
Hameed Khamis
@hameed_khamis• May 9, 2022
هرمش - تعلم الخوارزميات للمبتدئين
الخوارزميات هي الجزء الأصعب في البرمجة و عندما تتعلمها بشكل صحيح فهذا يعني أنك قادر أن تتعلم أي لغة برمجة تريدها لأنه في الواقع إذا لم تعرف كيف تتعامل مع الكود و تعالج جميع المشاكل التي تواجهك أثناء كتابة الكود فإنك ستستسلم و تتوقف في مكانك عند أول مشكلة تافهة تظهر لك في الكود و تكون بذلك قد أضعت وقتك لأنك لا تعرف كيف يجب أن تحل المشكلة التي تتعامل معها, إذاً عندما تنتهي من تحليل برنامجك يمكنك كتابته بأي لغة برمجة تريدها بكل سهولة.
هرمش - تعلم الخوارزميات للمبتدئينharmash.com

Hameed Khamis
@hameed_khamis• May 6, 2022
هرمش - تحميل و تثبيت أدوات جافا
javac
JVM
هرمش - تحميل و تثبيت أدوات جافاharmash.com

Hameed Khamis
@hameed_khamis• Apr 30, 2022
Excel Basics | Excel Practice Online
A really quick intro to Excel
Excel Basics | Excel Practice Onlineexcel-practice-online.com

Hameed Khamis
@hameed_khamis• Apr 30, 2022
حكم عن التعليم - موضوع
رأسمالك علمك وعدوك هو جهلك.
حكم عن التعليم - موضوعmawdoo3.com

Hameed Khamis
@hameed_khamis• Mar 31, 2022
Data Preprocessing in Machine learning - Javatpoint
Data preprocessing is a process of preparing the raw data and making it suitable for a machine learning model. It is the first and crucial step while creating a machine learning model.
Why do we need Data Preprocessing?
Data Preprocessing in Machine learning - Javatpointwww.javatpoint.com

Hameed Khamis
@hameed_khamis• Mar 31, 2022
Cross Validation and HyperParameter Tuning in Python | by saranya Mandava | Medium
Cross validation is a technique used to identify how well our model performed and there is always a need to test the accuracy of our model to verify that, our model is well trained with data without any overfitting and underfitting. This process of validation is performed only after training the model with data.
OverfittingIn statistics, overfitting means our model fits too closely to our data. The fitted line will go exactly through every point in the graph and this may fail to make predictions on future data reliably.
Hyperparameter TuningHyperparameters are hugely important in getting good performance with models. In order to understand this process, we first need to understand the difference between a model parameter and a model hyperparameter.Model parameters are internal to the model whose values can be estimated from the data and we are often trying to estimate them as best as possible . whereas hyperparameters are external to our model and cannot be directly learned from the regular training process. These parameters express “higher-level” properties of the model such as its complexity or how fast it should learn. Hyperparameters are model-specific properties that are ‘fixed’ before you even train and test your model on data.The process for finding the right hyperparameters is still somewhat of a dark art, and it currently involves either random search or grid search across Cartesian products of sets of hyperparameters.
Cross Validation and HyperParameter Tuning in Python | by saranya Mandava | Mediummedium.com

Hameed Khamis
@hameed_khamis• Mar 31, 2022
deployment - Google Search
Software deploymentDescriptionSoftware deployment is all of the activities that make a software system available for use.
deployment - Google Searchwww.google.com

Hameed Khamis
@hameed_khamis• Mar 25, 2022
ما هي حوسبة السحابة؟ - Learn | Microsoft Docs
لماذا عادةً ما يكون استخدام حوسبة السحابة أرخص؟
ما هي حوسبة السحابة؟ - Learn | Microsoft Docsdocs.microsoft.com

Hameed Khamis
@hameed_khamis• Mar 25, 2022
مقدمة - Learn | Microsoft Docs
Azure
مقدمة - Learn | Microsoft Docsdocs.microsoft.com

Hameed Khamis
@hameed_khamis• Mar 23, 2022
Variables | Sololearn
char stands for character and holds a single character.
Boolean
You can use a comma-separated list to declare more than one variable of the specified type.
Variables | SoloLearnwww.sololearn.com