เบเปเบฝเบงเบเบฑเบเบเบถเปเบก e-book เบเบตเป
Machine learning isย the science of getting machines and computers to act and learn on their own without being programmed explicitly. In just the past decade, this field has given us practical speech recognition, self-driving cars, greatly improved understanding of the overall human genome, effective web search and much more. Therefore, there is no wondering why machine learning is so pervasive today.
In this book, you will learn more aboutย interpreting machine learning techniques using Python. You will also gain practice as you implement the most popular machine learning techniques on some real-world examples and you will learn both about the theoretical and practical machine learning implementation using Python's machine learning libraries.
At the end of the book, you will be able to cope with more complex machine learning issues solving your own problems using Python and its libraries specifically crafted for machine learning.
Here Is A Preview Of What Youโll Learn Hereโฆ
Basics behindย machine learning techniques
Differentย machine learning algorithms
Fundamental machine learning applications and their importance
Getting started with machine learning in Python,ย installing and starting SciPy
Loading data and importing different libraries
Data summarizationย and data visualization
Evaluation of machine learning modelsย and making predictions
Most commonly used machine learningย algorithms, linear and logistic regression, decision trees support vector machines, k-nearest neighbors, random forests
Solving multi-clasisfication problems
Data visualization withย Matplotlibย and data transformation withย Pandas and Scikit-learn
Solving multi-label classification problems
And much, much more...
Get this book NOW and learn more about Machine Learning with Python!
