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 DelegationsDeleg
+1.200SP
Detailed Balance
| STEEM | ||
| balance | 0.000STEEM | STEEM |
| market_balance | 0.000STEEM | STEEM |
| savings_balance | 0.000STEEM | STEEM |
| reward_steem_balance | 0.000STEEM | STEEM |
| STEEM POWER | ||
| Own SP | 0.000SP | SP |
| Delegated Out | 0.000SP | SP |
| Delegation In | 1.200SP | SP |
| Effective Power | 1.200SP | SP |
| Reward SP (pending) | 0.000SP | SP |
| SBD | ||
| sbd_balance | 0.000SBD | SBD |
| sbd_conversions | 0.000SBD | SBD |
| sbd_market_balance | 0.000SBD | SBD |
| savings_sbd_balance | 0.000SBD | SBD |
| reward_sbd_balance | 0.000SBD | SBD |
{
"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
| name | db2crush |
| id | 1223051 |
| rank | 1,561,183 |
| reputation | 7472893 |
| created | 2019-02-19T13:11:45 |
| recovery_account | steem |
| proxy | None |
| post_count | 5 |
| comment_count | 0 |
| lifetime_vote_count | 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 |
| proxied_vsf_votes | 0, 0, 0, 0 |
| can_vote | 1 |
| voting_power | 0 |
| delayed_votes | 0 |
| balance | 0.000 STEEM |
| savings_balance | 0.000 STEEM |
| sbd_balance | 0.000 SBD |
| savings_sbd_balance | 0.000 SBD |
| vesting_shares | 0.000000 VESTS |
| delegated_vesting_shares | 0.000000 VESTS |
| received_vesting_shares | 1953.311140 VESTS |
| reward_vesting_balance | 0.000000 VESTS |
| vesting_balance | 0.000 STEEM |
| vesting_withdraw_rate | 0.000000 VESTS |
| next_vesting_withdrawal | 1969-12-31T23:59:59 |
| withdrawn | 0 |
| to_withdraw | 0 |
| withdraw_routes | 0 |
| savings_withdraw_requests | 0 |
| last_account_recovery | 1970-01-01T00:00:00 |
| reset_account | null |
| last_owner_update | 1970-01-01T00:00:00 |
| last_account_update | 1970-01-01T00:00:00 |
| mined | No |
| sbd_seconds | 0 |
| sbd_last_interest_payment | 1970-01-01T00:00:00 |
| savings_sbd_last_interest_payment | 1970-01-01T00:00:00 |
{
"id": 1223051,
"name": "db2crush",
"owner": {
"weight_threshold": 1,
"account_auths": [],
"key_auths": [
[
"STM59VxefEwehjhAvLWb8iSQJ2bzRgqtRYE3wFbvHXqn11VPCqTJ3",
1
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]
},
"active": {
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[
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1
]
]
},
"posting": {
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"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
| Incoming | Outgoing |
|---|---|
Empty | Empty |
{
"incoming": [],
"outgoing": []
}From Date
To Date
2020/05/08 08:20:54
2020/05/08 08:20:54
| delegator | steem |
| delegatee | db2crush |
| vesting shares | 1953.311140 VESTS |
| Transaction Info | Block #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"
}
]
}2020/04/26 08:43:12
2020/04/26 08:43:12
| delegator | steem |
| delegatee | db2crush |
| vesting shares | 9773.297478 VESTS |
| Transaction Info | Block #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
2020/02/19 14:14:09
| parent author | db2crush |
| parent permlink | unsupervised-machine-learning |
| author | steemitboard |
| permlink | steemitboard-notify-db2crush-20200219t141408000z |
| title | |
| body | Congratulations @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 Info | Block #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\"]}"
}
]
}2019/05/22 12:14:36
2019/05/22 12:14:36
| delegator | steem |
| delegatee | db2crush |
| vesting shares | 9968.816070 VESTS |
| Transaction Info | Block #33130115/Trx 0624be42c96f0de30cc08037855dee5c9171a9dc |
View Raw JSON Data
{
"trx_id": "0624be42c96f0de30cc08037855dee5c9171a9dc",
"block": 33130115,
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"timestamp": "2019-05-22T12:14:36",
"op": [
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{
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"vesting_shares": "9968.816070 VESTS"
}
]
}2019/02/26 06:15:54
2019/02/26 06:15:54
| 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! 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  |
| json metadata | {"app":"partiko"} |
| Transaction Info | Block #30678038/Trx 42aaf47a86ee139d065396b8b34e315e2ec919d2 |
View Raw JSON Data
{
"trx_id": "42aaf47a86ee139d065396b8b34e315e2ec919d2",
"block": 30678038,
"trx_in_block": 13,
"op_in_trx": 0,
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"timestamp": "2019-02-26T06:15:54",
"op": [
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{
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"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",
"json_metadata": "{\"app\":\"partiko\"}"
}
]
}kinakiupvoted (100.00%) @db2crush / unsupervised-machine-learning2019/02/20 11:40:21
kinakiupvoted (100.00%) @db2crush / unsupervised-machine-learning
2019/02/20 11:40:21
| voter | kinaki |
| author | db2crush |
| permlink | unsupervised-machine-learning |
| weight | 10000 (100.00%) |
| Transaction Info | Block #30511847/Trx 3d5a605076e64285204a40d29eebdbe9fa01b506 |
View Raw JSON Data
{
"trx_id": "3d5a605076e64285204a40d29eebdbe9fa01b506",
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"timestamp": "2019-02-20T11:40:21",
"op": [
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{
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}db2crushpublished a new post: unsupervised-machine-learning2019/02/20 11:32:48
db2crushpublished a new post: unsupervised-machine-learning
2019/02/20 11:32:48
| parent author | |
| parent permlink | machinelearning |
| author | db2crush |
| permlink | unsupervised-machine-learning |
| title | Unsupervised 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 </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 </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 Info | Block #30511696/Trx e21ac2db3169fb0731bda9a265569af7eb235740 |
View Raw JSON Data
{
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"op": [
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"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 </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 </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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]
}minibotupvoted (5.00%) @db2crush / unsupervised-machine-learning2019/02/20 11:25:15
minibotupvoted (5.00%) @db2crush / unsupervised-machine-learning
2019/02/20 11:25:15
| voter | minibot |
| author | db2crush |
| permlink | unsupervised-machine-learning |
| weight | 500 (5.00%) |
| Transaction Info | Block #30511545/Trx 2d2198da434ca39566b5f6786c500668e088a7b1 |
View Raw JSON Data
{
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"op": [
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}db2crushpublished a new post: unsupervised-machine-learning2019/02/20 11:23:21
db2crushpublished a new post: unsupervised-machine-learning
2019/02/20 11:23:21
| parent author | |
| parent permlink | machinelearning |
| author | db2crush |
| permlink | unsupervised-machine-learning |
| title | Unsupervised 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 Info | Block #30511507/Trx 29fdd1db480c5600f64099ed47787e871c7a654a |
View Raw JSON Data
{
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"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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}alirezashaupvoted (100.00%) @db2crush / what-is-machine-learning2019/02/20 11:16:12
alirezashaupvoted (100.00%) @db2crush / what-is-machine-learning
2019/02/20 11:16:12
| voter | alirezasha |
| author | db2crush |
| permlink | what-is-machine-learning |
| weight | 10000 (100.00%) |
| Transaction Info | Block #30511364/Trx 3a18d7141246380bf1fcc5e641454a2e616b593f |
View Raw JSON Data
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"op": [
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}db2crushpublished a new post: supervised-machine-learning2019/02/20 11:04:00
db2crushpublished a new post: supervised-machine-learning
2019/02/20 11:04:00
| parent author | |
| parent permlink | machinelearning |
| author | db2crush |
| permlink | supervised-machine-learning |
| title | Supervised 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 Info | Block #30511120/Trx fea53a8283131893de9837a357a259d5d14f2745 |
View Raw JSON Data
{
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"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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}db2crushpublished a new post: supervised-machine-learning2019/02/20 11:00:12
db2crushpublished a new post: supervised-machine-learning
2019/02/20 11:00:12
| parent author | |
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| author | db2crush |
| permlink | supervised-machine-learning |
| title | Supervised 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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"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-learning2019/02/20 10:37:21
db2crushpublished a new post: what-is-machine-learning
2019/02/20 10:37:21
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| author | db2crush |
| permlink | what-is-machine-learning |
| title | What is Machine Learning? |
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}db2crushpublished a new post: what-is-machine-learning2019/02/20 10:36:45
db2crushpublished a new post: what-is-machine-learning
2019/02/20 10:36:45
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| title | What 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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2019/02/19 14:17:06
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2019/02/19 13:22:39
| parent author | |
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| author | db2crush |
| permlink | redis |
| title | 레디스(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 </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, $는 바이트 수를 나타낸다.</p> <p>set key value는 3개의 명령어를 가지며, set, key, value가 각각 3bytes, 3bytes, 5bytes 이기 때문에 위와 같이 표현된다.</p> <p><br></p> <p>수신 프로토콜은 매우 단순하다. </p> <p>첫 번째 1바이트의 값이 응답 데이터의 종류를 의미하는데, 응답 데이터에는 5가지 구분자가 존재한다.</p> <pre><code>+ : 상태 응답. 요청된 명령의 처리 결과에 대한 상태 메시지를 반환</code></pre> <pre><code>ㅡ : 에러 응답. 요청된 명령이 실패했을 때 실패의 원인에 대한 상태 메시지를 반환</code></pre> <pre><code>: : 숫자 응답. 요청된 명령에 처리 결과를 숫자로 반환</code></pre> <pre><code>$ : 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 </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, $는 바이트 수를 나타낸다.</p>\n<p>set key value는 3개의 명령어를 가지며, set, key, value가 각각 3bytes, 3bytes, 5bytes 이기 때문에 위와 같이 표현된다.</p>\n<p><br></p>\n<p>수신 프로토콜은 매우 단순하다. </p>\n<p>첫 번째 1바이트의 값이 응답 데이터의 종류를 의미하는데, 응답 데이터에는 5가지 구분자가 존재한다.</p>\n<pre><code>+ : 상태 응답. 요청된 명령의 처리 결과에 대한 상태 메시지를 반환</code></pre>\n<pre><code>ㅡ : 에러 응답. 요청된 명령이 실패했을 때 실패의 원인에 대한 상태 메시지를 반환</code></pre>\n<pre><code>: : 숫자 응답. 요청된 명령에 처리 결과를 숫자로 반환</code></pre>\n<pre><code>$ : 데이터의 크기를 포함한 데이터를 반환</code></pre>\n<pre><code>* : 응답되는 데이터 개수를 반환</code></pre>\n</html>",
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2019/02/19 13:14:57
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2019/02/19 13:11:45
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