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
Friday, September 23, 2016
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
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
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
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
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
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
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
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
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?
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?
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
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
Labels:
AI,
Algorithms,
Hadoop,
Machine Learning,
NLP,
Security,
Uber
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