- How A Single Source of Truth Can Benefit Your Organization
- Aug 7, 2020.
A single source of truth provides stakeholders with a clear picture of the enterprise assets and the potential complications that can disrupt the data strategy. Find out how you can implement this single source of truth in your enterprise ecosystem.
Tags: Business Intelligence, Data Management, Data Quality, Decision Making
- The Uncommon Data Science Job Guide
- Aug 7, 2020.
With the job landscape in Data Science becoming hyper-competitive, there are clear strategies you can consider to find your way to snagging a position in the field.
Tags: Career, Career Advice, Data Science, Jobs
- Batch Normalization in Deep Neural Networks
- Aug 7, 2020.
Batch normalization is a technique for training very deep neural networks that normalizes the contributions to a layer for every mini batch.
Tags: Deep Learning, Neural Networks, Normalization, Regularization
- Containerization of PySpark Using Kubernetes
- Aug 6, 2020.
This article demonstrates the approach of how to use Spark on Kubernetes. It also includes a brief comparison between various cluster managers available for Spark.
Tags: Apache Spark, Containers, Kubernetes
- Essential Data Science Tips: How to Use One-Vs-Rest and One-Vs-One for Multi-Class Classification
- Aug 6, 2020.
Classification, as a predictive model, involves aligning each class label to examples. Algorithms designed for binary classification cannot be applied to multi-class classification problems. For such situations, heuristic methods come in handy.
Tags: Classification, Machine Learning
- Metrics to Use to Evaluate Deep Learning Object Detectors
- Aug 6, 2020.
It's important to understand which metric should be used to evaluate trained object detectors and which one is more important. Is mAP alone enough to evaluate the objector models? Can the same metric be used to evaluate object detectors on validation set and test set?
Tags: Computer Vision, Deep Learning, Metrics, Object Detection
- Top KDnuggets tweets, Jul 29 – Aug 04: Awesome Machine Learning and AI Courses
- Aug 5, 2020.
Also: Why You Should Get Google’s New Machine Learning Certificate; A Tour of End-to-End Machine Learning Platforms; Want to become a #DataAnalyst, #DataScientist or #DataEngineer? Learn #SQL, and other insights from ~9K job postings; Left for Dead, R #rstats Surges Again
Tags: Top tweets
- Which Data Science Skills are core and which are hot/emerging ones?
- Aug 5, 2020.
Take part in the latest KDnuggets poll, and share your insights with the community. Which Data Science skills do you currently possess, and which are you looking forward to add or improve upon? Vote now!
Tags: Career, Data Science, Data Science Skills, Poll, Skills
- Word Embedding Fairness Evaluation
- Aug 5, 2020.
With word embeddings being such a crucial component of NLP, the reported social biases resulting from the training corpora could limit their application. The framework introduced here intends to measure the fairness in word embeddings to better understand these potential biases.
Tags: Bias, Ethics, Machine Learning, Word Embeddings
- Netflix’s Polynote is a New Open Source Framework to Build Better Data Science Notebooks
- Aug 5, 2020.
The new notebook environment provides substantial improvements to streamline experimentation in machine learning workflows.
Tags: Jupyter, Netflix, Open Source, Scala
- Implementing MLOps on an Edge Device
- Aug 4, 2020.
This article introduces developers to MLOps and strategies for implementing MLOps on edge devices.
Tags: Edge Analytics, Machine Learning, MLOps, Speech Recognition, Workflow
- Setting Up Your Data Science & Machine Learning Capability in Python
- Aug 4, 2020.
With the rich and dynamic ecosystem of Python continuing to be a leading programming language for data science and machine learning, establishing and maintaining a cost-effective development environment is crucial to your business impact. So, do you rent or buy? This overview considers the hidden and obvious factors involved in selecting and implementing your Python platform.
Tags: Cloud Computing, Data Science, Machine Learning, Python
- 5 Apache Spark Best Practices For Data Science
- Aug 4, 2020.
Check out these best practices for Spark that the author wishes they knew before starting their project.
Tags: Apache Spark, Best Practices, Data Science
- Announcing PyCaret 2.0
- Aug 3, 2020.
PyCaret 2.0 has been released! Find out about all of the updates and see examples of how to use them right here.
Tags: Machine Learning, PyCaret, Python
- The Machine Learning Field Guide
- Aug 3, 2020.
This straightforward guide offers a structured overview of all machine learning prerequisites needed to start working on your project, including the complete data pipeline from importing and cleaning data to modelling and production.
Tags: Data Preparation, Machine Learning, Pandas, Predictive Modeling, Python
- Top Stories, Jul 27 – Aug 2: Computational Linear Algebra for Coders; Awesome Machine Learning and AI Courses
- Aug 3, 2020.
Also: Essential Resources to Learn Bayesian Statistics; Deep Learning for Signal Processing: What You Need to Know; A Tour of End-to-End Machine Learning Platforms; I have a joke about …; First Steps of a Data Science Project
Tags: Top stories
- Know What Employers are Expecting for a Data Scientist Role in 2020
- Aug 3, 2020.
The analysis is done from 1000+ recent Data scientist jobs, extracted from job portals using web scraping.
Tags: Career Advice, Data Science, Data Scientist
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I have a joke about …
- Aug 1, 2020.
I have a machine learning joke, but it is not performing as well on a new audience. We bring you a selection of the nerdy self-referential computer jokes that were popular on the web recently.
Tags: Cartoon, Deep Learning, Humor
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