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
Sunday, February 26, 2017
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
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
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
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
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
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
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
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
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
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
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
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
Labels:
2017,
AI,
Data Science,
Deep Learning,
Hadoop,
Handbook,
Machine Learning,
Python,
Quora,
Trend
Subscribe to:
Posts (Atom)