Computing in Python IV: Objects & Algorithms Training
Chapter 1. Objects. Working with instances of complex data types or defining your own, like creating a class to represent a video game character, a class syllabus, or an item…
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Toppers Training Institute offers Engineering (BE/B.Tech) Training
Toppers Training Institute offers Engineering (BE/B.Tech) Training through both online and classroom formats, customized to your needs. Whether you’re just starting or looking to advance your skills, our training program covers everything from the basics to the latest industry standards, with an updated syllabus.
Toppers Training Institute provide Engineering (BE/B.Tech) Training Online.
Introduction To Process Modeling In The Membrane Separation Process Training
Week 1 : Fundamentals of Separation processes and introduction of membrane system.Week 2 : Modeling of osmotic pressure controlling membrane filtrationWeek 3 : Gel layer controlling and resistance in series modeling.Week 4 : Membrane…
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Introduction to algorithms and analysis Training
1 / Lecture 1 : Insertion sort2 / Lecture 2 : Analysis of Insertion Sort3 / Lecture 3 : Asymptotic Analysis4 / Lecture 4 : Recurrence of Merge Sort5 /…
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Pattern Recognition and Application Training
SyllabusMod-01 Lec-01 Introduction.Mod-01 Lec-02 Feature Extraction - I.Mod-01 Lec-03 Feature Extraction - II.Mod-01 Lec-04 Feature Extraction - III.Mod-01 Lec-05 Bayes Decision Theory.Mod-01 Lec-06 Bayes Decision Theory (Contd.).Mod-01 Lec-07 Normal Density…
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Introduction to Aerodynamics Training
SyllabusMod-01 Lec-01 Aircraft and Aerodynamic Forces and Moments.Mod-01 Lec-02 Aircraft and Aerodynamic Forces and Moments (Contd.).Mod-02 Lec-03 Fluids and Forces in Fluids.Mod-02 Lec-04 Fluids and Forces in Fluids (Contd.).Mod-03 Lec-05…
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Digital VLSI Testing Training
Lecture 1: Introduction.Lecture 2: Introduction (Contd.).Lecture 3: Introduction (Contd.).Lecture 4: Introduction (Contd.).Lecture 5: DFT.Lecture 6: DFT (Contd.).Lecture 7: DFT (Contd.).Lecture 8: DFT (Contd.).Lecture 9: DFT (Contd.).Lecture 10:DFT (Contd.).Lecture 11: Logic…
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Thermodynamics Training
Lecture 1 : Review of Classical Thermodynamics.Lecture 2 : Review of Classical Thermodynamics Part II.Lecture 3 : Thermodynamic potential part 1.Lecture 4 : Thermodynamic potentials Part 2.Lecture 5 : Microstates…
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Deep Learning for Visual Computing Training
Week 1: Introduction to Visual Computing and Neural NetworksWeek 2: Multilayer Perceptron to Deep Neural Networks with AutoencodersWeek 3: Autoencoders for Representation Learning and MLP InitializationWeek 4: Stacked, Sparse, Denoising…
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Writing and Editing: Structure and Organization University of Michigan Training
Sentence Flow In this first week, you will be introduced to instructor Patrick Barry and begin to learn about sentence flow and structure. In-video questions will direct you to content…
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Experimental Physics – II Training
Week 1: Summary of previous course on Experimental Physics-IWeek 2: Basic apparatus : Spectrometer, light source, prism, lens, mirror, grating etcWeek 3: Experiment on reflection, refraction and dispersionWeek 4: Experiments on InterferenceWeek 5: Experiments on…
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