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▶️ Intellipaat's Advanced Certification in Cyber Security Course: https://intellipaat.com/cyber-....security-eict-iit-gu
Welcome to our "Cyber Security Course" video, where we explore the basics of cyber security and why it's essential in today's digital world.
Cyber security is the practice of protecting computer systems, networks, and sensitive information from theft, damage, or unauthorized access. With the increasing reliance on technology and the internet, cyber-attacks have become a significant threat to individuals, businesses, and governments alike.
In this video, we'll cover the different types of cyber threats, including viruses, worms, trojans, and phishing scams. We'll also discuss the various techniques used to protect against these threats, such as firewalls, encryption, and intrusion detection systems.
You'll learn about the different roles and responsibilities within the field of cybersecurity, including security analysts, engineers, and administrators. We'll also highlight some of the key skills and qualifications needed to pursue a career in this exciting and fast-growing field.
By the end of this video, you'll have a better understanding of what cyber security is, why it's important, and how you can start taking steps to protect yourself and your digital assets. So, sit back, relax, and join us as we dive into the world of cyber security!
🔵 Intellipaat Training courses: https://intellipaat.com/
Intellipaat is a global online professional training provider. We offer some of the most updated, industry-designed certification training programs, including studies in Big Data, Data Science, Artificial Intelligence, and 150 other top-trending technologies.
We help professionals make the right career decisions, choose trainers with over a decade of industry experience, provide extensive hands-on projects, rigorously evaluate learner progress, and offer industry-recognized certifications. We also assist corporate clients to upskill their workforce and keep them in sync with the changing technology and digital landscape.
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👉Following topics are covered in this video:
00:00:00 - Introduction to CyberSecurity
00:07:26 - What is Cyber Security?
00:14:10 - Who is a Cyber Security Engineer?
00:16:20 - Skills required for Cyber Security?
00:18:32 - Learning Path: Cyber Security
00:30:16 - Introduction to Ethical Hacking
00:36:17 - Phases of Ethical Hacking
00:40:18 - Introduction to CEH
00:44:42 - Hacking Tutorial Configuration
00:48:39 - Footprinting with Nercraft
00:54:47 - What is Nmap?
01:08:46 - Network Enumeration with NetBIOS
01:19:47 - System Hacking with L0phtCrack
01:27:55 - ARP Poisoning with Cain & Able
01:34:59 - Phishing with SE Toolkit
01:40:36 - DDoS attack with H.O.I.C
01:48:02 - Session Hijacking with BetterCap
01:53:17 - Honeypotting with HoneyBOT
02:05:35 - What is Sql Injection?
02:28:42 - Creating a Trojan with njRAT
02:35:46 - Principles of Security (CIA)
04:05:42 - Memory
04:08:07 - Security Modes
04:24:38 - Cloud Computing - Shared Security
04:30:21 - Block Ciphers
04:41:21 - Hashing
06:24:42 - Firewalls
07:19:55 - Passwords
09:33:58 - Testing
10:03:19 - Programming Languages
10:47:24 - Interview Questions
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5. Industry-Oriented Courseware
6. Life time free Course Upgrade
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🔥 Post Graduate Diploma in Artificial Intelligence by E&ICT Academy
NIT Warangal: https://www.edureka.co/executi....ve-programs/machine-
This Edureka video on "Data Science and Machine Learning for Non-programmers" is a part of the Data Science for Beginners Tutorial Series which is specifically dedicated to non-IT professionals who are trying to make a career in Data Science and Machine Learning in 2021 without the experience of working on programming languages. Here’s a list of topics that are covered in this Data Science for Beginners session:
00:00 Introduction to Data Science for Beginners Tutorial
01:20 Introduction to Data Science and Machine Learning
04:17 Data Science and Machine Learning Domains
08:11 Questions Every Non-Programmer Has
13:02 Data Science and Machine Learning Tools For Non-Programmers
----------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐭𝐡𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠𝐬-----------
🔵Python Programming Certification: http://bit.ly/37rEsnA
🔵Python Certification Training for Data Science: http://bit.ly/2Gj6fux
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🔵Data Scientist Masters Program: http://bit.ly/2t1snGM
🔵Machine Learning Engineer Masters Program: https://bit.ly/3Hi1sXN
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🌕Post Graduate Diploma in Artificial Intelligence Course offered by E&ICT Academy
NIT Warangal: https://bit.ly/3qdRRdw
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#Edureka #DataScienceEdureka #MachineLearningEdureka #DataScience #Machinelearning #nonprogrammers #datasciencetutorialforbeginners
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About the Data Science Masters Program
Data Science Masters Program makes you proficient in tools and systems used by Data Science Professionals. It includes training on Statistics, Data Science, Python, Apache Spark & Scala, Tensorflow and Tableau. The curriculum has been determined by extensive research on 5000+ job descriptions across the globe.
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Why Learn Data Science?
It’s been said that Data Scientist is the “Sexiest Job of the 21st century”. Why? Because over the past few years, companies have been storing their data. And this being done by each and every company, it has suddenly led to data explosion. Data has become the most abundant thing today. Data Science is also known as data driven science, which makes use of scientific methods, processes and systems to extract knowledge or insights from data in various forms, i.e either structured or unstructured.
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Edureka's Data Science Masters Program Curriculum
🟠 Live Courses 🟠
Data Science Certification Course using R: https://www.edureka.co/data-sc....ience-r-programming-
Python Certification Training for Data Science: https://www.edureka.co/data-sc....ience-python-certifi
Apache Spark and Scala Certification Training: https://www.edureka.co/apache-....spark-scala-certific
Deep Learning with TensorFlow 2.0 Certification Training: https://www.edureka.co/ai-deep....-learning-with-tenso
Tableau Training and Certification: https://www.edureka.co/tableau....-certification-train
🟠 Self Paced Course 🟠
Python Statistics for Data Science Course
R Statistics for Data Science Course
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Prerequisites
There are no prerequisites for enrollment to the Masters Program. However, as a goodwill gesture, Edureka offers a complimentary self-paced course in your LMS on SQL Essentials to brush up on your SQL Skills. This program is designed and developed for an aspirant planning to build a career in Machine Learning or an experienced professional working in the IT industry.
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Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information
🔥Edureka's Data Science Training: https://www.edureka.co/data-sc....ience-python-certifi
This Edureka video on 'Support Vector Machine Tutorial For Beginners' covers A brief introduction to Support Vector Machine in Python with a use case to implement SVM using Python.
Topics covered in this session:
00:00:00 Introduction
00:00:25 Agenda
00:01:35 What is Machine Learning
00:13:47 Introduction to Classification
00:17:28 Classification Algorithms
00:18:30 What is Naïve Bayes
00:31:36 Mathematical Working of Naïve Bayes
00:39:24 Example
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-------Edureka Masters Programs----------
🔵DevOps Engineer Masters Program: https://bit.ly/2B9tZCp
🟣Cloud Architect Masters Program: https://bit.ly/3i9z0eJ
🔵Data Scientist Masters Program: https://bit.ly/2YHaolS
🟣Big Data Architect Masters Program: https://bit.ly/31qrOVv
🔵Machine Learning Engineer Masters Program: https://bit.ly/388NXJi
🟣Business Intelligence Masters Program: https://bit.ly/2BPLtn2
🔵Python Developer Masters Program: https://bit.ly/2Vn7tgb
🟣RPA Developer Masters Program: https://bit.ly/3eHwPNf
-----------Edureka PGP Courses----------
🔵Artificial and Machine Learning PGP: https://bit.ly/2Ziy7b1
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#edureka #datascienceedureka #SupportVectorMachine #SVM #DataScience #MachineLearning #MachineLearningTraining #learnMachineLearning #withme
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About the Course :
Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.
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Why Learn Machine Learning with Python?
Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.
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Who should go for this Course?
Edureka’s Python Machine Learning Certification Course is a good fit for the below professionals:
Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'Python' professionals who want to design automatic predictive models
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Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
Grokking Machine Learning Book: https://www.manning.com/books/....grokking-machine-lea
40% discount promo code: serranoyt
A friendly introduction to the main algorithms of Machine Learning with examples.
No previous knowledge required.
What is Machine Learning: (0:05)
Linear Regression: (2:25)
Gradient Descent: (4:10)
Naive Bayes: (6:20)
Decision Trees: (10:35)
Logistic Regression: (13:20)
Neural networks: (17:00)
Support Vector Machines: (18:50)
Kernel trick: (20:05)
K-Means clustering: (26:00)
Hierarchical Clustering: (28:30)
Summary: (29:40)
(Thanks to Nick Kartha for breaking down the topics!)
If you like this, there's an extended version in this playlist:
https://www.youtube.com/playli....st?list=PLAwxTw4SYaP
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