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Best of China 8K HDR Ultra HD - Relaxing nature movie with soothing music
This film was created for educational, entertainment and informative purposes.
Some footage have been originally recorded in 8K resolution and some in 4K. I upscaled all 4K footage to 8K resolution, resulting something new.
This film was re-edited in HDR10 standard and color corrected (high color correction , color grading , adjusted the blacks, adjusted the highlights and the saturation).
To watch this video in real HDR, you should use a HDR television set.
There are a lot of interesting facts that you probably didn’t know.
Shanghai is a financial and cultural hub for the entire world. Shanghai has the longest metro system in the world with 644 km of tunnels and track.
"The Pearl of Asia" and "The Paris of the East" are two nicknames for Shanghai.
Hong Kong is famous for many towering skyscrapers. The tallest skyscraper in Hong Kong is The International Commerce Center. Hong Kong is recognized as the crossroads of East and West.
Hangzhou is a famous tourist destination in this country. One of China's seven historic capitals is Hangzhou. Hangzhou has been known as "Capital of Tea" since ancient times.
#scenicrelaxation #8kvideo #relaxationmusic #relaxationfilm #8kvideoultrahd
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🌿Welcome to the new relaxing music stream on Scenic Relaxation 8K channel. You can keep the video at low volume and start doing any work like studying, working, reading… or simply relaxing or getting a good night's sleep.
🌿Music to relax, meditate, study, read, massage, spa or sleep. This type of music is ideal to combat anxiety, stress or insomnia as it facilitates relaxation and helps us to get rid of bad vibrations. You can also use this music as a background for guided meditation classes or sleep relaxation.
🌿If you enjoyed the live stream and want more relaxing music content, don't forget to like and subscribe!
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🎹More soothing music on Spotify playlist: https://spoti.fi/38bwOia
Music By:
"---------------------------------------------
🌿 Music by Helios Records:
➤ Spotify Relaxing: https://heliosrecords.fanlink.to/SpotifyRelaxing
➤ Spotify Concentration: https://heliosrecords.fanlink.....to/SpotifyConcentrat
➤ Instagram: https://heliosrecords.fanlink.to/Instagram
➤ Facebook: https://heliosrecords.fanlink.to/Facebook
➤ Tiktok: https://heliosrecords.fanlink.to/Tiktok
➤ SoundCloud: https://heliosrecords.fanlink.to/Soundcloud
---------------------------------------------"
"🌿 Music by Helios Relaxing Space
➤ Spotify: https://spoti.fi/3kJuAy3
🌿 Music by Vincent Carry
➤ Spotify: https://spoti.fi/2ZSgDCA
🌿 Music by Finn
➤ Spotify: https://spoti.fi/3Cm9QCk "
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"🌞 For contact and submit music: [email protected]
►All rights belong to their respective owners.
✔ This video was given a special license directly from the artists and the right holders."
FULLSTERKUR is the third documentary in a collection of films produced by Rogue Fitness, exploring strength culture around the world, connected specifically by the ancient tradition of stone lifting.
Nestled at the doorstep of the Arctic Circle, the country of Iceland is uniquely acquainted with the relationship between strength and survival. For hundreds of years, men and women were challenged to overcome harsh weather and endless winter nights by developing their own distinct physical and mental fortitude—passed down from the age of the Vikings, and iconically represented by the lifting of heavy stones. Today, on an island with a population of just over 300,000, a disproportionate number of the world’s greatest strength athletes still call Iceland home.
The film features some of the modern stars of Iceland strength, including Magnus Ver Magnusson, Hafthor Bjornsson, and Annie Thorisdottir. But it also sheds light on strength culture’s early roots in the region, from the traditions of the Vikings and Sagas to the lives of farmers and fishermen.
Explore the Stones: roguefitness.com/fullsterkur
A good model follows the “Goldilocks” principle in terms of data fitting. Models that underfit data will have poor accuracy, while models that overfit data will fail to generalize. A model that is “just right” will avoid these important problems.
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Suppose you are trying to classify big cats based on features such as claw size, sex, body dimensions, bite strength, color, speed, and the presence of a mane. Due to various deficiencies in the training process and data set, the resultant model may fail to fully differentiate the various types of cats. For example, a rule-based model may predict that any cat with a mane that roars is a lion, while ignoring that if such a cat is female, it is technically referred to as a lioness. Since this model does not take all necessary features into account while performing classification, it is said to underfit the data. The problem of underfitting is solved by adding more detail to the model to ensure that it properly captures the differences between classes.
On the other hand, a model may also consider every possible detail and develop very specific, complex rules for classification. For example, if one data point represents a lion that is 3.5 feet tall, weighs 305 pounds, and has 2.9-inch claws, the model may develop a rule that classifies every 3.5 foot tall, 305 pound cat with 2.9-inch claws as a lion. Such rules will accurately classify the training data, but will poorly generalize to new data samples. A model that develops these kinds of rules is said to overfit the data. In other words, the model has failed to identify the true patterns that differentiate the classes. As a separate example, if the data only contained tigers that grew up in a zoo, the model may have difficulty classifying tigers that grew up in the wild. So while improving the process of data collection is helpful to prevent this problem, the model must be designed to identify the most important patterns that identify a class, so that new samples can be properly classified.
With regards to neural networks, overfitting typically stems from too many input features, or the use of an overly-complicated network configuration. If the input count is too large, the training process may start to assign weights to features that either aren't needed or add unnecessary complexity to the model. An overly-complicated configuration may lead to the development of specific rules that improperly relate many different features, resulting in poor generalization.
Overfitting is a common problem in data science. One popular method to reduce overfitting is the use of a cross-validation data set along with parameter averaging. For neural networks, a common method is regularization. There are different types such as L1 and L2, but each of these follows the same principle – penalize the model for letting weights and biases become too large. Another method is Max Norm constraints, which directly adds a size limit to the weights and biases. A different approach is dropout, which randomly switches off certain neurons in the network, preventing the model from becoming too dependent on a set of neurons and the associated weights and biases. While these methods are broadly applied across the model rather than used for systematically searching for problem patterns, they have been proven to reduce and sometimes prevent the problem of overfitting.
Credits
Nickey Pickorita (YouTube art) -
https://www.upwork.com/freelan....cers/~0147b8991909b2
Isabel Descutner (Voice) -
https://www.youtube.com/user/IsabelDescutner
Dan Partynski (Copy Editing) -
https://www.linkedin.com/in/danielpartynski
Marek Scibior (Prezi creator, Illustrator) -
http://brawuroweprezentacje.pl/
Jagannath Rajagopal (Creator, Producer and Director) -
https://ca.linkedin.com/in/jagannathrajagopal
Loss or a cost function is an important concept we need to understand if you want to grasp how a neural network trains itself. We will go over various loss functions in this video such as mean absolute error (a.k.a MAE), mean squared error (a.k.a MSE), log loss or binary cross entropy. After going through theory we will implement these loss functions in python. It is important to go through this implementation as it might be useful during your interviews (if you are targeting a role of a data scientist or a machine learning engineer)
Code: https://github.com/codebasics/....deep-learning-keras-
Exercise: Go at the end of the above notebook to see the exercise
Do you want to learn technology from me? Check https://codebasics.io/ for my affordable video courses.
🔖 Hashtags 🔖
#lossfunction #costfunction #costfunctionneuralnetwork #lossfunctionneuralnetwork #costfunctiondeeplearning #lossfunctiondeeplearning
Why not MSE for logistic regression:
https://towardsdatascience.com..../why-not-mse-as-a-lo
Next video: https://www.youtube.com/watch?v=pXGBHV3y8rs&list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO&index=12
Previous video: https://www.youtube.com/watch?v=Wibxjrxf5ko&list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO&index=10
Deep learning playlist: https://www.youtube.com/playli....st?list=PLeo1K3hjS3u
Machine learning playlist : https://www.youtube.com/playli....st?list=PLeo1K3hjS3u
Prerequisites for this series:
1: Python tutorials (first 16 videos): https://www.youtube.com/playli....st?list=PLeo1K3hjS3u
2: Pandas tutorials(first 8 videos): https://www.youtube.com/playli....st?list=PLeo1K3hjS3u
3: Machine learning playlist (first 16 videos): https://www.youtube.com/playli....st?list=PLeo1K3hjS3u
Website: https://codebasics.io/
Facebook: https://www.facebook.com/codebasicshub
Twitter: https://twitter.com/codebasicshub
Extracting texts of various sizes, shapes and orientations from images containing multiple objects is an important problem in many contexts, especially, in connection to e-commerce, augmented reality assistance system in a natural scene, content moderation in social media platform, etc. The text from the image can be a richer and more accurate source of data than human inputs which can be used in several applications like Attribute Extraction, Offensive Text Classification, Product Matching, Compliance use cases, etc. Extracting text is achieved in 2 stages. Text detection: The detector detects the character locations in an image and then combines all characters close to each other to form a word based on an affinity score which is also predicted by the network. Since the model is at a character level, it can detect in any orientation. Post this, the text is then sent through the Recognizer module. Text Recognition: Detected text regions are sent to the CRNN-CTC network to obtain the final text. CNN’s are incorporated to obtain image features that are then passed to the LSTM network as shown in the below figure. Connectionist Temporal Classification(CTC) decoder operation is then applied to the LSTM outputs for all the time steps to finally obtain the raw text from the image.
Key Takeaways:
1. Understanding the need for text extraction from Product Images.
2. Deep Learning Techniques for detecting highly oriented text.
3. End to End understanding of CRNN-CTC network for text recognition with TF 2.0
4. Need for CTC loss and theoretical understanding of the same.
5. Usage of Text Extraction in various fields/domains.
About:
Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business.
Read more here: https://databricks.com/product/unifie...
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Instagram: https://www.instagram.com/databricksinc/ Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-named-leader-by-gartner
Ms. Coffee Bean appears with the definitive introduction to Graph Neural Networks! Or short: GNNs. Because graphs are everywhere (almost).
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🔥 Optionally, pay us a coffee to boost our Coffee Bean production! ☕
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Outline:
* 00:00 Graphs are everywhere!
* 02:32 GNNs explained
* 07:25 GNNs applications
🔗 Links:
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Cloud Computing Tutorial for Beginners | Cloud Computing Explained | Learn Cloud Computing | Edureka
🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐀𝐖𝐒 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") : https://www.edureka.co/aws-certification-training
This "Cloud Computing Tutorial for Beginners" video will give you an introduction to the cloud computing world. We will also look at why cloud computing is better along with the advantages of cloud computing. Later, we will look at the types of cloud computing models, and how the lifecycle for developing a cloud based solution occurs. At the very end, we have a demo in which we will use AWS services to help a normal business transition to cloud. This video is ideal for those who want to become an AWS Certified Solutions Architect.
Below are the topics covered in this Cloud Computing Tutorial video:
00:00 Introduction
00:44 Agenda
01:03 Introduction to Cloud Computing
02:12 Why Cloud Computing
04:05 Advantages of Cloud Computing
06:06 Types of Cloud Computing
06:40 Types of Cloud Deployment Model
09:30 Types of Cloud Service Model
11:26 Lifecycle of Cloud Computing Solutions
13:08 Demo
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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐲𝐛𝐞𝐫 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/cyberse....curity-certification 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka video gives an introduction to Network Security and its nuances. It discusses the need of network security, tools for network security, and various other fundamental concepts
Topics Covered:
00:00:00 Introduction
00:00:09 Objectives
00:00:31 Introduction To Computer Network
00:05:34 What Is A Computer Network?
00:06:24 Layered Architecture
00:09:11 ISO-OSI Reference Model - Overview
00:10:25 OSI Reference Model – Flow
00:12:58 Physical Layer
00:14:04 Data Link Layer
00:15:07 Network Layer
00:16:47 Session Layer
00:17:30 Presentation Layer
00:18:52 Layer 7 - Application Layer
00:19:03 Summary
00:20:18 Protocol Data Unit (PDU)
00:23:14 Peer To Peer Communication
00:32:16 OSI Layer - Functions Function
00:36:23 Demo 1: Sniffer
00:44:46 TCP/IP Stack
00:45:08 TCP/IP: Application Layer
00:45:58 TCP/IP: Transport Layer
00:46:35 TCP/IP: Internet Layer
00:47:24 TCP/IP: Link Layer
00:52:02 Network Devices
00:52:37 Repeater
00:54:18 What Is A 'Protocol?
00:54:26 OSI Model Layers & Information Exchange
00:54:34 ARP (Address Resolution Protocol)
00:54:41 ARP - Attacker's View
00:55:18 ARP-Solution To Attacker's View
00:55:49 DHCP (Dynamic Host Configuration Protocol)
00:55:53 DHCP Process
00:57:28 DHCP - Attacker's View & Solution
00:58:43 ICMP - Attacker's View & Solution
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⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g
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📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/
Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.
Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.
Improve your skills in JavaScript, HTML, and CSS by building a social media dashboard with a dark/light theme. Jess, who runs the popular Coder Coder YouTube channel, will guide you through a beginner Frontend Mentor challenge.
✏️ Course created by @TheCoderCoder
Resources:
🔗 Responsive Design for Beginners! https://coder-coder.com/responsive/
🔗 Source code on GitHub: https://github.com/thecodercoder/fem-dklt-toggle
🔗 Challenge on Frontend Mentor: https://www.frontendmentor.io/....challenges/social-me
🔗 Andy Bell: Create a user controlled dark or light mode -- https://piccalil.li/tutorial/c....reate-a-user-control
⭐️ Contents ⭐️
Part 1
⌨️ (0:00:00) Intro
⌨️ (0:01:26) Functional requirements of design
⌨️ (0:11:31) Accessible form controls
⌨️ (0:15:37) Update CSS custom properties with JS
⌨️ (0:23:39) Screen reader-only text
Part 2
⌨️ (0:29:10) Creating GitHub repo
⌨️ (0:34:33) Set up SCSS and JS files
⌨️ (1:09:55) Set up Gulp workflow
Part 3
⌨️ (1:31:24) Studying the design
⌨️ (1:37:10) Building out the top bar
⌨️ (1:51:42) Using accessible markup
⌨️ (2:04:55) Styling top bar
⌨️ (2:23:26) Styling toggle and make accessible
Part 4
⌨️ (3:24:56) What is BEM? Planning out the class names
⌨️ (3:36:46) Adding the markup and the SCSS selectors for the cards
⌨️ (3:47:30) Styles for card
⌨️ (4:16:41) Layout for the card grid with flexbox, then CSS grid
⌨️ (4:33:26) Styling the top bars on the cards
⌨️ (4:49:36) Bottom cards markup and styles
Part 5
⌨️ (5:33:54) Changing the toggle based on comments
⌨️ (5:54:42) Use system preferences to load light or dark theme
⌨️ (6:18:24) Build the toggle logic to manually change light/dark theme
⌨️ (6:43:34) Save toggle settings in local storage
🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
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👾 Serhiy Kalinets
👾 Justin Hual
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Learn to code for free and get a developer job: https://www.freecodecamp.org
Read hundreds of articles on programming: https://freecodecamp.org/news
🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐎𝐩𝐬 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/devops-....certification-traini (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This DevOps Tutorial on Git Commands ( Git Blog series: https://goo.gl/XS1Vux ) will explain all the basic Git commands. You will learn about the commands like git add, git init, git pull, git branch etc.
00:00:00 Introduction
00:00:19 Git Basic Commands
00:07:45 Branching
00:14:54 Working with Remote Repositories
00:19:42 Advanced Git Commands
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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬
🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t
🌕 Java Online Training: http://bit.ly/3tRxghg
🔵 Big Data Online Training: http://bit.ly/3EvUqP5
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🌕 Azure Online Training: http://bit.ly/3i4P85F
🔵 GCP Online Training: http://bit.ly/3VkCzS3
🌕 Microservices Online Training: http://bit.ly/3gxYqqv
🔵 Data Science Online Training: http://bit.ly/3V3nLrc
🌕 CEHv12 Online Training: http://bit.ly/3Vhq8Hj
🔵 Angular Online Training: http://bit.ly/3EYcCTe
🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬
🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 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
🌕 Post Graduate 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
📌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/
Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.
🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 𝐂𝐨𝐮𝐫𝐬𝐞 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞 "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") : https://www.edureka.co/masters....-program/data-analys
In this Edureka Data Analyst Interview questions video, you will learn what kind of data analytics questions you can expect in the interview, How to answer them and much more. This Data Analyst Interview Questions video will give you a more comprehensive list of questions to crack your data analyst interview.
00:00 Introduction
01:26 Agenda
01:44 General Data Analyst Interview Questions
10:36 Data Analyst Interview Questions on Statistics
14:39 Data Analyst Interview Questions on Python
19:18 Data Analyst Interview Questions on SQL
22:56 Conclusion
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📝Feel free to share your comments below.📝
🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬
🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t
🌕 Java Online Training: http://bit.ly/3tRxghg
🔵 Big Data Online Training: http://bit.ly/3EvUqP5
🌕 RPA Online Training: http://bit.ly/3GFHKYB
🔵 Python Online Training: http://bit.ly/3Oubt8M
🌕 Azure Online Training: http://bit.ly/3i4P85F
🔵 GCP Online Training: http://bit.ly/3VkCzS3
🌕 Microservices Online Training: http://bit.ly/3gxYqqv
🔵 Data Science Online Training: http://bit.ly/3V3nLrc
🌕 CEHv12 Online Training: http://bit.ly/3Vhq8Hj
🔵 Angular Online Training: http://bit.ly/3EYcCTe
🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬
🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 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
📌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/
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=ChiSquareTest-mjSnOaoqeGo&utm_medium=Descriptionff&utm_source=youtube
🔥 Data Science Bootcamp (US Only): https://www.simplilearn.com/data-science-bootcamp?utm_campaign=ChiSquareTest-mjSnOaoqeGo&utm_medium=Descriptionff&utm_source=youtube
This video tutorial on probability and statistics gives a basic overview of the chi-square distribution. It explains how to use the chi-square distribution to conduct goodness of fit test to determine whether the null hypothesis should be accepted or rejected.
In this video, we will discuss -
00:00 Research and Null Hypothesis
01:19 Expected and Observed Frequency
01:47 Chi-Square Test
03:56 Example
🔥Free Data Science Course with Completion Certificate: https://www.simplilearn.com/data-science-free-course-for-beginners-skillup?utm_campaign=ChiSquareTest&utm_medium=Description&utm_source=youtube
To access the slides, click here: https://www.slideshare.net/Sim....plilearn/chi-square-
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⏩ Check out the Data Science tutorial videos: https://www.youtube.com/watch?v=X3paOmcrTjQ&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6
#ChiSquareTest #WhatIsChiSquareTest #ChiSquareTestTutorial #ChiSquareTestExplained #ProbabilityAndStatistics #ProbabilityTutorial #StatisticsTutorial #StatisticsBasics #LearnStatistics #Simplilearn
About Simplilearn Data Scientist Program:
This Data Science course, in collaboration with IBM, features exclusive IBM hackathons, masterclass, and Ask-me-anything sessions for the best training experience. This Data Scientist certification training provides hands-on exposure to key technologies including R, Python, Machine Learning, Tableau, Hadoop, and Spark via live interaction with practitioners, practical labs, and industry projects.
Learning Objectives of Simplilearn Data Scientist Program:
Data Scientist is one of the hottest professions. IBM predicts the demand for Data Scientists will rise by 28% by 2020. Simplilearn's Data Science certification course co-developed with IBM encourages you to master skills including statistics, hypothesis testing, data mining, clustering, decision trees, linear and logistic regression, data wrangling, data visualization, regression models, Hadoop, Spark, PROC SQL, SAS Macros, recommendation engine, supervised, and unsupervised learning and more.
Key Features of Simplilearn Data Scientist Program:
✅ Exclusive Hackathons and Live interaction with IBM leadership (Includes live Master Classes and Ask me anything sessions)
✅ 220+ hours of live interactive learning (Live Data Science online classes by industry experts)
✅ Capstone and 15+ real-life Data Science projects (Built on datasets of Amazon, UBER, Comcast)
✅ Simplilearn JobAssist™ (Get noticed by the top hiring companies)
👉Learn more at: https://www.simplilearn.com/big-data-and-analytics/senior-data-scientist-masters-program-training?utm_campaign=ChiSquareTest&utm_medium=Description&utm_source=youtube
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In this video on " How Does a Ransomware Attack Work ?" We answer the questions like what is ransomware and how it works, by covering the ways a ransomware attack can be started with generic phishing emails, and how hackers demand payment for releasing personal files and information. We also take a look at some remedial measures that can be taken to prevent being targeted. And at the end, we will some popular Ransomware attacks in history.
Below are the topics covered in this Ransomware Explained video:
00:00 How does a ransomware attack work?
02:02 Introduction to Ransomware
02:44 What is a Ransomware
03:29 How does a ransomware attack work?
04:23 Types of Ransomware
05:19 effects of ransomware on business
06:20 How to prevent ransomware
07:11 Popular ransomware attack
Cybercriminals employ ransomware as a kind of malware (malicious software). When a computer or network is infected with ransomware, the ransomware prevents users from accessing the system and encrypts their data. Cybercriminals hold their victims' data hostage in exchange for ransom money. A vigilant eye and security software are recommended for protection against ransomware infection. Following an infection, victims of malware assaults have three options: they may pay the ransom, attempt to delete the software, or restart the device.
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#Ransomware #RansomwareVirus #CyberAttack #WhatIsCybersecurity #Cybersecurity #BasicsOfCybersecurityForBeginners #CybersecurityTraining #CybersecurityCertification #CybersecurityTrainingForBeginners #CyberSecurity #CybersecurityCareer #CybersecurityCourse #Cybersecurity #2023 #Simplilearn
✅ About Post Graduate Program In Cybersecurity:
This Post Graduate Program in Cyber Security will help you learn comprehensive approaches to protecting your infrastructure and securing data, including risk analysis, mitigation, and compliance. You will get foundational to advanced skills through industry-leading cyber security certification courses that are part of the program.
✅ KeyFeatures
- Simplilearn Post Graduate Certificate
- Masterclasses from MIT Faculty
- Featuring Modules from MIT SCC and EC-Council
- & more
✅ Skills Covered
- Advanced Hacking Concepts
- Network Packet Analysis
- Ethical HackingI
- DS Firewalls and Honeypots
- Network Security
- & more
✅ Learn more at: https://www.simplilearn.com/pgp-cyber-security-certification-training-course?utm_campaign=HowDoesARansomwareAttackWork26July2023&utm_medium=Description&utm_source=youtube
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This SAS Tutorial is specially designed for beginners, it starts with Why Data Analytics is needed, goes on to explain the various tools in Data Analytics, and why SAS is used among them, towards the end we will see how we can install SAS software and a short demo on the same!
In this SAS Tutorial video you will understand:
1) Why Data Analytics?
2) What is Data Analytics?
3) Data Science Analytics Tools
4) Why SAS?
5) What is SAS?
6) What SAS Solves?
7) Components of SAS
8) How can we practice Base SAS?
9) Demo
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Check our complete SAS Training playlist here: https://goo.gl/MMLyuN
#SASTraining #SASTutorial #SASCertification
How it Works?
1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project
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. You will get Lifetime Access to the recordings in the LMS.
4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate!
- - - - - - - - - - - - - -
About the Course
The SAS training course is designed to provide knowledge and skills to become a successful Analytics professional. It starts with the fundamental concepts of rules of SAS as a Language to an introduction to advanced SAS topics like SAS Macros.
- - - - - - - - - - - - - -
Why Learn SAS?
The Edureka SAS training certifies you as an ‘in demand’ SAS professional, to help you grab top paying analytics job titles with hands-on skills and expertise around data mining and management concepts.
SAS is the primary analytics tool used by some of the largest KPOs, Banks like American Express, Barclays etc., financial services irms like GE Money, KPOs like Genpact, TCS etc., telecom companies like Verizon (USA), consulting companies like Accenture, KPMG etc use the tool effectively.
- - - - - - - - - - - - - -
Who should go for this course?
This course is designed for professionals who want to learn widely acceptable data mining and exploration tools and techniques, and wish to build a booming career around analytics. The course is ideal for:
1. Analytics professionals who are keen to migrate to advanced analytics
2. BI /ETL/DW professionals who want to start exploring data to eventually become data scientist
3. Project Managers to help build hands-on SAS knowledge, and to become a SME via analytics
4. Testing professionals to move towards creative aspects of data analytics
5. Mainframe professionals
6. Software developers and architects
7. Graduates aiming to build a career in Big Data as a foundational step
Please write back to us at [email protected] or call us at +918880862004 or 18002759730 for more information.
Website: https://www.edureka.co/sas-training
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Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Customer Reviews:
Sidharta Mitra, IBM MDM COE Head @ CTS , says, "Edureka has been an unique and fulfilling experience. The course contents are up-to-date and the instructors are industry trained and extremely hard working. The support is always willing to help you out in various ways as promptly as possible. Edureka redefines the way online training is conducted by making it as futuristic as possible, with utmost care and minute detailing, packaged into the a unique virtual classrooms. Thank you Edureka!"
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A huge thank you to Nevada Ready Mix for being willing to bury me in concrete, especially Elu Chavez and Mike Sherwood. https://www.nevadareadymix.com
And to Brandon Birchak of Six Foot Productions for providing the big fish bowl, safety equipment, planning and filming: https://www.sixfootcreations.com
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References:
Instant stone (just add water), Roots of Progress, https://rootsofprogress.org/in....stant-stone-just-add
https://rootsofprogress.org/cement-redux
Cement Chemistry and Sustainable Cementitious Materials
https://www.youtube.com/@cemen....tchemistryandsustain
Ahmad, S., Lawan, A., & Al-Osta, M. (2020). Effect of sugar dosage on setting time, microstructure and strength of Type I and Type V Portland cements. Case Studies in Construction Materials, 13, e00364. – https://ve42.co/Ahmad2020
Seymour, L. M., Maragh, J., Sabatini, P., Di Tommaso, M., Weaver, J. C., & Masic, A. (2023). Hot mixing: Mechanistic insights into the durability of ancient Roman concrete. Science advances, 9(1), eadd1602. -- https://ve42.co/Seymour2023
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09:06:48 Histogram
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09:55:58 What is a ChatBot
10:18:07 The map() Function
10:21:54 The Filter() Function
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Data Science Full Course 2020 | Data Science For Beginners | Data Science from Scratch | Simplilearn
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Will cover all the below-given topics required for a complete Data Science Tutorial:
0. Introduction (0:00)
1. Data Science basics (01:28)
2. What is Data Science (05:51)
3. Need for Data Science (06:38)
4. Business intelligence vs Data Science (17:30)
5. Prerequisites for Data Science (22:31)
6. What does a Data Scientist do? (30:23)
7. Demand for Data Scientist (53:03)
8. Linear regression (2:30:10)
9. Decision trees (2:53:39)
10. Logistic regression in R (3:09:12)
11. What is a decision tree? (3:27:04)
12. What is clustering? (4:35:40)
13. Divisive clustering (4:51:14)
14. Support vector machine (5:17:21)
15. K-means clustering 96:44:13)
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17. How to Become a Data Scientist (8:26:54)
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19. Simplilearn certifications in Data Science (8:33:50)
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➡️ 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.
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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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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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Automate Excel Using ChatGPT | ChatGPT Excel Automation | ChatGPT Tutorial For Beginners|Simplilearn
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In this Automate Excel using ChatGPT using Python, we will explore ChatGPT by OpenAI, which interacts conversationally. This ChatGPT Excel Automation will help you automate Excel, giving simple commands to ChatGPT. The ChatGPT tutorial for beginners will help you understand working with ChatGPT.
Here we start with:
00:00:00 Automate Excel using ChatGPT using Python
00:00:30 Quiz Question
00:01:02 Python Skillup Course
00:01:31 Introduction to ChatGPT
00:03:00 Login to ChatGPT
00:08:51 Concatenating Excel files using ChatGPT
00:20:00 Using SUM and AVERAGE functions using ChatGPT in Excel
00:29:45 Adding Prefix to phone numbers in Excel Sheet
00:36:42 Replacing value name from a group of excel workbooks
00:52:20 Group Data using Columns in Excel
01:10:13 Change Excel file name using Python using ChatGPT
01:13:58 Simplilearn Course
Link to excel files: https://github.com/abhisarahuj....a/automate_excel-_si
✅The artificial intelligence research firm OpenAI created ChatGPT, a chatbot based on AI. The chatbot reacts in a human-like manner and can grasp simple language. It is based on the language model GPT-3.5. The prototype of the chatbot was unveiled on November 30, 2022.
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➡️ About Post Graduate Program In AI And Machine Learning
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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- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
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