[unable to retrieve full-text content]Whether you need a career boost or are looking to train employees, our flexible Data Analytics and Visualization program will help train effective, nimble leaders in data analytics.
Original Post: MS in Data Analytics and Visualization, Online or NYC
[unable to retrieve full-text content]As a data scientist — or someone interested in the field — you know the industry is constantly evolving. If you want to remain competitive, you need to keep up with popular trends.
Original Post: 5 Key Data Science Job Market Trends
[unable to retrieve full-text content]Data Engineering: The Close Cousin of Data Science.
Original Post: A Beginner’s Guide to Data Engineering – Part I
[unable to retrieve full-text content]In order for a data scientist to grow, they need to be challenged beyond the technical aspects of their jobs. They need to question their data sources, be concise in their insights, know their business and help guide their leaders.
Original Post: How To Grow As A Data Scientist
[unable to retrieve full-text content]Also: Advice For New and Junior #DataScientists; 5 EBooks to Read Before Getting into A #MachineLearning Career; #Blockchain or Bullshit; 30 Essential #DataScience, #MachineLearning & #DeepLearning Cheat Sheets
Original Post: Top KDnuggets tweets, Nov 17 – 23: 10 Free #MachineLearning and #DataScience Books; Fundamental #Python #DataScience Libraries: A Cheatsheet #pandas
[unable to retrieve full-text content]Join Team Anaconda for a live webinar, Jan 30, 2pm CT, as we tackle the four main concerns we hear from our customers and show you best practices for managing enterprise data science: scalability, security, integration, and governance.
Original Post: Operational Best Practices for Enterprise Data Science
[unable to retrieve full-text content]Gradient Boosting in TensorFlow vs XGBoost; Managing Machine Learning Workflows with Scikit-learn Pipelines Part 2; Using Genetic Algorithm for Optimizing Recurrent Neural Networks; The Value of Semi-Supervised Machine Learning; Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI
Original Post: KDnuggets™ News 18:n04, Jan 24: TensorFlow vs XGBoost; Machine Learning Pipelines in Python; Semi-Supervised Machine Learning
[unable to retrieve full-text content]Take advantage of this huge opportunity and enhance your skill set with a 30-credit Master’s in Data Analytics degree from Penn State World Campus, offered entirely online.
Original Post: Graduate programs in Data Analytics – 100% online
[unable to retrieve full-text content]In this tutorial, we are going to show you how to work with Excel files in pandas, covering computer setup, reading in data from Excel files into pandas, data exploration in pandas, and more.
Original Post: Using Excel with Pandas
[unable to retrieve full-text content]In this tutorial I want to show how you can implement a skip gram model in tensorflow to generate word vectors for any text you are working with and then use tensorboard to visualize them.
Original Post: Training and Visualising Word Vectors