Learn basic computer and technology skills. This course is for people new to working with computers or people that want to fill in some gaps about their computer knowledge.

✏️ This course was developed by GCF Global. Check out their YouTube channel: https://www.youtube.com/c/GcflearnfreeOrgplus
🔗 GCF Global offers more free learning resources at their website: https://www.GCFLearnFree.org

⭐️ Course Contents ⭐️
⌨️ (00:00:00) Introduction
⌨️ (00:00:55) What Is a Computer?
⌨️ (00:03:37) Buttons and Ports on a Computer
⌨️ (00:06:01) Basic Parts of a Computer
⌨️ (00:08:47) Inside a Computer
⌨️ (00:10:58) Getting to Know Laptop Computers
⌨️ (00:12:55) Understanding Operating Systems
⌨️ (00:14:21) Understanding Applications
⌨️ (00:15:53) Setting Up a Desktop Computer
⌨️ (00:18:47) Connecting to the Internet
⌨️ (00:22:41) What Is the Cloud?
⌨️ (00:25:06) Cleaning Your Computer
⌨️ (00:29:02) Protecting Your Computer
⌨️ (00:32:17) Creating a Safe Workspace
⌨️ (00:36:25) Internet Safety: Your Browser's Security Features
⌨️ (00:38:36) Understanding Spam and Phishing
⌨️ (00:43:27) Understanding Digital Tracking
⌨️ (00:45:39) Windows Basics: Getting Started with the Desktop
⌨️ (00:47:40) Mac OS X Basics: Getting Started with the Desktop
⌨️ (00:52:26) Browser Basics


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This Data Science Interview Questions and Answers video will help you to prepare yourself for Data Science and Big Data Analytics interviews. This video is ideal for both beginners as well as professionals who want to learn or brush up their concepts in Data Science, Big Data Analytics and Machine Learning.

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🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

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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.

In 2018 the kg will be defined by Planck's constant, not a hunk of metal.
Try a free book from Audible for 30 days http://ve42.co/audible
Special thanks to the staff at NIST who made this possible: Darine Haddad, Jon Pratt, Stephan Schlamminger, and Ben Stein.

Additional footage and animations by Sean Kelley, Jennifer Lauren Lee, and Frank Seifert.

I have been obsessed with measurement for a long time and I'm not sure quite how it happened. The world's roundest object played a role in this. I guess I'm just fascinated by how difficult it is to pin down a quantity like a kilogram. A physical object seemed like a good idea until the mass of the international prototype kilogram wasn't as constant as expected. These methods of the Kibble balance and silicon sphere have shown better precision than 20 parts per billion, making them superior to the old method. The agreement between Avogadro approaches

Special thanks to Patreon Supporters:
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Interferometer video by TSG Physics: https://www.youtube.com/watch?v=j-u3IEgcTiQ

Music from http://epidemicsound.com "ExperiMental1" by Gunnar Johnsén

Studio filming by Raquel Nuno

Know more : http://goo.gl/d95N88

🔥Edureka Machine Learning Engineer Masters Program: https://www.edureka.co/masters....-program/machine-lea
This Edureka session on "Machine Learning Engineer Career Path 2021" is part of the Machine Learning Tutorial which covers all the basic aspects of becoming a certified Machine Learning Engineer. It establishes concepts like roles, responsibilities, skills, salaries, and even trends to get you up to speed with Machine learning. The path to becoming a machine learning engineer is further covered through the following topics of this machine learning tutorial:
00:00 Introduction to Machine Learning Tutorial
06:20 Who is Machine Learning Engineer
08:03 What does an ML Engineer Do?
13:11 ML Engineer Roles, Responsibilities and Skills
17:02 Career in Machine Learning

Machine Learning Tutorial Playlist: http://bit.ly/2taym8X
Machine Learning Tutorial Blog Series: http://bit.ly/38zIs74

#Edureka #MachineLearningEdureka #machinelearningengineer #mlengineer #mltutorial #machinelearningtutorial #machinelearning

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Edureka's Machine Learning Master's Program

🟠 Python Programming Certification Course: https://www.edureka.co/python-....programming-certific
🔵Machine Learning Certification Training using Python: https://www.edureka.co/machine....-learning-certificat
🟠Graphical Models Certification Training: https://www.edureka.co/graphical-modelling-course
🔵Reinforcement Learning: https://www.edureka.co/reinfor....cement-learning-cour
🟠Natural Language Processing with Python Certification: https://www.edureka.co/python-....natural-language-pro
🔵Deep Learning with TensorFlow 2.0 Certification Training: https://www.edureka.co/ai-deep....-learning-with-tenso
🟠Python Spark Certification Training using PySpark: https://www.edureka.co/pyspark....-certification-train

🟠 Elective Course 🟠
Python Scripting Certification Training: https://www.edureka.co/python-scripting

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--------------------------------------------
About the Machine Learning Master's Program

Machine Learning Engineer Masters Program has been curated after thorough research and recommendations from industry experts. It will help you master concepts of Neural Networks in depth along with other concepts like Python Programming, Artificial Intelligence, Machine learning, Deep Learning, NLP, Graphical Modelling and Reinforcement Learning along with hands-on experience of tools and systems used by the Industry experts. Edureka will be by your side throughout the learning journey - We’re Ridiculously Committed.


--------------------------------------
Why learn Machine Learning with Python?

Edureka's Machine Learning Masters Program 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.
--------------------------------------
What will you learn in Python Machine Learning Training?

Topics covered but not limited to will be: Python Programming, PySpark, HDFS, Spark SQL, Machine Learning Techniques and Artificial Intelligence Types, Tokenisation, Named Entity Recognition, Lemmatisation, Supervised Algorithms, Unsupervised Algorithms, Tensor Flow, Deep learning, Keras, Neural Networks, Bayesian and Markov’s Models, Inference, Decision Making, Bandit Algorithms, Bellman Equation, Policy Gradient Methods.

--------------------------------------
Who should go for this Machine Learning Certification Training using Python?

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

Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information

🔥Edureka Python Certification Training: https://www.edureka.co/machine....-learning-certificat
This Edureka video on 'Support Vector Machine Tutorial' covers A brief introduction to Support Vector Machine in Python with a use case to implement SVM using Python.

🔷🔸About the Speaker🔸🔷
Name: Dr. Rajesh Kumar
Details:
◾Data Science Head at SCG Chemicals
◾Ex - Ernst & Young, Ex-Intel, Ex - Mercedes Benz
◾16 years of experience spanning across IT Services, Petrochemicals, Hi-Tech, Business Consulting, Supply Chain, and Automotive Industries.
◾A Ph.D. holder from the Indian Institute of Science
----------------------------------------------------------------------------------
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#Edureka #PyhtonEdureka #Supportvectormachineinpython #pythonprojects #pythonprogramming #pythontutorial #PythonTraining #PythonEdureka learn #withme


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


How it Works?
1. This is a 5 Week Instructor-led Online Course,40 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!

- - - - - - - - - - - - - - - - -
About the Course

Edureka's Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you:

1. Master the Basic and Advanced Concepts of Python
2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs
3. Master the Concepts of Sequences and File operations
4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python
5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application
6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn
7. Master the concepts of MapReduce in Hadoop
8. Learn to write Complex MapReduce programs
9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python
10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics
11. Master the concepts of Web scraping in Python
12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience
- - - - - - - - - - - - - - - - - - -

Why learn Python?

Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain.

Who should go for python?

Edureka’s Data Science certification course in Python is a good fit for the below professionals:


· Programmers, Developers, Technical Leads, Architects
· 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


For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free)

In this video, we dive deep into Generative AI, exploring the power of Large Language Models like ChatGPT. Discover how these advanced models generate human-like text and uncover their possibilities for various applications. Want to learn more about it? Visit our blog for an in-depth exploration of Generative AI, LLMs, and ChatGPT's capabilities! https://bit.ly/3WXuHIi

#artificialintelligence #generativeai #largelanguagemodels #gpt #chatgpt #deeplearning #machinelearning #explainervideo #simpleshow

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MIT 8.04 Quantum Physics I, Spring 2013
View the complete course: http://ocw.mit.edu/8-04S13
Instructor: Allan Adams

In this lecture, Prof. Adams introduces wave functions as the fundamental quantity in describing quantum systems. Basic properties of wavefunctions are covered. Uncertainty and superposition are reiterated in the language of wavefunctions.

License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu

Sebastian's books: https://sebastianraschka.com/books/
The lecture slides are available at: https://github.com/rasbt/stat4....53-deep-learning-ss2

Introduction to Deep Learning and Generative Models (Spring 2020). Optional lecture 6.5, explaining how to use Google Colab for Jupyter notebooks with a free GPU.

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》Scene Details-------------------------------
Chameleon 00:00
siberian tiger 00:08
Chameleon Tongue Eating Predator 00:17
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Light Brown Butterfly 00:37
Black Cat 00:46
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Bird Feeding Fledgling 03:48
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Heron Bird Leaves Trunk 04:18
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macro of wild hawk 04:36
siberian tiger 04:43
lizards 04:53
peacock 05:01
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Snail close-up 05:30
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Siberian Tiger 08:03
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Cat celebrating christmas holidays 08:25
Chameleon Green 08:35
Sulphur crested cockatoo 08:45
Wet Coypu standing in grass field 08:50
Monarch Butterfly 08:58
Brown Butterfly 09:06
Snake slowly moving 09:15
Frog sitting on a leaf 09:15
Woodlark Bird Birding Wildlife 09:32
Green Snake 09:39
Wild White Wolf 09:47
Deer Shaking Wildlife 09:55
Dolphins Swimming Ocean 10:02
Cone Head Chameleon 10:13
Blue Pindani Fish 10:23
Leopard 10:32
Manatee Underwater Shallow Marine 10:41
Purple Jellyfish 10:50
Orange and Black Butterfly 10:57
Cow Highland 11:01
Zebra Safari Africa 11:10
Black Vulture Flock Costa_Rica 11:18
Peacock 11:25
Eurasian Wren Bird 11:35
Colorful Bird Wildlife 11:44
Chameleon Eye Scales Skin 11:53
Snake Crawling Corn 12:00
Common European Adder Snake 12:08
Bird Worms Coal 12:18
Impala Antelope Mammals Nature 12:28
Siberian Tiger 12:36
Arapaima Big Fish 12:43
Fish in Ocean 12:50
Chameleon 13:01
End Scene 13:30

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