Gemini Man (2019) - Epic Sniper Scene 4K
Gemini Man - Epic Sniper: Henry (Will Smith) pulls off a one-in-a-million shot.

CREDITS:
TM & © Paramount (2019)
Cast: Will Smith
Director: Ang Lee
Screenwriter: Billy Ray, Darren Lemke, David Benioff

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐁𝐥𝐨𝐜𝐤𝐜𝐡𝐚𝐢𝐧 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 : https://www.edureka.co/blockchain-training (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka Blockchain Development Training video will give you a complete fundamental understanding on blockchain development to set your career as a blockchain developer. This video helps you to learn following topics:
00:00 Agenda
00:50 What is Blockchain
04:39 Blockchain Profiles in the Market
05:35 Requirements for Blockchain Development
07:01 Blockchain Development Platforms
10:00 Hands On
28:04 Blockchain Roadmap

📝Feel free to comment your doubts in the comment section below, and we will be happy to answer📝

-------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧---------

🔵 DevOps Online Training:https://bit.ly/3r7xtvQ
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---------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬---------

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--------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝗼𝘀𝘁 𝗚𝗿𝗮𝗱𝘂𝗮𝘁𝗲 𝐂𝐨𝐮𝐫𝐬𝐞𝐬--------
🔵 Artificial and Machine Learning PGD with E & ICT Academy
NIT Warangal: https://bit.ly/3Kji6bb
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📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟐 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩𝐓𝐨𝐩 𝟏𝟎 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟮: https://bit.ly/3yhEs7S
⏩𝐓𝐨𝐩 𝟏𝟎 𝐇𝐢𝐠𝐡𝐞𝐬𝐭 𝐏𝐚𝐲𝐢𝐧𝐠 𝐉𝐨𝐛𝐬 𝐅𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3HcpPG6
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⏩𝐓𝐨𝐩 𝟏𝟎 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3gH57mr

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About Course
About the Blockchain training course
Edureka’s best Blockchain Training provides you with an in-depth knowledge of the technology underlying various platforms such as Bitcoin, Ethereum, Hyperledger and MultiChain. As a beginner, you will be learning the importance of consensus in transactions, how transactions are stored on Blockchain, history of Bitcoin and how to use Bitcoin. In this Blockchain training you will be then taught about the Ethereum platform and how to develop custom smart contracts using Solidity and Remix IDE and deploy them on the test Blockchain network using Truffle, TestRPC and Web3.js. You will learn how to setup a private Blockchain using Multichain platform and cover the practical use cases of Blockchain in various industries.

What are the pre-requisites for this Blockchain Course?
Development experience with an Object-oriented language is required. Also, basic knowledge of networking and Linux would be advantageous. Experience with JavaScript, git will be beneficial. However, you will be provided with fundamentals of the following self-paced Blockchain developer certification courses as complimentary:

Linux Fundamentals
Node.js Fundamentals
JavaScript Training

🔥 Edureka Data Science Master Program Training Certification (Use Code: YOUTUBE20) : https://www.edureka.co/masters....-program/data-scient
This Edureka video on 'How to become a Data Scientist' will give you an insight into why the data scientist job is in such a high demand. It then elaborates on different roles and responsibilities of a Data Scientist and what skills are required to fulfill those roles and responsibilities. Then, it build a roadmap that you can follow to become a Data Science Wizard (i.e. Data Scientist) and also it briefly provides you with a sense of how much time it takes to go through the roadmap. The video ends with some incredibly useful resources and courses to help you achieve your goal of becoming a Data Scientist.

00:00:00 Agenda
00:01:28 Why Become a Data Scientist?
00:03:58 What does a Data Scientist do?
00:07:14 Skills Required
00:09:50 How to become a Data Scientist?
00:18:35 Useful Resources

Following pointers are covered in this How to Become an AI Engineer:
1) Why become a Data Scientist?
2) What does a Data Scientist do?
3) Skills required
4) How to become a Data Scientist
5) Useful Resources

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

Check out Edureka's Data Science Blog & Tutorial Series to learn more concepts of Data Science:

✅Blog Series: http://bit.ly/data-science-blogs
✅Data Science Tutorial Playlist: http://bit.ly/3tdteya

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#Edureka #DataScience #DataScientistRoadmap #DataScienceCareer #DataScienceCertification #DataScienceTraining #DataScienceMasterProgram #WhatIsDataScience #DataScienceIn2021 #DataScienceCourse #DataScienceEdureka #EdurekaTraining

------------Edureka Online Training and Certification-----------

🔵Data Science Online Training: https://bit.ly/2NCT239
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-----------Edureka Masters Programs--------------

🔵Data Scientist Masters Program: https://bit.ly/2YHaolS
🔵Machine Learning Engineer Masters Program: https://bit.ly/388NXJi
🟣Cloud Architect Masters Program: https://bit.ly/3i9z0eJ
🔵DevOps Engineer Masters Program: https://bit.ly/2B9tZCp
🟣Big Data Architect Masters Program: https://bit.ly/31qrOVv
🟣Business Intelligence Masters Program: https://bit.ly/2BPLtn2
🔵Python Developer Masters Program: https://bit.ly/2Vn7tgb
🟣RPA Developer Masters Program: https://bit.ly/3eHwPNf

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

About the Master's Program

This program follows a set structure with 6 core courses and 8 electives spread across 26 weeks. It makes you an expert in key technologies related to Data Science. At the end of each core course, you will be working on a real-time project to gain hands-on expertise. By the end of the program, you will be ready for seasoned Data Science job roles.

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

Why should I enroll for the Masters Program?

The Data Scientist Masters Program has been curated after thorough research and recommendations from industry experts. It will help you master concepts of Data Management, Statistics, Machine Learning and Big Data together with hands-on experience of tools & systems used by Data Scientists including Data Visualisation using Tableau. Edureka will be by your side throughout the learning journey - We’re Ridiculously Committed.

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

What are the prerequisites for enrollment?

There are no prerequisites for enrollment to the Masters Program. Whether you are an experienced professional working in the IT industry, or an aspirant planning to enter the world of Data Scientist, Masters Program is designed and developed to accommodate various professional backgrounds.

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

How long will it take me to be a Certified Data Science professional?

The recommended duration to complete this program is 34 weeks, however, it is up to the individual to complete this program as per their own pace

For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll-free)

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐎𝐩𝐬 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/devops-....certification-traini (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This DevOps tutorial takes you through what is DevOps all about and basic concepts of DevOps and DevOps Tools. This DevOps tutorial is ideal for beginners to get started with DevOps.
Topics Covered:
00:00:00 Introduction
00:04:50 Limitations of Waterfall Model
00:12:02 Limitations of Agile
00:14:44 Solution is DevOps!
00:19:14 What is DevOps?
00:25:39 DevOps Stages
00:29:20 Source Code Management
00:34:53 Continuous Integration
00:38:19 Continuous Deployment
00:41:52 Configuration Management
00:45:28 Containerization
00:49:21 Continuous Monitoring

🔴 Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🌕 AWS Online Training: http://bit.ly/3ADYwDY
🌕 Azure Online Training: http://bit.ly/3i4P85F

🔴 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
🔵 Cyber Security Masters Program: http://bit.ly/3U25rNR
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🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

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

📢📢 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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What will you learn as a part of this DevOps course?

This DevOps training course is designed keeping in mind the latest trends in the industry. The course focuses on creating a strong base for various DevOps tools including Git, Jenkins, Docker, Ansible, Kubernetes, Prometheus and Grafana, and Terraform. The training is completely hands-on oriented and designed in a way that will help you in becoming a certified practitioner by providing you an intensified training for the best practices about Continuous Development, Continuous Testing, Configuration Management, including Continuous Integration and Continuous Deployment and finally Continuous Monitoring of the software throughout its development life cycle.

What are the pre-requisites for this DevOps Certification Course?
Any Scripting Language Knowledge
Linux Fundamentals
To help you brush up these skills, you will get the following self-paced modules as pre-requisites in your LMS:
Python Scripting
Linux Fundamentals

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

Welcome to part 3 of the sockets tutorial with Python. We've learned how to send and receive string data via sockets, and now I want to talk about is pickles. Not the food, but the serialization technique in Python.

Text-based tutorial and sample code: https://pythonprogramming.net/....pickle-objects-socke

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In a quest to teach neural networks via transformers to write Python code. Project name: Generative Python Transformers!

Neural Networks from Scratch book: https://nnfs.io
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We'll be using the numpy module to convert data to numpy arrays, which is what Scikit-learn wants. We will talk more on preprocessing and cross_validation when we get to them in the code, but preprocessing is the module used to do some cleaning/scaling of data prior to machine learning, and cross_ alidation is used in the testing stages. Finally, we're also importing the LinearRegression algorithm as well as svm from Scikit-learn, which we'll be using as our machine learning algorithms to demonstrate results.

At this point, we've got data that we think is useful. How does the actual machine learning thing work? With supervised learning, you have features and labels. The features are the descriptive attributes, and the label is what you're attempting to predict or forecast. Another common example with regression might be to try to predict the dollar value of an insurance policy premium for someone. The company may collect your age, past driving infractions, public criminal record, and your credit score for example. The company will use past customers, taking this data, and feeding in the amount of the "ideal premium" that they think should have been given to that customer, or they will use the one they actually used if they thought it was a profitable amount.

Thus, for training the machine learning classifier, the features are customer attributes, the label is the premium associated with those attributes.

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So now that you know the basics of what Pytorch is, let's apply it using a basic neural network example. The very first thing we have to consider is our data.

Text-based tutorials and sample code: https://pythonprogramming.net/....data-deep-learning-n

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#pytorch #deeplearning #machinelearning

Welcome to part 2 of the web scraping with Beautiful Soup 4 tutorial mini-series. In this tutorial, we're going to talk about navigating source code to get just the slice of data we want.

Tutorial code: https://pythonprogramming.net/....navigating-pages-scr

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The next loop is the For loop. The idea of the for loop is to "iterate" through something. For each thing in that something, it will do a block of code. Most often, you will a for loop's structure very much like

for eachThing in thisThing:
do this stuff
in this block
So, again, why would someone use each type of loop?

Typically, you will see the while loop being used for finite tasks that have predetermined length, and the for loop being used for tasks that have uncertain and variable time-frames.

That said, the for loop can be used for the exact same tasks as the while loop.

For this reason, I prefer the for loop myself, but again, it comes down to personal preference.

Python 3 Programming tutorial Playlist: http://www.youtube.com/watch?v=oVp1vrfL_w4&feature=share&list=PLQVvvaa0QuDe8XSftW-RAxdo6OmaeL85M

Sample code for this basics series: http://pythonprogramming.net/b....eginner-python-progr

This python 3 tutorial covers the for loop in python 3.3.3

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Text-based tutorial and sample code: https://pythonprogramming.net/....autoencoders-tutoria

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Here, we create a convolutional neural network using the same neural network that we used in the machine learning tutorial series: https://pythonprogramming.net/....tflearn-machine-lear

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Adding logic to the Starcraft 2 artificial intelligence to defend our main base.

Text-based tutorial: https://pythonprogramming.net/....defending-python-sc2

Asyncio basics: https://pythonprogramming.net/....asyncio-basics-inter

Neural Networks from Scratch book: https://nnfs.io
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Welcome to part 8 of the Deep Learning with Python, Keras, and Tensorflow series. In this tutorial, we're going to work on using a recurrent neural network to predict against a time-series dataset, which is going to be cryptocurrency prices.

Text tutorials and sample code: https://pythonprogramming.net/....cryptocurrency-recur

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In the previous tutorial, we covered how to use channels to send and receive values with goroutines. That said, it was just a basic example. In reality, we're likely to have questions of synchronization and iterating through known, or unknown, numbers of channel returns.

Text tutorials and sample code: https://pythonprogramming.net/go/
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Welcome to the next part of our Deep Learning with Python, TensorFlow, and Keras tutorial series. In this tutorial, we're going to continue building our cryptocurrency-price-predicting Recurrent Neural Network.

Text tutorials and sample code: https://pythonprogramming.net/....balancing-rnn-data-d

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