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

Top December Stories: What is a Data Scientist Worth? AI, ML, DS, DL Research Main Developments and Key Trends

Also: Google's New Explainable AI Service; 10 Free Top Notch Machine Learning Courses.

https://www.kdnuggets.com/2020/01/top-stories-2019-dec.html

What are Generative Models and GANs? The Magic of Computer Vision

Overview Generative models and GANs are at the core of recent progress in computer vision applications This article will introduce you to the world ...
The post What are Generative Models and GANs? The Magic of Computer Vision appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2020/01/generative-models-gans-computer-vision/

Uber Creates Generative Teaching Networks to Better Train Deep Neural Networks

The new technique can really improve how deep learning models are trained at scale.

https://www.kdnuggets.com/2020/01/uber-generative-teaching-networks-train-neural-networks.html

Graph Machine Learning Meets UX: An uncharted love affair

When machine learning tools are developed by technology first, they risk failing to deliver on what users actually need. It can also be difficult for development teams to establish meaningful direction. This article explores the challenges of designing an interface that enables users to visualise and interact with insights from graph machine learning, and explores the very new, uncharted relationship between machine learning and UX.

https://www.kdnuggets.com/2020/01/graph-machine-learning-ux.html

Top Stories, Jan 6-12: Top 5 must-have Data Science skills for 2020; 7 Resources to Becoming a Data Engineer

Also: The Book to Start You on Machine Learning; An Introductory Guide to NLP for Data Scientists with 7 Common Techniques; A Comprehensive Guide to Natural Language Generation; The Book to Start You on Machine Learning; 10 Python Tips and Tricks You Should Learn Today

https://www.kdnuggets.com/2020/01/top-news-week-0106-0112.html

Idiot’s Guide to Precision, Recall, and Confusion Matrix

Building Machine Learning models is fun, but making sure we build the best ones is what makes a difference. Follow this quick guide to appreciate how to effectively evaluate a classification model, especially for projects where accuracy alone is not enough.

https://www.kdnuggets.com/2020/01/guide-precision-recall-confusion-matrix.html

Statistical Thinking for Industrial Problem Solving: a free online course.

This online course is available – for free – to anyone interested in building practical skills in using data to solve problems better.

https://www.kdnuggets.com/2020/01/jmp-statistical-thinking-free-course.html

Building Machine Learning Pipelines and AI in Retail – A Powerful Interview with Rossella Blatt Vital

Overview How do machine learning pipelines work? What’s the role of AI in retail? How important is ethics in this field? We are thrilled ...
The post Building Machine Learning Pipelines and AI in Retail – A Powerful Interview with Rossella Blatt Vital appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2020/01/building-machine-learning-pipelines-interview-rossella-blatt-vital/

Decision Tree Algorithm, Explained

All you need to know about decision trees and how to build and optimize decision tree classifier.

https://www.kdnuggets.com/2020/01/decision-tree-algorithm-explained.html

Leveraging Data to Build Africa’s Economic Future: Part One

Q&A with Richmond Chris-Koka, Data Engineering Graduate at Blossom Academy

https://www.datacamp.com/community/blog/blossom-academy-q-a-part-1

7 AI Use Cases Transforming Live Sports Production and Distribution

Here are 7 powerful AI led use cases both for linear television and for OTT apps that are transforming the live sports production landscape.

https://www.kdnuggets.com/2020/01/7-ai-use-cases-transforming-live-sports-production-distribution.html

Survey Segmentation Tutorial

Learn the basics of verifying segmentation, analyzing the data, and creating segments in this tutorial. When reviewing survey data, you will typically be handed Likert questions (e.g., on a scale of 1 to 5), and by using a few techniques, you can verify the quality of the survey and start grouping respondents into populations.

https://www.kdnuggets.com/2020/01/survey-segmentation-tutorial.html

5 Thoughts on How to Transition into Data Science from Different Backgrounds

Overview Looking to transition into data science? Here are 5 paths for a non-data science person to land a role in this space The ...
The post 5 Thoughts on How to Transition into Data Science from Different Backgrounds appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2020/01/how-to-transition-data-science-different-backgrounds/

KDnuggets™ News 20:n02, Jan 15: Top 5 Must-have Data Science Skills; Learn Machine Learning with THIS Book

This week: learn the 5 must-have data science skills for the new year; find out which book is THE book to get started learning machine learning; pick up some Python tips and tricks; learn SQL, but learn it the hard way; and find an introductory guide to learning common NLP techniques.

https://www.kdnuggets.com/2020/n02.html