Choosing a Classification Algorithm
Choosing a appropriate algorithm for classificaion of a particular problem task requires a lot of practice, each algorithms has its own quirks and is based on certain assumptions.
Mining of Massive Datasets Book
This book focuses on practical algorithms that have been used to solve key problems in data mining and can be applied successfully to even the largest datasets.
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning Book
This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work.
Data Mining: Practical Machine Learning Tools and Techniques Book
As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data.
A Roadmap For Building Machine Learning Systems
To develop a machine learning model there is roadmap which you can follow so that you can build the best model with the best accuracy.
Machine Learning for Hackers: Case Studies and Algorithms to Get You Started Book
If you're an experienced programmer interested in crunching data, this book will get you started with machine learning - a toolkit of algorithms that enables computers to train themselves to automate useful tasks.
Generate and Install Free SSL Certificate for bitnami application - Let's Encrypt
Let’s Encrypt is a free, automated, and open certificate authority brought to you by the non-profit Internet Security Research Group (ISRG). It gives you free Certificates for your website
Advanced Machine Learning with Python Book
This book is designed to take the reader on a guided tour of the most relevant and powerful machine learning techniques.
Mining The Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub and More Book
You’ll learn how to acquire, analyze, and summarize data from all corners of the social web, including Facebook, Twitter, LinkedIn, Google+, GitHub, email, websites, and blogs.
Machine Learning in Action Book
Machine Learning in Action is unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis.
Data Analysis with Open Source Tools: A hands-on guide for programmers and data scientists Book
You'll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications.
Cross-Validation in Machine Learning
Cross-validation is used to test how effective our machine learning model performs. Our Model's performance is dependent on the way we split the data.