Machine Learning Mastery Ebooks

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that will Guide You to a Specific Result

Welcome to the Machine Learning Mastery Ebook Catalog

Beginner | Intermediate | Advanced | Bundles

Beginner Ebooks

Linear Algebra for Machine Learning

Linear Algebra for Machine Learning

Discover the Mathematical Language of Data in Python

Using clear explanations, standard Python libraries, and step-by-step tutorial lessons, you will discover what linear algebra is, the importance of linear algebra to machine learning, vector, and matrix operations, matrix factorization, principal component analysis, and much more.

Statistical Methods for Machine Learning

Statistical Methods for Machine Learning

Discover How to Transform Data into Knowledge with Python

Using clear explanations, standard Python libraries, and step-by-step tutorial lessons, you will discover the importance of statistical methods to machine learning, summary stats, hypothesis testing, nonparametric stats, resampling methods, and much more.

Master Machine Learning Algorithms

Master Machine Learning Algorithms

Discover How They Work and Implement Them From Scratch

A gentle introduction to the procedures to learn models from data for 10 popular and useful supervised machine learning algorithms used for predictive modeling. Each algorithm includes one or more step-by-step tutorials explaining exactly how to plug in numbers into each equation and what numbers to expect as output. Each tutorial is designed to be completed in a spreadsheet.

TOP SELLER

Machine Learning Algorithms From Scratch

Machine Learning Algorithms From Scratch

With Python

Using clear explanations, simple pure Python code (no libraries!) and step-by-step tutorials you will discover how to load and prepare data, evaluate model skill, and implement a suite of linear, nonlinear and ensemble machine learning algorithms from scratch.

Intermediate Ebooks

Machine Learning Mastery With Weka

Machine Learning Mastery With Weka

Analyze Data, Develop Models and Work Through Projects

Discover how to load data, transform data, evaluate machine learning algorithms and work through machine learning projects end-to-end without writing a single line of code using the Weka open source platform. A step-by-step tutorial approach is used throughout the 18 lessons and 3 end-to-end projects, showing you exactly what to click and exactly what results to expect.

Machine Learning Mastery with Python

Machine Learning Mastery With Python

Understand Your Data, Create Accurate Models and work Projects End-to-End

Discover the process that you can use to get started and get good at applied machine learning for predictive modeling with the Python ecosystem including Pandas and scikit-learn. This book will lead you from a developer who is interested in machine learning with Python to a developer who has the resources and capability to work through a new dataset end-to-end using Python and develop accurate predictive models.

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MachineLearningMasteryWithR-small

Machine Learning Mastery With R

Get Started, Build Accurate Models and Work Through Projects Step-by-Step

There’s a reason that R is the most popular platform for applied machine learning for professional data scientists. Discover exactly how to work through a predictive modeling machine learning project step-by-step with R and the widely adopted caret library.

Introduction to Time Series Forecasting With Python

Introduction to Time Series Forecasting With Python

How to Prepare Data and Develop Models to Predict the Future

Using clear explanations, standard Python libraries and step-by-step tutorials you will discover how to load and prepare data, evaluate model skill, and implement forecasting models for time series data.

Advanced Ebooks

Deep Learning With Python

Deep Learning With Python

Develop Deep Learning Models on Theano and TensorFlow Using Keras

Deep learning is the most interesting and powerful machine learning technique right now. Top deep learning libraries are available on the Python ecosystem like Theano and TensorFlow. Tap into their power in a few lines of code using Keras, the best-of-breed applied deep learning library. Discover exactly how to get started and apply deep learning to your own machine learning projects.

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Better Deep Learning

 

Better Deep Learning

Train Faster, Reduce Overfitting, and Make Better Predictions

Deep learning neural networks have become easy to define and fit, but are still hard to configure. Discover exactly how to improve the performance of deep learning neural network models on your predictive modeling projects. Focus on techniques for faster learning including batch normalization, techniques for less overfitting such as weight decay and dropout, and techniques for better prediction such as stacking ensembles.

COMING SOON

Coming Soon!

Long Short-Term Memory Networks with Python

Long Short-Term Memory Networks With Python

Develop Sequence Prediction Models With Deep Learning

Using clear explanations, standard Python libraries and step-by-step tutorial lessons you will discover what LSTMs are, and how to develop a suite of LSTM models to get the most out of this modern deep learning algorithm on your sequence prediction problems.

Deep Learning for Time Series Forecasting

Deep Learning for Time Series Forecasting

Predict the Future With MLPs, CNNs, and LSTMs in Python

With clear explanations, standard Python libraries, and step-by-step tutorial lessons you’ll discover how to develop deep learning models for your own time series forecasting projects.

NEW

Deep Learning for Natural Language Processing Develop

Deep Learning for Natural Language Processing

Develop Deep Learning Models for Natural Language in Python

Using clear explanations, standard Python libraries and step-by-step tutorial lessons you will discover what natural language processing is, the promise of deep learning in the field, how to clean and prepare text data for modeling, and how to develop deep learning models for your own natural language processing projects.

XGBoost With Python

XGBoost With Python

Gradient Boosted Trees With XGboost and scikit-learn

XGBoost is the dominant technique for predictive modeling on tabular data. The gradient boosting algorithm is the top technique on a wide range of predictive modeling problems, and XGBoost is the fastest implementation. When asked, the best machine learning competitors in the world recommend using XGBoost.

Ebook Bundles

Beginner Bundle

Beginner Bundle

(get a massive 34% discount)

This 2-book set includes:

  1. Master Machine Learning Algorithms
  2. Machine Learning Mastery With Weka

Python Pro Bundle

Python Pro Bundle

(get a massive 30% discount)

This 3-book set includes:

  1. Machine Learning Mastery With Python
  2. Deep Learning With Python
  3. XGBoost With Python
TOP SELLER

Algorithms Bundle

Algorithms Bundle

(get a massive 30% discount)

This 3-book set includes:

  1. Master Machine Learning Algorithms
  2. Machine Learning Mastery With Weka
  3. Machine Learning Algorithms From Scratch

Time Series Bundle

Time Series Bundle

(get a massive 33% discount)

This 2-book set includes:

  1. Machine Learning Mastery With Python
  2. Time Series Forecasting With Python

R Bundle

R Bundle

(get a massive 33% discount)

This 2-book set includes:

  1. Master Machine Learning Algorithms
  2. Machine Learning Mastery With R

Deep Learning Bundle

Deep Learning Bundle

(get a massive 30% discount)

This 3-book set includes:

  1. Machine Learning Mastery With Python
  2. Deep Learning With Python
  3. Long Short-Term Memory Networks With Python

NLP Bundle

NLP Bundle

(get a massive 30% discount)

This 3-book set includes:

  1. Deep Learning With Python
  2. Long Short-Term Memory Networks With Python
  3. Deep Learning for Natural Language Processing

Deep Time Series Bundle

Deep Time Series Bundle

(get a massive 30% discount)

This 3-book set includes:

  1. Deep Learning With Python
  2. Introduction to Time Series Forecasting With Python
  3. Deep Learning for Time Series Forecasting

Better Deep Learning Bundle

 

Better Deep Learning Bundle

(get a massive 30% discount)

This 5-book set includes:

  1. Deep Learning With Python
  2. Long Short-Term Memory Networks
  3. Deep Learning for Natural Language Process
  4. Deep Learning for Time Series Forecasting
  5. Better Deep Learning
COMING SOON

Coming Soon!

Super Bundle

(get a massive 30% discount)

This 13-book set includes all currently available ebooks!

  1. Linear Algebra for Machine Learning
  2. Statistical Methods for Machine Learning
  3. Master Machine Learning Algorithms
  4. Machine Learning Algorithms From Scratch
  5. Machine Learning Mastery With Weka
  6. Machine Learning Mastery With Python
  7. Machine Learning Mastery With R
  8. Introduction to Time Series Forecasting With Python
  9. Deep Learning With Python
  10. Long Short-Term Memory Networks With Python
  11. Deep Learning for Natural Language Processing
  12. Deep Learning for Time Series Forecasting
  13. XGBoost With Python
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