# Tag: Matthew Mayo (35)

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**Distributed TensorFlow Has Arrived**- Mar 1, 2016.

Google has open sourced its distributed version of TensorFlow. Get the info on it here, and catch up on some other TensorFlow news at the same time.**Why Spark Reached the Tipping Point in 2015**- Feb 26, 2016.

A quantitative look at Spark's breakthrough year in 2015, from 3 different points of view. Will 2016 be an even bigger year for the open source project?**Top 10 Data Visualization Projects on Github**- Feb 22, 2016.

Github provides a number of open source data visualization options for data scientists and application developers integrating quality visuals. This is a list and description of the top project offerings available, based on the number of stars.**Scikit Flow: Easy Deep Learning with TensorFlow and Scikit-learn**- Feb 12, 2016.

Scikit Learn is a new easy-to-use interface for TensorFlow from Google based on the Scikit-learn fit/predict model. Does it succeed in making deep learning more accessible?**Microsoft Deep Learning Brings Innovative Features – CNTK Shows Promise**- Feb 2, 2016.

Microsoft releases CNTK, a deep learning tool kit which shows promise. While a few innovative features set it apart from its competitors, a major drawback may hurt its adoption.**Top /r/MachineLearning Posts, January: Google Masters Go, Deep Learning Laughs, OpenAI AMA**- Feb 1, 2016.

In January on /r/MachineLearning: Go gets mastered, deep learning laughs, an OpenAI team AMA, convolutional neural nets colorize black and white photos, and the AI community loses a leader.**Is Deep Learning Overhyped?**- Jan 29, 2016.

With all of the success that deep learning is experiencing, the detractors and cheerleaders can be seen coming out of the woodwork. What is the real validity of deep learning, and is it simply hype?**Google Launches Deep Learning with TensorFlow MOOC**- Jan 26, 2016.

Google and Udacity have partnered for a new self-paced course on deep learning and TensorFlow, starting immediately.**Beyond the Fence, and the Advent of the Creative Machines**- Jan 25, 2016.

Creative machines have been making their influence felt for some time, but an upcoming stage production challenges preconceived notions of what art is.**Top 100 Big Data Experts to Follow**- Jan 15, 2016.

Maptive gives us another list of top Big Data Influencers to check out, including data-driven reasons as to why individuals are included.**7 Steps to Understanding Deep Learning**- Jan 11, 2016.

There are many deep learning resources freely available online, but it can be confusing knowing where to begin. Go from vague understanding of deep neural networks to knowledgeable practitioner in 7 steps!**Top 5 Deep Learning Resources, January**- Jan 7, 2016.

There is an increasing volume of deep learning research, articles, blog posts, and news constantly emerging. Our Deep Learning Reading List aims to make this information easier to digest.**Nando de Freitas AMA: Bayesian Deep Learning, Justice, and the Future of AI**- Jan 6, 2016.

During his recent AMA, machine learning star Nando de Freitas answers a host of questions on a number of topics, including Bayesian methods in deep learning, harnessing AI for the good of humanity, and what the future holds for machine learning.**5 More arXiv Deep Learning Papers, Explained**- Jan 5, 2016.

Top recent deep learning papers on arXiv are presented, summarized, and explained with the help of a leading researcher in the field.**Top /r/MachineLearning Posts, December: The Secret Sauce, OpenAI, Google vs. Facebook**- Jan 4, 2016.

December on /r/MachineLearning: Is TensorFlow Google's "secret sauce?", AI leaders unite, an extensive curated list of machine learning resources grows, Google vs. Facebook, and Deep Q Pong.**Minority Report Visualized – Chicago Police Analyzed**- Dec 28, 2015.

Who watches the watchmen? This article examines the recently available Chicago Police misconduct allegation dataset from the Invisible Institute.**Update: Google TensorFlow Deep Learning Is Improving**- Dec 17, 2015.

The recent open sourcing of Google's TensorFlow was a significant event for machine learning. While the original release was lacking in some ways, development continues and improvements are already being made.**Top 10 Machine Learning Projects on Github**- Dec 14, 2015.

The top 10 machine learning projects on Github include a number of libraries, frameworks, and education resources. Have a look at the tools others are using, and the resources they are learning from.**Spark + Deep Learning: Distributed Deep Neural Network Training with SparkNet**- Dec 4, 2015.

Training deep neural nets can take precious time and resources. By leveraging an existing distributed batch processing framework, SparkNet can train neural nets quickly and efficiently.**Top /r/DataScience Posts, November: Open source Plot.ly, Pokemon (?), Social analysis with R**- Dec 3, 2015.

November on /r/DataScience: Plot.ly is open sourced, Pokemon and Big Data games, a new social network analysis package for R, insider information on landing a Google Data Scientist job, and a free data science curriculum.**Top /r/MachineLearning Posts, November: TensorFlow, Deep Convolutional Generative Adversarial Networks, and lolz**- Dec 2, 2015.

In November on /r/MachineLearning, we've got a good laugh, a fantastic image-generating convolutional generative adversarial network, and a whole lot of Google TensorFlow.**Deep Forger: Art Forgery Meets Deep Neural Nets**- Dec 1, 2015.

The past year has seen deep learning make exceptional advances in imaging, perhaps most notably with Google's Deep Dream. See how a clever Twitter bot employs deep neural nets to paint images in the style of famous painters.**Amazon Top 20 Books in Neural Networks**- Nov 30, 2015.

These are the most popular neural networks books on Amazon. Perhaps there is something of interest to you here.**7 Steps to Mastering Machine Learning With Python**- Nov 19, 2015.

There are many Python machine learning resources freely available online. Where to begin? How to proceed? Go from zero to Python machine learning hero in 7 steps!**Amazon Top 20 Books in Databases & Big Data**- Nov 17, 2015.

These are the most popular database & big data books on Amazon. Some interesting options here, so hopefully you find something useful to your current requirements.**TensorFlow Disappoints – Google Deep Learning falls shallow**- Nov 16, 2015.

Google recently open-sourced its TensorFlow machine learning library, which aims to bring large-scale, distributed machine learning and deep learning to everyone. But does it deliver?**Top Coursera Data Science Specializations: Comparison & Exclusive Insight**- Nov 12, 2015.

There are more MOOC learning options for Data Scientists today than ever. Take a tour of Coursera's 8 Data Science specializations, with exclusive insight from program coordinators and course instructors.**Amazon Top 20 Books in Statistics**- Nov 9, 2015.

These are the most popular statistics books on Amazon. Some interesting books made their way onto this list, and hopefully you find something of interest here.**Topological Data Analysis – Open Source Implementations**- Nov 6, 2015.

Topological Data Analysis (TDA) is making waves in the analytics community lately, but are there open source options available?**Why Deep Learning Works – Key Insights and Saddle Points**- Nov 3, 2015.

A quality discussion on the theoretical motivations for deep learning, including distributed representation, deep architecture, and the easily escapable saddle point.**Top /r/DataScience Posts, October: Plagiarism, Reddit AMAs, Deep Learning Summer School**- Nov 3, 2015.

Plagiarism, a data science author's upcoming AMA, Deep Learning Summer School, essential tools for us all, and data scientist interview questions.**Amazon Top 20 Books in AI & Machine Learning**- Nov 2, 2015.

These are the most popular AI & machine learning books on Amazon. Have a look... you may find something of interest here.**Deep Learning Finds What Makes a Good #selfie**- Oct 28, 2015.

Ever wonder how a convolutional neural network would rate your selfies? Well, wonder no more!**The Best Advice From Quora on ‘How to Learn Machine Learning’**- Oct 15, 2015.

Top machine learning writers on Quora give their advice on learning machine learning, including specific resources, quotes, and personal insights, along with some extra nuggets of information.**Top /r/MachineLearning Posts, September: Implement a neural network from scratch in C++**- Oct 6, 2015.

Neural network in C++ for beginners, Chinese character handwriting recognition beats humans, a handy machine learning algorithm cheat sheet, neural nets versus functional programming, and a neural nets paper repository.