من افضل المحاضرات اللي سمعتها بتشرح سبارك , شكرا جزيلا لحضرتك و جزاك الله خيرا 👍👍❤❤

هو لو انا عاوز اوصل للمتريال دى بتاعت pdf منين؟

بالتوفيق دكتور حاتم

بشمهندس ممكن لو السيشن اللايف بتاعة ال implementation العملي مسجلة تبعت اللينك وجزاك الله خيرا @ArtificialIntelligenceDataScie

ما شاء الله رائع جدا شكرا

Timestamps (Powered by Merlin AI) 00:06 - Exploring the connection between matrix row and column representations. 01:57 - Exploring relationships between row and column representations in matrices. 03:56 - Understanding the relationship between row and column representations in matrices. 05:33 - Understanding the relationship between row and column pictures in the Matrix. 07:06 - Exploring the relationship between row and column representations in matrices. 08:30 - Discussing unsolvable systems in matrix equations. 09:25 - Understanding the relationship between row and column matrices. 10:46 - Understanding the interaction between row and column pictures in a matrix.

Timestamps (Powered by Merlin AI) 00:06 - Exploring the connection between matrix row and column representations. 01:57 - Exploring relationships between row and column representations in matrices. 03:56 - Understanding the relationship between row and column representations in matrices. 05:33 - Understanding the relationship between row and column pictures in the Matrix. 07:06 - Exploring the relationship between row and column representations in matrices. 08:30 - Discussing unsolvable systems in matrix equations. 09:25 - Understanding the relationship between row and column matrices. 10:46 - Understanding the interaction between row and column pictures in a matrix.

Timestamps (Powered by Merlin AI) 00:06 - Exploring the connection between matrix row and column representations. 01:57 - Exploring relationships between row and column representations in matrices. 03:56 - Understanding the relationship between row and column representations in matrices. 05:33 - Understanding the relationship between row and column pictures in the Matrix. 07:06 - Exploring the relationship between row and column representations in matrices. 08:30 - Discussing unsolvable systems in matrix equations. 09:25 - Understanding the relationship between row and column matrices. 10:46 - Understanding the interaction between row and column pictures in a matrix.

Timestamps (Powered by Merlin AI) 00:07 - Foundation of key concepts in Linear Algebra for AI and Data Science. 01:54 - Introduction to interconnected concepts in linear algebra for AI and data science. 05:39 - Understanding vector operations in different dimensions. 07:09 - Understanding vector spaces and linear combinations in linear algebra. 11:25 - Understanding linear combinations of vectors in linear algebra. 13:37 - Understanding vector solutions in linear algebra. 18:25 - Understanding vector components and their linear combinations. 20:52 - Understanding vector representation and dependencies in R2. 24:38 - Understanding matrix operations and vector representations in linear algebra. 26:25 - Exploring vector representation in linear algebra. 30:23 - Exploring linear combinations in linear algebra. 32:08 - Discussion on vector multiplication and implications of zero values. 37:52 - Understanding vector relationships in vector spaces and their dimensionality. 40:00 - Introduction to vector representation and coordinates in linear algebra. 44:11 - Exploring infinite solutions in linear equations. 45:54 - Understanding vector representation in multidimensional spaces. 49:08 - Vectors and dimensions determine representational capabilities in linear algebra. 50:42 - Understanding vector components and their representation in linear algebra. 54:01 - Understanding vector representation and linear combinations in linear algebra. 56:28 - Exploring vector spaces and their relationships in linear algebra. 1:00:14 - Exploring vector representations and their implications in linear algebra. 1:01:43 - Discussing vector relationships in linear algebra. 1:05:43 - Exploring vectors and their spans in three-dimensional space. 1:07:21 - Study of vector representation in multidimensional space. 1:11:24 - Exploring complex relationships in linear algebra and transformations. 1:13:26 - Exploring matrix operations and vector calculations in linear algebra. 1:17:43 - Exploring vector combinations and representations in Linear Algebra. 1:19:35 - Exploring linear combinations of vectors in linear algebra. 1:23:11 - Discussion on vector linear combinations and constants. 1:25:00 - Understanding zero implications in matrix operations. 1:29:50 - Understanding vector representation and linear combinations in R2. 1:31:55 - Introduction to Orthogonal Vectors and Their Properties 1:35:54 - Combining vectors to form a new vector representation. 1:37:44 - Understanding vector representation and dependence on basis components. 1:40:54 - Introduction to vector space concepts in AI and data science. 1:43:51 - Exploring transformations and scaling of vectors in image processing. 1:48:25 - Explaining vector transformations and matrix multiplication in linear algebra. 1:50:07 - Understanding linear transformations of vectors using matrices. 1:55:08 - Exploration of vector transformations and their significance in linear algebra. 1:57:18 - Understanding vector multiplication and scalar combinations. 2:00:51 - Understanding vector transformations in R^2 space. 2:02:37 - Transformation processes in vector representation and projection. 2:06:11 - Explaining vector manipulation through linear combinations. 2:07:52 - Understanding vector transformations through basis changes in linear algebra. 2:11:22 - Understanding transformations in linear algebra and their effects on matrices and vectors. 2:12:50 - Understanding transformations in linear algebra through graphical representation. 2:16:54 - Understanding movement and rotation in linear transformations. 2:18:56 - Understanding vector transformations in linear algebra. 2:22:11 - Understanding vector movement and scaling effects in matrix transformations. 2:24:03 - Introduction to vector transformations in linear algebra. 2:27:45 - Exploring vector and matrix multiplication in linear algebra. 2:29:57 - Understanding transformations in vector representation and linear combinations. 2:33:08 - Understanding vector transformations in linear algebra. 2:35:04 - Understanding vector transformations and matrix inverses in linear algebra. 2:39:34 - Exploring transformations and vector relationships in linear algebra. 2:41:47 - Transformation matrices and their relationship in vector spaces. 2:45:15 - Understanding matrix calculations in the context of AI and data representation. 2:47:18 - Transformation matrices scale area in space. 2:51:32 - Understanding transformations and relationships in linear algebra. 2:54:01 - Discussion on axis transformation in linear algebra. 2:58:09 - Understanding transformation implications of a matrix in linear algebra. 3:00:00 - Understanding vector spans and linear combinations in a matrix. 3:04:09 - Understanding linear dependence and vectors in geometry. 3:06:13 - Understanding the implications of linear combinations in linear algebra.

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Timestamps (Powered by Merlin AI) 00:06 - Understanding vector operations in Linear Algebra applications. 02:06 - Understanding vector operations and their implications in AI and data science. 05:46 - Understanding vector normalization and its relation to distance calculation. 08:24 - Understanding vector normalization and its application in projections. 13:09 - Understanding the norm and its relation to vectors in linear algebra. 14:56 - Understanding vector projections and basic angle concepts in linear algebra. 19:06 - Understanding vector representation and addition in linear algebra. 21:02 - Understanding vector representation and linear combinations in linear algebra. 25:46 - Understanding vector representation and navigation in data space. 27:39 - Transforming data points using linear combinations. 30:50 - Exploring vector representation and linear combinations in linear algebra. 32:33 - Understanding data transformation and vector relationships in linear algebra. 36:09 - Explanation of vector components in linear algebra using angles and directions. 38:08 - Exploring vector representation and mathematical definitions in linear algebra. 41:28 - Exploring components and directions in linear algebra. 43:43 - Understanding linear relationships in data representation. 48:59 - Explaining matrix-vector operations and their linear implications. 51:13 - Understanding matrix operations essential for AI and data science. 55:23 - Introduction to upper triangular matrices in solving systems of equations. 57:20 - Utilizing Gaussian elimination for solving linear equations in matrices. 1:01:44 - Understanding matrix structure and its role in solving equations. 1:03:30 - Understanding matrix structure and pivot elements in linear algebra. 1:07:06 - Understanding identity matrices and their role in linear algebra. 1:09:55 - Understanding tensors and their representation in different dimensions. 1:14:00 - Understanding systems of linear equations and their solutions 1:15:48 - Explaining parallel lines in linear equations and their significance. 1:19:39 - Understanding the implications of linear equations and their solutions. 1:21:34 - Understanding vector transformations using matrices in linear algebra. 1:26:33 - Understanding linear systems through graphical representation and equation manipulation. 1:28:34 - Explaining vector operations and intersections in linear algebra. 1:32:14 - Teaching procedural techniques for solving linear equations. 1:33:55 - Using subtraction and coefficients in linear equations. 1:37:44 - Introduction to solving systems of linear equations using Python. 1:39:35 - Solving a linear system using Gaussian elimination. 1:43:24 - Understanding solutions of linear equations using matrices. 1:45:30 - Understanding matrix equation manipulation challenges. 1:48:39 - Understanding scalar multiplication and its impact on matrices. 1:50:26 - Understanding matrix transformations and the inverse process in linear algebra. 1:54:02 - Understanding matrix types and their dimensions. 1:55:55 - Understanding matrix dimensions and operations for effective linear transformations. 2:00:06 - Matrix concatenation and dimension matching in linear algebra. 2:02:03 - Understanding matrix orientation and formatting in linear algebra. 2:06:45 - Exploring matrix operations and solutions in linear algebra. 2:09:50 - Exploring algebraic examples and operations with variables. 2:16:29 - Exploring vector properties and dot product calculations.

المفروض اكون عارف ايه قبل الكورس ده يادكتور لانى شايف ان فيهم ماتريكس وفيكتور فى اول محاضرة

المفروض اكون عارف ايه قبل الكورس ده يادكتور لانى شايف ان فيهم ماتريكس وفيكتور فى اول محاضرة

ياريت لو فيه ملفات للكورس جزاك الله خير يابشمهندس

لو سمحت ممكن الداتا

ما شاء الله ربنا يزيدك من فضله

طيب بعد اما نعمل complete عن طريق ال memory و نحطه في جدول اللي هو queryName ،ازاي نحفظ ده في فايل عشان لما بكون عاوز اعمل ده بكتب .df.coalesce(1).write.csv(path,overwrite) و df هنا مشاور على sql query اللي عملنا بيها select طبعا الامر ده انا بعمله رن بنفسي عشان يسمع في المكان اللي محدده، مفيش حل ان اخلي الكتابه تكون اوتوماتيك من غير ما اعملها بنفسي

لو سمحت ي هندسه ممكن النوتبوك والتاسكات!؟

أنا خريج كلية تجارة قسم احصاء وحابب أخش مجال ال Data Science ممكن حضرتك تقولي ايه أفضل ترتيب لمشاهدة كورسات حضرتك على القناة؟ وهل ليهم Prerequisites

ممكن لينك للسلايدز يا دكتور لو سمحت

اتفق جدا ربنا يبارك في حضرتك

السلام عليكم ي دكتور لو سمحت كنت عايز اشترك في الlab وبعت لحضرتك علي الميل

جزاك الله كل خير شرح جميل جعله االله فى ميزان حسناتك

صح جدا

شكرا يا هندسة

ربنا يكرم حضرتك يا دكتور حقيقي محتويات الكورسات بتاعت حضرتك عظيم واتمني تنزل كورسات جديدة خصوصا ل NLP لأنها عملت طفرة ف العالم الفترة الاخيرة

طيب يا دكتور بالنسبه لحد بيشتغل تلر فى بنك اكيد ده مش هيعرف يطبق فى شغله وفى نفس الوقت فى استعداد للمذاكره من غير ما يسيب الشغل لكن المشكله ان السن ٣٥

يعطيك الصحة استاذ واضح تمام

اللهم بارك ❤ , ممكن اللابات ولا اي ؟

حقيقي شرح عالمي اللهم بارك

رائع جدا ماشاالله... استوعبت الان نقاط قوة Spark

Probability & Statistics Linear Algebra Numerical Optimization حضرتك المحتوي كامل بتعهم؟

جزاك الله خيرا، ممكن ال slides,labs علشان نطبق ع كل حاجة؟

انا منزل virtual machine ومثبت عليه sap اعمل ايه عشان اشتغل pyspark

شرح ممتاز يا دكتور بستأذن حضرتك لو ممكن السلايد

لو سمحت يا دكتور كنت عايز اعرف ايه الفرق بين numerical analysis و numerical optimization و numerical algorithms وايه افضل الكتب فى كل واحد من دول ؟

بوركت جهودك يا دكتور

مشكور دكتور حاتم

هل كورس ال linear algebra و probability , statstics اللى موجود على القناة كامليين و شكراااا جدا على الفيديوهات الجميلة دى

بعت لحضرتك يا دكتور بخصوص ال labs

بعت لحضرتك ميل يادكتور

استاذ ممكن اقرة علية اني طالبة جامعية مرحلة ٣ علوم رياضيات

بعد اذن حضرتك عايز ال pdf بتاع الكورس ده

ربنا يبارك في حضرتك يا دكتور

انا للاسف مش عارف ML فهل ده عائق و لكن عارف python, sql

هل احتاج شهادة جامعية للعمل في هذا المجال ؟

عايزينوا كمان على azure يا هندسه لو سمحت

شكرا لحضرتك جدا يا بروف و ربنا يبارك في حضرتك و يزيدك من فضله.

دكتور ممكن الى عاوز ياخد مع حضرتك كورس يكلم مين

مفيش صوت