Big Data Big

Friday, September 23, 2016

Recent Big Data and Machine Learning Info Digest 2016/09/23

Data Science: A Kaggle Walkthrough – Creating a Model

Deep Learning in a Nutshell: Reinforcement Learning

Why do deep neural nets require so much training data to perform well?

6 Startups Using AI for Algorithmic Trading Strategies

Ten Myths About Machine Learning

How Hillary's Campaign Is (Almost Certainly) Using Big Data
Posted by William at 11:43 PM No comments:
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Labels: AI, Big Data, Data Science, Deep Learning, Hillary, Kaggle, Nvidia, Quora

Saturday, September 17, 2016

Recent Big Data and Machine Learning Info Digest 2016/09/17

Beware of the gaps in Big Data

The 10 Algorithms Machine Learning Engineers Need to Know

How do you define "data science" and "data scientist"?

What is the Difference Between Deep Learning and “Regular” Machine Learning?

What You Know About Deep Learning Is A Lie


Attention and Augmented Recurrent Neural Networks


Posted by William at 9:25 PM No comments:
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Labels: Algorithms, Big Data, Data Science, Data Scientist, Deep Learning, DJ Patil, Jason Brownlee, Machine Learning, RNN

Sunday, September 11, 2016

Recent Big Data and Machine Learning Info Digest 2016/09/11

A Beginner’s Guide To Understanding Convolutional Neural Networks Part 1

Deep Learning-Take machine learning to the next level (Udacity)

Big Data In Banking: How Citibank Delivers Real Business Benefits With Its Data-First Approach

A Survival Guide to a PhD

New Research — We’re In the Middle of a Data Engineering Talent Shortage

Posted by William at 11:35 PM No comments:
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Labels: Andrej Karpathy, CNN, Data Engineering, Deep Learning, PhD, Udacity

Friday, September 2, 2016

Recent Big Data and Machine Learning Info Digest 2016/09/02

The Simple, Elegant Algorithm That Makes Google Maps Possible

Baidu open-sources Python-driven machine learning framework

How a Japanese cucumber farmer is using deep learning and TensorFlow

Kafka in Action: 7 Steps to Real-Time Streaming From RDBMS to Hadoop

Data Ebook Archive
Posted by William at 11:02 PM No comments:
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Labels: Algorithms, Baidu, cucumber, Deep Learning, Ebook, Google, Hadoop, Kafka, Map, O'Reilly, Open Source, Python, TensorFlow

Saturday, August 27, 2016

Recent Big Data and Machine Learning Info Digest 2016/08/26

Deep Learning for Everyone – and (Almost) Free

What I learned from Deep Learning Summer School 2016

Getting Started With R in RStudio Notebooks

Your Garbage Data Is A Gold Mine

Could data help solve Seattle’s transportation challenges?

DroidOL: Android malware detection based on online machine learning
Posted by William at 12:05 AM No comments:
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Labels: Deep Learning, DroidOL, Fastcompany, Machine Learning, Malware, R, RStudio, Seattle, Transportation, Weird Data, Yoshua Bengio

Sunday, August 21, 2016

Big Data, Machine Learning and Rio 2016

Big Data Doesn’t Rule The Olympics

Big data set to shine at Rio 2016 Olympic Games

How Can Big Data And Analytics Help Athletes Win Olympic Gold In Rio 2016?

Changing the Game: Big Data Helps Bring Home Olympic Gold

CrimeRadar is using machine learning to predict crime in Rio

Was There a Problem With the Rio Pool?

Posted by William at 10:14 PM No comments:
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Labels: Big Data, CrimeRadar, Machine Learning, Olympic, Pool, Rio 2016, Swimming

Saturday, August 13, 2016

Recent Big Data and Machine Learning Info Digest 2016/08/13

Uber’s case for incremental processing on Hadoop

2016 Outlook On Artificial Intelligence In The Enterprise

AI’s Language Problem

Using Machine Learning to Predict Out-Of-Sample Performance of Trading Algorithms

Ensuring Data Security In A Cloud Based Knowledge Base

Why Natural Language Processing Will Change Everything
Posted by William at 10:43 PM No comments:
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Labels: AI, Algorithms, Hadoop, Machine Learning, NLP, Security, Uber
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