youtube-playlists.md

YouTube Playlists

Engineering

Units and Measurements

Material Properties

Mathematics and Programming

Applied Mathematics

Calculus

• Math 2B: Calculus,

Linear Algebra

• LAFF Numerical Linear Algebra (Fall 2014)
• Linear Algebra Vignettes

Probability and Statistics

Programming

Git

• GitHub Professional Guides,
• Git and GitHub with Briana Swift,

MATLAB

• Matlab,

OpenGL

• OpenGL Animation Tutorials,
• OpenGL 3D Game Tutorials,

Python

• Basic Python for Beginners,

R

• R Shiny Tutorial - Building Interactive Web Apps in R using Shiny,
• R Statistics Programming - Bioinformatics - Lectures,
• Introduction to Programming in R Statistical Software,
• R Statistics Essential Training,
• R Tutorial Videos,
• R Programming Tutorials Playlist,
• R tutorial - Learn R Programming,
• R Programming Software and Statistics Tutorials (All Videos),
• YaRrr! Course,
• Introduction to R Programming,
• Analytics on R,

Unix

• BASH Shell Scripting Tutorial in Linux,
• Linux Command-Line Interface Tutorials (CLI),

Wordpress

• Wordpress Basics

Mechanics & Theory of Machines

Statics and Dynamics

• MIT 8.01 Classical Mechanics, Fall 2016
• Engineering Mechanics (Statics,

Strength of Materials

• Strength of Materials for GATE,

Advanced Strength of Materials/Continuum Mechanics

Theory of Machines

Thermal Engineering

Thermodynamics

Heat Transfer

Fluid Mechanics

Manufacturing

Conventional Manufacturing

• Design for Manufacturing Course,

Non-traditional Machining

Additive Machining (Rapid Prototyping, 3D Printing)

Specialized Fields

Computational Fluid Dynamics

• AirShaper - Computational Fluid Dynamics,

Robotics

Generic

• Robotics,

Locomotion

Manipulation

Computer Vision

• Python Computer Vision

Artificial Intellgence/Machine Learning

• D& R for the Analysis of Big Data by William S. Cleveland,
• Introduction to Machine Learning by Dale Schuurmans,
• PURDUE Machine Learning Summer School 2011,
• Large-scale ML and Stochastic Algorithms by Leon Bottou,
• Optimization for Machine Learning by S.V.N Vishwanathan,
• Reinforcement Learning by Satinder Singh Baveja,
• DeepLearningBook,
• Deep Learning,

Finite Element Analysis

Computational Fluid Dynamics

Engineering Optimization

MEMS/NEMS/Nanotechnology/BioEngineering

Software Packages

---

To Be Segregated

• 8.01 Classical Mechanics

• Python Computer Vision

• Mathematics - Advanced Matrix Theory and Linear Algebra for Engineers

• Differential & Integral Calculus 2 Technion

• Leveraging Computer Vision and MATLAB for Advanced Driver Assistance Systems (ADAS)

• All Tutorials LinuxTV

• Neural Network by 3Blue1Brown

• Intro to Programming

• Marc - Nonlinear Material Modeling: Back to the Basics

• Advanced Engineering Mathematics

• Differential Equations

• Visual Group Theory

• Mechanics of Materials by Engineer4FRee

• Symposium on Modeling and Optimization

• Numerical Modeling (EGR 511),

• Free Classes,

• Get Up and Running,

• Whiteboard Wednesday,

• MATLAB and Simulink Robotics Arena,

• Python Q&A with Dan – Your Python/Career questions answered | #PythonQA,

• Deep learning with Keras,

• 1-7: Foundations of Programming in JavaScript - p5.js Tutorial,

• Dante in Translation with Giuseppe Mazzotta,

• Finite Mathematics,

• Full Webinars,

• Statistics and Data Analysis in MATLAB,

• Algorithms,

• Graph Algorithms,

• Graph Theory by Sarada Herke,

• EuroPython 2017,

• Liked videos,

• Operating Systems,

• Number Systems,

• Python – Intermediate and Advanced Features,

• Descriptive Statistics,

• Probability Distribution,

• Solidworks Practice with me Beginners,

• Blender for Beginners: Modeling a Basic Handgun tutorial,

• Blender 3D Tutorials,

• Blender Fundamentals,

• The Mechanical Universe,

• OpenGL,

• Modern Robotics,

• Coding Whiteboard Exercise,

• MySQL for Beginners,

• Sublime Text,

• Python Fundamentals Training,

• Computer Aided Analysis / C,

• Building Prototypes with Dan Gelbart,

• Circuit Analysis - Electrical Engineering,

• Introductory Physics II,

• PowerShell 5 Recipes tutorial,

• Learning Basics of Functional Programming tutorial,

• Qt Tutorials For Beginners,

• C++ Programming Tutorial for Beginners (For Absolute Beginners),

• C Programming Tutorials for Beginners (Complete Series),

• Scala Tutorial,

• C++ Programming Video Tutorials For Beginners [ Complete Series ],

• Basic Programming,

• A brief History of Humankind - Dr. Yuval Noah Harari,

• Physics,

• Python Programming Beginner Tutorials,

• CVPR17: Tutorials,

• LS-DYNA Sample Models 1,

• Data Structures in Animated Way,

• C++,

• LS-DYNA all videos,

• Mastering Markdown,

• Web Dev Tutorials,

• Python for Process Control,

• Functional Programming in Python,

• CS50 Lectures 2017,

• OpenGL Screencasts and Tutorials,

• Algorithm and Data Structure Screencasts and Tutorials,

• WebGL Screencasts and Tutorials,

• 3D math Screencasts and Tutorial Videos,

• LS-DYNA | GRS CAEWorldwide,

• Google Developer Days Europe 2017,

• Learning From Data,

• Getting Started with ANSYS Student,

• Discrete Maths,

• The Fundamentals of Logic,

• Differential Equations,

• Thermodynamics I: Professor David Miller's Lecture Series,

• LS-DYNA Metal Forming Application & LS-PrePost eZSetup,

• LSPP-eZSetup Introduction,

• Materials Characterization Course,

• Beharbari Outpost,

• White Board Sessions,

• Mechanical mechanisms,

• For Linking,

• CS160 Spring 2015 lectures,

• Linear Algebra Done Right,

• Math 676,

• Matrix & Linear Algebra,

• Enriching Collegiate Mathematics,

• TensorFlow Object Detection API,

• C++ Weekly C++17,

• SolidWorks Complete Learning Tutorials,

• MATLAB Beginners Tutorials,

• SolidWorks 20XX Training,

• Basic Introduction to Image processing using Matlab,

• Abaqus Learning,

• To The Point Math (TTP Videos),

• MIT 10.34 Numerical Methods Applied to Chemical Engineering,

• MIT 18.650 Statistics for Applications,

• Neural Network Tutorial,

• Fluid Mechanics,

• Start Programming Today with Python! w/English Subtitles,

• Python Regular Expressions,

• Python Threading - Multithreading Playlist (2017),

• cs155,

• Lecture Collection | Convolutional Neural Networks for Visual Recognition (Spring 2017),

• MIT RES.10-001 Making Science and Engineering Pictures: A Practical Guide to Presenting Your Work,

• MIT 6.0002 Introduction to Computational Thinking and Data Science,

• MIT 15.S50 How to Win at Texas Hold 'Em,

• MIT 16.842 Fundamentals of Systems Engineering,

• Heroes of Deep Learning,

• Great Ideas in Theoretical Computer Science at CMU (incomplete),

• MIT Course 9.520 - Statistical Learning Theory and Applications,

• Algorithms - Shai Simonson,

• Computational Linear Algebra,

• NACA High-Speed Flight Research Station (Historic),

• Book: Introduction to Statistical Learning,

• SciPy 2017: Scientific Computing with Python Conference,

• C++ Tutorials in Animated Way,

• Web Development with HTML & CSS!,

• Creating Your First Django App! (Series),

• Python Programming for Beginners!,

• Intro to the Design of Everyday Things,

• Introduction to Algorithms,

• Intro to Artificial Intelligence,

• Intro to Parallel Programming,

• Intro to Theoretical Computer Science,

• Computational Photography | Udacity,

• High Performance Computing | Udacity,

• Introduction to Computer Vision | Udacity,

• Intro to Statistics,

• Artificial Intelligence Tutorials,

• HTML5 For Beginners 2017,

• Data Science Tutorial Videos,

• Deep Learning With TensorFlow Videos,

• Lecture Collection | Introduction to Robotics,

• Python Basics,

• Shine On You Crazy KiCad,

• Django Tutorials,

• Startup School: The First 100 Days - CS183F - Spring 2017,

• Building products with javascript,

• SRDK 1.0: Soft Robotics Setup Videos,

• Essence of calculus,

• Online ROS Tutorials,

• Amrita Infosys Programming Contest Camp,

• ACM/ICPC Training: For Beginner,

• undergraduate machine learning at UBC 2012,

• Kivy Tutorial,

• Kivy crash course,

• ECE5760 DE2/115 lectures 2011,

• FPGA design,

• Anh's research,

• MIT Making Science and Engineering Pictures,

• Embedded Linux Conference + OpenIoT Summit NA 2017,

• CS1: Higher Computing - Richard Buckland UNSW,

• ELEC2141 Digital Circuit Design,

• HCR Lab tutorials,

• CS3: Design in Computing - Richard Buckland UNSW,

• Gate 2017 Rankers,

• Python Plays: Grand Theft Auto V,

• ROS Prototype to Production on Ubuntu Core,

• ANSYS APDL Tutorials,

• Introduction to Deep Learning,

• Robot Operating System,

• Robot Operating System (ROS),

• ROSCon 2016,

• ROSCon 2016,

• Programming for Robotics (ROS),

• Essential Training,

• Raspberry Pi and Python Tutorials,

• Python Tutorial for Beginners (For Absolute Beginners),

• An interactive introduction to MATLAB® 2012,

• Matlab Tutorial,

• Introduction to Game Development (Unity and C#),

• FPGA Introduction Course training,

• Embedded Systems with mbed course,

• IMAGE PROCESSING USING MATLAB,

• Engineering CEE 20: Engineering Problem Solving,

• Understanding Kalman Filters,

• Reproducible Data Analysis in Jupyter,

• Python 3 Programming Course,

• Beau teaches JavaScript,

• Google Cloud Tutorials,

• URC CDR 2017,

• 2017 University Rover Challenge (URC) ROS Robots,

• CS50 VR Lectures 2016,

• Learn Scientific Python in One Playlist,

• Get Started Using MATLAB! w/English Subtitles,

• RRL Research,

• Python 101,

• Algebra II (Core Course Jan - Apr 2014) By Prof. K. N. Raghavan,

• Sage Days,

• Programing for Mathematics Course,

• NNMCB Course on Mathematical and ComputationalBiology - Computers,

• Femap Basics,

• A first course in Linear Algebra - N J Wildberger,

• Programming for Designers - COMP1400-T2 (2011),

• University Calculus. Dr Chris Tisdell,

• CS2: Data Structures and Algorithms - Richard Buckland,

• Vector Calculus @ UNSW Sydney. Dr Chris Tisdell,

• Art of Programming. Richard Buckland,

• Quantum Computing Concepts,

• Talks,

• #TutorialTuesday,

• AnacondaCON 2017,

• A few impressions from IISc Open Day - March 4,

• ENGR380 Design of Machine Elements (2014W),

• MEEG 4104 - Machine Element Design,

• Slocum Fundamentals EdX (Machine Design MIT),

• Lecture 2012.08.29 Machine Design,

• Mechanical - Design of Machine Elements,

• Design of Machine (DOM),

• Process Dynamics and Control,

• Dynamic Optimization,

• Computational Tools for Engineers,

• Computer Science,

• 8.03 - MIT Physics III: Vibrations and Waves,

• 8.02x - MIT Physics II: Electricity and Magnetism,

• 8.01x - MIT Physics I: Classical Mechanics,

• C++ Weekly,

• Prof. Gilbert Strang - Linear Algebra Lectures,

• Try Django 1.9 -- Build a Django Blog -- Django 1.9,

• Intro to Flask Series,

• Programming with Text - All Videos,

• C++ Programming,

• Stress Analysis: Dr. Hassan Rejali's lecture series,

• Embedded Linux Conference + OpenIoT Summit Europe 2016,

• Tutorial on Sheaves in Data Analytics,

• Shell Scripting Tutorial for Beginners,

• TensorFlow Dev Summit 2017,

• 6.0001 Introduction to Computer Science and Programming in Python. Fall 2016,

• Learn Linux from Scratch,

• Learn Version Control with Git,

• Git and GitHub Essentials,

• Probabilistic Robotics,

• C++ Robotics Programming,

• LabVIEW Robotics (Lego Mindstorms & Tetrix),

• Python Programming,

• Applied Finite Element Analysis,

• Beginning C,

• Approximate Dynamic Programming Lectures by Dimitri P. Bertsekas,

• Coding Challenges,

• Secret History with Gary Geck,

• Build applications with Python,

• MIT Lecture: Gödel Escher Bach; an Eternal Golden Braid,

• Advanced Algorithms (COMPSCI 224),

• MFGD - Numerical Analysis,

• Legged Locomotion,

• Foundations of Machine Learning Boot Camp,

• 2016 Argonne Training Program on Extreme Scale Computing (ATPESC),

• CSE373 - Analysis of Algorithms - 2012 SBU,

• Evolutionary Robotics Course (Spring 2017),

• Deep Learning with Tensorflow,

• MIT 6.S094: Deep Learning for Self-Driving Cars,

• Ubuntu Linux Tutorials for Beginners,

• Simple Programmer Episodes,

• Lecture Collection | Machine Learning,

• SQL tutorials for beginners/ Oracle Database tutorials.,

• Intro to C on Windows,

• Python Tutorials,

• Python OOP Tutorials - Working with Classes,

• What is a programming language? (2015-10-28),

• CPython internals: A ten-hour codewalk through the Python interpreter source code,

• Web Programming Video Lectures,

• Machine Learning,

• Django class based views,

• A course on Finite Element Analysis,

• Intro to TensorFlow,

• Learning To See,

• Two Minute Papers,

• Understanding Control Systems,

• Begin to Code with C#,

• What should you do with your life? - The 80,

• A Friendly Introduction to Machine Learning,

• The CORE Hacking Course,

• Elements of Statistical Learning,

• signal processing 101,

• Intermediate Python Programming,

• Python Programming Tutorial in Linux,

• Arduino Starter Kit - Video Tutorials by Massimo Banzi,

• Tutorial Series for Arduino,

• C Programming in Linux Tutorial,

• Embedded Systems Arduino,

• Introduction to C programming for embedded systems (ICES),

• UC Berkeley CSc149 Intro to Embedded Systems,

• UT Embedded Systems Class,

• Embedded Systems Course - Version 3 - 2015,

• Introduction to Robotics Course,

• Electrical - Embedded Systems,

• Modern Embedded Systems Programming Course,

• Blender Conference 2016,

• PyData DC 2016,

• CS50 Lectures 2016,

• Git & GitHub,

• SciPy 2016,

• Python GUI with Tkinter Playlist,

• Javascript Tutorial For Beginners,

• Design Patterns Video Tutorial,

• Object Oriented Design,

• C++ Beginner Tutorials,

• Learn JavaScript,

• C++ OpenGL Beginner Tutorials,

• Algorithms,

• Neural Networks,

• C++ Miscellaneous,

• What is a Manifold?,

• What is a Tensor?,

• Kali Linux 2016.1 Hacking Tutorials (Full Course) ✔,

• Web Development,

• Python Tutorials Using Spyder,

• NLTK with Python 3 for Natural Language Processing,

• Episodes,

• Deep Learning School 2016: Individual Talks,

• UC Berkeley CS10 Beauty and Joy of Computing Fa10 (1080p HD),

• Pythonic code tips,

• Redstone Tutorials,

• MIT 6.854 (Advanced Algorithms),

• 18.409 Algorithmic Aspects of Machine Learning Spring 2015 MIT,

• Simulink tutorial,

• MATLAB: Statistics and Machine Learning Examples,

• ALL TUTORIAL,

• MATLAB: Signal Processing and Control System Examples,

• Making Control System Development Easier with MATLAB and Simulink,

• GIMP 2.8 Tutorials,

• Logic Gates and Combinational Logic Circuits,

• Boolean Algebra and Combinational Logic Circuit Design,

• Python Programming,

• Mechatronics with MATLAB and Simulink,

• Matlab & Simulink Tutorial Videos,

• Fourier Analysis,

• Partial Differential Equations,

• Ordinary Differential Equations,

• Finite Element Analysis,

• Basics of Finite Element Analysis,

• Finite Element Analysis of Engineering Problems with ANSYS,

• ANSYS APDL mechanical Coarse 2015,

• ENGR 570: Finite Element Analysis (Spring 2016),

• Femap - FEA (Finite Element Analysis),

• Adams 2012 Student Edition Tutorials,

• Student Edition Tutorials,

• Adams Webinars,

• Computational Fluid Dynamics Teachers Workshop,

• Computational Fluid Dynamics Coordinator Workshop,

• Python Programming,

• PySide,

• R Programming,

• Python Data Science,

• SciPy 2016: Scientific Computing with Python Conference,

• SciPy 2015: Scientific Computing with Python Conference,

• SciPy 2014: Scientific Computing with Python,

• SciPy 2013: Scientific Computing with Python,

• Programming,

• Mechanical - Computational Fluid Dynamics,

• Lectures on Continuum Physics,

• Full Stack Fest 2016,

• Functional Programming in Python by Caleb Smith,

• Torch Video Tutorials,

• Google Developer Python tutorial,

• Developer Playlist,

• Tutorials,

• Material Design,

• How Things Work,

• Math in Real Life,

• MIT 6.851 Advanced Data Structures,

• MIT 18.06SC Linear Algebra Recitations,

• MIT 18.02SC: Homework Help for Multivariable Calculus,

• 6.041 Probabilistic Systems Analysis and Applied Probability,

• MIT 6.370 The Battlecode Programming Competition,

• MIT 6.042J Mathematics for Computer Science,

• esigning the graphics in ""The Truthful Art""",

• CS460 ROS Short Tutorials,

• Math Olympiad,

• Mini-course: ""Introduction to Analytic Number Theory"" by Ram Murty [2015]",

• Number Theory,

• ME 702 - CFD,

• Statistics everyone should know,

• Writing in the Sciences,

• Differential Equations,

• Advanced Calculus / Multivariable Calculus,

• Introduction to Pyhton for mathematical programming,

• Learning medical statistics with python and Jupyter notebooks,

• A Second Course in Differential Equations,

• SciPy 2014: Scientific Computing with Python,

• CFD - by Prof. Lorena Barba - Boston University,

• Johns Hopkins Learning Theory (Spring 2014),

• MIT 6.006 Introduction to Algorithms,

• HTML Basics Tutorial Series,

• CSS Basics Tutorial Series,

• JavaScript Basics Tutorial Series,

• C++ Programming Tutorial Series,

• OpenGL,

• Modern OpenGL 3.0+ Tutorials,

• Abstract Algebra,

• Python Programming Tutorials (Computer Science),

• Neural networks class - Université de Sherbrooke,

• Parallel and Concurrent Haskell,

• Category Theory,

• Linux Command Line Tutorial For Beginners,

• CSharp for beginners,

• Bonus videos not part of the above episodes,

• Khan's Crypto by Brit Cruise,

• Python Challenge!,

• Python sympy Module Tutorials,

• C++ Tutorials,

• Batch Tutorials,

• Machine Learning CMU Fall 2013 10-701x,

• Knowledge | Computing | Machine Learning | Sendex,

• Machine Learning Crash Course 2015,

• Caltech's Machine Learning Course,

• GPU Computing and Machine Learning,

• Caltech Machine learning,

• Python,

• Machine Learning Fundamentals,

• AI and Deep Learning - Two Minute Papers,

• Machine Learning for Trading | Udacity,

• Machine Learning - Google Developers,

• Machine Learning by Andrew Ng,

• Machine Learning 2013,

• Python Tips,

• Sublime Text Tips,

• Make Better Software: The Training Series (Complete Series),

• MIT 3.60 Symmetry,

• Math 308 - Bridge to Advanced Mathematics - Summer 2015,

• Math 346 - Elements of Linear Algebra - CCNY Spring 2016,

• Vectors,

• Math 391 - Methods of Differential Equations - Spring 2015,

• Differential Equations,

• Differential Equations for XII Standard & IIT-JEE,

• MIT Nonlinear Finite Element Analysis,

• MIT Linear Finite Element Analysis,

• Intro to Bitcoin,

• Fresh Machine Learning,

• MATLAB® Tutorial: Detailed Examples,

• Physical Modeling,

• Understanding Wavelets,

• Electronics Tutorial,

• Learn to Program,

• Lecture Collection | Linear Dynamical Systems,

• Highlights of Calculus,

• More mathematics,

• Mathematics,

• Remaking Cavestory in C++,

• Course | Programming Methodology,

• Getting started with ABAQUS,

• MSC Nastran,

• Technical Seminar for Femap & NX Nastran Best Practices,

• MSC Nastran Advanced Nonlinear,

• MSC Nastran,

• Finite element Method by Mr. Ravi Pratap Singh e-content for AKTU,

• Numerical Electromagnetics,

• Linear,

• Structural Dynamic Finite Element Analysis,

• Introduction to Programming with MATLAB,

• Engineering Mathematics (UW ME564 and ME565),

• Electro Magnetics Theory for GATE,

• Excel VBA Macro,

• Digital Electronics for GATE,

• Numerical linear algebra,

• Linear Algebra,

• Linear Algebra,

• Stanford NLP Open Course,

• introduction to the Natural Language Processing (season 0),

• Essence of linear algebra,

• Bayesian Inference and Data Analytics,

• An introduction to analytic number theory,

• Dynamic Graph Algorithms,

• Dynamic Graph Algorithm by Sayan Bhattacharya,

• Algorithm Design and Analysis August 2016,

• C# Basics for Beginners Series,

• Intermediate Dynamics - Dr. Peter Dashner Lecture Series,

• Strength of Materials I,

• Vector Statics: Dr. Mohammad Izadi's lecture series,

• Fluid Mechanics I - Concept & Derivation Videos,

• ME 340,

• Fluid Mechanics I - Dr. Biddle Lecture Series,

• Thermodynamics - ME 301,

• Vector Dynamics: Examples and simulations,

• Introduction to Excel VBA Programming - ME 232,

• Differential Geometry,

• Nonlinear dynamics and chaos by V Balakrishnan,

• Nonlinear Dynamics and Chaos - Steven Strogatz,

• RSS Workshop ""Are the sceptics right? Limits and Potentials of Deep Learning in Robotics""",

• Machine Learning,

• COLT 2016,

• Machine Learning in a Nutshell,

• C++ Programming For Beginners,

• C Programming For Beginners,

• MIT 18.S997 Introduction to MATLAB Programming Fall 2011,

• Introduction to MATLAB,

• Let's Pi!,

• Python QT,

• Python for Data Analysis - Pandas Cookbook,

• Machine Learning for Hackers,

• Makers of India,

• Erle Robotics - ROS 2 Tutorials,

• JavaScript for Beginners,

• Learn to program in C++ - pLAY with C++ || Doctor Codes,

• MIT 8.334 Statistical Mechanics II,

• MIT 8.333 Statistical Mechanics I: Statistical Mechanics of Particles,

• SLAM Lectures,

• Getting To Blinky 4.0,

• Linux Administration Tutorial Videos,

• Linux Fundamentals Tutorials,

• GIT and GITHUB Tutorial Videos,

• Data Analytics with R Tutorial Videos,

• Software Development From A to Z Video Course,

• Python 3 Basics Tutorial Series,

• PyQT Python GUI Application Development with Python,

• Training • GitHub Overview,

• Learn Python 2017,

• Jupyter,

• ipython tutorial,

• Software Debugging,

• Python 101,

• Learn C,

• Python 101 Clip,

• Python3 Advanced Tutorials,

• Python3 Intermediate Tutorials,

• Python3 Beginner Tutorials,

• Advanced Python2 Tutorials,

• Intermediate Python2 Tutorials,

• Beginner Python2 Tutorials,

• Python 3 Essential Video tutorial Training,

• Learn Python (Google),

• Learn Python Basics,

• Vim Meetups,

• Perfect Workflow in Sublime Text (Tuts+),

• Git Basics • Training,

• Python - Object-Oriented Programming,

• Git Fundamentals for Web Developers,

• Abaqus FEA Tutorial Videos,

• CSE294: Algorithmic Problem Solving (Summer 2016),

• InkScape Tutorials,

• Inkscape advanced tutorials,

• INKSCAPE TUTORIALS FOR BEGINNERS,

• Inkscape Beginners' Guide,

• Best Inkscape Tutorials,

• ANSYS TUTORIAL for freshar,

• ANSYS Mechanical,

• ANSYS Workbench,

• ANSYS ICEM CFD,

• ANSYS Workbench: Decomposition and Hex Meshing,

• [ANSYS Workbench Tutorial : thermal,](https://www.youtube.com/watch?v=pw1Tcjfb0Vo&list=PLCaeQHGbPOQBHt37XPTKe6OeLkKOwVt0e, transient, fluent, frictional contact for beginner and advance level)

• HyperMesh | Pre processing | 2D | 3D | Meshing | ANSYS | Tutorial |,

• Professor Richard A. Muller. Physics for Future Presidents,

• Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon,

• ANSYS Workbench 15.0 to 18.1Tutorials,

• Neural Networks Demystified - Stephen Welch,

• Motion Planning for Multiple Autonomous Vehicles,

• TF ROS Tutorial,

• ROS tutorials,

• 2016 CS224D Lecture Videos,

• How to build a responsive website from start to finish,

• Machine Learning with Python,

• The Julia Computer Language,

• Tensor Algebra,

• Differential Equations,

• Deep learning at Oxford 2015,

• MIT Learn Differential Equations,

• Introduction to Programming with Python,

• Linux,

• Python Tutorial for Beginners,

• C# Fundamentals,

• Nexus Trimester - 2016 - Inference Problems Theme,

• Math Puzzles/Problem Solving,

• Machine Learning,

• Data manipulation in R with dplyr,

• Machine learning in Python with scikit-learn,

• TCL Scripting,

• Statistics Essentials for Analytics - Videos,

• Perl Scripting Tutorial Videos,

• Electronics - Linux Programming & Scripting,

• Tcl TK,

• Classical Control Systems,

• All Control System Lecture Videos,

• Vim Tutorial - Beginner's Guide,

• Vim Tutorials,

• Algorithm,

• Intro to Algorithms (Udacity),

• TensorFlow,

• Machine Learning con TensorFlow,

• Python machine learning,

• Practical machine learning,

• Machine Learning Tutorial,

• Data structures,

• Calculus Single Variable - 04. Applications,

• Calculus Single Variable - 03. Integration,

• Calculus Single Variable - 02. Differentiation,

• Calculus Single Variable - 01. Functions,

• Delft University-Aerospace Engineering\Introduction to Aerospace Engineering II,

• Delft University-Aerospace Engineering\Introduction to Aerospace Engineering I,

• Probability Theory Lectures,

• Happy Learn Haskell Tutorial,

• Becoming a Data Scientist Podcast Interviews,

• Optimization Techniques in Engineering,

• Optimization MATLAB,

• Getting Started with Simulink,

• Math,

• Control System Design and Analysis,

• MATLAB Tutorial for Beginners Full,

• Ansys Tutorial for Beginners,

• JavaScript Video Tutorial,

• Git Video Tutorial,

• Python 2.7 Tutorial,

• Regex Tutorial,

• Computer Science,

• Linear Algebra,

• Statistics,

• Perl Tutorials,

• Scikit learn python,

• scikit-learn,

• Version control with Git and GitHub,

• Meetups,

• Learning Git,

• Windows PowerShell,

• Python Best Practices,

• SolidWorks - Animation,

• SolidWorks - Rendering and Visualization,

• Simulation Xpress and Flow Xpress in SolidWorks,

• iPython Notebook,

• IPython Notebook Tutorial,

• Mastering Python Tutorials,

• Learning Git Tutorials,

• Mastering Prezi Tutorials,

• Mastering Git Tutorials,

• OpenCV Programming with Python on 64bit Linux Ubuntu 13.04,

• Mastering JavaScript Tutorial,

• Learning R for Data Visualization Tutorial,

• OpenCV Computer Vision Application Programming Tutorials,

• [Coursera] Neural Networks for Machine Learning — Geoffrey Hinton 2016,

• Understanding Machine Learning - Shai Ben-David,

• Machine learning coursera,

• Machine Learning Course - CS 156,