This article was written by Hardik Gohil, Sr Content Writer. Artificial Intelligence has effectively convinced its necessity to the entire world by performing excellently in various… Read More »New Trends in Artificial Intelligence & Machine Learning
This article comes from GitHub. A curated list of resources dedicated to bayesian deep learning. 2013: Deep gaussian processes|Andreas C. Damianou,Neil D. Lawrence|2013 — Source:… Read More »A curated list of resources dedicated to bayesian deep learning
This article was written by Tristan Handy. Tristan is the founder and president of Fishtown Analytics: helping startups implement advanced analytics. I’m very confident of… Read More »The Startup Founder’s Guide to Analytics
Data science today is a lot like the Wild West: there’s endless opportunity and excitement, but also a lot of chaos and confusion. If you’re… Read More »Book: Evaluating Machine Learning Models
In this article was written by Michael Grogan. Michael is a data scientist and statistician, with a profound passion for statistics and programming. In a previous tutorial,… Read More »Implement an ARIMA model using statsmodels (Python)
This article was written by Yhat. Introduction One of my favorite things about Python is that users get the benefit of observing the R community… Read More »Pandasql: Make python speak SQL
This article was contributed by Nikita Johnson. The cost of large scale data collection and annotation often makes the application of machine learning algorithms to… Read More »Image Analysis with Deep Learning
This document comes from Github. Introduction tf-seq2seq is a general-purpose encoder-decoder framework for Tensorflow that can be used for Machine Translation, Text Summarization, Conversational Modeling,… Read More »Seq2seq for NLP: encoder-decoder framework for Tensorflow
Feature engineering is essential to applied machine learning, but using domain knowledge to strengthen your predictive models can be difficult and expensive. To help fill… Read More »Book: Mastering Feature Engineering
Jupyter notebook content for my OReilly book, the Python Data Science Handbook. This repository contains the full listing of IPython notebooks used to create the book,… Read More »Book: Python Data Science Handbook
