I hereby claim:
- I am karlmutch on github.
- I am karlmutch (https://keybase.io/karlmutch) on keybase.
- I have a public key ASBi1fSM4ozPiy_0S-Cus0CNsEIiKaS4pNfKLBgWgvVf4Ao
To claim this, I am signing this object:
https://www.dataquest.io/blog/basic-statistics-with-python-descriptive-statistics/ | |
https://blogs.oracle.com/ai/types-of-machine-learning-and-top-10-algorithms-everyone-should-know | |
https://www.kdnuggets.com/2018/05/5-reasons-logistic-regression-first-data-scientist.html | |
https://www.kdnuggets.com/2018/02/logistic-regression-concise-technical-overview.html | |
https://towardsdatascience.com/types-of-machine-learning-algorithms-you-should-know-953a08248861 | |
https://machinelearningmastery.com/a-gentle-introduction-to-the-central-limit-theorem-for-machine-learning/ |
################################################################################################## | |
# experiments service | |
################################################################################################## | |
apiVersion: v1 | |
kind: Service | |
metadata: | |
labels: | |
service: ambassador | |
name: ambassador | |
annotations: |
#!/bin/bash | |
# install CUDA Toolkit v8.0 | |
# instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb (network)) | |
CUDA_REPO_PKG="cuda-repo-ubuntu1604_8.0.61-1_amd64.deb" | |
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/${CUDA_REPO_PKG} | |
sudo dpkg -i ${CUDA_REPO_PKG} | |
sudo apt-get update | |
sudo apt-get -y install cuda |
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-repo-ubuntu1604_8.0.61-1_amd64.deb | |
dpkg -i cuda-repo-ubuntu1604_8.0.61-1_amd64.deb | |
apt-get update | |
apt-get install cuda-nvrtc-8-0 cuda-nvgraph-8-0 cuda-cusolver-8-0 cuda-cublas-8-0 cuda-cufft-8-0 cuda-curand-8-0 cuda-cusparse-8-0 cuda-npp-8-0 cuda-cudart-8-0 cuda-drivers | |
nvidia-smi | |
sudo rmmod nvidia_drm | |
sudo rmmod nvidia_modeset | |
sudo rmmod nvidia_uvm | |
sudo rmmod nvidia | |
nvidia-smi |
from tensorflow.python.client import device_lib | |
def get_available_gpus(): | |
local_device_protos = device_lib.list_local_devices() | |
return [x.name for x in local_device_protos if x.device_type == 'GPU'] | |
get_available_gpus() |
package main | |
import ( | |
"database/sql" | |
"errors" | |
"fmt" | |
_ "github.com/bmizerany/pq" | |
"os" | |
"regexp" | |
"strings" |
I hereby claim:
To claim this, I am signing this object:
// string and rune | |
const sample = "\xbd\xb2\x3d\xbc\x20\xe2\x8c\x98" | |
fmt.Printf("%x\n", sample) "bdb23dbc20e28c98" | |
fmt.Printf("% x\n", sample) "bd b2 3d bc 20 e2 8c 98" | |
fmt.Printf("%q\n", sample) "\xbd\xb2=\xbc ⌘" | |
fmt.Printf("%+q\n", sample) "\xbd\xb2=\xbc \u2318" | |
const nihongo = "日本語" |
package main | |
import "fmt" | |
// fibonacci is a function that returns | |
// a function that returns an int. | |
func fibonacci() func() int { | |
accum1 := 1 | |
accum2 := 0 | |
return func() int { |
func WordCount(s string) map[string]int { | |
wcMap := make(map[string]int) | |
for _,word := range strings.Fields(s) { | |
if _,ok := wcMap[word] ; ok { | |
wcMap[word]++ | |
} else { | |
wcMap[word] = 1 | |
} | |
} |