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Saturday, October 29, 2016

Recent Big Data and Machine Learning Info Digest 2016/10/29

Pandas Tutorial: Data analysis with Python: Part 1

Big Data Processing with Apache Spark – Part 1: Introduction

IBM announced new Watson Data Platform

Digital Disruption In Banking

Big data architectures face big hurdles with technology integration
Posted by William at 10:51 PM No comments:
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Labels: Big Data, Pandas, Python, Spark, Watson

Saturday, October 22, 2016

Recent Big Data and Machine Learning Info Digest 2016/10/22

Explaining Data Science to High School Students

Big data: Why the boom is already over

Banking, manufacturing industries will fuel demand for big data products: IDC

Kaggle Ranking #1: The Data Science (and more) of Predicting Consumer Debt Default

Preparing for the Future of Artificial Intelligence (White House)

Ask HN: How to get started with machine learning?
Posted by William at 9:17 PM No comments:
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Labels: AI, Big Data, Data Science, Hacker News, IDC, Machine Learning, White House, ZDnet

Friday, October 14, 2016

Recent Big Data and Machine Learning Info Digest 2016/10/14

Deep Reinforcement Learning: Pong from Pixels

Data Mining in Python: A Guide

Top-down learning path: Machine Learning for Software Engineers

Can we open the black box of AI?

Gartner Survey Reveals Investment in Big Data Is Up but Fewer Organizations Plan to Invest

The broken promise of open-source Big Data software – and what might fix it
Posted by William at 10:04 PM No comments:
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Labels: AI, Andrej Karpathy, Big Data, Data Mining, Deep Learning, Gartner, Machine Learning, Nature, Open Source, Python, Tutorial

Friday, October 7, 2016

Recent Big Data and Machine Learning Info Digest 2016/10/07

Machine Learning in a Year

Staying on Top of The Game with Modern Big Data

Why Palantir is Silicon Valley’s most questionable unicorn

What is the difference between AI, Machine Learning, NLP, and Deep Learning?

Why Deep Learning Is Suddenly Changing Your Life
Posted by William at 11:54 PM No comments:
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Labels: AI, Big Data, Deep Learning, Machine Learning, NLP, Palantir

Saturday, October 1, 2016

Recent Big Data and Machine Learning Info Digest 2016/10/01

What are the major bottlenecks in making deep learning systems more effective (as of 2016)?

A Neural Network for Machine Translation, at Production Scale

Amazon's new GPU-cloud wants to chew through your AI and big data projects

Sentimental Analysis of the First Presidential Debate of 2016 Using Machine Learning

A Beginner's Guide to Apache Flink – 12 Key Terms, Explained

Announcing YouTube-8M: A Large and Diverse Labeled Video Dataset for Video Understanding Research
Posted by William at 11:46 PM No comments:
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Labels: AI, Amazon, Big Data, Cloud, Deep Learning, GPU, Hillary, Machine Learning, Presidential Debate, Quora, TensorFlow, Translation, Trump, YouTube
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