| 001 A Brief Discussion on Electricity and Magnetism.mp4 | 143.1 MB | ||
| 001 A Brief Discussion on Electricity and Magnetism_en.vtt | 33.2 KB | ||
| 001 A Brief Introductory Lecture on Heat.mp4 | 151.7 MB | ||
| 001 A Brief Introductory Lecture on Heat_en.vtt | 27.6 KB | ||
| 001 Defining Simple Harmonic Motion and Finding The Mathematical results in SHM.mp4 | 64.3 MB | ||
| 001 Defining Simple Harmonic Motion and Finding The Mathematical results in SHM_en.vtt | 19.2 KB | ||
| 001 Definition of Reflection and Refraction.mp4 | 19.9 MB | ||
| 001 Definition of Reflection and Refraction_en.vtt | 5 KB | ||
| 001 Introduction.mp4 | 11.8 MB | ||
| 001 Introduction_en.vtt | 819.2 B | ||
| 001 Properties of Matters.mp4 | 215 MB | ||
| 001 Properties of Matters_en.vtt | 9.2 KB | ||
| 001 Types of Motion, Theories on Light, Interference, Diffraction and Polarization.mp4 | 348.4 MB | ||
| 001 Types of Motion, Theories on Light, Interference, Diffraction and Polarization_en.vtt | 53.9 KB | ||
| 002 Latent Heat and Temperature.mp4 | 119.5 MB | ||
| 002 Latent Heat and Temperature_en.vtt | 20.2 KB | ||
| 002 Reflection and Refraction.mp4 | 51.6 MB | ||
| 002 Reflection and Refraction_en.vtt | 9.7 KB | ||
| 002 Vectors and Scalars + Trigonometry.mp4 | 761.6 MB | ||
| 002 Vectors and Scalars + Trigonometry_en.vtt | 31.5 KB | ||
| 003 Laws of Thermodynamic and Entropy + Thermodynamic Equilibrium.mp4 | 160.3 MB | ||
| 003 Laws of Thermodynamic and Entropy + Thermodynamic Equilibrium_en.vtt | 31.2 KB | ||
| 003 Types of Flowing Fluids.mp4 | 102 MB | ||
| 003 Types of Flowing Fluids_en.vtt | 17.3 KB | ||
| 004 Bernoulli's Equations.mp4 | 76.9 MB | ||
| 004 Bernoulli's Equations_en.vtt | 17.8 KB | ||
| 005 Viscosity and Surface Tension.mp4 | 154.5 MB | ||
| 005 Viscosity and Surface Tension_en.vtt | 27 KB | ||
| 006 Methods to Determined the Surface Tension and What is Surface Energy.mp4 | 63.7 MB | ||
| 006 Methods to Determined the Surface Tension and What is Surface Energy_en.vtt | 11 KB | ||
| Bonus Resources.txt | 307.2 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 32 total files | |||
Applied Physics for Data Science and Machine Learning
https://DevCourseWeb.com
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.38 GB | Duration: 5h 46m
Learn application of physics in data science and machine learning
What you'll learn
Properties of Matter
Flowing Fluids
Heat and Thermodynamic
Optics and Light
Electricity and Magnetism
Requirements
Basics of Physics Knowledge
Description
How to Become Pro in Applied Physics for Data Science and Machine Learning?
This course Applied Physics for Data Science and Machine is for data science, machine learning, artificial intelligence, engineering, and computer science students. The course Introduction to Applied Physics is very unique and rarely found on any online platform, while it has high demand due to its application in the above subtitle of the course. This course Introduction to Applied Physics is being taught as an optional and compulsory subject in different universities. You can watch many unique tutorials in Introduction to Applied Physics for data science and machine learning course. There is a huge significance of applied physics in data science and machine learning. Also, Introduction to Applied Physics is a high-level course of above intermediate.
The course contains high-definition video content and the length of the course is 7 hours with more than 5 sections. The course has been designed on PowerPoint slides. Moreover, we have question-answer sections of each video, if you feel any difficulty then you can put your question to clear your concepts, we will promptly reply to your question. Watch each video sequence wise and don't skip any video if you want to be a clear understanding of "Applied Physics for Data Science and Machine Learning". You will not find this course on a web search of google or YouTube and this course is only available on Udemy with strong content.
You will learn all basics and advanced concepts of applied physics. The course material is highly constructed under the supervision of an instructor. You shall start from the basics and end up with a high level of applied physics. One thing which is good for the students is that there is no mathematics used in this course and the course is totally theoretical rather than mathematical.
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| 1.6 GB | freecoursewb | 3 months | 3 | 3 | |
| 4.1 GB | freecoursewb | 7 months | 0 | 0 | |
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Udemy - Applied Statistics and Probability for Data Science - Python Posted by
freecoursewb in Other
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1.5 GB | freecoursewb | 7 months | 4 | 1 |
| 2.8 GB | freecoursewb | 9 months | 0 | 0 | |
| 814.7 MB | freecoursewb | 11 months | 0 | 0 |
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