# Key Terms (17)

**KDnuggets™ News 20:n09, Mar 4: When Will AutoML replace Data Scientists (if ever) – vote; 20 AI, DS, ML Terms You Need to Know (part 2)**- Mar 4, 2020.

Vote in new KDnuggets Poll: When Will AutoML Replace Data Scientists (if ever)?; 20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 2); Python and R Courses for Data Science; Probability Distributions in Data Science; and more.**20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 2)**- Mar 2, 2020.

We explain important AI, ML, Data Science terms you should know in 2020, including Double Descent, Ethics in AI, Explainability (Explainable AI), Full Stack Data Science, Geospatial, GPT-2, NLG (Natural Language Generation), PyTorch, Reinforcement Learning, and Transformer Architecture.**KDnuggets™ News 20:n07, Feb 19: 20 AI, Data Science, Machine Learning Terms for 2020; Why Did I Reject a Data Scientist Job?**- Feb 19, 2020.

This week on KDnuggets: 20 AI, Data Science, Machine Learning Terms You Need to Know in 2020; Why Did I Reject a Data Scientist Job?; Fourier Transformation for a Data Scientist; Math for Programmers; Deep Neural Networks; Practical Hyperparameter Optimization; and much more!**20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 1)**- Feb 18, 2020.

2020 is well underway, and we bring you 20 AI, data science, and machine learning terms we should all be familiar with as the year marches onward.**Genetic Algorithm Key Terms, Explained**- Apr 10, 2018.

This article presents simple definitions for 12 genetic algorithm key terms, in order to help better introduce the concepts to newcomers.**Blockchain Key Terms, Explained**- Nov 3, 2017.

Need a quick glance over some important definitions associated with the Blockchain? Then consider this article your Blockchain Definitions 101!**277 Data Science Key Terms, Explained**- Sep 1, 2017.

This is a collection of 277 data science key terms, explained with a no-nonsense, concise approach. Read on to find terminology related to Big Data, machine learning, natural language processing, descriptive statistics, and much more.**Clustering Key Terms, Explained**- Oct 18, 2016.

Getting started with Data Science or need a refresher? Clustering is among the most used tools of Data Scientists. Check out these 10 Clustering-related terms and their concise definitions.**Deep Learning Key Terms, Explained**- Oct 12, 2016.

Gain a beginner's perspective on artificial neural networks and deep learning with this set of 14 straight-to-the-point related key concept definitions, including Biological Neuron, Multilayer Perceptron (MLP), Feedforward Neural Network, and Recurrent Neural Network.

**Misinformation Key Terms, Explained**- Aug 20, 2016.

Misinformation has emerged as a key issue for social media platforms. This post will introduce the concept of misinformation and the 8 Key Terms, which provides insights into mining misinformation in social media.**Big Data Key Terms, Explained**- Aug 11, 2016.

Just getting started with Big Data, or looking to iron out the wrinkles in your current understanding? Check out these 20 Big Data-related terms and their concise definitions.**Database Key Terms, Explained**- Jul 28, 2016.

Interested in a survey of important database concepts and terminology? This post defines 16 essential database key terms concisely and accurately.**Internet of Things Key Terms, Explained**- Jul 27, 2016.

This post will define 12 Key Terms for the Internet of Things, in straightforward manner.**Predictive Analytics Introductory Key Terms, Explained**- Jul 18, 2016.

Here is a collection of introductory predictive analytics terms and concepts, presented for the newcomer in a straight-forward, no frills definition style.**Apache Spark Key Terms, Explained**- Jun 13, 2016.

An overview of 13 core Apache Spark concepts, presented with focus and clarity in mind. A great beginner's overview of essential Spark terminology.**Cloud Computing Key Terms, Explained**- Jun 9, 2016.

A concise overview of 20 core cloud computing ecosystem concepts. The focus here is on the terminology, not The Big Picture.**Hadoop Key Terms, Explained**- May 30, 2016.

An straightforward overview of 16 core Hadoop ecosystem concepts. No Big Picture discussion, just the facts.