Machine Learning Mastery with Python: Understand Your Data,...

Main
Computers - Cybernetics
Machine Learning Mastery with Python:...

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

Jason Brownlee

5.0 / 5.0

यह पुस्तक आपको कितनी अच्छी लगी?

फ़ाइल की गुणवत्ता क्या है?

पुस्तक की गुणवत्ता का मूल्यांकन करने के लिए यह पुस्तक डाउनलोड करें

डाउनलोड की गई फ़ाइलों की गुणवत्ता क्या है?

श्रेणियाँ:

Computers - Cybernetics

साल:

2016

संस्करण:

v1.4

प्रकाशन:

Machine Learning Mastery

भाषा:

english

पृष्ठ:

179

श्रृंखला:

Machine Learning Mastery

फ़ाइल:

PDF, 2.39 MB

IPFS:

,

english, 2016

ऑनलाइन पढ़ें

में रूपांतरण जारी है

में रूपांतरण विफल रहा

आप के लिए दिलचस्प हो सकता है

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

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 — 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

Jason Brownlee — Ensemble Machine Learning With Python: 7-Day Mini-Course

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

LazyProgrammer — Convolutional Neural Networks in Python: Master Data Science and Machine Learning with Modern Deep Learning in Python, Theano, and TensorFlow (Machine Learning in Python)

Jason Brownlee — Master Machine Learning Algorithms - Discover how they work and Implement Them From Scratch

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

Jason Brownlee — Master Machine Learning Algorithms: Discover How They Work and Implement Them From Scratch

Trevor Hastie, Robert Tibshirani, Jerome Friedman — The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd edition) (12print 2017)

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

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

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

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

Jason Brownlee — Machine Learning Algorithms From Scratch: With Python

Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher J. Pal — Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition

Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar — Foundations of Machine Learning, second edition

Steven Bird, Ewan Klein, Edward Loper — Natural Language Processing with Python

Steve Blair — Python Data Science: The Ultimate Handbook for Beginners on How to Explore NumPy for Numerical Data, Pandas for Data Analysis, IPython, Scikit-Learn and Tensorflow for Machine Learning and Business

Marc Peter Deisenroth; A Aldo Faisal; Cheng Soon Ong — Mathematics for Machine Learning

Pablo Duboue — The Art of Feature Engineering: Essentials for Machine Learning

Wei-Meng Lee — Python Machine Learning

Michael Bowles — Machine Learning with Spark™ and Python®: Essential Techniques for Predictive Analytics

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

Jason Brownlee — Clever Algorithms. Nature-Inspired Programming Recipes

Jason Brownlee — Machine Learning Mastery with R

Stephen Marsland — Machine Learning: An Algorithmic Perspective, Second Edition

Justin Solomon — Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics

Himanshu Singh — Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python

Jojo John Moolayil — Learn Keras for Deep Neural Networks: A Fast-Track Approach to Modern Deep Learning with Python

Alice Zheng, Amanda Casari — Feature Engineering for Machine Learning

Benjamin Bengfort, Tony Ojeda, Rebecca Bilbro — Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning

Aurélien Géron — Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow

Aurélien Géron — Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow

सबसे उपयोगी शब्द

जुड़े हुए बुकलिस्ट