Category: Maths and Stats
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Machine Learning Hands On 2nd edition now available. #machinelearning #ai #java #kafka #clojure #weka #dl4j #spark #r
Towards the end of February the author copies of the second edition of my book, Machine Learning: Hands-on for developers and technical professionals landed on my desk. I’m very happy with the way it’s turned out. I’ve spend the last few months resting, asides from the day job at Digitalis.io – the plan was to…
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Machine Learning book update…. #ai #machinelearning #java #clojure #kafka #dl4j #weka #spark
The first draft of the second edition is complete and a lot of the editing work is done. There are a couple of big changes…. SpringXD has now been replaced with Kafka and how to perform self training machine learning models (with Neural Networks, Linear Regression and Decision Trees). The chapter on Spark got a…
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Is Googlewhacking Still Possible? cc @DaveGorman :) #data #bigdata #davegorman #googlewhack
You Need to See This!…. A kind of ritual viewing has happened with myself and the teen recently. Especially as there’s a large interest in statistics and comedy between the pair of us. They’ll suggest one thing, we’ll watch it and then I’ve gone through Monty Python, Billy Connolly, Jasper Carrott, Bill Bailey and so…
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Does Craig’s 10 predict the winner? #data #voting #strictly #strictlycomedancing #clojure
It started with a conversation on Clojurians Slack….. Now, we’ve got some experience with the Strictly scores, we know that linear regression completely trumps neural networks on predicting Darcy’s score from Craig’s score. This however is different and yet still interesting. And as we know we have data available to us up to season 14.…
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Collecting Royalties Without the Middleman, a Concept for @DGMLive and David Singleton
This post is really in response to a Facebook post by David Singleton, the joy of Facebook algorithms means that I didn’t see the actual post until this morning. It’s worth a read especially if you an artist and you want to get paid fairly, there’s a link at the bottom of the page. What…
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Talking #Kafka and #DeepLearning at #BigDataBelfast
A very quick heads up, I’ll be talking at Big Data Belfast on Thursday 18th October. The talk is an walkthrough of a complete system that creates automated learning system using Kafka and DeepLearning4J. You don’t need any programming knowledge, I’ll be explaining everything in English. The idea is to show what a full system…
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Strata London Talk Slides and Code. #stratadata #kafka #dl4j
Proof if proof were needed…. so Strata London was an absolute pleasure to talk at. Those who know me know I’m a big fan of the conference, so to talk at it was an additional boost. Who knew that Strictly data could cross boundaries like that. The slides are available on the Strata website and…
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Simple Linear Regression in 2 minutes. #machinelearning #linearregression #java
With certain data Simple Linear Regression wins and while the rest of the ML/AI world push tools that are far larger scope than needed for most, sometimes our best tools are hidden in plain sight. Apache Commons Math, old, kinda forgotten but kinda cool, well Simple Linear Regression is hiding in there and is easy…
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Basic calculation for hidden nodes in a Neural Network #hackthehub18 #ai #machinelearning
I have this written down in a number of notebooks but I’m leaving it here for two reasons: It just took me twenty minutes to find the right notebook. It’s Hack The Hub in Belfast and it’s all about Machine Learning and AI. How Many Nodes In A Hidden Layer? I want to get a…
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Like BigData tools you won’t need AI 99% of the time . #bigdata #data #machinelearning #ai #hadoop #spark #kafka
The Prologue. Recently I’ve been very curious, I know that alone makes people in tech really nervous. I was curious to find out the first mentions of BigData and Hadoop in this blog, April 2012 and the previous year I’d been doing a lot of reading on cloud technologies and moreover data, my thirty year…
It's All A Bet - MLOps, DevOps, AI and Synthetic Data Design 