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this blog is for sharing interesting nuggets and my experience about machine learning, hadoop and related technologies. enter your email address to follow this blog and receive notifications of new posts by email. i have uploaded the code repository of my book learning apache mahout to github, here is the link. basic concepts of machine learning and logistic regression example in mahout. the purpose of this article is to understand the core concepts of machine learning. we will focus on understanding the steps involved in, resolving different types of problems and application areas in machine learning. in particular we will cover the following topics: we will then see an example of training logistic regression in mahout using the command line. recently got published, it is available on the previous link as well as on amazon. i though of sharing my experience of writing it. the first thing that comes to my mind is that the initial spadework done figuring out what to and how to write is very important in writing a good book efficiently. funnily, initial prep work seems to be at core of almost any endeavour but something that is difficult to practice when you step into unknown territory of work. is there actually an uniform theory of success? maybe a topic of a future book ;). i did quite a bit of work figuring out the content of the book, i had around a year of experience in the topic i was writing on ( apache i spent quite a bit of time figuring out the topics to include, focussing on things i knew well and tried to cover almost all important topics in varying degree of depth. the mistake that i made was not working out how i was going to structure the content, fuelled mostly by the eagerness to start writing my first book asap, and going straight into writing the chapters. not surprisingly i had to restructure and rewrite quite a bit half away through the book. had i been thorough with the initial prep work, the book writing process would have been more efficient and the final outcome much better. hope in future this experience is going to make me follow something we all


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Title: Data Science tips and tricks – This blog is for sharing interesting nuggets and my experience about Machine Learning, Hadoop and related
Description: This blog is for sharing interesting nuggets and my experience about Machine Learning, Hadoop and related
H1: Data Science tips and tricksIs it informative enough?
H2: This blog is for sharing interesting nuggets and my experience about Machine Learning, Hadoop and related technologies
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/2015/05/08/code-repository-for-my-book-learning-apache-mahout/:
Title

Code repository for my book Learning Apache Mahout – Data Science tips and tricks

Description

I have uploaded the code repository of my book Learning Apache Mahout to Github, here is the link. I will occasionally update the repository as and when I  find something new to add or if bugs are reported.

H1

Data Science tips and tricks

H2

This blog is for sharing interesting nuggets and my experience about Machine Learning, Hadoop and related technologies

H3

Share this:

/2015/05/08/basic-concepts-of-machine-learning-and-logistic-regression-example-in-mahout/:
Title

Basic Concepts of Machine Learning and Logistic Regression Example in Mahout – Data Science tips and tricks

Description

The purpose of this article is to understand the core concepts of machine learning. We will focus on understanding the steps involved in, resolving different types of problems and application areas in machine learning. In particular we will cover the following topics: Supervised learning Unsupervised learning The recommender system Model efficacy We will then see…

H1

Data Science tips and tricks

H2

This blog is for sharing interesting nuggets and my experience about Machine Learning, Hadoop and related technologies

H3

Share this:

/2015/04/05/experience-of-writing-my-first-book/:
Title

Experience of writing my first book – Data Science tips and tricks

Description

My first book Learning Apache Mahout recently got published, it is available on the previous link as well as on Amazon. I though of sharing my experience of writing it. Importance of prep work The first thing that comes to my mind is that the initial spadework done figuring out what to and how to…

H1

Data Science tips and tricks

H2

This blog is for sharing interesting nuggets and my experience about Machine Learning, Hadoop and related technologies

H3

Importance of prep work

/2015/04/05/my-book-on-apache-mahout/:
Title

My book on Apache Mahout – Data Science tips and tricks

Description

I haven't been posting for quite some time now, reason being my free time was getting used up writing a technical book. I am glad to share that my first book, Learning Apache Mahout, got published. It is a beginner level book introducing Mahout and Machine Learning available at Amazon US, Amazon UK, Amazon India…

H1

Data Science tips and tricks

H2

This blog is for sharing interesting nuggets and my experience about Machine Learning, Hadoop and related technologies

H3

Share this:

/2014/06/15/difference-between-mapreduce-1-0-and-mapreduce-2-0/:
Title

Difference between MapReduce 1.0 and MapReduce 2.0 – Data Science tips and tricks

Description

This blog is for sharing interesting nuggets and my experience about Machine Learning, Hadoop and related technologies

H1

Data Science tips and tricks

H2

This blog is for sharing interesting nuggets and my experience about Machine Learning, Hadoop and related technologies

H3

Share this:

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