KDnuggets™ News 20:n26, Jul 8: Speed up Your Numpy and Pandas; A Layman’s Guide to Data Science; Getting Started with TensorFlow 2
Speed up your Numpy and Pandas with NumExpr Package; A Layman's Guide to Data Science. Part 3: Data Science Workflow; Getting Started with TensorFlow 2; Feature Engineering in SQL and Python: A Hybrid Approach; Deploy Machine Learning Pipeline on AWS Fargate
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This week: We show how to significantly speed up your mathematical calculations in Numpy and Pandas using a small library; Learn and appreciate the typical workflow for a data science project, including data preparation, analysis, reflection, and communication of the results; Learn about the latest version of TensorFlow with a handson walkthrough of implementing a classification problem with deep learning; See a hybrid approach to feature engineering in SQL and Python; Read a stepbystep beginner's guide to containerize and deploy ML pipeline serverless on AWS Fargate.
Features
 Speed up your Numpy and Pandas with NumExpr Package
 A Layman's Guide to Data Science. Part 3: Data Science Workflow
 Getting Started with TensorFlow 2
 Feature Engineering in SQL and Python: A Hybrid Approach
 Deploy Machine Learning Pipeline on AWS Fargate
News
 5th International Summer School 2020 on Resourceaware Machine Learning (REAML)
 Innovating versus Doing: NLP and CORD19
 Lynx Analytics is opensourcing LynxKite, its Complete Graph Data Science Platform
 Five Lines of Code
Tutorials, Overviews
 Some Things Uber Learned from Running Machine Learning at Scale
 A Complete Guide To Survival Analysis In Python, part 1
 PyTorch for Deep Learning: The Free eBook
 Exploratory Data Analysis on Steroids
 Generating cooking recipes using TensorFlow and LSTM Recurrent Neural Network: A stepbystep guide
 PyTorch MultiGPU Metrics Library and More in New PyTorch Lightning Release
 Data Cleaning: The secret ingredient to the success of any Data Science Project
 Software engineering fundamentals for Data Scientists
 How to Prepare Your Data
 Learn Data Science from Top Universities for Free
 An Introduction to Statistical Learning: The Free eBook
 Practical Markov Chain Monte Carlo
 Free Economics & Finance Courses for Data Scientists
 Build a Branded Web Based GIS Application Using R, Leaflet and Flexdashboard
 The 8 Basic Statistics Concepts for Data Science
 Time Complexity: How to measure the efficiency of algorithms
Opinions
 Scope and Impact of AI in Agriculture
 Data Scientists Have Developed a Faster Way to Reduce Pollution, Cut Greenhouse Gas Emissions
 Largest Dataset Analyzed  Poll Results and Trends
 How to Build Your Data Science Competency for PostCOVID Future
 Stop training more models, start deploying them
 The Unreasonable Progress of Deep Neural Networks in Natural Language Processing (NLP)
 How Much Math do you need in Data Science?
 Exploring the Real World of Data Science
 Data Science Tools Popularity, animated
 Learning by Forgetting: Deep Neural Networks and the Jennifer Aniston Neuron
 Machine Learning Engineer vs Data Scientist (Is Data Science Over?)
Top Stories, Tweets
 Top Stories, Jun 29  Jul 5: Speed up your Numpy and Pandas with NumExpr Package; Deploy Machine Learning Pipeline on AWS Fargate
 Top Stories, Jun 2228: How Much Math do you need in Data Science?
 Top KDnuggets tweets, Jun 1723: The Best NLP with Deep Learning Course is Free
Jobs
 See our recent jobs in AI, Analytics, Data Science, Machine Learning
 You can post a free short entry on KDnuggets jobs page for an industry or academic job related to AI, Big Data, Data Science, or Machine Learning, email  see details at kdnuggets.com/jobs
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From A Layman’s Guide to Data Science. Part 3: Data Science Workflow
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