🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐆𝐨𝐨𝐠𝐥𝐞 𝐂𝐥𝐨𝐮𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠: https://www.edureka.co/google-....cloud-architect-cert (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"
This Edureka video on '𝐖𝐡𝐚𝐭 𝐢𝐬 𝐆𝐨𝐨𝐠𝐥𝐞 𝐁𝐢𝐠𝐭𝐚𝐛𝐥𝐞' will give you an overview of cloud bigtable in Google Cloud Platform and will help you understand various concepts that concern GCP Bigtable.
Following pointers are covered in this Google Bigtable:
00:01:04 Why Google Bigtable?
00:04:39 What is Google Bigtable
00:05:20 Key Features
00:06:39 Architecture
00:07:48 Data Model
00:12:55 Use Cases

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

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

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📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
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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.

🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=18Jan2023WhatIsArtificialGeneralIntelligence&utm_medium=DescriptionFirstFold&utm_source=youtube
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In this video on what is artificial general intelligence, we will dive into the fascinating world of Artificial General Intelligence (AGI), where machines possess human-like cognitive abilities. Imagine a future where computers understand information and learn, reason, and adapt like humans. Moving forward we will discuss the difference between artificial intelligence and artificial general intelligence at the end we will see some future trends and examples of artificial general intelligence.

Artificial General Intelligence (AGI) represents a branch of theoretical AI exploration aiming to develop software exhibiting human-like intelligence and self-learning capabilities. The goal is to enable the software to undertake tasks beyond its specific training or initial development.

Existing AI operates within fixed limits. For instance, AI for image tasks can't create websites. AGI seeks to create autonomous AI with self-awareness, learn new skills, and solve problems.


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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.

✅ Key Features

- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
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- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

✅ Skills Covered

- ChatGPT
- Generative AI
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Excel Tutoring by simplilearn is a cimpleste Excel Full Course 2024 on basic fundamentals of excel. This Excel Tutorial For Beginners by Simplilearn covers the following.

00:00:00 Excel Basic Knowledge
00:05:22 How To Lock(Protect) Cells In Excel
00:23:31 Excel Print Page Setup
00:27:51 Goal Seek In Excel
00:30:20 How To Freeze Row In Excel Tutorial
00:48:20 Charts In Excel
00:51:40 Conditional Formatting In Excel
00:57:24 How to Count Colored Cells in Excel?
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02:06:22 How to implement Vstack Function In Excel
02:10:47 How To Convert PDF To Excel
02:13:20 Excel Round Off Formula
02:15:47 Combining Data From Multiple Cells In Excel
02:19:13 DateDif In Excel Explained
02:23:08 How To Change Date Format In Excel (dd/mm/yyyy) To (mm/dd/yyyy)
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03:09:53 Excel Tips And Tricks 2021
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03:35:29 Excel Budget Template 2021
03:45:37 Excel MIS Report
04:42:54 Excel Power Query Tutorial For Beginners
05:10:53 Pivot Tables In Excel

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➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
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✅ Skills Covered
- Data Analytics
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🔥Edureka NIT Warangal Post Graduate Program on AI and Machine Learning: https://www.edureka.co/nitw-ai-ml-pgp
This Edureka Machine Learning tutorial on "AI vs Machine Learning vs Deep Learning" talks about the differences and relationship between AI, Machine Learning and Deep Learning.

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------------Edureka Training and Certifications-----------

🔵 Machine Learning Course using Python: http://bit.ly/37CWMcy

🔵 Machine Learning Engineer Masters Program: http://bit.ly/320TkHy

🔵 Deep Learning using TensorFlow: http://bit.ly/2P0M1dv

🔵 PG in Artificial Intelligence and Machine Learning with NIT Warangal : https://www.edureka.co/post-gr....aduate/machine-learn

🔵 Post Graduate Certification in Data Science with IIT Guwahati - https://www.edureka.co/post-gr....aduate/data-science-
(450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies)

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#edureka #AIvsMLvsDL #ArtificialIntelligence #MachineLearning #DeepLearning
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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!

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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
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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.

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.

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

Customer Review

Sairaam Varadarajan, Data Evangelist at Medtronic, Tempe, Arizona: "I took Big Data and Hadoop / Python course and I am planning to take Apache Mahout thus becoming the "customer of Edureka!". Instructors are knowledge... able and interactive in teaching. The sessions are well structured with a proper content in helping us to dive into Big Data / Python. Most of the online courses are free, edureka charges a minimal amount. Its acceptable for their hard-work in tailoring - All new advanced courses and its specific usage in industry. I am confident that, no other website which have tailored the courses like Edureka. It will help for an immediate take-off in Data Science and Hadoop working."

( ** Deep Learning Training: https://goo.gl/4it6DE ** )
This Edureka PyTorch Tutorial video (Blog: https://goo.gl/4zxMfU) will help you in understanding various important basics of PyTorch. It also includes a use-case in which we will create an image classifier that will predict the accuracy of an image data-set using PyTorch.

Below are the topics covered in this tutorial:

1. What is Deep Learning?
2. What are Neural Networks?
3. Libraries available in Python
4. What is PyTorch?
5. Use-Case of PyTorch
6. Summary

Check our complete Deep Learning playlist: https://goo.gl/cck4hE

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#PyTorchTutorial #Python #Edureka

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How it Works?

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

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

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


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Who should go for this course?

The following professionals can go for this course:

1. Developers aspiring to be a 'Data Scientist'

2. Analytics Managers who are leading a team of analysts

3. Business Analysts who want to understand Deep Learning (ML) Techniques

4. Information Architects who want to gain expertise in Predictive Analytics

5. Professionals who want to captivate and analyze Big Data

6. Analysts wanting to understand Data Science methodologies

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

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

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

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