jahan

On top Scala programming books see: http://www.aioptify.com/top-scala-books.php

On Erlang programming books see the following list: http://www.aioptify.com/top-erlang-programming-books.php

On deep learning and neural networks space: http://www.aioptify.com/top-deep-learning-and-neural-network...

On Machine Learning area: http://www.aioptify.com/topmldmbooks.php

On modern software engineering and development: http://www.aioptify.com/top-software-books.php

On Python programming topic: http://www.aioptify.com/top-python-programming-books.php

For this post, we have scraped various digital signals (e.g. reviews sentiments, online ratings, topics covered in the book, author influence in the field, year of publication, social media mentions, etc.) from web for more than 20's Erlang books.

We have fed all above signals to a trained Machine Learning algorithm to compute a score for each book and rank the top books.

Software engineers who are interested in learning Erlang Functional Programming will enjoy the list because it's data driven and objective!

For this post, we have scraped various signals (e.g. reviews sentiments, online ratings, topics covered in the book, author influence in the field, year of publication, social media signals, etc.) from web for more than 40's Scala books.

We have fed all above signals to a Machine Learning algorithm to compute a score for each book and rank the top ones.

In this post, we have scraped various signals (e.g. reviews sentiments, online ratings, topics covered in the book, author influence in the field, year of publication, price, social media signals etc.) from web for more than 100's of Data Science books.

We have combined all signals to compute a Quality Score for each book using Machine Learning algorithms and published the list of Top 20 Data Science books.

The A.I. Optify data team has scraped web to collect many signals (e.g. online reviews, ratings, author influence, publication year, price, book content, and many more) for more than of 200's of Startup and Entrepreneurship books.

We feed these signals to our ranking models and compute a Fit Score for each book to publish the list of top Startup, Entrepreneurship, & Business books.

This is the list of high quality software engineering books generated by AI Optify data science team.

We have taken a data approach by scraping web to collect important signals for more than 100's of software books and feed those signals to a ranking algorithm to score/rank the highest quality books.

For this post the A.I. Optify team has scraped open web to collect various signals (e.g. online reviews, ratings, depth of topics covered in a book, author influence in the field, date of publication and many more) for 100's of Software Engineering books.

We fed all above signals to our machine learning algorithms to compute a Fit Score for each book and publish the list of "Top Software Engineering books".

For this article, A.I. Optify data science team has scraped various signals (e.g. online reviews & ratings, topics covered in the book, author popularity, price etc.) from open web for more than 300's Software Engineering books.

We have combined all signals to compute a Fit Score for each book and publish the list of top Software Engineering books.

Enjoy the list and post your comments if you have any comments!

In this post, AI Optify data science team has scraped various signals (e.g. reviews & ratings, topics covered in the book, author influence in the field, price, etc.) from web for more than 100 Machine Learning, Data Mining, and NLP books.

They have combined all signals to compute a Quality Score for each book and publish the list of top Machine Learning and Data Mining books.

In this post, AI Optify has scraped various signals (e.g. reviews & ratings, topics covered in the book, author influence in the field, price, etc.) from web for more than 100 Machine Learning, Data Mining, and NLP books. We have combined all signals to compute the Quality Score for each book and publish the list of top Machine Learning and Data Mining books.

Top Machine Learning & Data Mining Books - in this post, we have scraped various signals (e.g. reviews & ratings, topics covered in the book, author influence in the field, price, etc.) from web for more than 100 Machine Learning, Data Mining, and NLP books. We have combined all signals to compute the Quality Score for each book and publish the list of top Machine Learning and Data Mining books.

Top Machine Learning & Data Mining Books - for this post, we have scraped various signals (e.g. reviews & ratings, topics covered in the book, author influence in the field, price, etc.) from web for more than 100 Machine Learning, Data Mining, and NLP books. We have combined all signals to compute a Quality Score for each book and publish the list of top Machine Learning and Data Mining books.

For this post, we've scraped various signals (e.g. online reviews/ratings, covered topics, authors authenticity in the field, price, etc.) from web for 100's Machine Learning & Data Mining books. We have used these signals to compute a Quality Score to rank books and publish the final list for top Machine Learning books.

For this review article, we have scraped various signals (e.g. online reviews/ratings, covered topics, authors authenticity in the field, price, etc.) from web for 100's Machine Learning & Data Mining books. We have used those signals to compute a Quality Score for ranking books and publishing the list of top ML/DM/NLP books.

Top ML/DM Books - in this post we have collected various signals (e.g. online reviews, online ratings, book price, & so on) for 100's of Machine Learning & Data Mining books. We have used those signals to compute a quality score for each book and rank the top first 16 Machine Learning, Data Mining and NLP books. Our ranking approach is objective, data-driven and fair. Enjoy the list!

In this post we discuss some of the existing technologies for scraping and parsing web pages. We also talk about some of the challenges developers may encounter while scraping dynamic web pages.

One interesting problem that we worked on in the past was to understand how people generate their email addresses. This problem can have applications in different areas such as fraud detection!

In this post, we explain the mathematics behind Latent Dirichlet Allocation (LDA) model. We also demo a Java implementation of the LDA model using collapsed Gibbs sampling technique.