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RANJI RAJ
Germany
Приєднався 16 лют 2014
I teach what they won't
*All Content on this channel are original and I strictly oppose copyright violation.*
*All Content on this channel are original and I strictly oppose copyright violation.*
Create Gantt charts in LaTeX using Overleaf | Tutorial 6
In this video, we will see how to create a simple Gantt chart using Overleaf on LaTeX.
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LaTeX is a high-quality typesetting system; it includes features designed to produce technical and scientific documentation. LaTeX is the de facto standard for communicating and publishing scientific documents. LaTeX is available as free software.
Read more here: www.latex-project.org
Overleaf is a collaborative cloud-based LaTeX editor for writing, editing, and publishing scientific documents. It partners with a wide range of scientific publishers to provide official journal LaTeX templates and direct submission links.
Create your free profile here: www.overleaf.com
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LaTeX is a high-quality typesetting system; it includes features designed to produce technical and scientific documentation. LaTeX is the de facto standard for communicating and publishing scientific documents. LaTeX is available as free software.
Read more here: www.latex-project.org
Overleaf is a collaborative cloud-based LaTeX editor for writing, editing, and publishing scientific documents. It partners with a wide range of scientific publishers to provide official journal LaTeX templates and direct submission links.
Create your free profile here: www.overleaf.com
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Відео
Creating Flow Diagrams and Inserting Images in LaTeX | Tutorial 5
Переглядів 713Рік тому
In this video, we will create flow diagrams and see how to insert and format images in LaTeX using Overleaf. #latextutorial #overleaf LaTeX is a high-quality typesetting system; it includes features designed to produce technical and scientific documentation. LaTeX is the de facto standard for communicating and publishing scientific documents. LaTeX is available as free software. Read more here:...
Creating Images on LaTeX using Overleaf | Tutorial 4
Переглядів 761Рік тому
In this video, we will see how to create images using simple coding in LaTeX using Overleaf. We will review certain mathematical functions and sine curves. LaTeX is a high-quality typesetting system; it includes features designed to produce technical and scientific documentation. LaTeX is the de facto standard for communicating and publishing scientific documents. LaTeX is available as free sof...
How to create tables using LaTeX on Overleaf | Tutorial 3
Переглядів 1,1 тис.Рік тому
Hi, in this video tutorial, we see how to create tables with some advanced libraries on LaTeX overleaf! LaTeX is a high-quality typesetting system; it includes features designed to produce technical and scientific documentation. LaTeX is the de facto standard for communicating and publishing scientific documents. LaTeX is available as free software. Read more here: www.latex-project.org Overlea...
Basic Structure of a LaTeX Document on Overleaf | Tutorial 2
Переглядів 2 тис.Рік тому
In this video, we shall see how to create a basic document structure using sections, subsections, sub-subsections, footnotes, and emphasized texts. LaTeX is a high-quality typesetting system; it includes features designed to produce technical and scientific documentation. LaTeX is the de facto standard for communicating and publishing scientific documents. LaTeX is available as free software. R...
Introduction to LaTeX on Overleaf | Tutorial 1
Переглядів 6 тис.Рік тому
Hey! In this video, we will see a hands-on LateX using Overleaf. LaTeX is a high-quality typesetting system; it includes features designed to produce technical and scientific documentation. LaTeX is the de facto standard for communicating and publishing scientific documents. LaTeX is available as free software. Read more here: www.latex-project.org Overleaf is a collaborative cloud-based LaTeX ...
Deep Learning | Long Short Term Memory (LSTM)
Переглядів 1,3 тис.Рік тому
In this video, we will understand Long Short-Term Memory (LSTM) in Deep Learning. LSTMs Long short-term memory (LSTM) is an artificial neural network used in the fields of artificial intelligence and deep learning. Unlike standard feedforward neural networks, LSTM has feedback connections. Such a recurrent neural network (RNN) can process not only single data points (such as images) but also en...
Regression Evaluation Metrics | R, R-Squared and Adjusted R-Squared
Переглядів 841Рік тому
In this video, we will discuss the various evaluation metrics such as R, R-Squared, and Adjusted R-Squared that are used for regression analysis. We will also look at the mathematical intuition behind how different metrics are derived and what are the shortcomings in each of them. #datascience #machinelearning #regressionanalysis Chapters: 00:00 - Geometric intuition to correlation 08:36 - Coef...
New Hindi Channel Announcement | Adhyapakh
Переглядів 289Рік тому
As per many of your requests I have finally taken an initiative to start a Hindi channel. The videos that received most views and in-demand topics will be featured in this new channel. The name is: "Adhyapakh" URL: www.youtube.com/@adhyapakh SUBSCRIBE NOW!
Deep Learning | Teacher Forcing
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Teacher Forcing is a technique used in Recurrent Neural Networks and Deep Learning where the Ground truth values from the previous timestep are fed to the hidden layer of the next timestep. JOIN THE TELEGRAM CLUB: t.me/ dsNJpCDmHZQ0OTRl Teacher Forcing in HINDI: ua-cam.com/video/nK14088sWAU/v-deo.html #deeplearning #teacherforcing #datascience If you would like to support this channel and my wo...
Data Science with R | Variables and Vectors
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In this video, we will learn about various Data types in R programming. There are basic 6 data types: 1. Integer 2. Numeric 3. Logical 4. Complex 5. Character 6. Raw If you would like to support this channel and my work through BHIM-UPI: 919870794639@federal PayPal: paypal.me/adhyapakh 🐍𝑷𝒚𝒕𝒉𝒐𝒏 𝑺𝒌𝒊𝒍𝒍 𝑺𝒆𝒓𝒊𝒆𝒔 👉 ua-cam.com/play/PLPN-43XehstMPOjguAFadcWvMnaefX4gf.html 🐙𝑫𝒆𝒆𝒑 𝑳𝒆𝒂𝒓𝒏𝒊𝒏𝒈 👉 ua-cam.com/pla...
Data Science with R | Introduction to R programming language
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Why learn R? R is commonly used for data analysis and statistical purposes. This video will help you understand the power of statistical programming language. The scope of R is beyond Data Engineering and Data analysis. It can be used in various applications, such as making posters, presentations, PDF documents, process notebooks, and many more. This video aims to help you understand RStudio an...
Data Science Interview Series | Part 03
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Questions covered: 0:00 PEP vs. PIP vs. PyPI vs. PyPy 5:32 When do we stop training the Neural network (or backpropagation algorithm)? If you would like to support this channel and my work through BHIM-UPI: 919870794639@federal paypal.me/adhyapakh 🐍𝑷𝒚𝒕𝒉𝒐𝒏 𝑺𝒌𝒊𝒍𝒍 𝑺𝒆𝒓𝒊𝒆𝒔 👉 ua-cam.com/play/PLPN-43XehstMPOjguAFadcWvMnaefX4gf.html 🐙𝑫𝒆𝒆𝒑 𝑳𝒆𝒂𝒓𝒏𝒊𝒏𝒈 👉 ua-cam.com/play/PLPN-43XehstM4-SWLIUS5eFxPmFJ3iHan.ht...
Data Science Interview Questions | Part - 02
Переглядів 5832 роки тому
Topics covered: 0:00 Difference between Python2 and Python3 4:40 Why Softmax activation is not used at hidden layers #DataScience #Python #DeepLearning If you would like to support this channel and my work through BHIM-UPI: 919870794639@federal 🐍𝑷𝒚𝒕𝒉𝒐𝒏 𝑺𝒌𝒊𝒍𝒍 𝑺𝒆𝒓𝒊𝒆𝒔 👉 ua-cam.com/play/PLPN-43XehstMPOjguAFadcWvMnaefX4gf.html 🐙𝑫𝒆𝒆𝒑 𝑳𝒆𝒂𝒓𝒏𝒊𝒏𝒈 👉 ua-cam.com/play/PLPN-43XehstM4-SWLIUS5eFxPmFJ3iHan.html ...
Data Science Interview series | Part -1
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Data Science Interview series | Part -1
Machine Learning | Semi-Supervised SVM (S3VM/TSVM)
Переглядів 2,3 тис.3 роки тому
Machine Learning | Semi-Supervised SVM (S3VM/TSVM)
Machine Learning | Safe Semi-Supervised Learning
Переглядів 7873 роки тому
Machine Learning | Safe Semi-Supervised Learning
Machine Learning | Semi-Supervised Learning
Переглядів 12 тис.3 роки тому
Machine Learning | Semi-Supervised Learning
Kernel Matrix (Python review) & Code flow using Python Tutor
Переглядів 1,1 тис.3 роки тому
Kernel Matrix (Python review) & Code flow using Python Tutor
Machine Learning | Kernel function & Kernel Matrix
Переглядів 5 тис.3 роки тому
Machine Learning | Kernel function & Kernel Matrix
Machine Learning | Linear Learning Machines
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Machine Learning | Linear Learning Machines
Psychological & Behavioral distress of COVID-19 and Infodemics
Переглядів 4313 роки тому
Psychological & Behavioral distress of COVID-19 and Infodemics
Named Enitity Recognition (NER) | NLP
Переглядів 11 тис.3 роки тому
Named Enitity Recognition (NER) | NLP
Chunking in NLP | Text pre-processing
Переглядів 10 тис.3 роки тому
Chunking in NLP | Text pre-processing
Stop words in NLP | Text pre-processing
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Stop words in NLP | Text pre-processing
Stemming in NLP | Porter, Snowball, Lancaster Stemmers
Переглядів 4,1 тис.3 роки тому
Stemming in NLP | Porter, Snowball, Lancaster Stemmers
Tokenization using Tensorflow Keras
Переглядів 1,3 тис.3 роки тому
Tokenization using Tensorflow Keras
thank you sir, wonderful explanation
Thank you ❤
Jdi i
Je
Simple 😊
goood
is writing answers in running hand also ok or should they be written individually while writing in small case????
Hi Sir! Thank you for this video. For the Multiclass Vs. Rest what algorithm is best?
Not having enough knowledge about topic
Thank you! Great Video!
Hi Please make a playlist of statistics from basic to advanced for data science.
Thank you
very helpful
👍👍👍
explanation is simply awesome.....
Nice explanation thank you.....
great sir
well done, understandable explanation
I really want to ask what about the answers that are 2 like In mcq there are type of question suppose 12 and 13 number of question chose two best ways and if the answer is A , B So, should i need to write A,B / A or B in both questions? And i should write answer like this- A,B or- A or B?
Thank you sir ji
Understood nothing at all
Best explanation sir
in the s6 what should i do if i get 6 items my dataset are big ?
Nice, thank you
Amazing and straight to the point, thank you so much for this!
At 20.37, you discarded n/2. I would like to know why?
Thanks for these tutorials sir, new suscriber
Welcome!
Hello sir please make video on. Monte Carlo method integration questions
Thanks. Really good video. I had difficulty understanding this for years. Your 5 minutes helped immensely
Thanks!
Welcome!
Send text file
Watch in 1.5x
I hope I see the prohramming python code of active learning in your page to better underestand. :) thanks
Aaj achanak se ye video watch later me dika ek time par aishe vdo dekhta tha purani yade taja ho gyi
Ok how did you come up with 3 different distances? There should only be one distance between 2 points, otherwise the formula is unreliable
much respect for u
Thankyou so much for the amazing explanation. Really helped 😊
Thank you
😊😊😊😊😊😊😊😊😊😊
Bhaut tej bol rahe ho bhai
What is the main difference how can every client be host even the client have to depend on one router know sir
The concept is the same for using AI LLM/GPT agentic workflow
Camera stable hota toh it would be an ease!
simple and useful lecture.. thanks
You are welcome
kuch samjha nehi sir
There's no way to talk to you darkly
great explainnation
Too beautiful
Very good explanation of gradient descent
how do we know that we need to design 8 rules?
Just see the answer first . No need to thank me !!