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** ( AWS Training: https://www.edureka.co/aws-certification-training ) **
This Edureka Tutorial on “Introduction To Amazon QuickSight” will introduce you to a Cloud-based Business Intelligence Tool by Amazon, which is Amazon QuickSight.
Below is the list of topics covered in this session:
1. What is Business Intelligence?
2. What is Amazon QuickSight?
3. Features of Amazon QuickSight
4. Amazon QuickSight Demo
The link for Dataset used in the demo: https://catalog.data.gov/dataset#sec-groups
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How it Works?
1. This is a 5 Weeks Instructor-led Online Course, 30 hours of assignment and 20 hours of project work.
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 be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!
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About The Course
AWS holds 69% of the global market share in the cloud computing market. Some of the prominent companies who use AWS as their backbone are Kelloggs, Netflix, Adobe, Airbnb and General Electric. Irrespective of the size of an organization, everyone has started to adopt the cloud services in one way or the other, and AWS is the major player in the Cloud services industry.
AWS Certification Training from Edureka is designed to provide in depth knowledge about AWS architectural principles and its services.
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What are the objectives of our AWS Architect Certification Training?
AWS Architect Certification Training is designed by industry experts to make you a AWS Certified Solutions Architect. During this AWS Architect Training, you’ll learn:
· AWS Architecture and different models of Cloud Computing
· Compute Services: AWS EC2, Auto Scaling and Load Balancing, AWS Lambda, Elastic Beanstalk
· Storage Services : AWS EBS, AWS S3, AWS Glacier, AWS CloudFront, AWS Snowball, Storage Gateway
· Database Services: AWS RDS, AWS DynamoDB, ElastiCache, AWS RedShift
· Security and Identity Services: IAM, KMS
· Networking Services: Amazon VPC, Route 53, Direct Connect
· Management Tools: AWS CloudTrail, AWS CloudWatch, CloudFormation, OpsWorks, Trusty Advisor
· Application Services: SES, SNS, SQS
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What are the skills that you will be learning with our AWS Architect Certification Training?
AWS Architect Certification is designed by industry experts to make you a certified AWS Solutions Architect. It will polish your skills by offering you comprehensive knowledge on Cloud computing. On the completion of the AWS Architect Training, learner will be able to:
· Design and deploy scalable, highly available, and fault tolerant systems on AWS
· Understand lift and shift of an existing on-premises application to AWS
· Ingress and egress of data to and from AWS
· Identify the appropriate AWS service based on data, compute, database, or security requirements
· Identify the appropriate use of AWS architectural best practices
· Estimate AWS costs and identifying cost control mechanisms
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Who should go for this AWS Architect Certification Training?
This AWS Certification Training is designed for the IT professionals who want to pursue a career in Cloud Computing and become AWS Certified Solutions Architect. Our AWS Architect Certification Training helps you to grab this opportunity and accelerate your career. It is best suited for:
· Professionals who want Project Experience in migrating and deploying AWS solutions
· Professionals with IT Infrastructure background
· Professionals with Virtualisation experience
· DevOps professionals
· Professionals with understanding of application, server, and network security and compliance
For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free).
🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐌𝐚𝐬𝐭𝐞𝐫 𝐏𝐫𝐨𝐠𝐫𝐚𝐦: https://www.edureka.co/masters....-program/machine-lea (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka LSTM Explained video will help you in understanding why we need Recurrent Neural Networks (RNN) and what exactly it is. It also explains few issues with training a Recurrent Neural Network and how to overcome those challenges using LSTMs.
00:00:00 Introduction
00:00:18 Agenda
00:02:35 Introduction to NLP
00:04:08 Ways to process Text Data
00:05:55 Recurrent Neutrals Networks
00:16:06 Long Short-term Memory
00:17:17 LSTM Use Cases
00:18:15 Name Entity Recognition
00:20:55 Sentiment Analysis
00:22:50 Machine Translation
00:24:19 Hands-on
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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.
🔥 Advanced Certificate Program In Data Science: https://www.simplilearn.com/pgp-data-science-certification-bootcamp-program?utm_campaign=StatisticsForDataScience-Lv0xcdeXaGU&utm_medium=DescriptionFirstFold&utm_source=youtube
🔥 Data Science Bootcamp (US Only): https://www.simplilearn.com/data-science-bootcamp?utm_campaign=StatisticsForDataScience-Lv0xcdeXaGU&utm_medium=DescriptionFirstFold&utm_source=youtube
Statistics is a branch of applied mathematics, that is the study and manipulation of data, including ways to gather, review, analyze, and draw conclusions. This is why statistics still holds a very important place in today’s data science and business intelligence world. In this statistics tutorial, you will learn all about statistics, including, percentile in statistics, what is normal distribution, Central Limit Theorem, and probability density function. Start learning the statistics tutorial now.
Statistics is primarily an applied branch of mathematics, which tries to make sense of observations in the real world. Statistics is generally regarded as one of the pillars of data science.
➡️ Data scientist Masters Program
What are the course objectives?
This course will enable you to:
1. Gain a foundational understanding of business analytics
2. Install R, R-studio, and workspace setup. You will also learn about the various R packages
3. Master the R programming and understand how various statements are executed in R
4. Gain an in-depth understanding of data structure used in R and learn to import/export data in R
5. Define, understand and use the various apply functions and DPLYP functions
6. Understand and use the various graphics in R for data visualization
7. Gain a basic understanding of the various statistical concepts
8. Understand and use the hypothesis testing method to drive business decisions
9. Understand and use linear, non-linear regression models, and classification techniques for data analysis
10. Learn and use the various association rules and Apriori algorithm
11. Learn and use clustering methods including K-means, DBSCAN, and hierarchical clustering
Who should take this course?
There is an increasing demand for skilled data scientists across all industries which makes this course suited for participants at all levels of experience. We recommend this Data Science training, especially for the following professionals:
IT professionals looking for a career switch into data science and analytics
Software developers looking for a career switch into data science and analytics
Professionals working in data and business analytics
Graduates looking to build a career in analytics and data science
Anyone with a genuine interest in the data science field
Experienced professionals who would like to harness data science in their fields
Who should take this course?
There is an increasing demand for skilled data scientists across all industries which makes this course suited for participants at all levels of experience. We recommend this Data Science training, especially for the following professionals:
1. IT professionals looking for a career switch into data science and analytics
2. Software developers looking for a career switch into data science and analytics
3. Professionals working in data and business analytics
4. Graduates looking to build a career in analytics and data science
5. Anyone with a genuine interest in the data science field
6. Experienced professionals who would like to harness data science in their fields
🔥 Learn More: https://www.simplilearn.com/big-data-and-analytics/senior-data-scientist-masters-program-training?utm_campaign=StatisticsForDataScience&utm_medium=Description&utm_source=youtube
🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688
🔥 Data Analyst Master's Program: https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=9May2023DataAnalyticsProgram&utm_medium=Descriptionff&utm_source=youtube
In this video on "Data Analyst Masters Program by Simplilearn" in collaboration with IBM, this Data Analytics course makes you a Data Analytics expert. Data analytics is the process of examining data sets to conclude the information they contain. Learn how to use SQL databases, R, and Python, develop data visualizations, and use statistics and predictive analytics in a corporate setting with the aid of our Data Analyst course. Additionally, IBM specialists will be teaching Masterclasses for this Data Analytics certification.
✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH
#DataAnalystCourse #DataAnalyst #BecomeDataAnalyst #DataAnalyticsForBeginners #DataAnalyticsLecture #LearnDataAnalytics #DataAnalysis #DataAnalytics
✅ 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.
✅ Key Features
- Exclusive hackathons and live interactionwith IBM leadership
- Live masterclasses and Ask Me Anything sessions from IBM experts
- 8X higher live interaction with live online classes by industry experts
- Capstone and 20+ real-life Data Science projects built on data sets from different industries such as Banking, eCommerce, Technology, and Manufacturing
- Top-notch curriculum with integrated labs
✅ Tools Covered
- Microsoft Excel
- NumPy
- pandas
- SciPy
- power bi
- python
- R
- tableau
✅ Data Analyst Master's Program: https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=9May2023DataAnalyticsProgram&utm_medium=Description&utm_source=youtube
🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688
👉 Listen to what millions of users say about our courses! https://www.simplilearn.com/reviews?utm_campaign=9May2023DataAnalyticsProgram&utm_medium=Description&utm_source=youtube
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🔥Project Management Full Course 2022 | Project Management Tutorial | Project Management| Simplilearn
🔥Post Graduate Program In Project Management: https://www.simplilearn.com/pgp-project-management-certification-training-course?utm_campaign=ProjectManagementFC30sept2022-pc9nvBsXsuM&utm_medium=DescriptionFirstFold&utm_source=youtube
🔥 PMP Certification Course: https://www.simplilearn.com/project-management/pmp-certification-training?utm_campaign=ProjectManagementFC30sept2022-pc9nvBsXsuM&utm_medium=DescriptionFirstFold&utm_source=youtube
In this video on Project Management Full Course, we shall begin learning the basics of project management. As we move forward, we shall verse ourselves with different project management concepts like project planning, project time, cost quality and communication management. We will learn about project manager roles and different project management tools. Finally, we shall see some Project Management interview questions to excel in any Project Management interview.
By the end of this course, you'll have everything you need to know about Project Management. So without further ado, let's jump in!
🔥Free Project Management Course: https://www.simplilearn.com/learn-project-management-fundamentals-skillup?utm_campaign=ProjectManagementFC30sept2022-pc9nvBsXsuM&utm_medium=Description&utm_source=youtube
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⏩ Check out the project management training videos playlist : https://youtube.com/playlist?l....ist=PLEiEAq2VkUULPx4
#ProjectManagement #ProjectManagementFullCourse #ProjectManagementFundamentals #ProjectManagementInterviewQuestionsandAnswers #ProjectManagementLifecycle #SimplilearnPMP #ProjectManagementTools #Simplilearn
What is Project Management?
Project management is the process of overseeing a team's work to complete all project objectives within the established parameters. The project documentation that is created at the start of the development process typically contains descriptions of this information. The three main restraints are budget, time, and scope. Optimizing the distribution of necessary inputs and using them to achieve pre-established goals is the secondary challenge.
Post Graduate Program in Project Management.
What is Project Planning?
Project planning, which involves using schedules like Gantt charts to plan and then report progress within the project environment, includes project planning. Using project management software or manually planning a project are both options.
Become a digital-age project leader with our Post Graduate Program in Project Management in partnership with the University of Massachusetts Amherst. Aligned with the Project Management Professional (PMP) certification, learn the frameworks, tools, and skills to drive transformational projects. The Post Graduate Program in Project Management focuses on managing quality, risk and complexity, delivering results, understanding strategy, and implementing best practices. This program aligns with the Project Management Institute standards and provides an opportunity to earn 146 PDUs required for renewal of multiple project management certifications.
Key Features:
✅University of Massachusetts Amherst Post Graduate Program Certificate of Completion
✅Official membership to the UMass Amherst Alumni Association
✅Once accepted into the UMass Amherst Isenberg Online MBA, Simplilearn coursework transfers as a 9-credit concentration
✅Masterclasses from top faculty of the University of Massachusetts Amherst
✅Interactive peer learning through group projects and discussions
✅175+ hours of Applied Learning
✅Get noticed by the top hiring companies
✅Enrollment in Simplilearn’s JobAssist
✅100% Money back guarantee
✅Capstone Project in 3 Domains
✅Curriculum aligned with official PMI-PMP®, ASM®, PMI-RMP®, and LSSGB project management certifications
✅Earn 146 PDUs for maintaining your Continuing Certification Requirements (CCR) with PMI related certifications
✅Earn the 35 Contact hours and 7 simulation exams to ace the PMP exam
Learn more at: https://www.simplilearn.com/pgp-project-management-certification-training-course?utm_campaign=ProjectManagementFC30sept2022&utm_medium=Description&utm_source=youtube
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Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng continues his discussion on factor analysis and expectation-maximization steps, and continues on to discuss principal component analysis (PCA).
This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include supervised learning, unsupervised learning, learning theory, reinforcement learning and adaptive control. Recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing are also discussed.
Complete Playlist for the Course:
http://www.youtube.com/view_pl....ay_list?p=A89DCFA6AD
CS 229 Course Website:
http://www.stanford.edu/class/cs229/
Stanford University:
http://www.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
In this video, we're going to go over how to fine-tune a GPT-3 model.
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We'll start by creating a prompt, then we'll generate some synthetic data to use for training. Next, we'll augment that data to make it even more useful for training.
Finally, we'll prepare a JSON file for uploading to OpenAI GPT-3. Once our model is fine-tuned, we'll test it out to see how it performs.
00:00 Intro
00:26 Fine Tune GPT-3 Model Plan
03:07 Creating a prompt for fine-tuning GPT-3
08:22 Syntetic Data for fine-tuning GPT-3
13:13 Augmenting the Data for fine-tuning
15:46 Preparing a json file for fine-tuning
19:06 Uploading json file to OpenAI GPT-3
20:29 Testing our fine-tuned GPT-3 model
26:20 Recap of GPT-3 fine tuning
🔥Post Graduate Program In Digital Marketing: https://www.simplilearn.com/pgp-digital-marketing-certification-program?utm_campaign=DigitalMarketingScribe&utm_medium=DescriptionFirstFold&utm_source=youtube
Digital Marketing combines the reach and accessibility of the internet to enable us to market our products across the world. In this video, join us on a journey as we tell you about what is digital marketing, the types of digital marketing, and so much more! So, without further ado, let's jump in!
Don't forget to take the quiz at 03:52!
00:00 Digital Marketing
00:54 Types of Digital Marketing
01:21 Content Marketing
01:32 Search Engine Optimization
02:08 Pay Per Click
02:27 Social Media Marketing
03:05 Email Marketing
03:35 Affiliate Marketing
Digital Marketing Full Course: https://www.youtube.com/watch?v=nU-IIXBWlS4
🔥Free Digital Marketing course: https://www.simplilearn.com/learn-digital-marketing-fundamentals-basics-skillup?utm_campaign=Skillup-DigitalMarketingScribe&utm_medium=Description&utm_source=youtube
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⏩ Check out the Digital Marketing training videos: https://bit.ly/36d97Fs
#DigitalMarketing #WhatIsDigitalMarketing #DigitalMarketingExplained #LearnDigitalMarketing #DigitalMarketingCourse #IntroductionToDigitalMarketing #DigitalMarketingTutorialForBeginners #DigitalMarketingTutorial #DigitalMarketingTips #DigitalMarketingBasics #Simplilearn
What is Digital Marketing?
The digital marketing concept has its roots in traditional marketing methods but has a lot of online-specific aspects. Digital marketing involves connecting with customers and potential customers and convincing them they need your product or service. This is done through the Internet, social media, and other digital platforms. It is also known as ONLINE MARKETING, the most accessible, modern, and easy-to-use form of Promotion available today.
➡️ About Post Graduate Program In Digital Marketing:
Get a hands-on Live Interactive Learning experience with this Digital Marketing Course. Learn via fundamental and advanced material, preparing you for your Digital Marketing Career. Get a Meta Certified Digital Marketing Associate exam voucher worth USD $99 to showcase your skills.
✅ Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Joint Purdue-Simplilearn Digital Marketer Certificate
- Become eligible to be part of the Purdue University Alumni Association
- Masterclasses delivered by Purdue faculty
- Harvard Business Publishing Cases
- Build your website & learn real-world hands-on digital marketing techniques
- Master sessions by Meta Blueprint trainer
- 6-credit transfer for the Purdue Online MS in Communication program
- Meta Certified Digital Marketing Associate exam voucher worth USD $99
- 5 Capstone problem statements and 15+ course-end projects
- 10+ case studies from brands like Adidas, KFC, Nike, Intel, etc.
- 35+ digital marketing tools
- Boost productivity with ChatGPT and AI tools (Blue Willow, Stable Fusion & Well Said Labs)
- Course aligned with Hootsuite and SE Ranking certification
- Learn using Meta Business Coach Chatbot
- Live classes delivered by Industry Experts along with self-paced content
✅ Skills Covered
- Website Creation
- Behavioral Marketing
- Keyword Research
- Search Engine Optimization
- Search Engine Marketing
- Campaign Management
- Social Media Marketing
- Mobile Marketing
- Content Marketing
- Content Strategy
- Strategies for Paid Campaigns
- Analytics ROI and Evaluation
- AI Automation and Emerging Technology
👉Learn more at: https://www.simplilearn.com/pgp-digital-marketing-certification-program?utm_campaign=DigitalMarketingScribe&utm_medium=Description&utm_source=youtube
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Донат на «Гнів Пречистий» ➡️ https://send.monobank.ua/jar/7MgRmb8MyE
Переклав: Vladee Flava.
Озвучили: Vladee Flava, Юрій Чеков, Олексій Великий та Валерія-Анастасія Пришляк.
Оригінал: https://youtu.be/6etTERFUlUI?si=UBOWuDfV8cDxt1wS
PROМОВА (ПРОЄКТ МОВА) - створений задля поширення та популяризації українськомовного контенту, основу каналу складають іноземні відео вперше озвучені українською мовою.
ПІДТРИМАЙТЕ ПРОЄКТ МОВА ФІНАНСОВО:
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Дякую за підтримку: VALERII MARKUS, Галина Свиноус, Zagin Kinomaniv, Ярослав Характерник, Eugene Medvediev, Zhuk Orest, AirMaiden, Anastacia Lukashevych, Андрїй Молявчик, Дмитро Солов'янов, Олексій Іванчук, Bohdan Kvas, Pavlo, Dyka Olenka, Dmytro Savochkin, Vil Vilnyi, Oleksandr Karpov, v_omelianiuk, Danylo, Zergatul, Ihor Musikevych, Valentyn Solomko, Гогільчин Тарас, Ken Guru, vch_m, Pavlo Pravdiukov, Vladyslav Yevtiukhin, Yurii Selinnyi та іншим 🙏🏼
Окрема подяка: Анатолій Партика, Євгеній Домарєв, Раймонд Пермінов, Денис Мартиненко, Олександр Білецький 🔥
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#VERITASIUM #ТЕМНАМАТЕРІЯ #ПРОЄКТМОВА
Помощь проекту: https://www.patreon.com/VertDider
Вероятно, вы слышали про мнимую единицу, или «i». Это число, которое при возведении в квадрат даёт -1 (минус один). Тем, кто из школьной программы помнит, что результат возведения в квадрат всегда положительный, это может показаться странным. Не переживайте, долгое время идея о квадратных корнях отрицательных чисел ставила в тупик величайших математиков. Тем не менее мнимые числа вошли в обиход и доказали свою пользу: с их помощью мы не только научились решать некоторые уравнения, но и получили возможность узнать чуть больше о том, как на самом деле устроена Вселенная. Историю их появления, как мы считаем, вполне достойную экранизации, расскажет Дерек Маллер в новом видео.
Если вам захочется окунуться поглубже именно в математическую сторону вопроса, рекомендуем также посмотреть видео от канала Welch Labs «Мнимые числа реальны»: https://youtu.be/kicp_odjsRs
Перевод: Алексей Малов
Редактура: Елена Смотрова
Научная редактура: Кирилл Циберкин
Озвучка: Дмитрий Чепусов
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков
Спасибо за поддержку на https://www.patreon.com/VertDider
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Источник: https://youtu.be/cUzklzVXJwo