Top Stories, Oct 28 – Nov 3: 5 Statistical Traps Data Scientists Should Avoid; Top Machine Learning Software Tools for Developers

Also: Why is Machine Learning Deployment Hard?; Data Sources 101; 5 Statistical Traps Data Scientists Should Avoid; Everything a Data Scientist Should Know About Data Management; How to Become a (Good) Data Scientist — Beginner Guide

https://www.kdnuggets.com/2019/11/top-news-week-1028-1103.html

Master Data Engineering with these 6 Sessions at DataHack Summit 2019

Data engineers are a rare breed. Without them, a machine learning project would crumble before it starts. Their knowledge and understanding of software and ...
The post Master Data Engineering with these 6 Sessions at DataHack Summit 2019 appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2019/11/master-data-engineering-6-sessions/

How to Become a Successful Healthcare Data Analyst

Are you interested in starting your career in the data analysis domain? Read this informative blog on how to get your career off the ground.

https://www.kdnuggets.com/2019/11/become-successful-healthcare-data-analyst.html

Probability Learning: Maximum Likelihood

The maths behind Bayes will be better understood if we first cover the theory and maths underlying another fundamental method of probabilistic machine learning: Maximum Likelihood. This post will be dedicated to explaining it.

https://www.kdnuggets.com/2019/11/probability-learning-maximum-likelihood.html

10 Free Must-read Books on AI

Artificial Intelligence continues to fill the media headlines while scientists and engineers rapidly expand its capabilities and applications. With such explosive growth in the field, there is a great deal to learn. Dive into these 10 free books that are must-reads to support your AI study and work.

https://www.kdnuggets.com/2019/11/10-free-must-read-books-ai.html

Scala Traits

Learn about the use of traits in Scala with the help of syntactic examples.

https://www.datacamp.com/community/tutorials/scala-traits

Learn How to Perform Feature Extraction from Graphs using DeepWalk

Overview Extracting features from tabular or image data is a well-known concept – but what about graph data? Learn how to extract features from ...
The post Learn How to Perform Feature Extraction from Graphs using DeepWalk appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2019/11/graph-feature-extraction-deepwalk/

KDnuggets™ News 19:n42, Nov 6: 5 Statistical Traps Data Scientists Should Avoid; 10 Free Must-Read Books on AI

Learn about statistical fallacies Data Scientists should avoid; New and quite amazing Deep Learning capabilities FB has been quietly open-sourcing; Top Machine Learning tools for Developers; How to build a Neural Network from scratch and more.

https://www.kdnuggets.com/2019/n42.html

The Last Defense Against Another AI Winter

My short answer is this: Yes, another AI Winter will be here if you don’t deploy more ML solutions. You and your Data Science teams are the last line of defense against the AI Winter. You need to solve five key challenges to keep the momentum up.

https://www.kdnuggets.com/2019/11/last-defense-another-ai-winter.html

DataCamp’s New Mobile Coding Courses are Optimized for Learning On the Go

The only app that teaches data science and analytics by writing actual code—optimized for mobile and fully integrated with desktop.

https://www.datacamp.com/community/blog/mobile-coding-courses

Research Guide: Advanced Loss Functions for Machine Learning Models

This guide explores research centered on a variety of advanced loss functions for machine learning models.

https://www.kdnuggets.com/2019/11/research-guide-advanced-loss-functions-machine-learning-models.html

An Eight-Step Checklist for An Analytics Project

Follow these eight headings of an audit sheet that business analysts should address before submitting the results of their analytics project. One recommended approach is to rewrite each step as a question, answer it, and then attach it to your project.

https://www.kdnuggets.com/2019/11/checklist-analytics-project.html

Meet Neebo: The Virtual Analytics Hub

Neebo is a SaaS solution that enables analytics teams to connect to, find, combine and collaborate on trusted data assets in hybrid cloud landscapes, and provides a unified access point where they can more effectively leverage all their analytics assets and knowledge. In this blog, we will highlight some of the features of Neebo and how they can completely transform the way analytics teams operate.

https://www.kdnuggets.com/2019/11/neebo-virtual-analytics-hub.html

Top KDnuggets tweets, Oct 30 – Nov 05: Everything a Data Scientist Should Know About Data Management

Which Data Science Skills are core and which are hot/emerging ones?; The 4 Quadrants of Data Science Skills and 7 Principles for Creating a Viral DataViz; Microsoft open sources #SandDance, a visual data exploration tool.

https://www.kdnuggets.com/2019/11/top-tweets-oct30-nov05.html

4 Proven Tricks to Improve your Deep Learning Model’s Performance

Overview Deep learning is a vast field but there are a few common challenges most of us face when building models Here, we talk ...
The post 4 Proven Tricks to Improve your Deep Learning Model’s Performance appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2019/11/4-tricks-improve-deep-learning-model-performance/

How to Create a Vocabulary for NLP Tasks in Python

This post will walkthrough a Python implementation of a vocabulary class for storing processed text data and related metadata in a manner useful for subsequently performing NLP tasks.

https://www.kdnuggets.com/2019/11/create-vocabulary-nlp-tasks-python.html

Set Operations Applied to Pandas DataFrames

In this tutorial, we show how to apply mathematical set operations (union, intersection, and difference) to Pandas DataFrames with the goal of easing the task of comparing the rows of two datasets.

https://www.kdnuggets.com/2019/11/set-operations-applied-pandas-dataframes.html

Data Cleaning and Preprocessing for Beginners

Careful preprocessing of data for your machine learning project is crucial. This overview describes the process of data cleaning and dealing with noise and missing data.

https://www.kdnuggets.com/2019/11/data-cleaning-preprocessing-beginners.html

Monitoring Models at Scale

Catch this Domino webinar on monitoring models at scale, Dec 11 @ 10am PT, covering detecting changes in pattern of real-world data your models are seeing in production, tracking how model accuracy and other quality metrics are changing over time, and getting alerted when health checks fail so that resolution workflows can be triggered.

https://www.kdnuggets.com/2019/11/domino-monitoring-models-at-scale.html

3 Reasons to attend Data Natives, 25-26 November, Berlin

Data Natives is an outstanding conference that lets you meet many talented Data Scientists and Data Professionals. Find your dream company or your dream employee and level up for 2020. Use code DN19_KDNuggets_50 to save.

https://www.kdnuggets.com/2019/11/data-natives-november-berlin.html

Orchestrating Dynamic Reports in Python and R with Rmd Files

Do you want to extract csv files with Python and visualize them in R? How does preparing everything in R and make conclusions with Python sound? Both are possible if you know the right libraries and techniques. Here, we’ll walk through a use-case using both languages in one analysis

https://www.kdnuggets.com/2019/11/orchestrating-dynamic-reports-python-r-rmd-files.html