Showing posts with label Data Science. Show all posts
Showing posts with label Data Science. Show all posts
Sunday, July 16, 2017
Recent AI, Big Data and Machine Learning Info Digest 2017/07/16
New Frontiers for Deep Learning in Robotics
In this workshop a wide range of renowned experts will discuss deep learning techniques at the frontier of research that are not yet widely adopted, discussed, or well-known in our community.
How AI And Deep Learning Are Now Used To Diagnose Cancer
Without a doubt one of the most exciting potential uses for AI (Artificial Intelligence) and in particular deep learning is in healthcare.
Lecture note <Brief Introduction to Machine Learning without Deep Learning>
By KyungHyun Cho All the things you need to know in order to become a certified ML scientist can be found there.
Data Preparation for Data Science: A Field Guide
Casey Stella presents a utility written with Apache Spark to automate data preparation, discovering missing values, values with skewed distributions and discovering likely errors within data.
Winning Strategies for Applied AI Companies
The aim of this post is to disclose a framework we have built when we look at Applied AI companies.
Labels:
AI,
Cancer,
Data Science,
Deep Learning,
Healthcare,
Robotics,
Spark
Tuesday, July 4, 2017
Recent AI, Big Data and Machine Learning Info Digest 2017/07/04
How to build a data science pipeline
Start with y. Concentrate on formalizing the predictive problem, building the workflow, and turning it into production rather than optimizing your predictive model. Once the former is done, the latter is easy.
How Deep Learning Is Personalizing the Internet
Personalization is no doubt one of the strongest imperatives today in the internet industry as a whole and deep learning almost certainly holds tremendous potential in this area. Therefore, businesses that aim to remain on the cutting edge need to keep an eye out for advancements in the field.
3 Massive Big Data Problems Everyone Should Know About
There are 3 Big Data concerns that should keep people up at night: Data Privacy, Data Security and Data Discrimination.
Deep Learning Research Review Week 2: Reinforcement Learning
This is the 2nd installment of a new series called Deep Learning Research Review by Adit Deshpande . This week he focuses on Reinforcement Learning.
Hands on with Deep Learning – Solution for Age Detection Practice Problem
In this article, Faizan Shaikh explained a simple benchmark solution for Age Detection Practice Problem.
Architecture of Convolutional Neural Networks (CNNs) demystified
Dishashree Gupta provides an intuition into convolutional neural networks by not going into the complex mathematics of CNN.
Sunday, March 19, 2017
Recent AI, Big Data and Machine Learning Info Digest 2017/03/19
How to Get a Data Science Job: A Ridiculously Specific Guide
Introducing Similarity Search at Flickr
Squeezing Deep Learning Into Mobile Phones
5 algorithms to train a neural network
IPython and Jupyter Notebook
Pandas & Seaborn - A guide to handle & visualize data elegantly
Naked Tensor
Ideas on interpreting machine learning
Introducing Similarity Search at Flickr
Squeezing Deep Learning Into Mobile Phones
5 algorithms to train a neural network
IPython and Jupyter Notebook
Pandas & Seaborn - A guide to handle & visualize data elegantly
Naked Tensor
Ideas on interpreting machine learning
Labels:
Algorithms,
Data Science,
Deep Learning,
Flickr,
IPython,
Jupyter Notebook,
Machine Learning,
Mobile,
Pandas,
Seaborn,
TensorFlow
Sunday, March 5, 2017
Recent AI, Big Data and Machine Learning Info Digest 2017/03/05
The Black Magic of Deep Learning - Tips and Tricks for the practitioner
How is Deep Learning Changing Data Science Paradigms?
GPUs are now available for Google Compute Engine and Cloud Machine Learning
Bare bones Python implementations of some of the foundational Machine Learning models and algorithms
How to start a Data Science project in Python
Pandas Cheat Sheet - Python for Data Science
Artificial intelligence: Understanding how machines learn
How is Deep Learning Changing Data Science Paradigms?
GPUs are now available for Google Compute Engine and Cloud Machine Learning
Bare bones Python implementations of some of the foundational Machine Learning models and algorithms
How to start a Data Science project in Python
Pandas Cheat Sheet - Python for Data Science
Artificial intelligence: Understanding how machines learn
Labels:
AI,
Cheat Sheet,
Data Science,
Deep Learning,
Google,
GPU,
Machine Learning,
Pandas,
Python,
Tips
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
Saturday, December 31, 2016
Recent Big Data and Machine Learning Info Digest 2016/12/31
Why Big Data is in Trouble: They Forgot About Applied Statistics
Is Data Science Ripe for a Massive Merger & Acquisition / Consolidation?
A Guide to Deep Learning by YN2
Predictions for Deep Learning in 2017
Top 30 Data Science Articles of the Year
28 Jupyter Notebook tips, tricks and shortcuts
Practical Deep Learning For Coders, Part 1
Is Data Science Ripe for a Massive Merger & Acquisition / Consolidation?
A Guide to Deep Learning by YN2
Predictions for Deep Learning in 2017
Top 30 Data Science Articles of the Year
28 Jupyter Notebook tips, tricks and shortcuts
Practical Deep Learning For Coders, Part 1
Labels:
2017,
Big Data,
Data Science,
Deep Learning,
IBM,
Jeremy Howard,
Jupyter Notebook,
Prediction
Sunday, December 18, 2016
Recent Big Data and Machine Learning Info Digest 2016/12/18
The major advancements in Deep Learning in 2016
Three Major Benefits of Big Data
Comprehensive learning path – Data Science in Python
Apache Spark: A Unified Engine for Big Data Processing
Why Deep Learning is Radically Different from Machine Learning
The Most Boring/Valuable Data Science Advice
Three Major Benefits of Big Data
Comprehensive learning path – Data Science in Python
Apache Spark: A Unified Engine for Big Data Processing
Why Deep Learning is Radically Different from Machine Learning
The Most Boring/Valuable Data Science Advice
Labels:
2016,
Big Data,
Data Science,
Deep Learning,
Machine Learning,
Python,
Spark
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?
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?
Labels:
AI,
Big Data,
Data Science,
Hacker News,
IDC,
Machine Learning,
White House,
ZDnet
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
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
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
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
Saturday, June 25, 2016
Recent Big Data and Machine Learning Info Digest 2016/06/25
Spark Makes Inroads into NoSQL Ecosystem
RPy2: Combining the Power of R + Python for Data Science
Deep Learning for Recommender Systems - Budapest RecSys Meetup
FOR DATA WORK, “IT’S ACTUALLY PRETTY HARD TO ARGUE *AGAINST* USING PYTHON”
A poet does TensorFlow
Hello, TensorFlow!
Data Mining Reveals the Crucial Factors That Determine When People Make Blunders
RPy2: Combining the Power of R + Python for Data Science
Deep Learning for Recommender Systems - Budapest RecSys Meetup
FOR DATA WORK, “IT’S ACTUALLY PRETTY HARD TO ARGUE *AGAINST* USING PYTHON”
A poet does TensorFlow
Hello, TensorFlow!
Data Mining Reveals the Crucial Factors That Determine When People Make Blunders
Labels:
Data Science,
Deep Learning,
NoSQL,
Python,
R,
Recommendation,
Spark,
TensorFlow
Saturday, April 16, 2016
Recent Big Data and Machine Learning Info Digest 2016/04/16
Google launches distributed version of its TensorFlow machine learning system
Step-by-step video courses for Deep Learning and Machine Learning
The 5-Minute Guide to Understanding the Significance of Apache Spark
A Pocket Guide to Data Science
Step-by-step video courses for Deep Learning and Machine Learning
The 5-Minute Guide to Understanding the Significance of Apache Spark
A Pocket Guide to Data Science
Labels:
Data Science,
Google,
Guide,
Machine Learning,
Spark,
TensorFlow
Monday, April 11, 2016
Recent Big Data and Machine Learning Info Digest 2016/04/11
Data in the emerging world of stream processing
13 Machine Learning & Data Science Startups from Y Combinator Winter 2016
Doing Data Science Right — Your Most Common Questions Answered
THE YEAR DATA STREAMING BECOMES MAINSTREAM
A Complete Tutorial to learn Data Science in R from Scratch
A Complete Tutorial to Learn Data Science with Python from Scratch
13 Machine Learning & Data Science Startups from Y Combinator Winter 2016
Doing Data Science Right — Your Most Common Questions Answered
THE YEAR DATA STREAMING BECOMES MAINSTREAM
A Complete Tutorial to learn Data Science in R from Scratch
A Complete Tutorial to Learn Data Science with Python from Scratch
Labels:
Confluent,
Data Science,
Kafka,
LinkedIn,
Machine Learning,
Python,
R,
Streaming,
Y Combinator
Saturday, March 19, 2016
Recent Big Data and Machine Learning Info Digest 2016/03/19
NOT A DATA SCIENTIST? YOU CAN STILL BE DATA SAVVY
Why Hadoop Must Evolve Toward Greater Simplicity
Big Data Insights - IT Support Log Analysis
Engineers Shouldn’t Write ETL: A Guide to Building a High Functioning Data Science Department
Why Hadoop Must Evolve Toward Greater Simplicity
Big Data Insights - IT Support Log Analysis
Engineers Shouldn’t Write ETL: A Guide to Building a High Functioning Data Science Department
Sunday, March 13, 2016
Recent Big Data and Machine Learning Info Digest 2016/03/13
BEGINNER’S GUIDE TO THE HISTORY OF DATA SCIENCE
Spark and big data discovery: An evolutionary perspective
Instagram Surveillance: How Data Analysts Link Your Photos To Your Credit Card Purchases
HADOOP AND SPARK: A MATCH MADE IN (BIG DATA) HEAVEN
Spark and big data discovery: An evolutionary perspective
Instagram Surveillance: How Data Analysts Link Your Photos To Your Credit Card Purchases
HADOOP AND SPARK: A MATCH MADE IN (BIG DATA) HEAVEN
Tuesday, February 23, 2016
Recent Big Data and Machine Learning Info Digest 2016/02/23
8 Ways To Monetize Data
50 Years of Data Science by David Donoho
Facebook Says It Has Created The Most Accurate Population Density Models Ever
Top 10 Quora Machine Learning Writers and Their Best Advice
Top 10 Data Mining Algorithms, Explained
Advanced Analytics Software’s Most Important Feature? Gartner Says it’s VCF
50 Years of Data Science by David Donoho
Facebook Says It Has Created The Most Accurate Population Density Models Ever
Top 10 Quora Machine Learning Writers and Their Best Advice
Top 10 Data Mining Algorithms, Explained
Advanced Analytics Software’s Most Important Feature? Gartner Says it’s VCF
Labels:
Algorithms,
Data Mining,
Data Science,
David Donoho,
Facebook,
Gartner,
MIT,
Quora,
VCF
Wednesday, January 27, 2016
Recent Big Data and Machine Learning Info Digest 2016/01/27
Labels:
AI,
Big Data,
Blockchain,
Certification,
Data Science,
Kaggle,
Marvin Minsky,
Online Course,
R,
recipes
Subscribe to:
Posts (Atom)

