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My CS
United States
Приєднався 30 бер 2017
My CS is a community for computer Science students / enthusiasts who want to stay up to date with latest trend of technology in computer science domain. This channel will serve as an educational tool for you to learn any skill related to this field from experts all around the world who love to share their knowledge generously. We provide contents related to computer science, data science, cyber security, IT security, machine learning, database, IT, deep learning, Python programming, JavaScript, Natural Language processing, statistics, mathematics, linear algebra and quantum mechanics.
Statistics and Probability Full Course
Statistics and probability are two closely related fields in mathematics that deal with the analysis, interpretation, and prediction of data and events. They provide tools and methods for making informed decisions and drawing meaningful conclusions in the face of uncertainty.
Statistics: Statistics involves the collection, organization, analysis, interpretation, and presentation of data. It encompasses techniques for summarizing and describing data, making inferences about populations based on sample data, and testing hypotheses. Statistical methods are used in various fields, including social sciences, business, economics, medicine, engineering, and more.
Key concepts in statistics include:
Descriptive Statistics: These methods involve summarizing and describing data using measures such as mean, median, mode, standard deviation, variance, and graphical representations like histograms, box plots, and scatter plots.
Inferential Statistics: Inferential statistics allows us to make predictions or draw conclusions about a population based on a sample. It includes techniques like hypothesis testing, confidence intervals, and regression analysis.
Probability Distributions: Probability distributions describe the likelihood of different outcomes in a random experiment or event. Common distributions include the normal distribution, binomial distribution, Poisson distribution, and exponential distribution.
Sampling Techniques: Sampling involves selecting a subset of individuals or items from a population for data collection. Different sampling methods, such as simple random sampling, stratified sampling, and cluster sampling, have specific advantages and applications.
Statistical Tests: Statistical tests help determine the significance of observed differences or relationships in data. Examples include t-tests, chi-square tests, ANOVA (analysis of variance), and correlation analysis.
Probability: Probability deals with the quantification of uncertainty and the likelihood of events occurring. It provides a framework for understanding random phenomena and making predictions based on underlying probabilities.
Key concepts in probability include:
Probability Basics: Probability is expressed as a number between 0 and 1, where 0 represents impossibility and 1 represents certainty. The probability of an event is determined by the ratio of favorable outcomes to all possible outcomes.
Probability Rules: The rules of probability govern how events interact and are combined. These rules include the addition rule (for calculating the probability of the union of two events), the multiplication rule (for calculating the probability of the intersection of two events), and the complement rule (for calculating the probability of the complement of an event).
Conditional Probability: Conditional probability is the probability of an event occurring given that another event has already occurred. It is denoted as P(A|B), the probability of event A given event B.
Probability Distributions: Probability distributions, such as the discrete probability distribution and continuous probability distribution, describe the probabilities of different outcomes or values in a random experiment. Distributions like the binomial distribution, Poisson distribution, and normal distribution are commonly used in probability theory.
Random Variables: A random variable is a numerical quantity whose value is determined by the outcome of a random experiment. It can be discrete (e.g., number of heads in coin flips) or continuous (e.g., time taken to complete a task).
Probability theory and statistics are closely connected, as probability concepts provide a foundation for statistical inference and analysis. They are fundamental tools for decision-making, risk assessment, experimental design, and modeling in a wide range of disciplines.
Statistics: Statistics involves the collection, organization, analysis, interpretation, and presentation of data. It encompasses techniques for summarizing and describing data, making inferences about populations based on sample data, and testing hypotheses. Statistical methods are used in various fields, including social sciences, business, economics, medicine, engineering, and more.
Key concepts in statistics include:
Descriptive Statistics: These methods involve summarizing and describing data using measures such as mean, median, mode, standard deviation, variance, and graphical representations like histograms, box plots, and scatter plots.
Inferential Statistics: Inferential statistics allows us to make predictions or draw conclusions about a population based on a sample. It includes techniques like hypothesis testing, confidence intervals, and regression analysis.
Probability Distributions: Probability distributions describe the likelihood of different outcomes in a random experiment or event. Common distributions include the normal distribution, binomial distribution, Poisson distribution, and exponential distribution.
Sampling Techniques: Sampling involves selecting a subset of individuals or items from a population for data collection. Different sampling methods, such as simple random sampling, stratified sampling, and cluster sampling, have specific advantages and applications.
Statistical Tests: Statistical tests help determine the significance of observed differences or relationships in data. Examples include t-tests, chi-square tests, ANOVA (analysis of variance), and correlation analysis.
Probability: Probability deals with the quantification of uncertainty and the likelihood of events occurring. It provides a framework for understanding random phenomena and making predictions based on underlying probabilities.
Key concepts in probability include:
Probability Basics: Probability is expressed as a number between 0 and 1, where 0 represents impossibility and 1 represents certainty. The probability of an event is determined by the ratio of favorable outcomes to all possible outcomes.
Probability Rules: The rules of probability govern how events interact and are combined. These rules include the addition rule (for calculating the probability of the union of two events), the multiplication rule (for calculating the probability of the intersection of two events), and the complement rule (for calculating the probability of the complement of an event).
Conditional Probability: Conditional probability is the probability of an event occurring given that another event has already occurred. It is denoted as P(A|B), the probability of event A given event B.
Probability Distributions: Probability distributions, such as the discrete probability distribution and continuous probability distribution, describe the probabilities of different outcomes or values in a random experiment. Distributions like the binomial distribution, Poisson distribution, and normal distribution are commonly used in probability theory.
Random Variables: A random variable is a numerical quantity whose value is determined by the outcome of a random experiment. It can be discrete (e.g., number of heads in coin flips) or continuous (e.g., time taken to complete a task).
Probability theory and statistics are closely connected, as probability concepts provide a foundation for statistical inference and analysis. They are fundamental tools for decision-making, risk assessment, experimental design, and modeling in a wide range of disciplines.
Переглядів: 23 468
Відео
Unix Command Line Tutorial
Переглядів 4,3 тис.Рік тому
In this course you will learn about Unix command. This #unix course is designed comprehensively for beginners.
Cryptography and security full course
Переглядів 10 тис.Рік тому
Cryptography, or cryptology, is the practice and study of techniques for secure communication in the presence of adversarial behavior. More generally, cryptography is about constructing and analyzing protocols that prevent third parties or the public from reading private messages. Cryptography and security come hand in hand. If you want to dive into cyber security or computer #security having k...
Unix Tutorial for Beginners
Переглядів 13 тис.Рік тому
UNIX is an operating system which was first developed in the 1960s, and has been under constant development ever since. By operating system, we mean the suite of programs which make the computer work. It is a stable, multi-user, multi-tasking system for servers, desktops and laptops. UNIX systems also have a graphical user interface (GUI) similar to Microsoft Windows which provides an easy to u...
Linux System Administration Full Course
Переглядів 319 тис.2 роки тому
This is a complete course on how to become a Linux System Administration. #Linux system administration is a process of setting up, configuring, and managing a computer system in a Linux environment. System administration involves creating a user account, taking reports, performing backup, updating configuration files, documentation, and performing recovery actions.
Multivariable Calculus full Course || Multivariate Calculus Mathematics
Переглядів 27 тис.2 роки тому
Multivariable calculus (also known as multivariate calculus) is the extension of calculus in one variable to calculus with functions of several variables: the differentiation and integration of functions involving several variables, rather than just one. This course covers differential, integral and vector calculus for functions of more than one variable. This #multivariablecalculus will teach ...
Statistics for Data Science
Переглядів 8 тис.2 роки тому
Statistics is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied. In this #statistics course you will about from the basic concepts such as defining statistics to the more...
Digital Forensic Crash Course for Beginners
Переглядів 48 тис.2 роки тому
Digital forensics is, at root, a forensic science encompassing the recovery and investigation of material found in digital devices. This is the first tutorial of digital forensics series which introduces digital #forensics in a comprehensive way. ⭐ Join our community ⭐ Join our FB Group: groups/cslesson Like our FB Page: cslesson/ Website: cslesson.org
Business Mathematics
Переглядів 288 тис.2 роки тому
Business mathematics are mathematics used by commercial enterprises to record and manage business operations. Commercial organizations use mathematics in accounting, inventory management, marketing, sales forecasting, and financial analysis. In this course following topics have been discussed in a very comprehensive way to understand business mathematics in depth. ⭐️ Table of Contents⭐️ 📝0:00:0...
Deep Learning with TensorFlow
Переглядів 6 тис.2 роки тому
Deep learning is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised. In this deep learning course you will learn about the fundamental of #deeplearning with TensorFlow. TensorFlow is a popular deep learning library implemented with #Python. This course is designed for ...
Calculus 1 - full course for beginners
Переглядів 33 тис.3 роки тому
Calculus, originally called infinitesimal calculus or "the calculus of infinitesimals", is the mathematical study of continuous change, in the same way that geometry is the study of shape and algebra is the study of generalizations of arithmetic operations. This is #calculus 1 course which will teach everything you need to know in order to start learning calculus. ⭐️ Table of Contents ⭐️ ⌨️ (0:...
Statistics and Probability Full Course || Statistics For Data Science
Переглядів 17 тис.3 роки тому
Statistics is the discipline that concerns the collection, organization, analysis, interpretation and presentation of data. In applying #statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied. This course is the comprehensive explanation of all statistics which very crucial for data science as we...
Digital Forensics Tutorial 5 || First step in Forensics Analysis
Переглядів 4,8 тис.3 роки тому
Digital forensics is, at root, a forensic science encompassing the recovery and investigation of material found in digital devices. This is the 6th tutorial of digital forensics series which introduces first step of digital #forensics in a comprehensive way. ⭐ References en.wikibooks.org/wiki/Introduction_to_Digital_Forensics ⭐ Join our community ⭐ Join our FB Group: groups/csles...
Python Tutorial - Python for Beginners [Full Course]
Переглядів 52 тис.3 роки тому
This course will provide you everything you need to know about Python programming from scratch. This #python #programming is designed for beginners. ⭐️ Table of Contents ⭐️ ⌨️ (0:00:00) Python programming - introduction ⌨️ (1:28:58) Python programming - Conditionals ⌨️ (2:08:25) Python programming - Functions ⌨️ (2:31:29) Python programming - Functions exercise ⌨️ (2:41:37) Python programming -...
Digital Forensics Tutorial 5 || Digital Forensics Tools
Переглядів 12 тис.3 роки тому
Digital forensics is, at root, a forensic science encompassing the recovery and investigation of material found in digital devices. This is the 5th tutorial of digital forensics series which introduces digital #forensics tools in a comprehensive way. ⭐ References en.wikibooks.org/wiki/Introduction_to_Digital_Forensics ⭐ Join our community ⭐ Join our FB Group: groups/cslesson Like...
Digital Forensics Tutorial 4 || Digital Forensics Terminologies
Переглядів 4,7 тис.3 роки тому
Digital Forensics Tutorial 4 || Digital Forensics Terminologies
Digital Forensics Tutorial 3 || Digital Forensics process
Переглядів 10 тис.3 роки тому
Digital Forensics Tutorial 3 || Digital Forensics process
Digital Forensics Tutorial 2 || Types of Crime, Investigation and Analysis
Переглядів 11 тис.3 роки тому
Digital Forensics Tutorial 2 || Types of Crime, Investigation and Analysis
Digital Forensics Tutorial 1 - An Introduction
Переглядів 22 тис.3 роки тому
Digital Forensics Tutorial 1 - An Introduction
Practical Statistics Full Course || Learn Statistics with Examples
Переглядів 9 тис.3 роки тому
Practical Statistics Full Course || Learn Statistics with Examples
Network Security Tutorial Course for Beginners
Переглядів 22 тис.3 роки тому
Network Security Tutorial Course for Beginners
SQLite crash course || SQLite Tutorial for Beginners
Переглядів 19 тис.3 роки тому
SQLite crash course || SQLite Tutorial for Beginners
Classical Mechanics Lecture Full Course || Mechanics Physics Course
Переглядів 116 тис.3 роки тому
Classical Mechanics Lecture Full Course || Mechanics Physics Course
Analysis of Variance (ANOVA) Overview in Statistics
Переглядів 3,6 тис.3 роки тому
Analysis of Variance (ANOVA) Overview in Statistics
Computer Networking Complete Course - Basic to Advanced
Переглядів 641 тис.4 роки тому
Computer Networking Complete Course - Basic to Advanced
CompTIA A+ Full Video Course for Beginners
Переглядів 452 тис.4 роки тому
CompTIA A Full Video Course for Beginners
An Introduction to Reinforcement Learning
Переглядів 3 тис.4 роки тому
An Introduction to Reinforcement Learning
39:53
Can u do a full course for cal 2, 3, 4 and linear algebra
Amen🙏
Bacche aise ho toh kaam pe jaane ka mnn nahi karee ❤❤😊❤❤
This is Calc 2, not Calc 3.
Thanks from Malawi
Why do you insist on making x come forward let x go to the right always before and let y go onward into the page and let z go up. Xy is the same old plan view we've alway had like a piece Paper on the desk. What's with the clock wise rotation about z?
Not really from the 1960s, but 1971!
❤❤❤❤❤
Just started.. Will roll more than twice
5:22
If I could give a thousand likes I definitely would give this lecture . The lecture is so easy to understand and digest
You are an EXCELLENT teacher...Tx !
59.34 😮 i don't have a fucking idea.
how can i get these questions slides to write the answers manually to prepare for exam?
my bro do you really use terminal on light mode
Is this info enough for me to pass the exam?
Thanks
IZLEDIM
A gold mine! ❤❤❤
Looks like business accouting I've learnt.
Great talk! I think it is a must watch for anyone using SQLite and I wish the title reflected that better
Yet to start the course, Thanks in advance Sir! 🙏🙏
3 years ago, I just lost... today I create libSQL Driver for PHP. Dang! Thank you....
Thank you sir! These are so valuable to me.
And he deceives📖 the inhabitants of the earth by those signs that he had been granted to do in the sight of the beast, telling earth’s inhabitants to make an image📖 of the beast who had the wound caused by a sword, and yet lived. 15 📚And he was given power to give life to the image of the beast, so that the image of the beast would both speak📖 and cause all who would not worship the image of the beast to be killed.📖 16 📚📖And he caused everyone, small and great, rich and poor, free and slave, to receive a mark on their right hand or on their foreheads, 17 📚so that no one could buy or sell except he who had the mark, or the name of the beast, or the number of his name. Revelation 13
Please share pdf
Is this for b.com 2nd semester business statistics and mathematics
Thank you so much my good sir!!!
👍👍👍👍👍👍👍👍👍👍👊👊👊👊👊👊👊👊👊👊👏👏👏👏👏👏👏👏👏👏
Youd think in 2024 with people saying cyber crime will be a major threat in the coming years the government would offer some free classes for cyber security and offer government CS jobs after these classes.
This video is an essential piece of education.
can't you label chapters or secstions of this course ?
Does this cover the 601?
Will this be of any help for isc2 cc exam for an absolute beginner??
Hey thanks for this video, I am finally able to understand business math and follow along with my BA two plus calculator. Also I am from BCIT as well.
Can one apply for linus sys admin jobs after completing this course?
great course thanx
1:02:57 Links 1:06:47 Absolute vs Relative Path 1:08:56 File Systems 1:11:22 Partitions 1:20:15 Available File Systems
(0:00) Linux Client Administration - Linux Installation Overview (41:44) Linux Client Administration - Command Line Navigation (1:08:53) Linux Client Administration - File Systems (1:40:00) Linux Client Administration - People and Permissions (2:09:00) Linux Client Administration - Software Repositories (2:28:48) Linux Client Administration - Programs and Scripts (2:54:32) Linux Client Administration - Services and Firewalls (3:28:54) Linux Client Administration - Processes and Resources (4:07:10) Linux Client Administration - Kernel and Hardware (4:38:05) Linux Client Administration - Logs and Queues (4:59:00) Linux Server Administration - Linux Installation Overview (5:10:09) Linux Server Administration - Network File System (NFS) Overview (5:20:28) Linux Server Administration - Samba Overview (5:26:52) Linux Server Administration - Apache Web Server Overview (5:37:30) Linux Server Administration - Database Server Overview (5:45:03) Linux Server Administration - Secure Shell Server Overview (5:52:24) Linux Server Administration - Mail Servers (Postfix) Overview (6:04:08) Linux Server Administration - Dynamic Host Configuration Protocol (DHCP) Overview (06:14:12) Linux Server Administration - Domain Name System (DNS) Overview (6:33:08) Linux Server Administration - Simple Network Management Protocol (SNMP) Overview
MVP
Thankyou 🙏
It's actually just research and statistics with a business application... i didn't know what i was expecting 😂(mind you mi background is in psychology)
⭐ Contents ⭐ (0:00) Linux Client Administration - Linux Installation Overview (41:44) Linux Client Administration - Command Line Navigation (1:08:53) Linux Client Administration - File Systems (1:40:00) Linux Client Administration - People and Permissions (2:09:00) Linux Client Administration - Software Repositories (2:28:48) Linux Client Administration - Programs and Scripts (2:54:32) Linux Client Administration - Services and Firewalls (3:28:54) Linux Client Administration - Processes and Resources (4:07:10) Linux Client Administration - Kernel and Hardware (4:38:05) Linux Client Administration - Logs and Queues (4:59:00) Linux Server Administration - Linux Installation Overview (5:10:09) Linux Server Administration - Network File System (NFS) Overview (5:20:28) Linux Server Administration - Samba Overview (5:26:52) Linux Server Administration - Apache Web Server Overview (5:37:30) Linux Server Administration - Database Server Overview (5:45:03) Linux Server Administration - Secure Shell Server Overview (5:52:24) Linux Server Administration - Mail Servers (Postfix) Overview (6:04:08) Linux Server Administration - Dynamic Host Configuration Protocol (DHCP) Overview (06:14:12) Linux Server Administration - Domain Name System (DNS) Overview (6:33:08) Linux Server Administration - Simple Network Management Protocol (SNMP) Overview
PLEASE 📌 📌 📌 PIN THIS
I HAVE JUST FINISHED 4HR :10MIN ❤❤
En español sería genial❤❤❤
91024 Hypothesis tst
hey man became your fan a great explaination of momentum principle lots of love from india
Excellent.
It helps to use a virtual machine install to determine if your desired install setup is usable.
I heard windows runs as the administrator by default.
Windows is messy: try and upgrade windows without touching your data. If you forget the way your partition was set up, look at /etc/fstab under Linux.