Category: BigData
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Time For A Change? #algorithms #ml #ai #business #data
My first WordPress blog post was back in October 2008, my first blog post goes back way before then in 2000. Twenty-one years of knowledge, insight and, let’s be honest, nonsense. While most folk know me for the big data thing, whether that’s Hadoop, Spark, Kafka or Pulsar. What I want to do now is…
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Kafka Is A Team Sport Redux – #kafka #apachekafka #streamingdata #data #confluentkafka
The feedback from Saturday’s blog post Kafka Is A Team Sport was very positive. I still felt I hadn’t quite got my point across though, well not clearly enough. Then it hit me. The Three Functions I see the current ecosystem as three distinct parts. Development, DevOps Engineering and Data Engineering. They all have different…
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Kafka Is A Team Sport – #kafka #apachekafka #streamingdata #data #confluentkafka
One of the nice things about being an early adopter is watching things grow. Another is observing how that adoption happens from organisation to organisation. The questions I get tend to be varied and in the oddest of locations, doing an impromptu Q&A at London City Airport is still a highlight of data related daftness.…
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Tesco Clubcard: #customerloyalty is dead! It’s all about membership! #clubcard #tesco #loyalty #data #datamining #algorithms
(First things first, four months since my last post…. apologies, just a lot of things going on.) The “rona” has done a lot of things to retail, it’s also done an awful lot of things to the economy. The UK furlough scheme reduced incomes and made customers very very very price sensitive. And today is…
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Customer Loyalty – Starting a stampercard: Part 1. #customerloyalty #stampcard #coffee #tea #loyalty #retail #cafe #restaurants
Sometimes the simplest solutions work the best and the stamp card is the easiest way to establish a form of repeat business. The idea is simple, have a card with spaces for nine or ten transactions, where stamps or a pen signature can be applied. Once the card is complete the customer then receives a…
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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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DeskHoppa Engineering — Twitter, Kafka and being Data Driven.
This post was originally published on the DeskHoppa Engineering Blog on Medium. We built DeskHoppa on data driven decisions. The technology though is used to augment our decision making, not wholly make it for us. How we choose the hosts we contact is based on data, algorithms and probability. The search and match processes to…
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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.…