Introducing Generalized Integrated Gradients (GIG): A Practical Method for Explaining Diverse Ensemble Machine Learning Models

There is a need for a new way to explain complex, ensembled ML models for high-stakes applications such as credit and lending. This is why we invented GIG.

https://www.kdnuggets.com/2020/01/generalized-integrated-gradients-explaining-ensemble-models.html

A Comprehensive Guide to Natural Language Generation

Follow this overview of Natural Language Generation covering its applications in theory and practice. The evolution of NLG architecture is also described from simple gap-filling to dynamic document creation along with a summary of the most popular NLG models.

https://www.kdnuggets.com/2020/01/guide-natural-language-generation.html

Python vs. R for Data Science: What’s the Difference?

Here’s how to determine when to use the two most popular languages for data science: Python and R.

https://www.datacamp.com/community/blog/when-to-use-python-or-r

7 Resources to Becoming a Data Engineer

An estimated 8,650% growth of the volume of Data to 175 zetabytes from 2010 to 2025 has created an enormous need for Data Engineers to build an organization's big data platform to be fast, efficient and scalable.

https://www.kdnuggets.com/2020/01/resources-become-data-engineer.html

5 Hands-on Skills Every Data Scientist Needs in 2020 – Coming to ODSC East

Here are our top five hands-on training focus areas that every data scientist should know and that we’re paying extra attention to at ODSC East 2020 this April 13-17 in Boston.

https://www.kdnuggets.com/2020/01/odsc-5-skills-every-data-scientist-needs.html

A Comprehensive Learning Path to Understand and Master NLP in 2020

Introduction Google “NLP jobs” and a remarkable number of relevant searches show up. There are businesses spinning up around the world that cater exclusively ...
The post A Comprehensive Learning Path to Understand and Master NLP in 2020 appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2020/01/learning-path-nlp-2020/

10 Python Tips and Tricks You Should Learn Today

Check out this collection of 10 Python snippets that can be taken as a reference for your daily work.

https://www.kdnuggets.com/2020/01/10-python-tips-tricks-learn-today.html

KDnuggets™ News 20:n01, Jan 8: How to “Ultralearn” Data Science; How teams do AutoML?

First issue of 2020 brings you a summary of how to "Ultralearn" Data Science - for those in a hurry; Explains how teams work on AutoML project; Why Python is a preferred language for Data Science; and a cartoon on teaching ethics to AI.

https://www.kdnuggets.com/2020/n01.html

Learning SQL the Hard Way

Simply put: This post is about installing SQL, explaining SQL and running SQL.

https://www.kdnuggets.com/2020/01/learning-sql-hard-way.html

Top 5 must-have Data Science skills for 2020

The standard job description for a Data Scientist has long highlighted skills in R, Python, SQL, and Machine Learning. With the field evolving, these core competencies are no longer enough to stay competitive in the job market.

https://www.kdnuggets.com/2020/01/top-5-data-science-skills-2020.html

Time Series Analysis with Spreadsheets

In this tutorial, you'll learn basic time-series concepts and basic methods for forecasting time series data using spreadsheets.

https://www.datacamp.com/community/tutorials/time-series-analysis-with-spreadsheets

Top KDnuggets tweets, Jan 01-07: Introduction to Data Visualization and Storytelling: A Guide For The Data Scientist eBook

Introduction to Data Visualization & Storytelling;The Data Science Interview Study Guide; Why Kaggle will NOT make you a great Data Scientist; Cartoon: Teaching Ethics to AI

https://www.kdnuggets.com/2020/01/top-tweets-jan01-07.html

Here’s your Learning Path to Master Computer Vision in 2020

Introduction There are an overwhelming number of resources out there these days to learn computer vision concepts. How do you pick and choose from ...
The post Here’s your Learning Path to Master Computer Vision in 2020 appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2020/01/computer-vision-learning-path-2020/

Stock Market Forecasting Using Time Series Analysis

Time series analysis will be the best tool for forecasting the trend or even future. The trend chart will provide adequate guidance for the investor. So let us understand this concept in great detail and use a machine learning technique to forecast stocks.

https://www.kdnuggets.com/2020/01/stock-market-forecasting-time-series-analysis.html

The Book to Start You on Machine Learning

This book is thought for beginners in Machine Learning, that are looking for a practical approach to learning by building projects and studying the different Machine Learning algorithms within a specific context.

https://www.kdnuggets.com/2020/01/book-start-machine-learning.html

An Introductory Guide to NLP for Data Scientists with 7 Common Techniques

Data Scientists work with tons of data, and many times that data includes natural language text. This guide reviews 7 common techniques with code examples to introduce you the essentials of NLP, so you can begin performing analysis and building models from textual data.

https://www.kdnuggets.com/2020/01/intro-guide-nlp-data-scientists.html

Fast Track Your Data Science Career

Earn a Master of Professional Studies in Data Analytics online through Penn State World Campus – and you can add in-demand skills to your wheelhouse while you continue to work.

https://www.kdnuggets.com/2020/01/psu-fast-track-data-science-career.html

Choosing Python or R for Data Analysis? An Infographic

Wondering whether you should use Python or R for data analysis? You’ve come to the right place.

https://www.datacamp.com/community/tutorials/r-or-python-for-data-analysis

7 Steps to a Job-winning Data Science Resume

A resume plays a key role in bagging that dream data science job. We break down the nuances of a job-winning data science resume so that you can go ahead and transform your own resume.

https://www.kdnuggets.com/2020/01/7-steps-job-winning-data-science-resume.html

Deepfakes Security Risks

Deepfakes have instilled panic in experts since they first emerged in 2017. Microsoft and Facebook have recently announced a contest to identify deepfakes more efficiently.

https://www.kdnuggets.com/2020/01/deepfakes-security-risks.html

Applying Occam’s razor to Deep Learning

Finding a deep learning model to perform well is an exciting feat. But, might there be other -- less complex -- models that perform just as well for your application? A simple complexity measure based on the statistical physics concept of Cascading Periodic Spectral Ergodicity (cPSE) can help us be computationally efficient by considering the least complex during model selection.

https://www.kdnuggets.com/2020/01/occams-razor-deep-learning.html