Opinions, Interviews, Reports
We welcome guest blogs and opinions - see submission guidelines.
Latest:
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Every time someone runs a correlation coefficient on two time series, an angel loses their wings - Jun 18, 2018.
We all know correlation doesn’t equal causality at this point, but when working with time series data, correlation can lead you to come to the wrong conclusion. -
How should I organize a larger data science team? - Jun 15, 2018.
VP of Data Science is asking opinions on how should he organize a larger Data Science team. -
How to spot a beginner Data Scientist - Jun 15, 2018.
When beginning life as a data scientist, there are some clear signs that give it away... -
Statistics, Causality, and What Claims are Difficult to Swallow: Judea Pearl debates Kevin Gray - Jun 15, 2018.
While KDnuggets takes no side, we present the informative and respectful back and forth as we believe it has value for our readers. We hope that you agree. -
Data Lake – the evolution of data processing - Jun 14, 2018.
This post examines the evolution of data processing in data lakes, with a particular focus on the concepts, architecture and technology criteria behind them. -
Advice For Applying To Data Science Jobs - Jun 13, 2018.
A comprehensive guide to applying for a job in data science, covering the application, interview and offer stage. -
Which Data Profession Has The Highest Job Satisfaction? - Jun 12, 2018.
KDnuggets poll compares Machine Learning Engineer, Researcher, Data Scientist and other professions and identifies one with the highest job satisfaction. Job satisfaction usually starts high, but drops significantly after 4 years on the job. -
Why you need to improve your training data, and how to do it - Jun 11, 2018.
This article examines the way you need to improve your training data and how it can be accomplished, including speech commands, choosing the right data, picking a model fast and more. -
How (dis)similar are my train and test data? - Jun 7, 2018.
This articles examines a scenario where your machine learning model can fail. -
Netflix Data Science Interview Questions: Acing the AI Interview - Jun 7, 2018.
Gain some perspective on the Netflix interview process, and on ways to prepare for just such an industry interview. -
The 6 components of Open-Source Data Science/ Machine Learning Ecosystem; Did Python declare victory over R? - Jun 6, 2018.
We find 6 tools form the modern open source Data Science / Machine Learning ecosystem; examine whether Python declared victory over R; and review which tools are most associated with Deep Learning and Big Data. -
Football World Cup 2018 Predictions: Germany vs Brazil in the final, and more - Jun 5, 2018.
Looking ahead to the FIFA World Cup that kicks off this month (14th June), we have created the official KDnuggets predictions. -
ioModel Machine Learning Research Platform – Open Source - Jun 5, 2018.
This article introduces ioModel, an open source research platform that ingests data and automatically generates descriptive statistics on that data. -
Resources For Women In Data Science and Machine Learning - Jun 4, 2018.
A comprehensive list of resources for Women in Data Science and Machine Learning, including a list of useful tech groups and published lists for finding Women speakers. -
The Future of Artificial Intelligence: Is Your Job Under Threat? - Jun 1, 2018.
This article examines the rapid growth of artificial intelligence: how we got to this point, the future AI job market and what can be done. -
The Book of Why - Jun 1, 2018.
Judea Pearl has made noteworthy contributions to artificial intelligence, Bayesian networks, and causal analysis. These achievements notwithstanding, Pearl holds some views many statisticians may find odd or exaggerated.
May:
- Overview of Dash Python Framework from Plotly for building dashboards
- Cartoon: GDPR first effect on Privacy
- Descriptive analytics, machine learning, and deep learning viewed via the lens of CRISP-DM
- NLP in Online Courses: an Overview
- Event Processing: Three Important Open Problems
- Machine Learning Breaking Bad – addressing Bias and Fairness in ML models
- How Not to Regulate the Data Economy
- Data Science: 4 Reasons Why Most Are Failing to Deliver
- Frequentists Fight Back
- Scientific debt – what does it mean for Data Science?
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Python eats away at R: Top Software for Analytics, Data Science, Machine Learning in 2018: Trends and Analysis
Python continues to eat away at R, RapidMiner gains, SQL is steady, Tensorflow advances pulling along Keras, Hadoop drops, Data Science platforms consolidate, and more. - If chatbots are to succeed, they need this
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ETL vs ELT: Considering the Advancement of Data Warehouses
The traditional concept of ETL is changing towards ELT – when you’re running transformations right in the data warehouse. Let’s see why it’s happening, what it means to have ETL vs ELT, and what we can expect in the future. - 6 Proven Steps to Land a Job in Data Science
- Kernel Machine Learning (KernelML) - Generalized Machine Learning Algorithm
- 9 Must-have skills you need to become a Data Scientist, updated
- How to build analytic products in an age of data privacy
- How to Organize Data Labeling for Machine Learning: Approaches and Tools
- Beyond Data Lakes and Data Warehousing
- Data Engineer vs Data Scientist: the evolution of aggressive species
- Data Augmentation: How to use Deep Learning when you have Limited Data
- Torus for Docker-First Data Science
- 7 Useful Suggestions from Andrew Ng “Machine Learning Yearning”
- To SQL or not To SQL: that is the question!
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Apache Spark : Python vs. Scala
When it comes to using the Apache Spark framework, the data science community is divided in two camps; one which prefers Scala whereas the other preferring Python. This article compares the two, listing their pros and cons.
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8 Useful Advices for Aspiring Data Scientists
I recently read Sebastian Gutierrez’s “Data Scientists at Work”, in which he interviewed 16 data scientists. I want to share the best answers that these data scientists gave for the question: "What advice would you give to someone starting out in data science?" - Deep Conversations: Lisha Li, Principal at Amplify Partners
- AI is not set and forget
- PrivacyGuide: Towards an implementation of the EU GDPR on Internet privacy policy evaluation
- To Kaggle Or Not