@joesoefem_grosir: Guru Tagih Janji Presiden #guru #pgmm #gurumadrasah #presiden #kemenag

JOESOEF EM
JOESOEF EM
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Region: ID
Monday 29 June 2026 02:54:31 GMT
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sumarningsumarni8
ummy ninin :
semoga cepet ingat janjinya ya allah ya robbi
2026-06-29 10:38:06
58
khudhifah
khudhifah :
Semoga guru2 honorer cepet diangkat pns / p3k
2026-06-29 12:30:52
32
y4n4203
Y4N4 :
Semoga sampai ke telinga pak prabowo
2026-06-29 12:33:34
32
bunda29800
MARLINA 2980 :
semangat buat pejuang guru🙏👍💪
2026-06-29 08:30:12
43
deffisurya123
Defi Suriyaningsih :
pak saya honor dr 2016 sampai skrg blm bisa masuk dapodik 😭 pdhl udah punya serdik pph prajab knp masih susah buat masuk dapodik. dr gaji 65k per bln sampai skrg 400k. tolong dimudahkan.
2026-06-29 13:17:15
12
salmontappang
Salmon Tappang :
Selamat berjuang rekan rekan kami. kami hanya bisa berdoa dari pedalaman.🙏🙏🙏
2026-06-29 09:56:23
21
nenengaulia45
bunda neng :
masih ingat donk dan suka bangettt dengan janji nya maka nya ku pilih ...tapi sekarang sumpah banget sumpah banget semoga di mkn sumpah nya .
2026-06-30 00:45:28
1
titinsupartini765
Titin :
Tetap semangat para pendidik anak Bangsa
2026-06-29 10:03:28
14
nanik.s6
Nanik S :
pikirin para guru honorer bapak,saya sdh merasakan jadi guru honorer
2026-06-29 09:44:11
12
agymanis2
Agy Manis 💝💖 :
Kereeeen broooo👍👍👍Lirik lagunya faktaaa bangeeet 💪💪💪
2026-06-29 09:33:50
7
isnaenimartiyah
15n43n1 :
semangat para guru sukses🤲🤲🤲👍
2026-06-29 10:05:29
8
komar.uden2
Komar Uden :
saya jadi guru TPQ juga nggak di bayar sama sekali.....
2026-06-29 10:10:53
11
junaedioke809
junaedioke809 :
atrimksh syair nya betul2 menyentuh mewakili para guru betul2 hebat keren banget hidup guru hidup pgri
2026-06-29 12:20:14
7
dawdewdiw666
dewimulyawati66 :
Semoga ASN ,pensiunan nsik gajih 2027
2026-06-29 11:29:04
14
neli.eryanti
Neli Eryanti :
tlong lah kami para guru" honorer jgn cuma dikasih janji" keburu kami pensiun 😭
2026-06-29 10:38:49
6
suparti.handayani8
Suparti Handayani :
hadir saya sebagai guru paud gajinya cuma 300 ribu selama 19 tahun ... daripada MBG mending buat kami guru paud
2026-06-29 12:11:54
9
ratubilqiscamti
RATUBILCAM :
hadir guru Indonesia semangat perjuangkan hak guru dan janji preseden mama buktikan kami perlu buktikan jgn mbg aja yg di perhatilan semoga terbukti gajih guru naik 100% saya guru mendukung perhatikan pak presiden kami guru mengajar dwngan iklas
2026-06-29 11:54:14
8
nurlinah97
nurlinah01 :
kenaikan pangkat juga terlalu dipersulit karena harus ikut dlu ujikom dan beberapa syarat lainnya akhirnya sudah 5 tahun lebih bahkan sampai pensiun gol' nya itu2 aja klu tdk lolos ujiom😳
2026-06-29 09:13:34
10
fotobagus468
bu Rusnaini :
smg pk wowo smg di dengar
2026-06-29 16:00:15
1
user1984248861203
erna :
sehat selalu para guru guru pelukis masa depan
2026-06-29 15:28:29
2
momieeeeca877
momiiecaa#🥸🥸 :
Jgan cuma guru di sekolah ada tenaga pendidik sma penjaga sekolah
2026-06-29 14:16:56
1
entin_kartiniiii
ENTIN KARTINI :
melamat berjuang pada guru🙏
2026-06-29 22:36:33
1
patmah4711
patmah :
semoga yg dduk dpr sama presidin bisa bisa dengar dn bisa makmur kn gjih gura mantaap saya juga guru
2026-06-29 14:25:31
1
twinscintacantika
twins cinta cantika :
sy ngajar dari th 2012 tapi alhamdulillah th 2025 kemaren sudah sertifikasi
2026-06-29 14:10:15
1
cikgu_rh
Rhhh_ :
tks bapak dan ibu sudah mewakili kami, sehat2 ya kalian🥰
2026-06-29 10:53:10
1
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Other Videos

Location Parameter Implementation in Python Understanding the fundamental concept of location parameters in machine learning through practical Python implementations. From basic statistical measures to advanced applications in clustering and anomaly detection. Transform your data analysis skills and explore essential statistical concepts for data science. Find for free, this and all others slideshow on the xbe.at website. #python #datascience #statistics #stem #coding #machinelearning #computerscience #Tech #programming #data Key points to strengthen your understanding of Location Parameters: 1. Practice with different distributions. Work with various probability distributions and observe how location parameters behave differently. Document your observations and create visual comparisons to build intuition. 2. Implement from scratch. While libraries are convenient, try coding basic location parameter estimators from scratch. This deepens your understanding of the underlying mathematics and statistical concepts. 3. Validate assumptions. Location parameters behave differently under different conditions. Always check your data distribution, verify outliers, and understand the implications of your chosen estimator. 4. Experiment with real datasets. Theory comes alive with practical applications. Try working with various types of real-world data to see how location parameters manifest in different domains. 5. Build visual intuition. Create plots and animations to visualize how location parameters affect distributions. Visual understanding often leads to deeper insights than formulas alone. 6. Cross-validate results. Compare different methods of estimating location parameters and understand their trade-offs. Use statistical tests to validate your findings. 7. Document edge cases. Keep track of situations where traditional location parameter estimates might fail or need modification. This builds a valuable reference for future projects.
Location Parameter Implementation in Python Understanding the fundamental concept of location parameters in machine learning through practical Python implementations. From basic statistical measures to advanced applications in clustering and anomaly detection. Transform your data analysis skills and explore essential statistical concepts for data science. Find for free, this and all others slideshow on the xbe.at website. #python #datascience #statistics #stem #coding #machinelearning #computerscience #Tech #programming #data Key points to strengthen your understanding of Location Parameters: 1. Practice with different distributions. Work with various probability distributions and observe how location parameters behave differently. Document your observations and create visual comparisons to build intuition. 2. Implement from scratch. While libraries are convenient, try coding basic location parameter estimators from scratch. This deepens your understanding of the underlying mathematics and statistical concepts. 3. Validate assumptions. Location parameters behave differently under different conditions. Always check your data distribution, verify outliers, and understand the implications of your chosen estimator. 4. Experiment with real datasets. Theory comes alive with practical applications. Try working with various types of real-world data to see how location parameters manifest in different domains. 5. Build visual intuition. Create plots and animations to visualize how location parameters affect distributions. Visual understanding often leads to deeper insights than formulas alone. 6. Cross-validate results. Compare different methods of estimating location parameters and understand their trade-offs. Use statistical tests to validate your findings. 7. Document edge cases. Keep track of situations where traditional location parameter estimates might fail or need modification. This builds a valuable reference for future projects.

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