** AI & Deep Learning Using TensorFlow - https://www.edureka.co/ai-deep....-learning-with-tenso **
This Edureka video will provide you with a detailed and comprehensive knowledge of TensorFlow Object detection and how it works. It will also provide you with the details on how to use Tensorflow to detect objects in deep learning method.

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---------------------------------------Edureka Post Graduate Courses-------------------------------------------

🔵 Artificial and Machine Learning PGD: https://bit.ly/3AylL0q

- - - - - - - - - - - - - -

How it Works?

1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!

- - - - - - - - - - - - - -

About the Course

Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.

Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.

- - - - - - - - - - - - - -

Who should go for this course?

The following professionals can go for this course:

1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts
3. Business Analysts who want to understand Deep Learning (ML) Techniques
4. Information Architects who want to gain expertise in Predictive Analytics
5. Professionals who want to captivate and analyze Big Data
6. Analysts wanting to understand Data Science methodologies

However, Deep learning is not just focused to one particular industry or skill set, it can be used by anyone to enhance their portfolio.

- - - - - - - - - - - - - -

Why Learn Deep Learning With TensorFlow?

TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.

Machine learning is one of the fastest-growing and most exciting fields out there, and Deep Learning represents its true bleeding edge. Deep learning is primarily a study of multi-layered neural networks, spanning over a vast range of model architectures. Traditional neural networks relied on shallow nets, composed of one input, one hidden layer and one output layer. Deep-learning networks are distinguished from these ordinary neural networks having more hidden layers, or so-called more depth. These kinds of nets are capable of discovering hidden structures within unlabeled and unstructured data (i.e. images, sound, and text), which constitutes the vast majority of data in the world.

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🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞 (Use code: "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/data-sc....ience-certification-
This Edureka "Statistics For Data Science" video will introduce you to the concepts of statistics using Data Science. You will learn about Descriptive and Inferential statistics in detail with a demo. The following topics are covered in this Statistics for Data Science tutorial:

00:00:00 Introduction
00:00:26 Agenda
00:01:05 Introduction to statistics
00:01:42 Terminology
00:03:57 Categories in Statistics
00:04:18 Descriptive Statistics and Inferential statistics
00:05:17 Descriptive Statistics - USE case
00:11:19 Statistics in R
00:12:51 Hands-on

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🌕 Python Developer Masters Program: https://bit.ly/3EV6kDv
🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH

🔴𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🌕 Professional Certificate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🌕 Artificial and Machine Learning PGD with E&ICT Academy
NIT Warangal: http://bit.ly/3OuZ3xs

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
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📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌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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#statistics #statisticsfordatascience #datascience #edureka

Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐌𝐏® 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 : https://www.edureka.co/pmp-cer....tification-exam-trai (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka tutorial on Top 30 Project Manager Interview Questions will give you some important questions that will help you ace your interview at the first attempt.

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
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🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv
🌕 RPA Developer Masters Program: http://bit.ly/3OteYfP
🔵 Web Development Masters Program: http://bit.ly/3U9R5va
🌕 Computer Science Bootcamp Program : http://bit.ly/3UZxPBy
🔵 Cyber Security Masters Program: http://bit.ly/3U25rNR
🌕 Full Stack Developer Masters Program: http://bit.ly/3tWCE2S
🔵 Automation Testing Engineer Masters Program: http://bit.ly/3AGXg2J
🌕 Python Developer Masters Program: https://bit.ly/3EV6kDv
🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH

🔴𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🌕 Professional Certificate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🌕 Artificial and Machine Learning PGD with E&ICT Academy
NIT Warangal: http://bit.ly/3OuZ3xs

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌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/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/



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freeCodeCamp tutorial

In this lesson, we learn how to how a return statements ends the current function.

Let's Connect 💯:
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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐎𝐩𝐬 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/devops-....certification-traini (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This CI CD Pipeline video explains the concepts of Continuous Integration, Continuous Delivery & Deployment, its benefits, and its Tools.

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📝Feel free to share your list of the top 10 trending technologies to learn in 2023 in the comments below.📝

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv
🌕 RPA Developer Masters Program: http://bit.ly/3OteYfP
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🌕 Computer Science Bootcamp Program : http://bit.ly/3UZxPBy
🔵 Cyber Security Masters Program: http://bit.ly/3U25rNR
🌕 Full Stack Developer Masters Program: http://bit.ly/3tWCE2S
🔵 Automation Testing Engineer Masters Program: http://bit.ly/3AGXg2J
🌕 Python Developer Masters Program: https://bit.ly/3EV6kDv
🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH

🔴𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🌕 Professional Certificate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🌕 Artificial and Machine Learning PGD with E&ICT Academy
NIT Warangal: http://bit.ly/3OuZ3xs

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
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📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌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/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

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This video by Simplilearn will list 5 Free Life Changing Certification Courses That You Should Enroll Now ! 🔥🔥
Certifications serve as evidence that you are qualified in a particular field, boosting a resume's value and aiding in landing a good career. A skill-up certification course from Simplilearn can open many doors for you if you are a graduate student or a beginner looking for a job in the IT industry. It may provide you with the technical skills you need to advance your career and earn lucrative pay packages.

✅ 00:00 - 5 Free Life-Changing Certification Courses
✅ 00:48 - DevOps course
✅ 01:41 - Cyber Security Course
✅ 02:35 - Digital Marketing Course
✅ 03:21 - AI and Machine Learning Courses
✅ 04:14 - Data Science Courses

✅ Free DevOps Course
DevOps is a method for automating and integrating software development (Dev) and IT operations (Ops), allowing teams to produce, test, and deliver products more quickly.

✅ Free Cyber Security Course
Businesses are currently looking for cybersecurity experts with the required training to counter cyber threats. Data is of utmost importance today, causing industries like defense, technology, and healthcare to adopt cybersecurity.

✅ Free Digital Marketing Course
Digital marketing can be used by people and business to build their brand online and market their products. High earning sectors like healthcare and entertainment are already using digital marketing to maximize their profits.

✅ Free AI and Machine Learning Courses
Machine learning has expanded dramatically with every organization moving towards digital operations, and they are all considering using machine learning algorithms to automate tasks that frequently required manual labor, reducing workload and boosting productivity.

✅ Free Data Science Courses
Data science can extract useful data from huge amounts of information using the right tools and methods. A data scientist's daily tasks include gathering, analyzing, and interpreting data to assist organizations in achieving their objectives.

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This Python programming full course video will cover all the basics to advanced concepts of Python programming starting with fundamentals of Python, Python Programming Concepts like Data types, Variables, Conditional Statements, Strings, operators, lists, tuples and dictionaries. Not just that, this Python Tutorial for beginners 2022 will also dive into the most crucial programming paradigms that involve the Advanced python programming with oops concepts, exception handling, file handling, sorting techniques and much more. Moreover you will have Web Scraping as hands on demo project.

In this Python Full Course 2022, we start with:

00:04:40 Introduction
00:34:06 Python Installation
00:43:44 First Python Program
00:58:38 Variables and Expressions in Python
01:08:07 Objects in Python
01:12:43 Type conversion in Python
01:21:48 Strings in Python
01:36:26 Escape sequence in Python
01:39:51 Lists in Python
01:54:00 Tuples in python
01:59:29 Dictionaries in Python
02:16:40 Arithmetic operations in Python
02:28:10 Math Function in Python
02:52:25 Conditional Statements in Python
03:06:40 While Loop in Python
03:21:32 Python while loop project
03:34:32 For Loop in Python
03:47:30 If statements in Python
03:53:42 File Handling in Python
04:05:58 Object-oriented programming concepts
04:39:50 Polymorphism in Python
05:52:39 List Comprehension in Python
07:15:54 Word Count in Python project
07:00:45 Map Function in Python, Filter Function in Python, and Reduce Function in Python
07:35:47 Web Scraping in Python Project
08:13:38 Python projects tips and tricks
09:01:16 Python Interview Questions

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What is Python?
Python is a high-level object-oriented programming language developed by Guido van Rossum in 1989 and was first released in 1991. Python is often called a battery-included language due to its comprehensive standard library. A fun fact about Python is that The name Python was actually taken from the popular BBC comedy show of that time, "Monty Python's Flying Circus". Python is widely used these days in data analytics, machine learning, and web development. Python allows you to write programs in fewer lines of code than most programming languages. Python as a programming language is growing rapidly. It's the right time to get trained in Python.

➡️ Advanced Certificate Program In Data Science
This Advanced Certificate Program in Data Science is designed for working professionals & covers job-critical topics like R, Python, Machine Learning techniques, NLP notions,& Data Visualization with Tableau, using an active learning model that includes live sessions from global professionals, practical labs, IBM Hackathons, corporate ready projects.

✅ Key features:
- Advanced-Data Science certificate and Purdue alumni association membership
- 3 Capstone and 25+ Projects with industry data sets from Amazon, Uber, Walmart, Comcast, and many more
- Masterclasses delivered by Purdue faculty and IBM experts
- Exclusive hackathons and Ask Me Anything sessions by IBM
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars
- 8X higher engagement in live online classes by seasoned academics and industry professionals

✅ Skills covered:-
- Exploratory Data Analysis
- Descriptive Statistics
- Inferential Statistics
- Model building and fine-tuning
- Supervised and unsupervised learning
- Natural Language Processing
- Ensemble Learning

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This DevOps tools full course will help you learn DevOps concepts, and DevOps tools with examples and demos starting from basics to advanced. It will cover different DevOps tools like Git, Ansible, Selenium, Docker, Chef, Puppet, Kubernetes and Gradle.

🔥FREE DevOps Course: https://www.simplilearn.com/learn-devops-basics-skillup?utm_campaign=DevOpsToolsFullCourse07July22&utm_medium=DescriptionFirstFold&utm_source=youtube

Below are the topics covered in this video:
What is DevOps
Why DevOps
DevOps Phases
What is Git?
What is GitHub?
Git Commands
What is Jenkins
Jenkins Pipeline
Jenkins Installation
What is Docker?
Docker Installation
What is Docker Container?
What is Kubernetes?
Kubernetes Vs. Docker
Kubernetes on AWS
What is Puppet?
Why Puppet?
Puppet Installation
Ansible Installation
What is Ansible?
Benefits of Ansible
What is Selenium
Selenium suite of tools
Selenium Installation
DevOps Interview Questions

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About Simplilearn DevOps Training Course:
Simplilearn's DevOps Certification Training Course will prepare you for a career in DevOps, the fast-growing field that bridges the gap between software developers and operations. You’ll become an expert in the principles of continuous development and deployment, automation of configuration management, inter-team collaboration, and IT service agility, using modern DevOps tools such as Git, Docker, Jenkins, Puppet, and Nagios. DevOps jobs are highly paid and in great demand, so start on your path today.

Why learn DevOps?
Simplilearn’s DevOps training course is designed to help you become a DevOps practitioner and apply the latest in DevOps methodology to automate your software development lifecycle right out of the class. You will master configuration management; continuous integration deployment, delivery, and monitoring using DevOps tools such as Git, Docker, Jenkins, Puppet, and Nagios in a practical, hands-on and interactive approach. The DevOps training course focuses heavily on the use of Docker containers, a technology that is revolutionizing the way apps are deployed in the cloud today and is a critical skillset to master in the cloud age.

After completing the DevOps training course you will achieve hands-on expertise in various aspects of the DevOps delivery model. The practical learning outcomes of this DevOps training course are:
An understanding of DevOps and the modern DevOps toolsets
The ability to automate all aspects of a modern code delivery and deployment pipeline using:
1. Source code management tools
2. Build tools
3. Test automation tools
4. Containerization through Docker
5. Configuration management tools
6. Monitoring tools

Who should take this course?
DevOps career opportunities are thriving worldwide. DevOps was featured as one of the 11 best jobs in America for 2017, according to CBS News, and data from Payscale.com shows that DevOps Managers earn as much as $122,234 per year, with DevOps engineers making as much as $151,461. DevOps jobs are the third-highest tech role ranked by employer demand on Indeed.com but have the second-highest talent deficit.
1. This DevOps training course will be of benefit to the following professional roles:
2. Software Developers
3. Technical Project Managers
4. Architects
5. Operations Support
6. Deployment engineers
7. IT managers
8. Development managers

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This video," Data Analyst Interview Questions And Answers" by Simplilearn, will take you through the most frequently asked Data Analytics Interview Questions. Data analysis is one of the trending jobs of the 21st century. This video covers all the important questions that would help you crack a data analyst interview. It has a set of basic questions related to the data analytics field. It also has a collection of beginner, intermediate and advanced-level questions based on MS Excel, SQL, Tableau, and Python. It would enrich your theoretical and practical knowledge of data analytics. What you will learn
0:00 Data Analyst Interview Questions And Answers
00:34 What is the difference between Data Mining and Data Profiling?
01:38 Define the term Data Wrangling
02:40 What are the common problems that data analysts encounter during analysis?
03:09 What are the various steps involved in any analytics project?
04:03 Which technical tools have you used for analysis and presentation purposes?
04:50 What are the best practices for data cleaning?
05:34 How can you handle missing values in a dataset?
06:54 Define normal Distribution
07:39 What is Time Series analysis?
08:31 How is joining different from blending in Tableau?
09:16 How is overfitting different from underfitting?
10:01 In MS Excel, A numeric Value can be treated as text value if it precedes with
10:29 What is the difference between COUNT, COUNTA, COUNTBLANK and COUNTIF in Excel?
11:29 Explain how VLOOKUP works in Excel?
13:21 How do you subset or filter data in SQL?
15:39 What is the difference between WHERE and HAVING clause in SQL?
17:58 Write the Python code to create an employees dataframe and display the head and summary of it.
18:46 How will you select the Department and Age columns from an Employees dataframe?
19:22 What is the criteria to say whether a developed data model is good or not?
20:08 What is the significance of Exploratory data analysis?
21:09 Explain descriptive, predictive, and prescriptive analytics.
23:01 What are the different types of sampling techniques used by data analysts?
24:45 What are the different types of Hypothesis testing?
25:42 Describe univariate, bivariate, and multivariate analysis.
29:56 write a SQL query to find the record with fourth highest market price
30:52 find the total and average market price for each currency
33:36 Create a dual axis chart in Tableau to present Sales
34:36 Design a view in Tableau to show State wise Sales
40:39 How do you write a stored procedure in SQL?
43:01 What is the difference between Tree maps and Heat maps in Tableau

⏩ Check out the Data Analytics Playlist: link: https://bit.ly/2SbDfuY

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✅ About Data Analyst Master's Program

This Data Analytics course in collaboration with IBM makes you a Data Analytics expert. Our Data Analyst course helps you learn analytics tools and techniques, how to work with SQL databases, R and Python, how to create data visualizations and apply statistics and predictive analytics in a business environment. This Data Analytics certification also features Masterclasses from IBM experts.

✅ Why become a Data Analyst?

The World Economic Forum predicts that, by 2025, Data Analysts will be one of the hottest jobs on the market. Organizations view data analysis as one of the most crucial skills due to the value that they can help derive from data. With over 2.5 quintillion bytes of data created each day, data is more abundant and accessible than ever in today’s business environment, and with the ever-increasing skill gap in data analytics today, the value of Data Analysts is continuing to grow, creating new jobs, and career advancement opportunities.

✅ Tools Covered

- Microsoft Excel
- Tableau
- NumPy
- Pandas
- SciPi
- Power BI
- R Programming
- MySQL

👉Learn more at: https://www.simplilearn.com/data-analyst-masters-certification-training-course#why-become-a-data-analyst?utm_campaign=DataAnalytics&utm_medium=Description&utm_source=youtube
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This video is based on the Advanced Excel Tutorial for 2022. This Advanced Excel Course will cover the major fundamentals of Excel and its Advanced Excel concepts as well. This updated tutorial is dedicatedly designed and organized to help both beginners and experienced to update and enhance their advanced excel skill set.

The video covers the following topics

00:00 Introduction to Advanced Excel Tutorial for 2022

This part of the Advanced Excel Tutorial for 2022 covers a basic introduction to all the Advanced excel Topics Covered on the session

01:45 Excel Basic Knowledge

This part of the Advanced Excel Tutorial for 2022 will cover the Excel fundamentals for beginners

18:27 Goal Seek In Excel

This part of the Advanced Excel Tutorial for 2022 will explain the goal seek formulas and methods

23:03 Excel Lookup Tutorial

This part of the Advanced Excel Tutorial for 2022 will cover the VLookUp, HLookUp, and XLookUp in Excel

1:03:23 Slicers In Excel

This part of the Advanced Excel Tutorial for 2022 will cover the Slicers in Excel concepts and implementation

1:07:46 Excel Budget Template

This part of the Advanced Excel Tutorial for 2022 will help you create a Budget worksheet for your needs

1:14:50 Excel MIS Report

This part of the Advanced Excel Tutorial for 2022 will guide you to create an MIS Report

1:25:01 Excel Macros and VBA

This part of the Advanced Excel Tutorial for 2022 will teach you Excel Macros and VBA Fundamentals

2:27:15 Regression in Excel

This part of the Advanced Excel Tutorial for 2022 will help you learn Regression in Excel

2:53:51 Excel Power query

This part of the Advanced Excel Tutorial for 2022 will help you learn Excel Power Query

3:51:12 Pivot Tables in Excel

This part of the Advanced Excel Tutorial for 2022 will help you learn the Pivot tables in Excel

4:19:12 Excel Interview Questions

This part of the Advanced Excel Tutorial for 2022 will guide you through the most frequently asked Excel Interview Questions

🔥Free Business Analytics with Excel Course with completion certificate- https://www.simplilearn.com/learn-business-analytics-excel-fundamentals-skillup?utm_campaign=AdvanceExcel&utm_medium=Description&utm_source=youtube

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What is Microsoft Excel?
Excel is one of the best applications available on the market for creating spreadsheets to crunch numbers and dashboard reports as well as storing and administering data.

About Business Analytics Certification Course with Excel:
Boost your analytics career with powerful new Microsoft® Excel skills by taking this Business Analytics course, which includes training on Power BI. These two commonly used tools, combined with official business analytics certification, will put you on the path of a successful career.

Key Features of this Business Analytics Certification Course with Excel program:
✅ 12 hours of self-paced video
✅ Two hands-on industry-based projects on healthcare and e-commerce
✅ Includes training on business intelligence using Power BI
✅ Eight practical exercises
✅ Lifetime access to self-paced learning

Eligibility for this Business Analytics Certification Course with Excel program:
Business Analytics with Excel is the best course for both beginners and experienced professionals who are inexperienced or have recently entered the analytics field. This Business Analytics online course is beneficial for IT developers and testers, data analysts, junior data scientists, analytics professionals, BI and reporting professionals, project managers, students, and professionals working with data in any industry.

🔥Free Business Analytics with Excel Course with completion certificate - https://www.simplilearn.com/learn-business-analytics-excel-fundamentals-skillup?utm_campaign=AdvanceExcel&utm_medium=Description&utm_source=youtube

Get the Simplilearn app: https://simpli.app.link/OlbFAhqMqgb

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Random Matrix Theory (RMT) is applied to analyze the weight matrices of
Deep Neural Networks (DNNs), including production quality, pre-trained
models and smaller models trained from scratch. Empirical and theoretical
results indicate that the DNN training process itself implements a
form of self-regularization, evident in the empirical spectral density (ESD)
of DNN layer matrices. To understand this, we provide a phenomenology
to identify 5+1 Phases of Training, corresponding to increasing amounts of
implicit self-regularization. For smaller and/or older DNNs, this implicit self-regularization
is like traditional Tikhonov regularization, with a "size scale" separating signal from
noise. For state-of-the-art DNNs, however, we identify a novel form of
heavy-tailed self-regularization, similar to the self-organization seen
in the statistical physics of disordered systems.

To that end, building on the statistical mechanics of generalization,
and applying recent results from RMT, we derive a new VC-like
complexity metric that resembles the familiar product norms, but
is suitable to study average case generalization behavior in real systems.
We then demonstrate its effectiveness by testing how well this new
metric correlates with trends in the reported test accuracies across models
for over 450 pretrained DNNs covering a range of data sets and architectures.

Generative AI is the technology behind the wave of new online tools used by millions around the world. As the technology is ever more widely deployed, what are its current strengths and its weaknesses?

00:00 - What is generative AI?
00:46 - Breakthroughs and take-up of the technology
02:03 - Strengths
03:32 - Weaknesses

Sign up to The Economist’s daily newsletter: https://econ.st/3QAawvI

How to invest in AI: https://econ.st/3IF8EA7

Find more of our latest coverage on AI: https://econ.st/3OS1cFZ

Why large AI models will transform how we live and work: https://econ.st/3MtADUz

Watch: Chatbots will change how we use the internet: https://econ.st/41HELXb

Big tech and the pursuit of AI dominance: https://econ.st/43J3UCl

It doesn’t take much to make machine-learning algorithms go awry: https://econ.st/3A6O8Ue

Don’t fear an AI-induced jobs apocalypse just yet: https://econ.st/3ULbubz

The race of the AI labs heats up: https://econ.st/3MUh1e7

The five best books to understand AI: https://econ.st/3olOX9e

1843: The inventor who fell in love with his AI: https://econ.st/3MUiVeS

NVIDIA ACE for Games is a new foundry for intelligent in-game characters powered by generative AI. Developers of middleware, tools, and games can use NVIDIA ACE for Games to build and deploy customized speech, conversation, and animation AI models in their software and games.

Watch our NVIDIA Kairos demo, showcasing how NVIDIA partnered with Convai to help optimize and integrate ACE for Games modules into an immersive and dynamic interaction with a non playable character named Jin. The demo is also enhanced with ray tracing and performance multiplying NVIDIA DLSS 3.

Learn More: https://www.nvidia.com/en-us/g....eforce/news/nvidia-a

Subscribe to @NVIDIAGeForce for more PC gaming content featuring advanced graphics, AI, and high-performance technology.

Subscribe to @NVIDIADeveloper to see more cutting-edge PC gaming development software and tools.

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GeForce Instagram: https://www.instagram.com/nvidiageforce/
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#Omniverse
#RTXOn