**The Two (Conflicting) Definitions of AI**

**Secure and fast microVMs for serverless computing**

**Horizon: The first open source reinforcement learning platform for large-scale products and services**

**Automated Machine Learning with Auto-Keras**

**Deep Learning cheatsheets for Stanford’s CS 230**

• Cheatsheets detailing everything about convolutional neural networks, recurrent neural networks, as well as the tips and tricks to have in mind when training a deep learning model.

• All elements of the above combined in an ultimate compilation of concepts, to have with you at all times!

**Mode is the source of truth for your data.**

**What Python editors or IDEs you used the most in 2018?**

**How to build a Movie Recommender System in Python using LightFm**

**Disentanglement with Variational Autoencoder: A Review**

**Temporal Difference in Reinforcement Learning, the Easy Way**

**Speeding up your Algorithms Part 4 – Dask**

1. Speed Up your Algorithms Part 1 – PyTorch

2. Speed Up your Algorithms Part 2 – Numba

3. Speed Up your Algorithms Part 3 – Parallelization

4. Speed Up your Algorithms Part 4 – Dask

**Speed Up Your Algorithms Part 3 – Parallelization**

1. Speed Up your Algorithms Part 1 – PyTorch

2. Speed Up your Algorithms Part 2 – Numba

3. Speed Up your Algorithms Part 3 – Parallelization

4. Speed Up your Algorithms Part 4 – Dask

**Making Your Neural Network Say ‘I Don´t Know’ – Bayesian NNs using Pyro and PyTorch**

**Database-Inspired Optimizations for Statistical Analysis**

**21 Statistical Concepts Explained in Simple English – Part 4**

• Contingency Coefficient: Definition

• Continuous Probability Distribution

• Continuous Variable Definition (Continuous Data)

• Contour Plots: Definition, Examples

• Control Group: Definition, Examples and Types

• Control Variable: Simple Definition

• Convenience Sampling (Accidental Sampling): Definition, Examples

• Convergent Validity and Discriminant Validity: Definition, Examples

• Cook’s Distance / Cook’s D: Definition, Interpretation

• Correlation Matrix: Definition

• Counterbalancing in Research

• Covariance in Statistics: What is it? Example

• Covariate Definition in Statistics

• Cramer-Rao Lower Bound

• Criterion Validity: Definition, Types of Validity

• Criterion Variable: Definition, Use and Examples

• Critical Z Value TI 83: Easy Steps for the InvNorm Function

• Cronbach’s Alpha: Simple Definition, Use and Interpretation

• C-Statistic: Definition, Examples, Weighting and Significance

• Cumulative Distribution Function CDF

**Estimating Probabilities with Bayesian Modeling in Python**