction to Time Series Forecasting with Python: How to Prepare Data and Develop Models to Predict the Future (Version 1.9)

Jason Brownlee — Machine learning mastery with Weka

New Era — Time Series Forecasting using Python

Jason Brownlee — Deep Learning for Natural Language Processing: Develop Deep Learning Models for your Natural Language Problems

Jason Brownlee — Deep Learning for Time Series Forecasting: Predict the Future with MLPs, CNNs and LSTMs in Python

Jason Brownlee — Basics For Linear Algebra For Machine Learning, Discover The Mathematical Language Of Data In Python

Jason Brownlee — Deep Learning with Python (Theano, TensorFlow, Keras): Develop Deep Learning Models on Theano and TensorFlow Using Keras

Jason Brownlee — Basics For Linear Algebra For Machine Learning: Discover The Mathematical Language Of Data In Python

Daniel Voigt Godoy — Deep Learning with PyTorch Step-by-Step: A Beginner’s Guide

Jason Brownlee — Parallel Loops in Python

Stefania Cristina and Mehreen Saeed — Building Transformer Models with Attention

Jason Brownlee — Machine Learning Mastery with R: Get Started, Build Accurate Models and Work Through Projects Step-by-Step

Jason Brownlee — Deep Learning with Python: Develop Deep Learning Models on Theano and TensorFLow Using Keras

Jason Brownlee — Machine Learning Mastery with Python: Understand Your Data, Create Accurate Models and Work Projects End-To-End

Jason Brownlee — Statistical Methods for Machine Learning: Discover How to Transform Data into Knowledge with Python

Scott Hartshorn — Machine Learning With Random Forests And Decision Trees: A Visual Guide For Beginners

Jason Brownlee — Deep Learning for Time Series Forecasting: Predict the Future with MLPs, CNNs and LSTMs in Python

Jason Brownlee — Generative Adversarial Networks with Python: Deep Learning Generative Models for Image Synthesis and Image Translation

Jason Brownlee — Deep Learning for Time Series Forecasting - Predict the Future with MLPs, CNNs and LSTMs in Python

Jason Brownlee — Long Short-Term Memory Networks With Python: Develop Sequence Prediction Models With Deep Learning

Hanson, Bill — Machine Learning- The Mastery Bible: The definitive guide to Machine Learning, Data Science, Artificial Intelligence, Neural Networks, and Data Analytics.

Jason Brownlee — Data Preparation for Machine Learning: Data Cleaning, Feature Selection, and Data Transforms in Python

Jason Brownlee — Deep Learning for Natural Language Processing: Develop Deep Learning Models for Natural Language in Python

Kevin P. Murphy — Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)

Jitendra Kumar & Ashutosh Kumar Singh & Anand Mohan & Rajkumar Buyya — Machine Learning for Cloud Management

S. Sumathi, Suresh Rajappa, L. Ashok Kumar, Surekha Paneerselvam — Machine Learning for Decision Sciences with Case Studies in Python

Max Kuhn, Kjell Johnson — Feature Engineering and Selection: A Practical Approach for Predictive Models

Mark Stamp — Introduction to Machine Learning with Applications in Information Security

Gaurav Menghani & Naresh Singh — Efficient Deep Learning (First Early Release)

Hui Jiang — Machine Learning Fundamentals: A Concise Introduction

Haibo He, Yunqian Ma — Imbalanced Learning: Foundations, Algorithms, and Applications

Pardeep Singh — Fundamentals and Methods of Machine and Deep Learning: Algorithms, Tools, and Applications

Daniel A. Roberts, Sho Yaida, Boris Hanin — The Principles of Deep Learning Theory

Açar ifadələr

Əlaqəli Kitab Siyahıları