Ecoer Logo
VOTING POWER100.00%
DOWNVOTE POWER100.00%
RESOURCE CREDITS100.00%
REPUTATION PROGRESS0.00%
Net Worth
0.000USD
STEEM
0.000STEEM
SBD
0.000SBD
Effective Power
1.200SP
├── Own SP
0.000SP
└── Incoming Deleg
+1.200SP

Detailed Balance

STEEM
balance
0.000STEEM
market_balance
0.000STEEM
savings_balance
0.000STEEM
reward_steem_balance
0.000STEEM
STEEM POWER
Own SP
0.000SP
Delegated Out
0.000SP
Delegation In
1.200SP
Effective Power
1.200SP
Reward SP (pending)
0.000SP
SBD
sbd_balance
0.000SBD
sbd_conversions
0.000SBD
sbd_market_balance
0.000SBD
savings_sbd_balance
0.000SBD
reward_sbd_balance
0.000SBD
{
  "balance": "0.000 STEEM",
  "savings_balance": "0.000 STEEM",
  "reward_steem_balance": "0.000 STEEM",
  "vesting_shares": "0.000000 VESTS",
  "delegated_vesting_shares": "0.000000 VESTS",
  "received_vesting_shares": "1953.311140 VESTS",
  "sbd_balance": "0.000 SBD",
  "savings_sbd_balance": "0.000 SBD",
  "reward_sbd_balance": "0.000 SBD",
  "conversions": []
}

Account Info

namedb2crush
id1223051
rank1,561,183
reputation7472893
created2019-02-19T13:11:45
recovery_accountsteem
proxyNone
post_count5
comment_count0
lifetime_vote_count0
witnesses_voted_for0
last_post2019-02-20T11:23:21
last_root_post2019-02-20T11:23:21
last_vote_time1970-01-01T00:00:00
proxied_vsf_votes0, 0, 0, 0
can_vote1
voting_power0
delayed_votes0
balance0.000 STEEM
savings_balance0.000 STEEM
sbd_balance0.000 SBD
savings_sbd_balance0.000 SBD
vesting_shares0.000000 VESTS
delegated_vesting_shares0.000000 VESTS
received_vesting_shares1953.311140 VESTS
reward_vesting_balance0.000000 VESTS
vesting_balance0.000 STEEM
vesting_withdraw_rate0.000000 VESTS
next_vesting_withdrawal1969-12-31T23:59:59
withdrawn0
to_withdraw0
withdraw_routes0
savings_withdraw_requests0
last_account_recovery1970-01-01T00:00:00
reset_accountnull
last_owner_update1970-01-01T00:00:00
last_account_update1970-01-01T00:00:00
minedNo
sbd_seconds0
sbd_last_interest_payment1970-01-01T00:00:00
savings_sbd_last_interest_payment1970-01-01T00:00:00
{
  "id": 1223051,
  "name": "db2crush",
  "owner": {
    "weight_threshold": 1,
    "account_auths": [],
    "key_auths": [
      [
        "STM59VxefEwehjhAvLWb8iSQJ2bzRgqtRYE3wFbvHXqn11VPCqTJ3",
        1
      ]
    ]
  },
  "active": {
    "weight_threshold": 1,
    "account_auths": [],
    "key_auths": [
      [
        "STM5KHWUc7gcs9o48vSZCjTFHpiVBXjzYPKp3tuNZ6eKC1E87tkBF",
        1
      ]
    ]
  },
  "posting": {
    "weight_threshold": 1,
    "account_auths": [],
    "key_auths": [
      [
        "STM6dnxXzbRkNQxmbytoLvekMEXFjzgm5qNLXQT4dwouTZHVtccFy",
        1
      ]
    ]
  },
  "memo_key": "STM8cJfsyDi7y86nRLWTgmRggjY6K4NCan9ZA3ntNckoWUwadEsrA",
  "json_metadata": "{}",
  "posting_json_metadata": "",
  "proxy": "",
  "last_owner_update": "1970-01-01T00:00:00",
  "last_account_update": "1970-01-01T00:00:00",
  "created": "2019-02-19T13:11:45",
  "mined": false,
  "recovery_account": "steem",
  "last_account_recovery": "1970-01-01T00:00:00",
  "reset_account": "null",
  "comment_count": 0,
  "lifetime_vote_count": 0,
  "post_count": 5,
  "can_vote": true,
  "voting_manabar": {
    "current_mana": 1953311140,
    "last_update_time": 1588926054
  },
  "downvote_manabar": {
    "current_mana": 488327785,
    "last_update_time": 1588926054
  },
  "voting_power": 0,
  "balance": "0.000 STEEM",
  "savings_balance": "0.000 STEEM",
  "sbd_balance": "0.000 SBD",
  "sbd_seconds": "0",
  "sbd_seconds_last_update": "1970-01-01T00:00:00",
  "sbd_last_interest_payment": "1970-01-01T00:00:00",
  "savings_sbd_balance": "0.000 SBD",
  "savings_sbd_seconds": "0",
  "savings_sbd_seconds_last_update": "1970-01-01T00:00:00",
  "savings_sbd_last_interest_payment": "1970-01-01T00:00:00",
  "savings_withdraw_requests": 0,
  "reward_sbd_balance": "0.000 SBD",
  "reward_steem_balance": "0.000 STEEM",
  "reward_vesting_balance": "0.000000 VESTS",
  "reward_vesting_steem": "0.000 STEEM",
  "vesting_shares": "0.000000 VESTS",
  "delegated_vesting_shares": "0.000000 VESTS",
  "received_vesting_shares": "1953.311140 VESTS",
  "vesting_withdraw_rate": "0.000000 VESTS",
  "next_vesting_withdrawal": "1969-12-31T23:59:59",
  "withdrawn": 0,
  "to_withdraw": 0,
  "withdraw_routes": 0,
  "curation_rewards": 0,
  "posting_rewards": 0,
  "proxied_vsf_votes": [
    0,
    0,
    0,
    0
  ],
  "witnesses_voted_for": 0,
  "last_post": "2019-02-20T11:23:21",
  "last_root_post": "2019-02-20T11:23:21",
  "last_vote_time": "1970-01-01T00:00:00",
  "post_bandwidth": 0,
  "pending_claimed_accounts": 0,
  "vesting_balance": "0.000 STEEM",
  "reputation": 7472893,
  "transfer_history": [],
  "market_history": [],
  "post_history": [],
  "vote_history": [],
  "other_history": [],
  "witness_votes": [],
  "tags_usage": [],
  "guest_bloggers": [],
  "rank": 1561183
}

Withdraw Routes

IncomingOutgoing
Empty
Empty
{
  "incoming": [],
  "outgoing": []
}
From Date
To Date
steemdelegated 1.200 SP to @db2crush
2020/05/08 08:20:54
delegatorsteem
delegateedb2crush
vesting shares1953.311140 VESTS
Transaction InfoBlock #43191968/Trx 76202bd67a6764aa23a92f1adfca8eda966e9d20
View Raw JSON Data
{
  "trx_id": "76202bd67a6764aa23a92f1adfca8eda966e9d20",
  "block": 43191968,
  "trx_in_block": 5,
  "op_in_trx": 0,
  "virtual_op": 0,
  "timestamp": "2020-05-08T08:20:54",
  "op": [
    "delegate_vesting_shares",
    {
      "delegator": "steem",
      "delegatee": "db2crush",
      "vesting_shares": "1953.311140 VESTS"
    }
  ]
}
steemdelegated 6.002 SP to @db2crush
2020/04/26 08:43:12
delegatorsteem
delegateedb2crush
vesting shares9773.297478 VESTS
Transaction InfoBlock #42855345/Trx ba17fc8c701c27331a555f102a287aa9099fbbff
View Raw JSON Data
{
  "trx_id": "ba17fc8c701c27331a555f102a287aa9099fbbff",
  "block": 42855345,
  "trx_in_block": 9,
  "op_in_trx": 0,
  "virtual_op": 0,
  "timestamp": "2020-04-26T08:43:12",
  "op": [
    "delegate_vesting_shares",
    {
      "delegator": "steem",
      "delegatee": "db2crush",
      "vesting_shares": "9773.297478 VESTS"
    }
  ]
}
2020/02/19 14:14:09
parent authordb2crush
parent permlinkunsupervised-machine-learning
authorsteemitboard
permlinksteemitboard-notify-db2crush-20200219t141408000z
title
bodyCongratulations @db2crush! You received a personal award! <table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@db2crush/birthday1.png</td><td>Happy Birthday! - You are on the Steem blockchain for 1 year!</td></tr></table> <sub>_You can view [your badges on your Steem Board](https://steemitboard.com/@db2crush) and compare to others on the [Steem Ranking](https://steemitboard.com/ranking/index.php?name=db2crush)_</sub> **Do not miss the last post from @steemitboard:** <table><tr><td><a href="https://steemit.com/steemitboard/@steemitboard/valentine-s-day-challenge-give-a-badge-to-your-beloved"><img src="https://steemitimages.com/64x128/http://i.cubeupload.com/LvDzr5.png"></a></td><td><a href="https://steemit.com/steemitboard/@steemitboard/valentine-s-day-challenge-give-a-badge-to-your-beloved">Valentine's day challenge - Give a badge to your beloved!</a></td></tr></table> ###### [Vote for @Steemitboard as a witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1) to get one more award and increased upvotes!
json metadata{"image":["https://steemitboard.com/img/notify.png"]}
Transaction InfoBlock #40957740/Trx 5dcc3c23a1bbb1270717c641f1b332ecf8b7f273
View Raw JSON Data
{
  "trx_id": "5dcc3c23a1bbb1270717c641f1b332ecf8b7f273",
  "block": 40957740,
  "trx_in_block": 10,
  "op_in_trx": 0,
  "virtual_op": 0,
  "timestamp": "2020-02-19T14:14:09",
  "op": [
    "comment",
    {
      "parent_author": "db2crush",
      "parent_permlink": "unsupervised-machine-learning",
      "author": "steemitboard",
      "permlink": "steemitboard-notify-db2crush-20200219t141408000z",
      "title": "",
      "body": "Congratulations @db2crush! You received a personal award!\n\n<table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@db2crush/birthday1.png</td><td>Happy Birthday! - You are on the Steem blockchain for 1 year!</td></tr></table>\n\n<sub>_You can view [your badges on your Steem Board](https://steemitboard.com/@db2crush) and compare to others on the [Steem Ranking](https://steemitboard.com/ranking/index.php?name=db2crush)_</sub>\n\n\n**Do not miss the last post from @steemitboard:**\n<table><tr><td><a href=\"https://steemit.com/steemitboard/@steemitboard/valentine-s-day-challenge-give-a-badge-to-your-beloved\"><img src=\"https://steemitimages.com/64x128/http://i.cubeupload.com/LvDzr5.png\"></a></td><td><a href=\"https://steemit.com/steemitboard/@steemitboard/valentine-s-day-challenge-give-a-badge-to-your-beloved\">Valentine's day challenge - Give a badge to your beloved!</a></td></tr></table>\n\n###### [Vote for @Steemitboard as a witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1) to get one more award and increased upvotes!",
      "json_metadata": "{\"image\":[\"https://steemitboard.com/img/notify.png\"]}"
    }
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}
steemdelegated 6.122 SP to @db2crush
2019/05/22 12:14:36
delegatorsteem
delegateedb2crush
vesting shares9968.816070 VESTS
Transaction InfoBlock #33130115/Trx 0624be42c96f0de30cc08037855dee5c9171a9dc
View Raw JSON Data
{
  "trx_id": "0624be42c96f0de30cc08037855dee5c9171a9dc",
  "block": 33130115,
  "trx_in_block": 5,
  "op_in_trx": 0,
  "virtual_op": 0,
  "timestamp": "2019-05-22T12:14:36",
  "op": [
    "delegate_vesting_shares",
    {
      "delegator": "steem",
      "delegatee": "db2crush",
      "vesting_shares": "9968.816070 VESTS"
    }
  ]
}
2019/02/26 06:15:54
parent authordb2crush
parent permlinkunsupervised-machine-learning
authorpartiko
permlinkpartiko-re-db2crush-unsupervised-machine-learning-20190226t061554168z
title
bodyHello @db2crush! This is a friendly reminder that you have 3000 Partiko Points unclaimed in your Partiko account! Partiko is a fast and beautiful mobile app for Steem, and it’s the most popular Steem mobile app out there! Download Partiko using the link below and login using SteemConnect to claim your 3000 Partiko points! You can easily convert them into Steem token! https://partiko.app/referral/partiko ![](https://d1vof77qrk4l5q.cloudfront.net/statics/partiko-poster-best-steem-app-for-your-phone.jpg)
json metadata{"app":"partiko"}
Transaction InfoBlock #30678038/Trx 42aaf47a86ee139d065396b8b34e315e2ec919d2
View Raw JSON Data
{
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  "block": 30678038,
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  "virtual_op": 0,
  "timestamp": "2019-02-26T06:15:54",
  "op": [
    "comment",
    {
      "parent_author": "db2crush",
      "parent_permlink": "unsupervised-machine-learning",
      "author": "partiko",
      "permlink": "partiko-re-db2crush-unsupervised-machine-learning-20190226t061554168z",
      "title": "",
      "body": "Hello @db2crush! This is a friendly reminder that you have 3000 Partiko Points unclaimed in your Partiko account!\n\nPartiko is a fast and beautiful mobile app for Steem, and it’s the most popular Steem mobile app out there! Download Partiko using the link below and login using SteemConnect to claim your 3000 Partiko points! You can easily convert them into Steem token!\n\nhttps://partiko.app/referral/partiko\n\n![](https://d1vof77qrk4l5q.cloudfront.net/statics/partiko-poster-best-steem-app-for-your-phone.jpg)",
      "json_metadata": "{\"app\":\"partiko\"}"
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}
2019/02/20 11:40:21
voterkinaki
authordb2crush
permlinkunsupervised-machine-learning
weight10000 (100.00%)
Transaction InfoBlock #30511847/Trx 3d5a605076e64285204a40d29eebdbe9fa01b506
View Raw JSON Data
{
  "trx_id": "3d5a605076e64285204a40d29eebdbe9fa01b506",
  "block": 30511847,
  "trx_in_block": 7,
  "op_in_trx": 0,
  "virtual_op": 0,
  "timestamp": "2019-02-20T11:40:21",
  "op": [
    "vote",
    {
      "voter": "kinaki",
      "author": "db2crush",
      "permlink": "unsupervised-machine-learning",
      "weight": 10000
    }
  ]
}
2019/02/20 11:32:48
parent author
parent permlinkmachinelearning
authordb2crush
permlinkunsupervised-machine-learning
titleUnsupervised Machine Learning
body<html> <p>Unsupervised learning allows us to approach problems with little or no idea what our results should look like. We can derive structure from data where we don't necessarily know the effect of the variables.</p> <p>We can derive this structure by clustering the data based on relationships among the variables in the data.</p> <p>With unsupervised learning there is no feedback based on the prediction results.</p> <p><br></p> <p><strong>Example:</strong></p> <p>Clustering&nbsp;</p> <p>Take a collection of 1,000,000 different genes, and find a way to automatically group these genes into groups that are somehow similar or related by different variables, such as lifespan, location, roles, and so on.</p> <p><br></p> <p>Non-clustering&nbsp;</p> <p>The "Cocktail Party Algorithm", allows you to find structure in a chaotic environment. (i.e. identifying individual voices and music from a mesh of sounds at a cocktail party).</p> </html>
json metadata{"tags":["machinelearning","unsupervised"],"app":"steemit/0.1","format":"html"}
Transaction InfoBlock #30511696/Trx e21ac2db3169fb0731bda9a265569af7eb235740
View Raw JSON Data
{
  "trx_id": "e21ac2db3169fb0731bda9a265569af7eb235740",
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  "trx_in_block": 17,
  "op_in_trx": 0,
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  "timestamp": "2019-02-20T11:32:48",
  "op": [
    "comment",
    {
      "parent_author": "",
      "parent_permlink": "machinelearning",
      "author": "db2crush",
      "permlink": "unsupervised-machine-learning",
      "title": "Unsupervised Machine Learning",
      "body": "<html>\n<p>Unsupervised learning allows us to approach problems with little or no idea what our results should look like. We can derive structure from data where we don't necessarily know the effect of the variables.</p>\n<p>We can derive this structure by clustering the data based on relationships among the variables in the data.</p>\n<p>With unsupervised learning there is no feedback based on the prediction results.</p>\n<p><br></p>\n<p><strong>Example:</strong></p>\n<p>Clustering&nbsp;</p>\n<p>Take a collection of 1,000,000 different genes, and find a way to automatically group these genes into groups that are somehow similar or related by different variables, such as lifespan, location, roles, and so on.</p>\n<p><br></p>\n<p>Non-clustering&nbsp;</p>\n<p>The \"Cocktail Party Algorithm\", allows you to find structure in a chaotic environment. (i.e. identifying individual voices and music from a mesh of sounds at a cocktail party).</p>\n</html>",
      "json_metadata": "{\"tags\":[\"machinelearning\",\"unsupervised\"],\"app\":\"steemit/0.1\",\"format\":\"html\"}"
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}
2019/02/20 11:25:15
voterminibot
authordb2crush
permlinkunsupervised-machine-learning
weight500 (5.00%)
Transaction InfoBlock #30511545/Trx 2d2198da434ca39566b5f6786c500668e088a7b1
View Raw JSON Data
{
  "trx_id": "2d2198da434ca39566b5f6786c500668e088a7b1",
  "block": 30511545,
  "trx_in_block": 15,
  "op_in_trx": 0,
  "virtual_op": 0,
  "timestamp": "2019-02-20T11:25:15",
  "op": [
    "vote",
    {
      "voter": "minibot",
      "author": "db2crush",
      "permlink": "unsupervised-machine-learning",
      "weight": 500
    }
  ]
}
2019/02/20 11:23:21
parent author
parent permlinkmachinelearning
authordb2crush
permlinkunsupervised-machine-learning
titleUnsupervised Machine Learning
body<html> <p>Unsupervised Machine Learning is a techniques to find the patterns in data. aka clustering.</p> <p><br></p> <p>Example )</p> <p>1. Given a set of news articles found on the web, group them into set of articles about the same story.</p> <p>2. Given a database of customer data, automatically discover market segments and group customers into different market segments.</p> </html>
json metadata{"tags":["machinelearning","unsupervised"],"app":"steemit/0.1","format":"html"}
Transaction InfoBlock #30511507/Trx 29fdd1db480c5600f64099ed47787e871c7a654a
View Raw JSON Data
{
  "trx_id": "29fdd1db480c5600f64099ed47787e871c7a654a",
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  "trx_in_block": 1,
  "op_in_trx": 0,
  "virtual_op": 0,
  "timestamp": "2019-02-20T11:23:21",
  "op": [
    "comment",
    {
      "parent_author": "",
      "parent_permlink": "machinelearning",
      "author": "db2crush",
      "permlink": "unsupervised-machine-learning",
      "title": "Unsupervised Machine Learning",
      "body": "<html>\n<p>Unsupervised Machine Learning is a techniques to find the patterns in data. aka clustering.</p>\n<p><br></p>\n<p>Example )</p>\n<p>1. Given a set of news articles found on the web, group them into set of articles about the same story.</p>\n<p>2. Given a database of customer data, automatically discover market segments and group customers into different market segments.</p>\n</html>",
      "json_metadata": "{\"tags\":[\"machinelearning\",\"unsupervised\"],\"app\":\"steemit/0.1\",\"format\":\"html\"}"
    }
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}
2019/02/20 11:16:12
voteralirezasha
authordb2crush
permlinkwhat-is-machine-learning
weight10000 (100.00%)
Transaction InfoBlock #30511364/Trx 3a18d7141246380bf1fcc5e641454a2e616b593f
View Raw JSON Data
{
  "trx_id": "3a18d7141246380bf1fcc5e641454a2e616b593f",
  "block": 30511364,
  "trx_in_block": 6,
  "op_in_trx": 0,
  "virtual_op": 0,
  "timestamp": "2019-02-20T11:16:12",
  "op": [
    "vote",
    {
      "voter": "alirezasha",
      "author": "db2crush",
      "permlink": "what-is-machine-learning",
      "weight": 10000
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  ]
}
2019/02/20 11:04:00
parent author
parent permlinkmachinelearning
authordb2crush
permlinksupervised-machine-learning
titleSupervised Machine Learning
body@@ -722,15 +722,270 @@ es.%3C/p%3E%0A +%3Cp%3E%3Cbr%3E%3C/p%3E%0A%3Cp%3EExample%3C/p%3E%0A%3Cp%3Eregression - Given a picture of a person, we have to predict their age on the basis of the given picture.%3C/p%3E%0A%3Cp%3Eclassification - Given a patient with a tumor, we have to predict whether the tumor is malignant or benign.%3C/p%3E%0A %3C/html%3E
json metadata{"tags":["machinelearning","supervised"],"app":"steemit/0.1","format":"html"}
Transaction InfoBlock #30511120/Trx fea53a8283131893de9837a357a259d5d14f2745
View Raw JSON Data
{
  "trx_id": "fea53a8283131893de9837a357a259d5d14f2745",
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  "timestamp": "2019-02-20T11:04:00",
  "op": [
    "comment",
    {
      "parent_author": "",
      "parent_permlink": "machinelearning",
      "author": "db2crush",
      "permlink": "supervised-machine-learning",
      "title": "Supervised Machine Learning",
      "body": "@@ -722,15 +722,270 @@\n es.%3C/p%3E%0A\n+%3Cp%3E%3Cbr%3E%3C/p%3E%0A%3Cp%3EExample%3C/p%3E%0A%3Cp%3Eregression - Given a picture of a person, we have to predict their age on the basis of the given picture.%3C/p%3E%0A%3Cp%3Eclassification - Given a patient with a tumor, we have to predict whether the tumor is malignant or benign.%3C/p%3E%0A\n %3C/html%3E\n",
      "json_metadata": "{\"tags\":[\"machinelearning\",\"supervised\"],\"app\":\"steemit/0.1\",\"format\":\"html\"}"
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}
2019/02/20 11:00:12
parent author
parent permlinkmachinelearning
authordb2crush
permlinksupervised-machine-learning
titleSupervised Machine Learning
body<html> <p><strong>Supervised Learning</strong></p> <p>In supervised learning, we are given a data set and already know what our correct output should look like, having the idea that there is a relationship between the input and the output.</p> <p>Supervised learning problems are categorized into "<strong>regression</strong>" and "<strong>classification</strong>" problems.</p> <p>In a regression problem, we are trying to predict results within a continuous output, meaning that we are trying to map input variables to some continuous function.</p> <p>In a classification problem, we are instead trying to predict results in a discrete output. In other words, we are trying to map input variables into discrete categories.</p> </html>
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Transaction InfoBlock #30511044/Trx b6ba550d7cb0c2318dec65252d61a5112ee7641e
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      "body": "<html>\n<p><strong>Supervised Learning</strong></p>\n<p>In supervised learning, we are given a data set and already know what our correct output should look like, having the idea that there is a relationship between the input and the output.</p>\n<p>Supervised learning problems are categorized into \"<strong>regression</strong>\" and \"<strong>classification</strong>\" problems.</p>\n<p>In a regression problem, we are trying to predict results within a continuous output, meaning that we are trying to map input variables to some continuous function.</p>\n<p>In a classification problem, we are instead trying to predict results in a discrete output. In other words, we are trying to map input variables into discrete categories.</p>\n</html>",
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db2crushpublished a new post: what-is-machine-learning
2019/02/20 10:37:21
parent author
parent permlinkmachinelearning
authordb2crush
permlinkwhat-is-machine-learning
titleWhat is Machine Learning?
body@@ -44,19 +44,18 @@ n.%3C/p%3E%0A%3C -pre +h2 %3E%3Ccode%3EA @@ -264,11 +264,10 @@ e%3E%3C/ -pre +h2 %3E%0A%3Cp
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db2crushpublished a new post: what-is-machine-learning
2019/02/20 10:36:45
parent author
parent permlinkmachinelearning
authordb2crush
permlinkwhat-is-machine-learning
titleWhat is Machine Learning?
body<html> <p>Tom Mitchell provides a definition.</p> <pre><code>A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E.</code></pre> <p>ex) playing checkers.</p> <p>E = the experience of playing many games of checkers</p> <p>T = the task of playing checkers.</p> <p>P = the probability that the program can be assigned to one of two broad classifications.</p> <p><br></p> <p>In general, any machine learning problem can be assigned to one of two broad classifications.</p> <p>Supervised learning and Unsupervised learning.</p> </html>
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      "body": "<html>\n<p>Tom Mitchell provides a definition.</p>\n<pre><code>A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E.</code></pre>\n<p>ex) playing checkers.</p>\n<p>E = the experience of playing many games of checkers</p>\n<p>T = the task of playing checkers.</p>\n<p>P = the probability that the program can be assigned to one of two broad classifications.</p>\n<p><br></p>\n<p>In general, any machine learning problem can be assigned to one of two broad classifications.</p>\n<p>Supervised learning and Unsupervised learning.</p>\n</html>",
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steemdelegated 18.463 SP to @db2crush
2019/02/19 14:17:06
delegatorsteem
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chunumunuupvoted (5.00%) @db2crush / redis
2019/02/19 14:07:21
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francelysupvoted (100.00%) @db2crush / redis
2019/02/19 13:24:39
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sanamangupvoted (5.00%) @db2crush / test
2019/02/19 13:24:06
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db2crushpublished a new post: redis
2019/02/19 13:22:39
parent author
parent permlinkredis
authordb2crush
permlinkredis
title레디스(Redis) 프로토콜 특징
body<html> <p><strong>1. Binary Safe</strong></p> <p>전송되는 데이터에 따라서 프로토콜이 오작동하지 않는다. 예를 들어 어떤 프로토콜이 데이터의 전송 종료를 알리기 위한 구분자로 줄바꿈 문자를 사용한다고 가정하자. 이때 텍스트 파일을 데이터로 전송하면 데이터가 전부 전송되지 못하고 종료되는 현상이 벌어진다. 이런 현상을 발생시키는 프로토콜들은 binary safe 하지 않다.</p> <p><strong>2. Type</strong></p> <p>발신/수신 프로토콜을 살펴보기 위해서&nbsp;</p> <pre><code>set key value</code></pre> <p>를 예시로 들어보자.</p> <p><br></p> <p>위의 레디스 명령어를 발신 프로토콜로 변환하면 아래와 같다.</p> <pre><code>*3 $3set $3key $5value</code></pre> <p>*은 명령어 수를 나타내며, $는 바이트 수를 나타낸다.</p> <p>set key value는 3개의 명령어를 가지며, set, key, value가 각각 3bytes, 3bytes, 5bytes 이기 때문에 위와 같이 표현된다.</p> <p><br></p> <p>수신 프로토콜은 매우 단순하다.&nbsp;</p> <p>첫 번째 1바이트의 값이 응답 데이터의 종류를 의미하는데, 응답 데이터에는 5가지 구분자가 존재한다.</p> <pre><code>+ : 상태 응답. 요청된 명령의 처리 결과에 대한 상태 메시지를 반환</code></pre> <pre><code>ㅡ : 에러 응답. 요청된 명령이 실패했을 때 실패의 원인에 대한 상태 메시지를 반환</code></pre> <pre><code>: : 숫자 응답. 요청된 명령에 처리 결과를 숫자로 반환</code></pre> <pre><code>$ : 데이터의 크기를 포함한 데이터를 반환</code></pre> <pre><code>* : 응답되는 데이터 개수를 반환</code></pre> </html>
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      "body": "<html>\n<p><strong>1. Binary Safe</strong></p>\n<p>전송되는 데이터에 따라서 프로토콜이 오작동하지 않는다. 예를 들어 어떤 프로토콜이 데이터의 전송 종료를 알리기 위한 구분자로 줄바꿈 문자를 사용한다고 가정하자. 이때 텍스트 파일을 데이터로 전송하면 데이터가 전부 전송되지 못하고 종료되는 현상이 벌어진다. 이런 현상을 발생시키는 프로토콜들은 binary safe 하지 않다.</p>\n<p><strong>2. Type</strong></p>\n<p>발신/수신 프로토콜을 살펴보기 위해서&nbsp;</p>\n<pre><code>set key value</code></pre>\n<p>를 예시로 들어보자.</p>\n<p><br></p>\n<p>위의 레디스 명령어를 발신 프로토콜로 변환하면 아래와 같다.</p>\n<pre><code>*3 $3set $3key $5value</code></pre>\n<p>*은 명령어 수를 나타내며, $는 바이트 수를 나타낸다.</p>\n<p>set key value는 3개의 명령어를 가지며, set, key, value가 각각 3bytes, 3bytes, 5bytes 이기 때문에 위와 같이 표현된다.</p>\n<p><br></p>\n<p>수신 프로토콜은 매우 단순하다.&nbsp;</p>\n<p>첫 번째 1바이트의 값이 응답 데이터의 종류를 의미하는데, 응답 데이터에는 5가지 구분자가 존재한다.</p>\n<pre><code>+ : 상태 응답. 요청된 명령의 처리 결과에 대한 상태 메시지를 반환</code></pre>\n<pre><code>ㅡ : 에러 응답. 요청된 명령이 실패했을 때 실패의 원인에 대한 상태 메시지를 반환</code></pre>\n<pre><code>: : 숫자 응답. 요청된 명령에 처리 결과를 숫자로 반환</code></pre>\n<pre><code>$ : 데이터의 크기를 포함한 데이터를 반환</code></pre>\n<pre><code>* : 응답되는 데이터 개수를 반환</code></pre>\n</html>",
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db2crushpublished a new post: test
2019/02/19 13:14:57
parent author
parent permlinktest
authordb2crush
permlinktest
titletest
bodytest
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steemdelegated 18.607 SP to @db2crush
2019/02/19 13:11:45
delegatorsteem
delegateedb2crush
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steemcreated a new account: @db2crush
2019/02/19 13:11:45
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