Personal Information
Organization / Workplace
Houston, Texas Area, TX United States
Occupation
PhD, Scientist at PROS
Industry
Technology / Software / Internet
About
Currently working as a scientist at machine learning group at PROS, working on customer segmentation and pricing guidance and defining the next-gen products of intelligent sales tools. I'm also the organizer and lecturer for the machine learning meetup in Houston area.
Ph.D. with research focus in machine learning, computer vision and bioinformatics.
Proficient programming in C++, Python and Matlab.
Particularly my research interests are:
Prediction analytics
Data visualization
Computer vision
I'm happy to be a R&D, and love challenges. I'm also an enthusiastic Kaggler, a "Taiji" lover and a classic music pianist.
Tags
deep learning
houston machine learning
machine learning
clustering
reinforcement learning
neural network
image processing
bandits
autoencoders
lstm
unsupervised learning
data mining
data science
time series
retail
kaggle
forecast
dynamic programming
tensorflow
tensorflow 2.0
recommendation
contextual bandits
multi-armed bandits
education
nlp
question generation
seismic image
salt body characterization
brain injury
deep hierarchical features
anomaly detection
cloud computing
science platform
qubole
regularization
feed forward neural network
statistics
linear algebra
trends
alphago
adam
rmsprop
stochastic gradient descent
optimization
nag
adagrad
sgd
rnn
cnn
classificiation
lle
isomap
dimension reduction
tsne
mean shift
hierarchical clustering
spectral clustering
kmeans
dbscan
3-d
hadoop
map-reduce
bayes
kernel
monte carlo
rna
bioinformatics
dna
sequencing
level set
active contour
segmentation
See more
Presentations
(30)Likes
(1)Data Science - Part XII - Ridge Regression, LASSO, and Elastic Nets
Derek Kane
•
9 years ago
Personal Information
Organization / Workplace
Houston, Texas Area, TX United States
Occupation
PhD, Scientist at PROS
Industry
Technology / Software / Internet
About
Currently working as a scientist at machine learning group at PROS, working on customer segmentation and pricing guidance and defining the next-gen products of intelligent sales tools. I'm also the organizer and lecturer for the machine learning meetup in Houston area.
Ph.D. with research focus in machine learning, computer vision and bioinformatics.
Proficient programming in C++, Python and Matlab.
Particularly my research interests are:
Prediction analytics
Data visualization
Computer vision
I'm happy to be a R&D, and love challenges. I'm also an enthusiastic Kaggler, a "Taiji" lover and a classic music pianist.
Tags
deep learning
houston machine learning
machine learning
clustering
reinforcement learning
neural network
image processing
bandits
autoencoders
lstm
unsupervised learning
data mining
data science
time series
retail
kaggle
forecast
dynamic programming
tensorflow
tensorflow 2.0
recommendation
contextual bandits
multi-armed bandits
education
nlp
question generation
seismic image
salt body characterization
brain injury
deep hierarchical features
anomaly detection
cloud computing
science platform
qubole
regularization
feed forward neural network
statistics
linear algebra
trends
alphago
adam
rmsprop
stochastic gradient descent
optimization
nag
adagrad
sgd
rnn
cnn
classificiation
lle
isomap
dimension reduction
tsne
mean shift
hierarchical clustering
spectral clustering
kmeans
dbscan
3-d
hadoop
map-reduce
bayes
kernel
monte carlo
rna
bioinformatics
dna
sequencing
level set
active contour
segmentation
See more