Big Data Big

Sunday, February 26, 2017

Recent AI, Big Data and Machine Learning Info Digest 2017/02/26

45 Questions to test a data scientist on basics of Deep Learning (along with solution)

5 More Deep Learning Applications a beginner can build in minutes (using Python)

What do experienced data scientists know that beginner data scientists don't know?

Bloomberg Adds Machine-Learning To Apache Solr Search

Algorithms' Dark Side: Embedding Bias into Code

Inside Facebook's AI Machine

Google Spreadsheets and Python

Awesome - Most Cited Deep Learning Papers
Posted by William at 9:41 PM No comments:
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Labels: AI, Algorithms, Bloomberg, Data Scientist, Deep Learning, Facebook, Google, Machine Learning, Python, Quora, Solr

Monday, February 20, 2017

Recent Big Data and Machine Learning Info Digest 2017/02/20

NoSQL Database in Big Data Age (video in Chinese)

CLOUD SPANNER 

Fueling the Gold Rush: The Greatest Public Datasets for AI

China’s Artificial-Intelligence Boom

A gallery of interesting Jupyter and IPython Notebooks

Announcing TensorFlow 1.0
Posted by William at 11:05 PM No comments:
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Labels: AI, Big Data, Cloud Spanner, Dataset, Goog, IPython, Jupyter Notebook, NoSQL, TensorFlow, William Liu

Sunday, February 12, 2017

Recent Big Data and Machine Learning Info Digest 2017/02/12

Before you build another machine-learning startup, read this

Revolution AI: Why everyone wants in to Montreal’s deep-learning hub

Cutting through the hype: The real benefits of machine learning

Quora Answers by Monica Rogati (Data Science advisor. Former VP of Data @Jawbone & LinkedIn data scientist.)

Kick back and watch our AI learn to play Atari games in real-time

5 Ways Your Team Can Take Advantage of Big Data

Using Machine Learning to predict parking difficulty

Data Exploration with Python, Part 1

Data Exploration with Python, Part 2

Machine Learning Crash Course: Part 3
Posted by William at 9:34 PM No comments:
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Labels: AI, Atari, Berkeley, Data Scientist, Deep Learning, Google, LinkedIn, Machine Learning, Monica Rogati, Montreal, Parking, Python, Quora, Rubikloud, Startup

Sunday, February 5, 2017

Recent Big Data and Machine Learning Info Digest 2017/02/05

Reimagining the Construction Industry (indus.ai)

CEOs Not Seeing Big Picture On 'Big Data'

Scikit-learn tutorial: statistical-learning for sientific data processing

Will You Graduate? Ask Big Data

How to get your first job in Data Science?

What is a GPU and Why Do I Care? A Businessperson's Guide

Deep Learning on Databricks - Integrating with TensorFlow, Caffe, MXNet, and Theano
Posted by William at 6:36 PM No comments:
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Labels: AI, Big Data, Caffe, Construction, Data Science, Databricks, Deep Learning, GPU, Job, Python, Scikit-learn, TensorFlow, Theano

Saturday, January 28, 2017

Recent Big Data and Machine Learning Info Digest 2017/01/28

Deep Reinforcement Learning: An Overview

In-Depth on Udacity’s Self-Driving Car Curriculum

The Rise of the Data Engineer

6 areas of AI and machine learning to watch closely

41 Essential Machine Learning Interview Questions (with answers)

4 Steps To Learn TensorFlow When You Already Know scikit-learn

7 Steps to Mastering Machine Learning With Python

Introduction to Apache Spark with Examples and Use Cases

19 Data Science Tools for people who aren’t so good at Programming
Posted by William at 11:13 PM No comments:
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Labels: AI, Data Science, Deep Learning, interview, Machine Learning, Nathan Benaich, Python, Self-Driving, Spark, TensorFlow, Udacity, Yuxi Li

Saturday, January 21, 2017

Recent Big Data and Machine Learning Info Digest 2017/01/21

Data Science: Identifying Variables That Might Be Better Predictors

Learn TensorFlow and deep learning, without a Ph.D.

Why 2017 is the year of data-driven AI

Rules of Machine Learning: Best Practices for ML Engineering

AI Software Learns to Make AI Software

Designing Neural Network Architectures using Reinforcement Learning

How to present your data science portfolio on Github
Posted by William at 5:28 PM No comments:
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Labels: 2017, AI, CNN, Data Science, Deep Learning, Dell, EMC, Github, Google, MIT, RNN, TensorFlow

Friday, January 13, 2017

Recent Big Data and Machine Learning Info Digest 2017/01/13

Hadoop Is Falling (Adoption has slowed considerably, but is that the fault of the platform?)

Should a machine learning beginner go straight for deep learning?

The major advancements in Deep Learning in 2016

8 data trends on our radar for 2017

Deep Learning Enables You to Hide Screen when Your Boss is Approaching

All Eyes On AI in 2017

Deep Learning in Python: Getting Started

Unlock Value in Massive Datasets (Coursera - Learn fundamental big data methods in six straightforward courses.)

Big Data Platform: Landscape Review by 2017

Python Data Science Handbook
Posted by William at 5:52 PM No comments:
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Labels: 2017, AI, Data Science, Deep Learning, Hadoop, Handbook, Machine Learning, Python, Quora, Trend
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