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In this video, we are going to discuss *Machine Learning Roadmap 2023* which contains topics to be covered for a machine learning engineer, what is the role of a machine learning engineer, and the salary of a machine learning engineer which will help you to understand the steps you need to take up to become Machine Learning Engineer.

✅ 00:00 - Machine Learning Roadmap 2023

✅ 00:35 - What is Machine Learning?
This phase of the video contains the definition of machine learning.

✅ 01:07 - Computer Science for Machine Learning
This part of the video contains the role of computer science for a machine learning engineer.

✅ 01:30 - Programming languages and algorithms for Machine Learning
This part of the video has details about the programming language needed for a machine learning engineer.

✅02:58 - Mathematics and Statistics
This phase of the video is given why the fundamentals of maths and statistics are needed for a machine learning engineer.

✅03:30 - Conclusion

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#MachineLearningRoadmap #MachineLearningRoadmap2023 #MLRoadmap2023 #MLEngineer #MachineLearningEngineerSkills #HowToBecomeAMachineLearningEngineer #MachineLearning #ML #2023 #ML2023 #MLTutorial #SimplilearnMachineLearning #Simplilearn

Machine learning, in general, is a branch of artificial intelligence that uses data patterns to generate judgments or predictions. It allows computers to adapt to repeating processes and results based on past performance without requiring them to be explicitly programmed in advance, as with standard algorithms.

In simple English, it basically allows robots to learn from, predict, and adjust to prior behavior. It is a method of generating artificial intelligence without needing to predetermine all the guidelines and procedures. Now that we have learned the basics of machine learning, it's time to focus on subjects that will help you to become a machine learning expert.

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A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning.

What skills will you learn from this Machine Learning course?

By the end of this Machine Learning course, you will be able to:
1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling.
2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems

👉Learn more at: https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course?utm_campaign=MachineLearningRoadmapFor2023&utm_medium=Description&utm_source=youtube
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🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝 𝐄𝐭𝐡𝐢𝐜𝐚𝐥 𝐇𝐚𝐜𝐤𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 - 𝐂𝐄𝐇 𝐯𝟏𝟏 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/ceh-eth....ical-hacking-certifi (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka "Ethical Hacking Tutorial" video will give you an introduction to Ethical Hacking. This video will give you an exhaustive video on key topics of Ethical Hacking for beginners! The video includes the following topics
00:00:00 Introduction
00:01:25 What is Ethical Hacking
00:03:38 Goals of Ethical Hacking
00:04:17 Why Ethical Hacking is Important
00:05:57 What is a Security Threat
00:07:00 Types of Security Threats
00:08:39 Security Threats: Preventive Measures
00:10:24 Ethical Hacker Skills
00:13:13 Why Learn Programming
00:14:43 Ethical Hacking Tools
00:19:44 What is Social Engineering
00:21:13 Phases of Social Engineering
00:22:53 Social Engineering Techniques
00:27:04 Cryptography
00:28:34 Cryptanalysis
00:29:00 Cryptanalysis Techniques
00:29:47 Standard Cryptographic Algorithms
00:31:33 RC4 Decryption Demonstration

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/power-b....i-certification-trai (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka tutorial takes you through Microsoft’s Power BI package of software tools for interactive data visualizations and shows you just how easy it is to create your own online dashboard from comprehensive data reports with its self-service BI application interfaces.

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

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📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
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In this video series I am going to go through the exercises in the Freecodecamp's curriculum, for JavaScript Algorithms and Data Structures:
https://bit.ly/3hCCTbW

Freecodecamp: https://www.freecodecamp.org/l....earn/javascript-algo

In this video, we take a look at the Celestial Bodies Database project, created as part of the FreeCodeCamp curriculum. This project involves building a database to store information about various celestial bodies, including planets, moons, and stars. We'll be using HTML, CSS, and JavaScript to build a user-friendly interface, allowing users to easily search, view and add information to the database. Join us as we delve into the world of space and explore the wonders of the universe with this exciting project!

Connect on LinkedIn: https://www.linkedin.com/in/la....ndon-schlangen-a3989

Timestamps:
00:00 Instructions
05:58 Creating Tables
27:07 Inserting Data
38:30 Fixing a few tables
40:46 Exporting the database
46:46 Running and fixing tests
53:20 Submitting the project

NVIDIA and WPP are building a groundbreaking generative AI-enabled content engine to transform the $700 billion digital advertising industry. Built on NVIDIA AI and Omniverse, this engine gives brands the ability to build and deploy highly-personalized and compelling visual content faster and more efficiently than ever before.

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In this Business Analytics and Business Intelligence full course video, we’ll look at what is Business Intelligence, who is a Business Intelligence expert, and various BI tools used. We will look at each tool in detail.

Dataset Links:
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https://drive.google.com/drive..../folders/18BFipLUm5p

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⏩ Check out the Business Analytics tutorial videos: https://bit.ly/3hQFfDP

#BusinessIntelligence #BusinessIntelligenceTutorial #BusinessIntelligenceCourse #BusinessIntelligenceTools #BusinessAnalytics #BusinessAnalyticsCourse #2022 #Simplilearn

Who Is A Business Analyst?
A business analyst understands the business problems and identifies the solutions that will maximize the organization's value to its stakeholders. A business analyst is an individual who works closely with the technology team to improve the quality of the services being delivered. They ensure the customer needs are correctly interpreted and translated into application. They possess programming, SQL, and business intelligence skills to deliver data-driven solutions.

Post Graduate Program in Business Analysis:
Get your business analysis career started with our Post Graduate Program in Business Analysis, in partnership with Purdue University. This business analysis certification program helps you build extensive business expertise with real-world projects and prepares you for the business analyst role. This Post Graduate Program in Business Analysis will help you master business analysis techniques, Agile Scrum methodologies, SQL database, and visualization tools, including Excel, Power BI, and Tableau. You will learn about business analysis planning and monitoring, build interactive dashboards and understand the competencies of a Business Analyst.

Program Details:
Jumpstart your career as a Business Analysis Professional with this comprehensive curriculum covering the concepts of business analysis tools and techniques, statistics fundamentals, interaction with databases using SQL, and data visualization using excel, Power BI, and Tableau.

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✅ Case Studies from Harvard Business Publishing Education
✅ Obtain 35 IIBA PDs/CDUs and 25 PMI PDUs
✅ 170+ hours of Applied Learning
✅ 11+ hands-on projects
✅ Capstone project in 3 domains

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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/python-....programming-certific
This Edureka video on Advanced Python tutorial covers all the important aspects of using Python for advanced use cases and purposes. It establishes all of the concepts like system programming, shell programming, pipes, and forking to show how wide of a spectrum Python offers to the developers.
00:00:00 Introduction
00:1:09 Introduction To Advanced Python
00:1:51 What Is Advanced Python
00:04:46 Command-Line Arguments
00:6:13 Changing Output Behaviour
00:07:19 Standard Data Streams
00:08:43 Redirections
00:10:20 Variables & Constants In Sys Module
00:11:37 Python And Shell
00:12:55 System Programming
00:14:18 The 'os' Module
00:16:34 Fork In Python
00:19:38 The exec() Functions
00:20:21 What Is A Thread?
00:23:30 The Thread Module
00:27:15 Threading Module
00:27:52 What Are Pipes
00:29:00 Pipes - A Classic Example
00:31:23 Named Pipes
00:32:18 Conclusion

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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we'll walk through the process of using the OpenAI Chat API to build a chatbot or conversational AI application. We'll cover everything you need to know, including how to sign up for an API key, how to send and receive messages, and how to customize your chatbot's behavior. By the end of this video, you'll have a solid understanding of how to use the OpenAI Chat API to build your own chatbot projects.

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For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3Cbr1GI

Professor Christopher Manning & Guest Speaker Kevin Clark, Stanford University
http://onlinehub.stanford.edu/

Professor Christopher Manning
Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science
Director, Stanford Artificial Intelligence Laboratory (SAIL)

To follow along with the course schedule and syllabus, visit: http://web.stanford.edu/class/....cs224n/index.html#sc

0:00 Introduction
0:56 Deep Learning for NLP 5 years ago
1:34 Future of Deep Learning + NLP
3:32 Why has deep learning been so successful recently?
5:03 Big deep learning successes
6:20 NLP Datasets
8:12 Machine Translation Data
9:54 Pre-Training
12:10 Self-Training
18:27 Large-Scale Back-Translation
20:03 Unsupervised Word Translation
27:43 Unsupervised Neural Machine Translation
31:14 Why Does This Work?
33:46 Unsupervised Machine Translation
34:49 Attribute Transfer
38:10 Cross-Lingual BERT
43:03 Huge Models in Computer Vision
44:29 Training Huge Models
47:41 So What Can GPT-2 Do?
50:04 GPT-2 Results
51:16 How can GPT-2 be doing translation?
52:12 GPT-2 Question Answering
53:31 What happens as models get even bigger?
54:24 GPT-2 Reaction
59:26 High-Impact Decisions

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This Edureka React tutorial on ES5 to ES6 Refactoring will help you understand the current syntax being used in React and what new features you can use in the upgraded version. This video helps you to learn the following topics:
00:00:00 Introduction
00:00:30 Agenda
00:01:45 Introduction to React components
00:02:45 Component Structure using ES5
00:03:46 Rendering a Component
00:05.48 Component Structure in Facebook
00:06:27 Component Structure using ES5
00:08:00 Pros and Cons of ES5 Syntax
00:09:02 Building Our Application
00:09:55 React Components using ES5 Code example
00:17:12 Benefits of ES6
00:19:38 Advantages of ES6
00:24:50 ES5 vs ES6
00:29:19 ES6 restructuring of code example
00:31:26 Building Tic Tac Toe game in React using ES6

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Become a GPT text generation expert with our comprehensive 3-part video series. Learn how to build, train, and test your own GPT model, and gain insights into GPT-2 architecture, tokenization, and training processes that will elevate your language model projects.

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This video on Python will take you through all the basics and advanced concepts present in Python programming language. You will learn about data types, variables, lists, tuples, dictionaries, and a lot more. You will understand how to use decision-making statements and loops in Python. You will get an idea about creating user-defined functions and learn the various object-oriented programming concepts along with threading and Python scripting. Then, you will learn the various machine learning libraries available in Python, which includes NumPy, Pandas, Matplotlib, Scikit-Learn. Finally, you will come across a few important interview questions that you could face in any Python interview. Now, let's dive into learning Python in detail.

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Below topics are explained in this Python tutorial:
Introduction (0:00)
Python installation in Windows 10 (00:33)
Jupyter Notebook tutorial (04:02)
Python Variables (22:42)
Python Numbers tutorial (47:00)
Python Tuples tutorial (1:19:11)
Strings in Python (01:39:41)
Python Sets & Dictionaries (02:01:57)
Python if,else statements (02:20:24)
Python Loops tutorial (02:32:48)
For Loop in Python (02:54:49)
While Loop in Python (03:13:57)
Arrays in Python (03:44:20)
Functions in Python (03:57:20)
Python Objects & Classes (04:12:48)
Python Threading (04:49:08)
Python scripting for beginners (05:03:18)
Top 5 Python libraries (05:27:11)
NumPy tutorial (05:42:55)
Python Pandas (06:12:59)
MatplotLib tutorial (06:58:18)
Scikit-Learn tutorial (07:50:09)
Web scraping using Python (08:33:43)
How to become a Python developer (09:11:41)
Python interview questions and answers (09:21:08)

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Skills covered:
1. Data analytics
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5. Linear and logistic regression modules
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This RPA UiPath full course will help you understand what RPA is, and the working of UiPath. UiPath is an advanced RPA tool that enables you to design automation processes visually through diagrams. If you wish to become a UiPath developer, then you're in the right place!

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The following are the topics covered in this video -
0:00 - RPA UiPath Full course
0:02:12 - What is RPA?
0:08:43 - Top 10 Reasons to learn RPA
00:15:45 - RPA Examples
00:26:25 - Blueprism vs UiPath vs Automation Anywhere
00:36:46 - What is UiPath?
00:59:36 - UiPath Installation
1:04:37 - UiPath Tutorial
1:38:29 - What is UiPath Orchestrator
2:01:30 - What is a Framework and its purpose?
2:19:55 - What is Web Automation?
2:43:07 - What is Excel Automation?
2:56:48 - Who is an RPA developer?
3:03:48 - UiPath Interview Questions

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What is UiPath?
UiPath is an advanced RPA tool that enables you to design automation processes visually through diagrams. UiPath provides complete end-to-end automation, calling it “hyper-automation.”

About Simplilearn Robotic Process Automation (RPA) course:
If you want to expand your expertise in advanced intelligent applications, then this Introduction to Robotic Process Automation (RPA) course will put you on the fast track. RPA is one of the hottest and fastest-growing technologies for improving real-time business operations and processes. This course will give you an overview of RPA concepts, the value-add it brings with relevant business use cases and tools understanding.

What are the benefits of this course?
Robotic Process Automation (RPA) is a technology that automates huge quantities of redundant tasks by applying artificial intelligence (AI). RPA can be used for processing transactions, manipulating data, triggering responses, and communicating with other digital systems. RPA has applications in a plethora of industries including insurance claims processing, invoice processing, customer feedback analysis, onboarding of employees, HR operations, and much more. More on the RPA market:
- The global market for RPA software and services is expected to grow to $1.2 billion by 2021 at a compound annual growth rate of 36 percent.
- One wine producer increased its order accuracy from 98% to 99.7% while reducing costs There are 3000+ RPA job postings in India and the US.

What are the course objectives?
The primary objective of this Introduction to RPA training course is to give you a glimpse into the bright and exciting future of Robotic Process Automation and to give you an overview of the fundamental methodologies and tools that will help you employ RPA on the job. You’ll learn the key RPA tools and workflows used in intelligent automation, steps for implementing RPA in your enterprise, and case studies that will provide innovative best practices.

Upon successful completion of our Introduction to Robotics Process Automation online training course, you will gain a fair understanding of RPA and related business applications. By the end of the course, you will be able to understand-
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4. Organization and management of a real-life workflow automation project

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In this video on" What is Generative Ai" we dive into the exciting realm of Generative AI, a cutting-edge field at the intersection of artificial intelligence and creativity. Join us on a journey to understand the underlying principles and techniques behind Generative AI. We'll explore Generative AI, how Generative AI works, Use cases of Generative AI, and the advantages & disadvantages of Generative AI. Below are the topics covered in this Introduction to Generative AI Video.

00:00 What is Generative AI
01:34 How does Generative AI work?
02:28 Generative AI applications
04:45 Use Cases of Generative AI
06:14 Advantages of Generative AI
08:17 Limitations of Generative AI

Generative AI, a form of artificial intelligence, possesses the capability to generate a wide range of content, including text, visuals, audio, and synthetic data. The recent excitement surrounding generative AI stems from the user-friendly interfaces that allow users to effortlessly create high-quality text, graphics, and videos within seconds.

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✅ AI ML Course Overview

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

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- Post Graduate Program certificate and Alumni Association membership
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- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

✅ Skills Covered

- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- GANs

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