درباره این پادکست 🔗

میزبان‌ها:
فرکانس به روز رسانی:
every 91 days
میانگین طول صدا:
6 minutes
انگلیسی
ایالات متحده آمریکا
22 قسمت
از سال 25 مارس 2021
episodic

آخرین اپیزود 🔗

what is numerical methods? what is the application of numerical methods?

جستجوی اپیزودهای گذشته

اپیزودهای قبلی Talking Statistics را جستجو کن.

اپیزود قبلی

Hi, In this episode, we are discussing about normalization in machine learning. Hope you enjoy! Thanks, DrMNA

History of Statistics

Join us as we explore the fascinating journey of statistics, from its humble beginnings in ancient civilizations to its indispensable role in today’s data-driven world. We’ll trace the evolution of this vital field, highlighting key milestones and the brilliant minds that shaped it.Discover how ea…

Random Forest Classifier

Hi Everybody, In this episode, I am talking about random forest classifier.  Hope you enjoy listening to my podcast. Thanks, DrMNA

Support Vector Machine

Hi Everybody, In this episode, I am talking about Support vector machine. It is one of the machine learning classifier that are popular in this days. Hope you enjoy listening to my podcast. Thanks, DrMNA

What is data sciences?

Hi Everybody! In this episode, I am elaborating about what is data sciences? for those who did not know what is data sciences, hope after listening to my podcast, you are able to understand this brief introduction. Thanks, DrMNA

Law of Large Numbers

Hi, In this episode, I am elaborating about law of large numbers. Hope you enjoy listening. Thanks, DrMNA
In this episode, I am elaborating about the history of statistics. Hope you all enjoy listening to my podcast. Thanks, DrMNA 

11) What is Data Mining?

Salam,  In this episode, I am discussing about the introduction to Data Mining.  What is the data mining, the data mining process, and common approaches in data mining. Hope this helps! Thanks, MNA
Salam and Hi,  In this episode, I am talking about the measure classifier performance. What are the element or statistic that used in measuring the classifier performance? There are Accuracy, Precision, Sensitivity, Specificity and F-Score or F1-Score.  Hope this helps! Thanks, MNA
سلب مسئولیت: پادکست و آثار هنری تعبیه شده در این صفحه متعلق به Mohammad Nasir Abdullah است که متعلق به صاحب آن است و به Listen Notes، Inc وابسته یا تایید نشده است.