KDnuggets Home » News » 2017 » Dec » Top Stories, Tweets » Top Stories, Dec 4-10: Using Deep Learning to Solve Real World Problems; Big Data: Main Developments in 2017 and Key Trends in 2018 ( 17:n47 )

Top Stories, Dec 4-10: Using Deep Learning to Solve Real World Problems; Big Data: Main Developments in 2017 and Key Trends in 2018


 
 
Tags:

Also: What is a Bayesian Neural Network?; Today I Built a Neural Network During My Lunch Break with Keras; 4 Common Data Fallacies That You Need To Know; Top 10 Machine Learning Algorithms for Beginners; The 10 Statistical Techniques Data Scientists Need to Master


Most Popular Last Week

  1. increase Top 10 Machine Learning Algorithms for Beginners, by Reena Shaw
  2. new The 10 Statistical Techniques Data Scientists Need to Master, by James Le
  3. new What is a Bayesian Neural Network?
  4. new Using Deep Learning to Solve Real World Problems
  5. new Deep Learning Specialization by Andrew Ng - 21 Lessons Learned
  6. new Why You Should Forget for-loop for Data Science Code and Embrace Vectorization
  7. new Managing Machine Learning Workflows with Scikit-learn Pipelines Part 1: A Gentle Introduction

Most Shared Last Week

  1. Using Deep Learning to Solve Real World Problems, by Matthew Mayo - Dec 04, 2017.
  2. Big Data Big Data: Main Developments in 2017 and Key Trends in 2018, by Matthew Mayo - Dec 05, 2017.
  3. What is a Bayesian Neural Network? - Dec 05, 2017.
  4. Today I Built a Neural Network During My Lunch Break with Keras - Dec 08, 2017.
  5. 4 Common Data Fallacies That You Need To Know - Dec 05, 2017.
  6. Managing Machine Learning Workflows with Scikit-learn Pipelines Part 1: A Gentle Introduction - Dec 07, 2017.
  7. Web Scraping for Data Science with Python - Dec 06, 2017.

Most Popular Past 30 Days

  1. decrease Top 10 Machine Learning Algorithms for Beginners
  2. new The 10 Statistical Techniques Data Scientists Need to Master
  3. new Deep Learning Specialization by Andrew Ng - 21 Lessons Learned
  4. new Best Online Masters in Data Science and Analytics a comprehensive, unbiased survey
  5. decrease 6 Books Every Data Scientist Should Keep Nearby
  6. new A Day in the Life of a Data Scientist
  7. new Machine Learning Algorithms: Which One to Choose for Your Problem

Most Shared Past 30 Days

  1. A Framework for Approaching Textual Data Science Tasks - Nov 22, 2017.
  2. Deep Learning Specialization by Andrew Ng - 21 Lessons Learned - Nov 24, 2017.
  3. Top 10 Videos on Deep Learning in Python - Nov 17, 2017.
  4. Using Deep Learning to Solve Real World Problems - Dec 04, 2017.
  5. Why You Should Forget for-loop for Data Science Code and Embrace Vectorization - Nov 29, 2017.
  6. Automated Feature Engineering for Time Series Data - Nov 20, 2017.
  7. Understanding Deep Convolutional Neural Networks with a practical use-case in Tensorflow and Keras - Nov 29, 2017.



Top Stories Past 30 Days

Most Popular
  1. Machine Learning Cheat Sheets
  2. Essential Math for Data Science: Why and How
  3. 10 Best Mobile Apps for Data Scientist / Data Analysts
  4. 9 Must-have skills you need to become a Data Scientist, updated
  5. 5 Data Science Projects That Will Get You Hired in 2018
  6. How To Learn Data Science If You're Broke
  7. 6 Steps To Write Any Machine Learning Algorithm From Scratch: Perceptron Case Study
Most Shared
  1. You Aren’t So Smart: Cognitive Biases are Making Sure of It
  2. 6 Steps To Write Any Machine Learning Algorithm From Scratch: Perceptron Case Study
  3. A Winning Game Plan For Building Your Data Science Team
  4. How to Create a Simple Neural Network in Python
  5. BIG, small or Right Data: Which is the proper focus?
  6. How To Learn Data Science If You’re Broke
  7. 10 Best Mobile Apps for Data Scientist / Data Analysts

KDnuggets Home » News » 2017 » Dec » Top Stories, Tweets » Top Stories, Dec 4-10: Using Deep Learning to Solve Real World Problems; Big Data: Main Developments in 2017 and Key Trends in 2018 ( 17:n47 )

Get KDnuggets, a leading newsletter on AI, Data Science, and Machine Learning
Sign Up