The developerWorks Connections platform will be sunset on January 2, 2020. This blog will no longer be available unless an extension has been requested. More details available on our FAQ.Blogs
Blogs
Matching:
machinelearning
X
X
| Display: |
Contributions to the IBM Watson Studio Community
John M. Boyer
Tags:
tensorflow
cognitivecomputing
dsx
machinelearning
ibm
ai
ibmwatson
datascience
watson
6,543 Views
The Data Science Experience / IBM Watson Studio Community now includes versions of the Python notebooks from this blog, including: 1) TensorFlow neural net for classification prediction problems, epoch based training, save/restore model, inference and testing,...
|
|
Some good ways to get started with machine learning and neural networks using Python
Here's some good links if you want to get started learning more about neural networks using Python: How to build a simple neural network in 9 lines of Python code How to build a&nbs...
from Blog: Bernie Michalik
|
|
Data Analysis for Improving Machine Learning Models
John M. Boyer
Tags:
watson
cognitivecomputing
machinelearning
watsonstudio
dsx
ibm
datascience
ibmwatson
ai
7,570 Views
In a prior article , we got a pretty good R squared quality metric for predicting house values with a linear regression model that we trained in an earlier article . However, there still may be a lot of room for training a higher quality predictive...
Modified on by John M. Boyer
|
|
Incremental Training of a TensorFlow Neural Network
John M. Boyer
Tags:
machinelearning
watsonstudio
ai
datascience
watson
ibmwatson
dsx
cognitivecomputing
ibm
11,320 Views
Training a neural network typically involves using many epochs, each of which exposes the neural network to the full training data set, before the accuracy is no longer appreciably affected. For a lengthy overall training, it’s useful to save the...
Modified on by John M. Boyer
|
|
Measuring the Quality of a TensorFlow Regression Model
John M. Boyer
Tags:
ibmwatson
datascience
machinelearning
ai
ibm
watsonstudio
watson
dsx
cognitivecomputing
8,991 Views
In this article, we’ll cover how to measure the quality of the TensorFlow regression model covered in a prior post . As usual, the code for the quality measurements can be obtained from my TensorFlow Samples repository , and you can use this code in IBM...
Modified on by John M. Boyer
|
|
On the Convolutional Neural Network in Watson Natural Language Classifier: Measuring Training Quality with IBM Data Science Experience
John M. Boyer
Tags:
machinelearning
watson
cognitivecomputing
datascience
ibmwatson
ibm
dsx
nlc
ai
naturallanguageclassifier
nlp
9,198 Views
The first thing you should ask yourself when you see a trainable AI API like Watson Natural Language Classifier (NLC) is "Can I measure the quality of the training I do?" Fortunately, you can use IBM Data Science Experience (DSX) to do just this--...
Modified on by John M. Boyer
|
|
Measuring the Quality of a TensorFlow Neural Network: An IBM Data Science Experience
John M. Boyer
Tags:
dsx
ibmwatson
roc_curve
ai
datascience
auc
ibm
machinelearning
watson
tensorflow
cognitivecomputing
13,863 Views
In this article, we’ll cover how to measure the quality of the TensorFlow neural net model covered in this prior article . The code for this article can be obtained from the Jupyter notebook in my TensorFlow Samples repository ....
Modified on by John M. Boyer
|
|
An IBM Data Science Experience: Comparing Neural Nets from TensorFlow and SPSS Modeler
John M. Boyer
Tags:
tensorflow
machinelearning
datascience
watson
ibmwatson
ai
cognitivecomputing
ibm
dsx
spss
9,719 Views
The intent in my last blog was to use a straightforward example neural net use case so we could focus on the nuts and bolts of TensorFlow, Python, a Jupyter notebook, and IBM Data Science Experience. However, for use cases involving neural nets and other...
Modified on by John M. Boyer
|
|
Arsanjani's Top Ten Trends in AI and ML
Ali_Arsanjani
Tags:
machinelearning
ai
ml
ai_ethics
machine_learning
artificialintelligence
9,495 Views
Below the buzz, underlying the hype will be some of the concrete real world let's really use #RealAI to solve real world problems, versus the #ToyAI phenomenon. 1. #AugmentedIntelligence will appear to be more prominent than "artificial...
Modified on by Ali_Arsanjani
|
|
A Unique TensorFlow Neural Net Tutorial using a Jupyter Python Notebook in IBM Data Science Experience
John M. Boyer
Tags:
machinelearning
ai
watson
cognitivecomputing
datascience
ibm
tensorflow
dsx
ibmwatson
13,655 Views
UPDATE: Click for sample code notebook and data . This TensorFlow Neural Network tutorial has several aspects that are unique or not evident in other tutorials like the MNIST handwritten digits tutorial. The focus is on business,...
Modified on by John M. Boyer
|
|
What I find interesting in tech, November 2017
Here's an assortment of 42 links covering everything from Kubernetes to GCP and other cloud platforms to IoT to Machine Learning and AI to all sorts of other things. Enjoy! Prometheus Kubernetes | Up and Running with CoreOS , Prometheus and...
from Blog: Bernie Michalik
|
|
An IBM Data Science Experience with TensorFlow
John M. Boyer
Tags:
watson
cognitivecomputing
dsx
ibm
tensorflow
datascience
machinelearning
ibmwatson
13,414 Views
UPDATE: Click here to get sample code and data file In this blog, I'm going to describe the steps you can take to have an IBM Data Science Experience with TensorFlow. You can use these steps to create a Jupyter...
Modified on by John M. Boyer
|
|
Processing Time-Sequenced Data using Machine Learning
Traditional artificial neural networks (ANN) have a memory problem : they cannot recall their previous reasoning about events to inform new ones. If you have time-sequenced data, i.e., longitudinal data, you might want to consider using a Recurrent Neural...
|
|
Training ML when you have Sparse Structured Longitudinal Data
Context & Solution . In case you were wondering what ML algorithms should be used when you have particularly sparse structured data, that is, longitudinal transactional data, you might want to consider Gradient Boosting . Tradeoffs . You may need to...
|
|
Shining Light on Dark Data
Ali_Arsanjani
Tags:
datascience
combine_structured_unstru...
bigdata
mlinfused
machinelearning
10,769 Views
Context and problem . You have terabytes of structured data , petaBytes of unstructured data, that are not quite visible, and many areas are dark, they provide less valuable information. You have lots of dark data, but not a whole lot of insight . How can you...
|
|
The O'Reilly AI conference: put AI to work
Last week I attended the O'Reilly conference : https://conferences.oreilly.com/artificial-intelligence/ai-ny If you have read my tweets, than there should be little news here: Tweets about #OReillyAI from:mpjjonker Put AI to work Given...
from Blog: IBM and Google combined
Modified on by MJonker
|
|
Machine Learning pre-processing with TensorFlow Transform
Mario Briggs
Tags:
datascience
deeplearning
machinelearning
tensorflow
pre-processing
1 Comment
11,042 Views
With data pre-processing in Deep Learning getting attention, i ventured to give the Tensorflow Transform (tf.Transform) library a try. Why you might ask? Well the examples (at least to me) didn't show how...
from Blog: Data Application Development
Modified on by Mario Briggs
|
|
Training Watson and TensorFlow with your own images
After using the pretrained model , I decided to train Watson and TensorFlow with my own data. The first question is : Where you get enough photo's on a similar topic that are specific enough ? The one thing I have many photo's...
from Blog: IBM and Google combined
Modified on by MJonker
|
|
Comparing IBM Watson and Google Cloud Vision Recognition
vs I have found some time to compare IBM Watson's image recognition with Google's. Google's Cloud Vision documentation can be found here: https://cloud.google.com/vision/ IBM Watson's Visual Recognition documentation can be...
from Blog: IBM and Google combined
Modified on by MJonker
|
|
Use Big R to access, manipulate, visualize, and analyze hadoop data on Bluemix Community Blog
Vikas Manoria
Tags:
bigr
bluemix
rstats
a4ah
statistical
hadoop
biginsights
machinelearning
modeling
18,164 Views
Pre-requisites (i) To create Hadoop setup in Bluemix please follow instructions given in this ‘Get Started’ blog - http://ibm.biz/GetStartedBlog (ii) Before start running R scripts on Hadoop you may want to upload some data in HDFS. This blog will...
from Blog: Bluemix Group
Modified on by VIKAS_MANORIA
|
