How to Build Your Own Logistic Regression Model in Python

A hands on guide to Logistic Regression for aspiring data scientist and machine learning engineer.

https://www.kdnuggets.com/2019/10/build-logistic-regression-model-python.html

How Data Labeling Facilitates AI Models

AI-based models are highly dependent on accurate, clean, well-labeled, and prepared data in order to produce the desired output and cognition. These models are fed with bulky datasets covering an array of probabilities and computations to make its functioning as smart and gifted as human intelligence.

https://www.kdnuggets.com/2019/10/data-labeling-facilitates-ai-models.html

How to Make an Agile Team Work for Big Data Analytics

Learn how to approach the challenges when merging an agile methodology into a data science team to bring out the best value your Big Data products.

https://www.kdnuggets.com/2019/10/agile-team-big-data-analytics.html

Which Data Science Skills are core and which are hot/emerging ones? – By Region and Employment

These results will go into each each region and employment type to find out the differences and similarities especially between people from Industry and Students.

https://www.kdnuggets.com/2019/10/core-hot-data-science-skills-continued.html

What is Machine Learning on Code?

Not only can MLonCode help companies streamline their codebase and software delivery processes, but it also helps organizations better understand and manage their engineering talents.

https://www.kdnuggets.com/2019/11/machine-learning-code-mloncode.html

MLOps for production-level machine learning

This live webinar, Nov 14 @ 12pm EST, on MLOps for production-level machine learning, will detail MLOps, a compound of “machine learning” and “operations”, a practice for collaboration and communication between data scientists and operations professionals to help manage the production machine learning lifecycle. Register now.

https://www.kdnuggets.com/2019/11/cnvrg-mlops-production-machine-learning.html

Build an Artificial Neural Network From Scratch: Part 1

This article focused on building an Artificial Neural Network using the Numpy Python library.

https://www.kdnuggets.com/2019/11/build-artificial-neural-network-scratch-part-1.html

Top Machine Learning Software Tools for Developers

As a developer who is excited about leveraging machine learning for faster and more effective development, these software tools are worth trying out.

https://www.kdnuggets.com/2019/11/top-machine-learning-software-developers.html

6 Exciting Open Source Data Science Projects you Should Start Working on Today

Overview Here are six open-source data science projects to enhance your skillset These projects cover a diverse set of domains, from computer vision to ...
The post 6 Exciting Open Source Data Science Projects you Should Start Working on Today appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2019/11/6-open-source-data-science-projects/

Facebook Has Been Quietly Open Sourcing Some Amazing Deep Learning Capabilities for PyTorch

The new release of PyTorch includes some impressive open source projects for deep learning researchers and developers.

https://www.kdnuggets.com/2019/11/facebook-quietly-open-sourcing-amazing-deep-learning-capabilities-pytorch.html

Customer Segmentation Using K Means Clustering

Customer Segmentation can be a powerful means to identify unsatisfied customer needs. This technique can be used by companies to outperform the competition by developing uniquely appealing products and services.

https://www.kdnuggets.com/2019/11/customer-segmentation-using-k-means-clustering.html

Designing Your Neural Networks

Check out this step-by-step walk through of some of the more confusing aspects of neural nets to guide you to making smart decisions about your neural network architecture.

https://www.kdnuggets.com/2019/11/designing-neural-networks.html

New Track: Big Data with PySpark

Become proficient in Apache Spark in Python with our first data engineering skill track.

https://www.datacamp.com/community/blog/big-data-with-pyspark

Practical Computer Vision Course with Real-Life Cases, Nov 18, Washington, DC

This course, Practical Computer Vision Course with Real-Life Cases, Nov 18 in Washington, DC, will move you on the next step, providing you with practical means of solving business-specific tasks.Reserve your seat now.

https://www.kdnuggets.com/2019/11/altoros-computer-vision-washington-dc.html

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/