Stat 4 ∀
رفتن به کانال در Telegram
effectively and efficiently support data collection,organization,presentation, and Analysis. Provide input and analyses for multi- focused research project(s). Works under the general direction of a Principal Investigator or with other.
نمایش بیشتر318
مشترکین
اطلاعاتی وجود ندارد24 ساعت
+57 روز
+3630 روز
در حال بارگیری داده...
کانالهای مشابه
ابر برچسبها
هیچ دادهای
مشکلی وجود دارد؟ لطفاً صفحه را تازه کنید یا با مدیر پشتیبانی ما تماس بگیرید.
اشارات ورودی و خروجی
---
---
---
---
---
---
جذب مشترکین
دسامبر '24
دسامبر '24
+24
در 0 کانالها
نوامبر '24
+61
در 0 کانالها
Get PRO
اکتبر '24
+41
در 0 کانالها
Get PRO
سپتامبر '24
+25
در 0 کانالها
Get PRO
اوت '24
+72
در 0 کانالها
Get PRO
ژوئیه '24
+102
در 0 کانالها
Get PRO
ژوئن '24
+7
در 0 کانالها
Get PRO
مه '24
+9
در 0 کانالها
Get PRO
آوریل '24
+2
در 0 کانالها
Get PRO
مارس '24
+25
در 0 کانالها
Get PRO
فوریه '24
+61
در 0 کانالها
Get PRO
ژانویه '24
+28
در 0 کانالها
Get PRO
دسامبر '23
+18
در 0 کانالها
Get PRO
نوامبر '23
+22
در 0 کانالها
Get PRO
اکتبر '23
+221
در 0 کانالها
| تاریخ | رشد مشترکین | اشارات | کانالها | |
| 21 دسامبر | 0 | |||
| 20 دسامبر | 0 | |||
| 19 دسامبر | +6 | |||
| 18 دسامبر | 0 | |||
| 17 دسامبر | +1 | |||
| 16 دسامبر | +1 | |||
| 15 دسامبر | +2 | |||
| 14 دسامبر | 0 | |||
| 13 دسامبر | 0 | |||
| 12 دسامبر | 0 | |||
| 11 دسامبر | 0 | |||
| 10 دسامبر | +1 | |||
| 09 دسامبر | 0 | |||
| 08 دسامبر | +9 | |||
| 07 دسامبر | 0 | |||
| 06 دسامبر | +1 | |||
| 05 دسامبر | 0 | |||
| 04 دسامبر | 0 | |||
| 03 دسامبر | +1 | |||
| 02 دسامبر | +1 | |||
| 01 دسامبر | +1 |
پستهای کانال
| 2 |  بدون متن... | 117 |
| 3 | Good news for Ethiopian statistics graduate students
Congratulations in advance. As it continues, we are happy to inform you that Stat 4 ∀ tutorial is going to be provided to help you for preparation of exit exam. So, dear graduates, all that is expected from you is share the link address of Stat 4 ∀ to make this channel accessible by others. We will inform you about the tutorial registration form soon.
Regards,
Stat 4 ∀ Research Consultancy Group | 141 |
| 4 | Why not D question number 2? | 127 |
| 5 |  CamScanner 05-18-2024 07.47 | 130 |
| 6 | https://vm.tiktok.com/ZMM32mAF2/ | 121 |
| 7 | Google heavily relies on statistics in various aspects of its operations, including:
1. *Search algorithm*: Google's search algorithm uses statistical models to rank websites based on relevance, popularity, and user behavior.
2. *Ad targeting*: Google Ads uses statistical techniques to target ads to specific audiences based on demographics, interests, and behavior.
3. *Recommendation systems*: Google's recommendation systems, such as those used in Google Play and YouTube, rely on statistical models to suggest content based on user behavior and preferences.
4. *Data analysis*: Google Analytics uses statistical methods to help website owners understand user behavior, track engagement, and measure conversion rates.
5. *Machine learning*: Google's machine learning algorithms, such as those used in Google Cloud AI Platform, rely heavily on statistical techniques to train and evaluate models.
6. *Quality control*: Google uses statistical process control to monitor and improve the quality of its services, such as detecting anomalies and predicting user satisfaction.
7. *A/B testing*: Google uses statistical methods to conduct A/B testing, experimenting with different versions of services to determine which ones perform better.
8. *User behavior research*: Google conducts statistical research to understand user behavior, preferences, and needs, informing product development and design decisions.
9. *Network optimization*: Google uses statistical models to optimize network performance, predicting and managing traffic, latency, and throughput.
10. *Security*: Google's security systems use statistical techniques to detect and prevent fraud, spam, and other malicious activities.
By applying statistical methods, Google can make informed decisions, improve services, and drive innovation.
Source: House of Statistics | 138 |
| 8 |  بدون متن... | 178 |
| 9 | 📌📄Logistic regression is a type of statistical model used to analyze the relationship between a binary outcome variable (such as yes/no or true/false) and one or more predictor variables. 🔗Free pdf: https://pyoflife.com/logistic-regression-with-r-pdf/ | 173 |
| 10 |  بدون متن... | 135 |
| 11 | https://vm.tiktok.com/ZMM7dSFPw/ | 132 |
| 12 | https://vm.tiktok.com/ZMM71j2n6/ | 127 |
| 13 | https://youtu.be/xW_czJWIDH8?si=EOP3_pWdgvtm1CNC | 130 |
| 14 |  بدون متن... | 141 |
| 15 |  بدون متن... | 145 |
| 16 | 📌📕Applied GLMs and Multilevel Models transcend the limitations of multiple linear regression, offering superior predictive accuracy. 🔗Learn for free: https://pyoflife.com/beyond-multiple-linear-regression/
Source:Big data,Data Science, Data Mining and Statistics | 132 |
| 17 |  بدون متن... | 112 |
| 18 | D | 128 |
| 19 |  بدون متن... | 136 |
| 20 |  بدون متن... | 132 |
