Blog — Advancing Analytics

Blog — Advancing Analytics

Data Science | AI | DataOps | Engineering

Thanks for reading. Here you will find a huge range of information in text, audio and video on topics such as Data Science, Data Engineering, Machine Learning Engineering, DataOps and much more. The show notes for “Data Science in Production” are also collated here.

Posts tagged Data Science

Facebook Prophet and the Stock Market (Part 1)

Facebook Prophet and the Stock Market (Part 1)

This article (part of a short series) aims to introduce the Prophet library, discuss it at a high level and run through a basic example of forecasting the FTSE 100 index. Future articles will discuss exactly how Prophet achieves its results, how to interpret the output and how to improve the model.

UncategorizedDan LantosJuly 5, 2021AI, Data Science Comments

10 Incredibly Useful Time Series Forecasting Algorithms

10 Incredibly Useful Time Series Forecasting Algorithms

This article aims to provide a general overview into time series forecasting, the top time series algorithms that have been widely used to solve problems, followed by how to go about choosing the right forecasting algorithm to solve a specific problem.

UncategorizedGavita RegunathJune 22, 2021Data Science, Forecasting, Machine Learning, Predictive Analytics, Time Series Forecasting Comments

Identifying Data Outliers in Apache Spark 3.0

Identifying Data Outliers in Apache Spark 3.0

In this blog, I want to take you through three different approaches that you can use to overcome the problem of outlier identification and in how you can resolve them in Spark 3.0.

AI, Advancing SparkTori TompkinsOctober 22, 2020Machine Learning, Data Science Comments

Will Koalas replace PySpark?

Will Koalas replace PySpark?

One of the first of many big announcements at the 2020 Spark and AI Summit was the official release of Koalas 1.0, the pandas API on top of Apache Spark.

This blog will explore how Koalas differs from PySpark.

Advancing Spark, Data ScienceTori TompkinsJuly 6, 2020Spark, Koalas, Data Science Comment

Setting up #WindowsTerminal for Data Science

Setting up #WindowsTerminal for Data Science

The Windows Terminal has dropped. In this short blog we look at how easy it is to add the Anaconda Prompt as a Terminal

Data Science, DataTerry McCannJune 23, 2019Data Science, Windows Terminal

Running Jupyter notebooks in a different folder

Running Jupyter notebooks in a different folder

This is a short blog for anyone who wants to know how to change the default location of Jupyter.

Data ScienceTerry McCannMay 7, 2019Python, Jupyter, Data ScienceComment

Docker for Data Science: Getting Started & Installing Docker

Docker for Data Science: Getting Started & Installing Docker

Docker is a great option for Production Machine Learning. This blog looks at installing Docker on Windows and Mac. We validate the install and check it is running correctly.

Data Science, DevOps, EngineeringTerry McCannMay 2, 2019Docker, Data Science, data engineeringComment

Data Science In Production. Episode 1: The Problems with Data Science.

Data Science In Production. Episode 1: The Problems with Data Science.

Welcome to the first episode of Data Science in Production. In this episode we look at some of the problems in data science and discuss the rise of the machine learning engineer.

PodcastTerry McCannDecember 12, 2018Data Science In Production, Data Science, Machine Learning, DSIPComment

Monte Carlo models In Python

Monte Carlo models In Python

Monte Carlo Models are awesome! Here is a simple introduction with an example in Python

Data ScienceTerry McCannDecember 11, 2018Python, Monte Carlo, Simulations, Data Science Comments

7 Signs that you need a Machine Learning Engineer

7 Signs that you need a Machine Learning Engineer

In this blog we discuss the reasons you may need a Machine Learning Engineer.

Data Science, DevOpsTerry McCannDecember 9, 2018Machine Learning, Engineering, Data Science, Docker, Kuberentes, CosmosDB, Rendezvous

How to apply DevOps to Machine learning

DevOps for Data Science part 6 - How to apply DevOps to Machine learning

DevOps, Data ScienceTerry McCannDecember 8, 2018DevOps, Data Science, Docker, Python, Kubernetes Comment

Book Review: Machine Learning Logistics: Model Management in the real world

DevOps for Data Science part 5 - Machine Learning Logistics: Model Management in the real world

Data Science, DevOpsTerry McCannDecember 7, 2018Data Science, DataOps Comment

Starting Advancing Analytics

Super excited to announce the start of Advancing Analytics. An Advanced Analytics Consultancy.

Data ScienceTerry McCannDecember 7, 2018Data Science

Data Science. The process, problems and productionisation.

DevOps for Data Science part 3

Data Science, DevOpsTerry McCannDecember 7, 2018DevOps, Data Science, DataOpsComment

DevOps in more detail

DevOps for Data Science part 2. DevOps in more detail

Data Science, DevOpsTerry McCannDecember 6, 2018DevOps, DataOps, Data Science, CI, CD, AzureComment

Starting "Data Science in Production"

Starting "Data Science in Production"

Introducing Data Science in Production - The podcast

Data ScienceTerry McCannDecember 4, 2018DSIP, Data Science, podcastComment