65 тысяч подписчиков
1.8 тысяч видео
QTP || UFT || How to Create Objects
QTP || UFT || How to Set Objects
QTP || UFT || How to Run
QTP || UFT || How to Import Excel file into QTP
QTP || UFT || How to work with Description and associative properties
Core Java Training || Platform Independence
Core Java Training || String Tokenizer
Core Java Training || Access Specifiers
Core Java Training || Recursions and Access Control
Core Java Training || Java Utils
Core Java Training || Nested Try Statements
Core Java Training || Exception Handling
Windows Server Active Directory || Working with Group Policy Exceptions || Lesson12
Core Java Training || Variables
Core Java Training || JAVA.IO PACKAGE
Core Java Training || java.io Package Constructors
Core Java Training || Type Conversions and Casting
Physics Lessons || ELECTROSTATIC POTENTIAL, ENERGY eV, CONSERVATIVE FIELD, EQUIPOTENTIAL SURFACES
Richard Feynman The Character of Physical Law 3 The Great Conservation Principles r IfV9fkBhk
Scientific Computing || 01 Use of MATLAB for the course 2 41
Richard Feynman The Character of Physical Law 7 Seeking New Laws MIN Flswy0
Scientific Computing || 02 Week 7 19 1 Introduction to spectral methods 10 46
Windows Server Active Directory || Creating Active Directory Objects || Lesson08
Discrete Optimization || 06 Knapsack 4 dynamic programming 17 58
Scientific Computing || 01 Week 5 14 1 Implementing time stepping for PDEs 18 21
Citrix || Lesson23 || XenApp Command Line Tools
Model Thinking - Strategies || 04 7 4 Contagion Models 2 SIS Model 9 12
Text Mining and Analytics || 01 07 1 7 Word Association Mining and Analysis 00 15 39
T02 02 || Appdev - Dot Net Framework Training
The Smallest - The Higgs Boson
Windows Server Active Directory Using Group Policy for Software Development Lesson14
Core Java Training || Java.Util Package Constructors
Windows Server Active Directory Lab Setup Lesson02
The Hardware/Software Interface || 04 The Fork Exec Model 12 22
04 10 4 10 Contextual Text Mining Mining Casual Topics with Time Series Supervision 00 19 37
02 01 2 1 Topic Mining and Analysis Motivation and Task Definition 00 07 36
The Hardware/Software Interface || 02 Machine Programming 21 50
Contextual Text Mining Contextual Probabilistic Latent Semantic Analysis
COMPUTER ARCHITECTURE || 02 L13S2 Base and Bound Registers 11 44
COMPUTER ARCHITECTURE || 01 L11S1 Basic Cache Optimizations 16 08
C# Training Course || C Sharp Optional Params
Scientific Computing || 01 Week 7 20 1 Spectral methods more broadly viewed 9 27
03 02 3 2 Text Clustering Generative Probabilistic Models Part 1 00 16 18
COMPUTER ARCHITECTURE || 01 L21S1 Credit Based Flow Control 7 23
Core Java Training || JAVA.LANG PACKAGE
C# Training Course || Dynamic Xml With C Sharp
Core Java Training || Java.util Package
Scientific Computing || 02 Week 9 25 1 Operator splitting linear and nonlinear terms 9 43
COMPUTER ARCHITECTURE || 01 L16S1 SMT Implementation 17 19
Logic : Language and Information || 05 6 5 Negation in PROLOG 6 55
COMPUTER ARCHITECTURE || 06 L15S6 Simultaneous Multithreading 12 53
Social Network Analysis || 03 2C Advanced version Models of network growth 25 28
Citrix || Lesson12 || Publishing Applications and Content
Text Mining and Analytics || 02 13 2 13 Probabilistic Latent Semantic Analysis PLSA Part 1 00 10 38
The Hardware/Software Interface || 01 Preliminaries 9 13
