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Saved by @ankitsrihbti

I recently switched what I spend the majority of my professional life doing: history -> software engineering. I'm currently working as an ML Engineer @zenml_io and really enjoying this new world of #MLOps, filled as it is with challenges and opportunities.

 I wanted to get some context for the wider work of a data scientist to help me appreciate the problem we are trying to address @zenml_io, so looked around for a juicy machine learning problem to work on as a longer project.
I was also encouraged by @jeremyphoward's advice to "build one project and make it great" (https://t.co/Doo88EUhkN). This approach seems like it has really paid off for those who've studied the @fastdotai course and I wanted to really go deep on something myself.
Following some previous success working with @adyantalamadhya and another mentor via @SharpestMindsAI on a previous project, I settled on computer vision and was lucky to find @ai_fast_track to mentor me through the work. (We meet a couple of times per week).
In the last 6 weeks, I've made what feels like good progress on the problem. This image offers an overview of the pieces I've been working on, to the point where the 'solution' to my original problem feels on the verge of being practically within reach.
After just a few lessons of the @fastai course, I trained a classification model to ~95% accuracy to help me sort redacted images from unredacted images.
https://t.co/E0WY4xYnlZ
I used @explosion_ai's Prodigy tool to annotate an initial round of data to pass into the next step, enjoying how the labelling process brought me into greater contact with the dataset along the way.
https://t.co/bNd9mx7FHv
I switched to using IceVision (co-created by @ai_fast_track) to help me with the more complicated object detection problem, using MMDetection and VFNet to get pretty good results early on.
https://t.co/EZ3cdkF8I8
I'm currently in the process of creating my own synthetic images to boost the annotations I've manually made. (I'll be writing about this process soon as well, as I'm learning a lot about why this is so important for these kinds of computer vision problems.)
I've also been amazed at the effectiveness of self-training (i.e. using my initial model in my annotation loop to generate an initial set of annotations which I can easily amend as appropriate, then feeding those annotations in to create a better model etc). More to follow...
I started using @EvidentlyAI to do drift detection, inspired by work I was doing for @zenml_io to add it as an integration. This helped me think about how new data was affecting the model and the training cycle. There's a lot of depth here, and am looking forward to diving in.
I made a tiny little demo on @huggingface Spaces to show off the current inference capabilities. This is a simple @Gradio app but I liked how easy this was to put together (a couple of hours, mainly involving some build issues and a dodgy `requirements.txt` file)
Along the way, I found it sometimes quite painful or fiddly to handle the PDF files that are the main data source for the project, so I built my own Python package to handle the hard work. https://t.co/bghhYDgKOz
I used @fastdotai's nbdev to very quickly get the starters of what I'm hoping might be a useful tool for others using PDF data for ML projects.
https://t.co/aZaTgOUu33
Throughout all this, @ai_fast_track has been patiently helping guide me forward. He saved me from going down some dark rabbit holes, from spending too long studying skills and parts of the problem that needed relatively little mastery in order to get to where I am.
Farid (@ai_fast_track) has been a consistently enthusiastic and kind advocate for my work, moreover, and this has really helped me stay the course for this project that takes a decent chunk of my time (esp seeing as I do it completely aside / separately from my day job).
I feel like I'm consistently making progress and learning the skills of someone working in computer vision, even though I have so much left to learn! My project still has a ways to go before it's 'done', but I'm confident that I'll get there with @ai_fast_track's support. /end
(Reposted this in an ever-so-slightly expanded form on the blog -- https://t.co/2d8rQWn3E7 -- for those who prefer to save things like this to @instapaper or @Pocket)

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• I have curated some of the best tweets from the best traders we know of.

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• Go through this for super learning/value totally free of cost! 😃

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Thrikkangode Sree Randu Moorthy Temple
Ottappalam, Kerala. 🚩
#keralatemples

This is very unique temple as Shiva and Vishnu both are in the “linga” form in the same Garbhagriham. The Srikovil is in a circular pattern. Temple's Prathishta was done by Parasurama.


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The root of the banyan tree around the Ayyappa Sannidhanam is said to have great powers for skin ailments.

Very ancient temple but was covered with forest for many years.
Later two persons Chakki and Chaathan, while cutting trees their axe hit on the nearby
@SriramKannan77


Vigrahams and it suddenly started bleeding. Later Devaprashnam was held and thus found out that these were murthy's of Shiva and Vishnu which was worshipped long back. And thus temple is constructed here.
Om Namah Sivaye
Om Namo Narayanaya
🕉🙏🕉
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Kolaru Pathigam-Thevaram hymn composed by ThiruGnana Sambandar- #Thread

In Tamil Kol means planets,Aru means cut- set of songs in Kolaru Pathigam addresses all Navagrahas& last 2 lines of every song with end a plea to Bhagwan Shiva to reduce/erase the ill effects of Navagrahas


கோளறு பதிகம் - This pathigam was sung by Thirugnana Sambandar at Thirumaraikadu Kshetram -Vedaranyam,Tamilnadu

Thirugnana Sambandar & Appar(Thirunavukkarasar) travelled together to various Shiva Alayam to spread shivam & bhakti among people.They both reached Thirumaraikadu.


Thirumaraikadu(Vedaranyam) -
Appar & Sambandar were asked to enter the temple through side entrance.The main door was locked by Vedas many years ago.Appar&Sambandar sang devotional hymns praising Shiva, after which the gates opened & closed.After which main door opened for all.


After darshan of Bhagwan Shiva at Thirumaraikkadu,Sambandar received a message to travel to Madurai.
During that time, Samanam was on the rise in the Pandya Kingdom.The Pandya King converted to Samanam.The Queen Mangaiyarkkarasi was a staunch Shiva devotee and was upset.

Kularchirai Nayanar ,Chief Minister of Pandya kingdom was in agony by the turn of events.Queen requested Kulachirai Nayanar to escort Thiru gnana Sambandar to Madurai.Kularchirai Nayanar met Thiru gnana Sambandar at Thirumaraikkadu & requested him to visit Madurai.
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@TomthunkitsMind @buzz\_chronicles @buzz\\\_chronicles @buzz_chronicles save as category @pdfmakerapp grab @pdfmakerapp grab this @readwiseio save @readwiseio save thread @threader compile summarize @Threadreaderapp unroll please @ttttreads unroll @unrollthread.com @SaveToBookmarks
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TYPES OF SINS(PAAP) AS PER SKAND PURAN.

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C)Thinking of doing a forbidden or unworthy deed.

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B)Telling a lie.

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A)Eating food not prescribed to you or forbidden.

B)Violence.

C)Eating fancier food.

D)Acquiring other's wealth.

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Vशुद्धि...
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क्या आप जानते हैं कि क्या है, पितृ पक्ष में कौवे को खाना देने के पीछे का वैज्ञानिक कारण!

श्राद्ध पक्ष में कौओं का बड़ा ही महत्व है। कहते है कौआ यम का प्रतीक है, यदि आपके हाथों दिया गया भोजन ग्रहण कर ले, तो ऐसा माना जाता है कि पितरों की कृपा आपके ऊपर है और वे आपसे ख़ुश है।


कुछ लोग कहते हैं की व्यक्ति मरकर सबसे पहले कौवे के रूप में जन्म लेता है और उसे खाना खिलाने से वह भोजन पितरों को मिलता है

शायद हम सबने अपने घर के किसी बड़े बुज़ुर्ग, किसी पंडित या ज्योतिषाचार्य से ये सुना होगा। वे अनगिनत किस्से सुनाएंगे, कहेंगे बड़े बुज़ुर्ग कह गए इसीलिए ऐसा करना

शायद ही हमें कोई इसके पीछे का वैज्ञानिक कारण बता सके।

हमारे ऋषि मुनि और पौराणिक काल में रहने वाले लोग मुर्ख नहीं थे! कभी सोचियेगा कौवों को पितृ पक्ष में खिलाई खीर हमारे पूर्वजों तक कैसे पहुंचेगी?

हमारे ऋषि मुनि विद्वान थे, वे जो बात करते या कहते थे उसके पीछे कोई न कोई वैज्ञानिक कारण छुपा होता था।

एक बहुत रोचक तथ्य है पितृ पक्ष, भादो( भाद्रपद) प्रकृति और काक के बीच।

एक बात जो कह सकते कि हम सब ने स्वतः उग आये पीपल या बरगद का पेड़/ पौधा किसी न किसी दीवार, पुरानी

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ज़रा सोचिये पीपल या बरगद की बीज कैसे पहुंचे होंगे वहाँ तक? इनके बीज इतने हल्के भी नहीं होते के हवा उन्हें उड़ाके ले जा सके।
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@AdityaTodmal
Master Thread of all my threads!

Hello!! 👋

• I have curated some of the best tweets from the best traders we know of.

• Making one master thread and will keep posting all my threads under this.

• Go through this for super learning/value totally free of cost! 😃

1. 7 FREE OPTION TRADING COURSES FOR


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Got these scanners from the following accounts:

1. @Pathik_Trader
2. @sanjufunda
3. @sanstocktrader
4. @SouravSenguptaI
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3. 12 TRADING SETUPS which experts are using.

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1. @Pathik_Trader
2. @sourabhsiso19
3. @ITRADE191
4.


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1. Management
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4. Examples
5. Videos on
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Fidato
Fidato
@tequieremos
A thread on the life and achievements of Muhiyudin Sayyid Abdul Qadir Jillani RadiAllah who served Islam infinitely as the Reviver (Mujadid) of the 11th Century!


Muhiyudin Sayyid Abdul Qadir Jilani (RA) was one of the greatest Islamic Saint, Scholar, and Jurist. The honorific Muhiyudin denotes his status with many Sufis as a "reviver of religion". Jilani refers to his place of birth. He also carried the epithet Baghdadi.

[1]

Sheikh Abdul Qadir Jilani was born on the eve of the 2nd of Ramadan 470 AH. His birth was a great blessing for the Ummah. It was the arrival of the Sultan al-Awliya (King of the Awliya) of that era, which had been foretold for centuries before his birth.

[2]

When Hazrat Abdul Qadir Jillani was asked by someone what brought him to his high spiritual level, he said, The truthfulness which I promised to my mother. He related the following story:
"One day, on the eve of Eid al-Adhā, I went to my mother, who was then a widow and..

[3]

..and requested her, 'Send me to the path of Truth, give me permission to go to Baghdad to acquire knowledge, to be with the wise and those who are close to Allah. She cried, but she brought out 80 pieces of gold, which was all that my father had left as inheritance.

[4]
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