Ecoer Logo
VOTING POWER100.00%
DOWNVOTE POWER100.00%
RESOURCE CREDITS100.00%
REPUTATION PROGRESS0.00%
Net Worth
3.765USD
STEEM
0.000STEEM
SBD
0.000SBD
Own SP
64.909SP

Detailed Balance

STEEM
balance
0.000STEEM
market_balance
0.000STEEM
savings_balance
0.000STEEM
reward_steem_balance
0.000STEEM
STEEM POWER
Own SP
64.909SP
Delegated Out
0.000SP
Delegation In
0.000SP
Effective Power
64.909SP
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
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  "sbd_balance": "0.000 SBD",
  "savings_sbd_balance": "0.000 SBD",
  "reward_sbd_balance": "0.000 SBD",
  "conversions": []
}

Account Info

nameai20
id115470
rank28,841
reputation5920466
created2016-12-03T23:32:57
recovery_accountsteem
proxyNone
post_count1
comment_count0
lifetime_vote_count0
witnesses_voted_for0
last_post2017-09-01T11:18:15
last_root_post2017-09-01T11:18:15
last_vote_time1970-01-01T00:00:00
proxied_vsf_votes0, 0, 0, 0
can_vote1
voting_power10,000
delayed_votes0
balance0.000 STEEM
savings_balance0.000 STEEM
sbd_balance0.000 SBD
savings_sbd_balance0.000 SBD
vesting_shares105558.706943 VESTS
delegated_vesting_shares0.000000 VESTS
received_vesting_shares0.000000 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
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  "last_root_post": "2017-09-01T11:18:15",
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  "lifetime_vote_count": 0,
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  "mined": false,
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  "next_vesting_withdrawal": "1969-12-31T23:59:59",
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  "pending_claimed_accounts": 0,
  "post_bandwidth": 0,
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  "received_vesting_shares": "0.000000 VESTS",
  "recovery_account": "steem",
  "reputation": 5920466,
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  "reward_sbd_balance": "0.000 SBD",
  "reward_steem_balance": "0.000 STEEM",
  "reward_vesting_balance": "0.000000 VESTS",
  "reward_vesting_steem": "0.000 STEEM",
  "savings_balance": "0.000 STEEM",
  "savings_sbd_balance": "0.000 SBD",
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Withdraw Routes

IncomingOutgoing
Empty
Empty
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From Date
To Date
2019/12/04 00:24:18
authorsteemitboard
bodyCongratulations @ai20! You received a personal award! <table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@ai20/birthday3.png</td><td>Happy Birthday! - You are on the Steem blockchain for 3 years!</td></tr></table> <sub>_You can view [your badges on your Steem Board](https://steemitboard.com/@ai20) and compare to others on the [Steem Ranking](https://steemitboard.com/ranking/index.php?name=ai20)_</sub> ###### [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!
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parent permlink5-tips-to-learn-machine-learning-for-developers-and-beginners
permlinksteemitboard-notify-ai20-20191204t002417000z
title
Transaction InfoBlock #38727884/Trx 6343a5ac128355a8cc6f84a112c4e882f5daa3a8
View Raw JSON Data
{
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      "author": "steemitboard",
      "body": "Congratulations @ai20! You received a personal award!\n\n<table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@ai20/birthday3.png</td><td>Happy Birthday! - You are on the Steem blockchain for 3 years!</td></tr></table>\n\n<sub>_You can view [your badges on your Steem Board](https://steemitboard.com/@ai20) and compare to others on the [Steem Ranking](https://steemitboard.com/ranking/index.php?name=ai20)_</sub>\n\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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2018/12/04 00:36:42
authorsteemitboard
bodyCongratulations @ai20! You received a personal award! <table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@ai20/birthday2.png</td><td>2 Years on Steemit</td></tr></table> <sub>_[Click here to view your Board of Honor](https://steemitboard.com/@ai20)_</sub> **Do not miss the last post from @steemitboard:** <table><tr><td><a href="https://steemit.com/steemitboard/@steemitboard/5jrq2c-steemitboard-saint-nicholas-day"><img src="https://steemitimages.com/64x128/http://i.cubeupload.com/mGo2Zd.png"></a></td><td><a href="https://steemit.com/steemitboard/@steemitboard/5jrq2c-steemitboard-saint-nicholas-day">Saint Nicholas challenge for good boys and girls</a></td></tr></table> > Support [SteemitBoard's project](https://steemit.com/@steemitboard)! **[Vote for its witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1)** and **get one more award**!
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parent permlink5-tips-to-learn-machine-learning-for-developers-and-beginners
permlinksteemitboard-notify-ai20-20181204t003641000z
title
Transaction InfoBlock #28253997/Trx 9bc95b1a789fae0f673992a0eea13bc33c0a450c
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      "author": "steemitboard",
      "body": "Congratulations @ai20! You received a personal award!\n\n<table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@ai20/birthday2.png</td><td>2 Years on Steemit</td></tr></table>\n\n<sub>_[Click here to view your Board of Honor](https://steemitboard.com/@ai20)_</sub>\n\n\n**Do not miss the last post from @steemitboard:**\n<table><tr><td><a href=\"https://steemit.com/steemitboard/@steemitboard/5jrq2c-steemitboard-saint-nicholas-day\"><img src=\"https://steemitimages.com/64x128/http://i.cubeupload.com/mGo2Zd.png\"></a></td><td><a href=\"https://steemit.com/steemitboard/@steemitboard/5jrq2c-steemitboard-saint-nicholas-day\">Saint Nicholas challenge for good boys and girls</a></td></tr></table>\n\n> Support [SteemitBoard's project](https://steemit.com/@steemitboard)! **[Vote for its witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1)** and **get one more award**!",
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smitopblockchain operation: transfer from savings
2018/08/01 17:59:42
amount0.001 SBD
fromsmitop
memoHi, it looks like you're not voting for any witnesses. Witnesses help secure the Steem network. You should vote for some, at https://steemit.com/~witnesses, or by pressing 'Vote for witnesses' in the Steemit sidebar (top right corner). I'm a bot.
request id12831
toai20
Transaction InfoBlock #24692649/Trx a8c0589a0e392f918a8d90551619f9ecb8c39c30
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      "memo": "Hi, it looks like you're not voting for any witnesses. Witnesses help secure the Steem network. You should vote for some, at https://steemit.com/~witnesses, or by pressing 'Vote for witnesses' in the Steemit sidebar (top right corner). I'm a bot.",
      "request_id": 12831,
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smitopblockchain operation: transfer from savings
2018/08/01 17:58:00
amount0.001 SBD
fromsmitop
memoHi, it looks like you're not voting for any witnesses. Witnesses help secure the Steem network. You should vote for some, at https://steemit.com/~witnesses, or by pressing 'Vote for witnesses' in the Steemit sidebar (top right corner). I'm a bot.
request id12833
toai20
Transaction InfoBlock #24692615/Trx e75f6cccff986c0bf05d0bd1fac4198669bd04f5
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      "request_id": 12833,
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2017/12/05 14:29:33
authorsteemitboard
bodyCongratulations @ai20! You have received a personal award! [![](https://steemitimages.com/70x70/http://steemitboard.com/@ai20/birthday1.png)](http://steemitboard.com/@ai20) Happy Birthday - 1 Year on Steemit Happy Birthday - 1 Year on Steemit Click on the badge to view your own Board of Honor on SteemitBoard. > By upvoting this notification, you can help all Steemit users. Learn how [here](https://steemit.com/steemitboard/@steemitboard/http-i-cubeupload-com-7ciqeo-png)!
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permlinksteemitboard-notify-ai20-20171205t142933000z
title
Transaction InfoBlock #17821671/Trx ebe6003d7968e5e784456e98a68af45424741a80
View Raw JSON Data
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  "op": [
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    {
      "author": "steemitboard",
      "body": "Congratulations @ai20! You have received a personal award!\n\n[![](https://steemitimages.com/70x70/http://steemitboard.com/@ai20/birthday1.png)](http://steemitboard.com/@ai20)  Happy Birthday - 1 Year on Steemit Happy Birthday - 1 Year on Steemit\nClick on the badge to view your own Board of Honor on SteemitBoard.\n\n> By upvoting this notification, you can help all Steemit users. Learn how [here](https://steemit.com/steemitboard/@steemitboard/http-i-cubeupload-com-7ciqeo-png)!",
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2017/09/01 11:26:39
authorai20
permlink5-tips-to-learn-machine-learning-for-developers-and-beginners
votermakaroni123
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2017/09/01 11:25:03
authorai20
permlink5-tips-to-learn-machine-learning-for-developers-and-beginners
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2017/09/01 11:19:33
authorai20
bodyWe live in a world in which AI, artificial intelligence, is constantly in the media to describe the future technologies that will affect our everyday life. Machine learning algorithms are most of the time at the core of an AI system and many developers and computer science practitioners want to understand this subject. Clearly, to learn machine learning algorithms and understand how to use them, many resources are available. Just to cite a few: -Intro to Machine Learning by A. Ng, video course (available at coursera http://bit.ly/1IXp8Lg and youtube) -Machine Learning by J. W. Paisley, video course (available at edX http://bit.ly/2s3pjmG) -Machine Learning A-Z™ by K. Eremenko, video course on Udemy (http://bit.ly/2s33KTx) -Machine Learning for Hackers by D. Conway and J. M. White, book R language (http://amzn.to/2t2Plv2) -Machine Learning from for the Web by A. Isoni, book Python language (http://amzn.to/2sLsgKw) -Machine Learning with Python by S. Raschka, book Python language (http://amzn.to/2rJTSi3) All the material listed above will give an excellent grasp on how to use machine learning algorithms in real scenarios and on the theory behind. I will suggest to dive into the content bearing in mind the following tips: 1. Choose a programming language and stick with it. At the moment (2017), the most used languages among data scientist professionals are R or Python. Both have great machine learning libraries, up to you. 2. Don't follow the hype, understand the basics. Machine learning is a rich field and it is tempting to jump directly to 'deep learning' or 'neuron networks'. However, you need to understand the basics to make sense of these advanced topics. 3. Focus on understanding the process not the specific algorithm. The number of details of each algorithm can be overwhelming but the essential part is to understand flow: how to go from taking a rough dataset to making predictions using different algorithms. 4. Spend 60% of the time on code, 40% on theory. Understanding the theory is important but put it in practice yourself is even more important. 5. Be aware of different prospectives. There are often different ways to see the same data and, as a consequence, the algorithms. Find different explanations for the same algorithm and try to find different interpretations for the data structure.
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2017/09/01 11:18:15
authorai20
bodyWe live in a world in which AI, artificial intelligence, is constantly in the media to describe the future technologies that will affect our everyday life. Machine learning algorithms are most of the time at the core of an AI system and many developers and computer science practitioners want to understand this subject. Clearly, to learn machine learning algorithms and understand how to use them, many resources are available. Just to cite a few: -Intro to Machine Learning by A. Ng, video course (available at coursera http://bit.ly/1IXp8Lg and youtube) -Machine Learning by J. W. Paisley, video course (available at edX http://bit.ly/2s3pjmG) -Machine Learning A-Z™ by K. Eremenko, video course on Udemy (http://bit.ly/2s33KTx) -Machine Learning for Hackers by D. Conway and J. M. White, book R language (http://amzn.to/2t2Plv2) -Machine Learning from for the Web by A. Isoni, book Python language (http://amzn.to/2sLsgKw) -Machine Learning with Python by S. Raschka, book Python language (http://amzn.to/2rJTSi3) All the material listed above will give an excellent grasp on how to use machine learning algorithms in real scenarios and on the theory behind. I will suggest to dive into the content bearing in mind the following tips: 1. Choose a programming language and stick with it. At the moment (2017), the most used languages among data scientist professionals are R or Python. Both have great machine learning libraries, up to you. 2. Don't follow the hype, understand the basics. Machine learning is a rich field and it is tempting to jump directly to 'deep learning' or 'neuron networks'. However, you need to understand the basics to make sense of these advanced topics. 3. Focus on understanding the process not the specific algorithm. The number of details of each algorithm can be overwhelming but the essential part is to understand flow: how to go from taking a rough dataset to making predictions using different algorithms. 4. Spend 60% of the time on code, 40% on theory. Understanding the theory is important but put it in practice yourself is even more important. 5. Be aware of different prospectives. There are often different ways to see the same data and, as a consequence, the algorithms. Find different explanations for the same algorithm and try to find different interpretations for the data structure.
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      "body": "We live in a world in which AI, artificial intelligence, is constantly in the media to \ndescribe the future technologies that will affect our everyday life. Machine learning algorithms are most of the time at the core of an AI system and many developers and computer science practitioners want to understand this subject. \nClearly, to learn machine learning algorithms and understand how to use them, many resources are available.\nJust to cite a few: \n-Intro to Machine Learning by A. Ng, video course (available at coursera http://bit.ly/1IXp8Lg and youtube)\n-Machine Learning by J. W. Paisley, video course (available at edX http://bit.ly/2s3pjmG)\n-Machine Learning A-Z™ by K. Eremenko, video course on Udemy (http://bit.ly/2s33KTx)\n-Machine Learning for Hackers by D. Conway and J. M. White, book  R language (http://amzn.to/2t2Plv2)\n-Machine Learning from for the Web by A. Isoni, book Python language (http://amzn.to/2sLsgKw)\n-Machine Learning with Python by S. Raschka, book Python language  (http://amzn.to/2rJTSi3)\n\nAll the material listed above will give an excellent grasp on how to use machine learning algorithms in real scenarios and on the theory behind.  \n\nI will suggest to dive into the content bearing in mind the following tips:\n\n1. Choose a programming language and stick with it. At the moment (2017), the most used languages among data scientist professionals are R or Python. Both have great machine learning libraries, up to you.\n\n2. Don't follow the hype, understand the basics. Machine learning is a rich field and it is tempting to jump directly to 'deep learning' or 'neuron networks'. However, you need to understand the basics to make sense of these advanced topics.\n\n3. Focus on understanding the process not the specific algorithm. The number of details of each algorithm can be overwhelming but the essential part is to understand flow: how to go from taking a rough dataset to making predictions using different algorithms.\n\n4. Spend 60% of the time on code, 40% on theory. Understanding the theory is important but put it in practice yourself is even more important.\n\n5. Be aware of different prospectives. There are often different ways to see the same data and, as a consequence, the  algorithms. Find different explanations for the same algorithm and try to find different interpretations for the data structure.",
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