Time Series for H2O with Modeltime

I share some notes from an online community meetup on doing Time Series in H2O-3 with the Modeltime R package. The new R Package is neat, I hope that someone builds something like that for Python!
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2020 AI Market in Review

A review of the AI market in 2020!
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Facebook & Political Ads Targeting

Facebook sent a cease and desist letter to NYU researchers looking into their targed political ads.
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Python Tutorials

A comprehensive list of my Python Tutorials for SEO, plain work, and other fun stuff.
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H2O Tutorials

A comprehensive list of H2O Tutorials and Interesting Videos
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RapidMiner Tutorials

A comprehensive list of my RapidMiner Video Tutorials.
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TensorFlow & Julia on a Jetson Nano

How to install Tensorflow and Julia on a Jetson Nano. My tips to prevent baldness (aka ripping your hair out!)
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Software is eating the World

First it was chips, now it’s software.
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AI is Evolving

New Open Source Libraries hint at AI programming blocks evolving as it learns.
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Groovy over Python?

For some simple things, Groovy and Python are very easy.
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Groovy for Data Science

Can you use Groovy for Data Science. The answer is Yes, but…
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Updated Forex Charts with Bokeh

Generating Forex Charts with the Open Source Bokeh charting library.
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How to Recognize AI Snakeoil

There’s a lot of AI Snakeoil out there, get it from reputable sources!
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Go Master Quits, AI too powerful

Google’s AlphaGo makes a Go Master Quit. It’s too powerful.
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AI Trading & Lehman Brothers?

As far as the trend in AI goes, it’s really getting started now. AI is being adopted by the next tier of companies.
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Investing in the S&P500 beats AI Trading

The market is an average and there are funds or AI traders that beat the average, but others will underperform the average
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Downloading SEC.GOV data

I’ve finally found a way to download SEC.GOV data in a consistent and less stressful way.
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Auto Support Resistance Lines in Forex

On the heels of my last post, I’ve extended those functions to the EURUSD pair. The data starts from this year 2019 and goes through to yesterday. It’s actually a pretty neat script as it takes data from Onada and then generates the support and resistance lines for that particular pair. The next step would be to create a buy/sell order in the Oanda Practice Account. Once I do that it’s then a matter of writing a trading strategy and testing it in real time.
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Isolation Forests in H2O.ai

H2O.ai releases Isolation Forests for open source, an anomaly detection method.
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MLI with RSparkling

How to do Machine Learning Interpretability with RSparkling
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Interpreting Machine Learning Models

A short introduction on Machine Learning Interpretability (MLI). Learn the basics of MLI.
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Microsoft the AI Powerhouse

My mone is on Microsoft winning the Cloud Wars.
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Machine Learning Making Pesto Tastier

Learn how Machine Learning is making your food more delicious. Pesto dal vivo!
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TensorFlow and High Level APIs

A reat presentation on the upcoming release of TensorFlow v2 by Martin Wicke.
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Making AI Happen Without Getting Fired

I share my notes from this must watch if you’re thinking of putting AI models into production.
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Functional Programming in Python

What’s the different between Functional Programming and OOP for Python? I share my notes from this great talk.
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Feature Engineering in Driverless AI

Learn about the complex feature engineering that Driverless AI does. How to squeeze more performance out of your machine learning models.
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What’s new in Driverless AI?

New updates to Driverless AI keep pushing the innovation envelope. Learn about key differentiators.
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Flux Machine Learning for Julia

Julia announced Flux, a machine learning frame work for Julia.
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What is Reusable Holdout?

Overfitting and introducing bias during model training is always a big topic in data science. Typically you train a model using Cross Validation by creating a model on k-1 folds and test it on the remaining one fold. This one fold is the holdout set and will usually work very well if, and only if, the trained model is independent of the holdout set. Under normal situations, this works well, but you might begin to leak information into the model as the test fold changes.
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Open Source

I’ve been think a lot about open source lately. I’ve also been thinking of closed source and open core too.
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Machine Learning Interpretability in R

In this video the presenter goes over a new R package called ‘iML.’ This package has a lot of power when explaining global and local feature importance. These explanations are critical, especially in the health field and if your under GDPR regulations. Now, with the combination of Shapley, LIME, and partial dependence plots, you can figure out how the model works and why. I think we’ll see a lot of innovation in the ‘model interpretation’ space going forward.
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Matrix Factorization for Missing Values

I stumbled across an interested reddit post about using matrix factorization (MF) for imputing missing values. The original poster was trying to solve a complex time series that had missing values. The solution was to use matrix factorization to impute those missing values. Since I never heard of that application before, I got curious and searched the web for information. I came across this post using matrix factorization and Python to impute missing values.
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Why (most) Twitter Bots Suck

Why most Twitter Bots suck terribly at what they are supposed to do. The entire social media gamification stinks to high hevean.
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MLI Using LIME Framework

Understanding the LIME framework for Machine Learning Interpretability.
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Exploring H2O.ai

A few years ago RapidMiner incorporated a fantastic open source library from H2O.ai. That gave the platform Deep Learning, GLM, and a GBT algos, something they were lacking for a long time. If you were to look at my usage statistics, I’d bet you’d see that the Deep Learning and GLM algos are my favorites. Just late last year H20.ai released their driverless.ai platform, an automated modeling platform that can scale easily to GPUs.
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Beta Testing an Instagram Hashtag Tool

Continuing the stream of consciousness from my Working with Instgram API, JSONPath, and RapidMiner post, I started beta testing a new and improved Instagram Hashtag Tool. I’ve even opened it up to a few beta testers (ping me if you want to try it). It uses a RapidMiner Server on the backend to watch a Dropbox folder. Once you put a text file into the ‘In’ folder, it triggers a process and spits back a spreadsheet in the ‘Out’ folder.
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Guide to Getting Started in Data Science

My experiences in learning Data Science and working at a Startup. I share my lessons learned and tips on how you can get started in the field of Data Science.
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My Chinese Big Brother - Part 2

Coming on the heels of “I told you so,” China is using facial recognition to make sure you’re a good Chinese citizen. Authorities in Shenzhen, China, have set up artificial intelligence-powered CCTV cameras to scan the faces of those who jaywalk at major intersections and display their identities on large LED screens for all to see. If that isn’t punishment enough, plans are now in place to link the current system with cellular technology, so offenders will also be sent a text message with a fine as soon as they are caught crossing the road against traffic lights.
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Data Science & Machine Learning

Learn about data science and machine learning from a Google presentation
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Build a Machine Learning Framework

Learn how one group of Hackers developed a machine learning framework from scratch!s
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How StockTwits Uses Machine Learning

Learn how StockTwits uses Data Science and Machine Learning to build new products. Read my notes from Garrett Hoffman’s interview.
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Fraud Analytics in RapidMiner

how to use RapidMiner for Fraud Analytics
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AlphaGO Zero learns on its own

The news dropped that Google’s new implementation of AlphaGo, called AlphaGO Zero, was able to learn completely on its own. No training set was first used, rather it built it’s own training set as it played against the older AlphaGO. Earlier versions of AlphaGo were taught to play the game using two methods. In the first, called supervised learning, researchers fed the program 100,000 top amateur Go games and taught it to imitate what it saw.
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Introduction to Deep Learning

A great introduction to Deep Learning, Keras, and installing it on RapidMiner. A video and my notes.
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Orange 3 is impressive

Is Orange3 an alternative to RapidMiner? For one, it’s tightly woven with Scikit-Learn and open source. This might a great intro to a code + code free interface!
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Weaponizing AI

AI is being weaponized at a scale never before seen. Fake deep learning videos are going to be able to skew electons
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Product Qualified Lead Model

What is a PQL model and how does it work? A novel approach to freemium types of product launches.
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What Works What Doesn’t Work

An important lesson I’ve learned while working at a Startup is to do more of what works and jettison what doesn’t work, quickly
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Is it Possible to Automate Data Science?

Evaluating whether Data Science can be fully automated. The answer? Somethings can be but not everything.
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Millennials can’t catch a break!

Millennials have been given a raw deal from the Boomers. Gen X’ers know all about that.
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Process Mining

How to use process mining with RapidMiner to make your processes go smoother and faster.
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Big Data and Infrastructure

I have a daily downtime routine. Every evening I set aside about a hour and think. I sit or walk around the house and ruminate about all sorts of random things. Sometimes it’s with a glass of wine and more often it’s with a cup of black tea and milk. Sometimes my mind wanders to what I did that day or what I didn’t finish. Other times I get inspired to write a new blog post or create a new tutorial.
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Machine Learning on a Raspberry Pi

The Pi has been a great thin client and a small, but capable server. I’ve used it for my Personal Weather Station project and as an FTP server.
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My Chinese Big Brother

Assigning China’s Harmony Score is the first step to complete control of 1 Billion People.
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Latest Writings Elsewhere

Where my Machine Learning articles have been published. A running list when I remember to update it.
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Prescriptive Analytics and My Heart

The world right now is awash in Predictive Analytics, the mystery of Big Data, and the rise of the glorious and magical Data Scientist. Most of the time we hear these buzz words in relation to some marketing campaign, election, or credit score application process, but what about applying these tools and people to a project that can benefit the welfare of humanity? Well, one group of data scientists and a healthcare provider in Washington State are doing just that.
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Big Data’s Dirty Little Secret

My thoughts on Big Data and how throwing everything into it is a bad idea.
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Churn Models, Cable TV, and My Wife

Makes business sense, right? Keep the best customers happy, group the customers that are about to leave into the ones you can save or not.
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Betting on RapidMiner in a Big Way

Nothing but blue skies I see, and the grass on the side looks pretty green!
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The Power of Tinkering

I finally got my Personal Weather Station (PWS) to upload current weather data to Wunderground1 last night. You have no idea how happy this made me, considering I started this project over a year ago but then got interrupted with “life.” I dedicated my first Raspberry Pi to Bitcoin mining, so I needed a second one (Pi’s are addicting, and cheap) to finally get my PWS up and running on the Internet.
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Raspberry Pi Tutorials

A rolling list of Raspberry Pi Tutorials I’ve found and made.
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What is the WhiBo plugin for Rapidminer?

Today’s guest post about an awesome new plugin for Rapidminer, is from Milan Vukicevic. Although I walked in at the very end of his presentation at RCOMM 2010, I sat down with Milan on my last day and he gave me a personal demo of WhiBo. The applications I see from this plugin, as it relates to the financial world, is its ability to build algorithms on new data, find patterns, and tweak parameters that were never possible before.
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Using the SVM RBF Kernel

Using Support Vector Machines (SWM) to predict residential electrical usage.
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OECD Factbook eXplorer

the OECD Factbook Explorer is a really great free tool to do research on countries outside the USA.
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Humans No Match for Go Bot Overlords?

AlphaGo and Lee Sedol showed us what it means to be human in the Game of Go.
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SVM Kernel Application

LibSVM and other SVM kernels and their applications to use cases
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Guide to AI Transformation

A review of the 9 steps for success in AI model building.
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Automated Trading

In my old blog, Digital Breakfast, I posted a few times about my desire to build an Automated Trading System (ATS) using Excel
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Wall Street Using AI To Trade

I heard this first on Bloomberg Radio and then found the article. It’s about the ever increasing use of data mining and AI in the financial markets. In his cubicle overlooking the trading floor, Kearns, 44, consults with Lehman Brothers traders as Ph.D.s tap away at secret software. The programs they’re writing are designed to sift through billions of trades and spot subtle patterns in world markets. Kearns, a computer scientist who has a doctorate from Harvard University, says the code is part of a dream he’s been chasing for more than two decades: to imbue computers with artificial intelligence, or AI.
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About

About Neural Market Trends, Thomas Ott the Founder, and Media Inquiries.
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