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Book: Machine Learning Algorithms From Scratch

@machinelearnbot

You must understand algorithms to get good at machine learning. The problem is that they are only ever explained using Math. In this mega Ebook written in the friendly Machine Learning Mastery style that you're used to, finally cut through the math and learn exactly how machine learning algorithms work. 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. I live in Australia with my wife and son and love to write and code.


Book: Machine Learning Algorithms From Scratch

#artificialintelligence

You must understand algorithms to get good at machine learning. The problem is that they are only ever explained using Math. In this mega Ebook written in the friendly Machine Learning Mastery style that you're used to, finally cut through the math and learn exactly how machine learning algorithms work. 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. I live in Australia with my wife and son and love to write and code.


Machine Learning Algorithms From Scratch: With Python

#artificialintelligence

Machine Learning Algorithms From Scratch was designed for you. The book that finally unlocks how machine learning algorithms work. You don't need the math. Everything is explained in simple words, and we work in the language you do know: code. You don't need to be a Python master.


Master Machine Learning Algorithms

@machinelearnbot

You must understand the algorithms to get good (and be recognized as being good) at machine learning. In this mega Ebook is written in the friendly Machine Learning Mastery style that you're used to, finally cut through the math and learn exactly how machine learning algorithms work, then implement them from scratch, step-by-step. Click to jump straight to the packages. Jason's book is the best that exists to turn reasonably intelligent individuals with basic programming skills (any language) into sharp machine learning developers. I'm a developer and I feel like I don't really understand something until I can implement it from scratch. I need to understand each piece of it in order to understand the whole. The same thing applies to machine learning algorithms.


Java AI

#artificialintelligence

And more broadly, why should you use JVM languagues like Java, Scala, Clojure or Kotlin to build AI and machine-learning solutions? Java is the most widely used programming language in the world. Large organizations in the public and private sector have enormous Java code bases, and rely heavily on the JVM as a compute environment. In particular, much of the open-source big data stack is written for the JVM. This includes Apache Hadoop for distributed data management; Apache Spark as a distributed run-time for fast ETL; Apache Kafka as a message queue; ElasticSearch, Apache Lucene and Apache Solr for search; and Apache Cassandra for data storage to name a few.