🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐌𝐚𝐬𝐭𝐞𝐫 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 : https://www.edureka.co/masters....-program/business-in (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
In this video on Business Analyst Full Course, you will look at topics like the need for having a business analyst, business analyst responsibilities and skills, business analysis knowledge areas, a demo on business analysis with excel, and business analyst vs data analyst. So, let's get started with this business analyst training for beginners! Topics Covered:
00:00:00 Introduction
00:01:16 Agenda
00:02:11 How to become a Business Analyst?
00:14:03 What Does a Business Analyst Do?
00:20:49 Predictive Analysis Using Python
00:46:49 Data Analytics Using Excel
01:03:36 Charts In Excel
01:21:46 Pivot Tables
01:42:35 Agile Methodology
01:47:30 What is Agile
01:51:29 Key Terms of Agile
01:55:39 How to Implement Agile
02:16:20 Scrum Methodology
02:47:24 How to Become BI Analyst
03:01:02 Roles & Responsibilities of BI Analyst
03:02:34 BI Analyst Interview Question & Answers
03:12:30 Intermediate Interview Questions
03:17:54 Advanced Level Interview Questions


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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔵 React Online Training: http://bit.ly/3Vc4yDw
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🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
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🔵 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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🔵 Python Online Training: http://bit.ly/3Oubt8M
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🔴 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

📢📢 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
📌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/

Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

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𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞 (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/python-....programming-certific
This Edureka "𝐏𝐲𝐭𝐡𝐨𝐧 𝐅𝐮𝐥𝐥 𝐂𝐨𝐮𝐫𝐬𝐞" video will help you learn the Python programming language and core python concepts with examples from scratch. This python for beginners tutorial is the best video to start learning python programming language with examples.
00:00:00 Introduction
00:02:18 What is Python?
00:03:16 Why is python popular
00:04:32 Features of python
00:06:27 Where is python used in the industry
00:07:25 Learning path
00:08:52 career opportunities
00:09:59 Python installation
00:13:01 Naming conventions
00:13:37 Variables
00:18:19 Datatypes in python
00:23:11 Flow control( loops, conditional statements, loop control statements)
00:24:20 Conditional statements
00:34:17 Loops
00:47:06 Functions
00:59:10 data structures
01:17:52 Algorithms
01:55:18 OOPs in python ( class, objects, methods )
02:06:53 Inheritance
02:15:24 polymorphism
02:19:44 Encapsulation
02:27:00 Abstraction
02:31:34 What are Comments in Python
02:41:00 Operators in Python
02:41:56 Variables and Datatypes
03:03:58 Tuples in Python
03:17:10 Sets in Python
03:32:30 Dictionary Vs List
03:38:17 Use Cases
03:46:44 Loops in Python
04:30:22 Functions in Python
05:26:55 Arrays in Python
05:32:28 Accessing Array Elements
05:48:30 Looping through an Array
05:52:11 Inheritance in Python
05:55:07 Init Function
05:58:07 Types of Inheritance
06:06:08 Exception handling in python
06:08:53 Process of Exception handling
06:24:55 Requests in Python
06:33:13 Cookies and Headers
06:35:02 Session Object
06:48:00 DateTime Module
06:52:58 Python RegEX
07:03:28 Regular Expression Operations
07:34:10 File Handling in Python
07:57:45 How to Connect Python with MySQL DB
08:21:59 Socket Programming in Python
08:36:57 Transferring Objects in Python
08:41:35 Numpy Python
08:51:48 Numpy Operations
09:12:18 Python Pandas
10:13:10 PLotting with Pandas
10:14:42 Python Matplotlib
10:16:42 What is Data Visualization
10:47:28 Python Interview Questions and Answers
10:47:40 Basic Python Questions
11:25:12 Django Questions
11:38:45 Web Scraping Using Python Questions


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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
🌕 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

📢📢 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

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.

🔥 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 : https://www.edureka.co/masters....-program/machine-lea (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka video on "Artificial Intelligence Full Course" will provide you with a comprehensive and detailed knowledge of Artificial Intelligence concepts with hands-on examples.
00:00:00 Introduction
00:01:16 Agenda
00:02:22 What is AI
00:15:38 Examples of AI
00:21:16 Deep learning IS machine learning
00:26:53 AI Explained
00:28:19 AI Vs ML Vs DL
00:29:09 Importance of AI
00:31:23 Types of AI
00:32:53 Applications of AI
00:37:33 Domains of AI
00:40:21 Job Profiles in AI
00:43:54 Object Detection
00:55:28 How to become an AI Engineer
01:07:55 Stages of AI
01:12:54 Domains of AI
01:15:42 AI With Python
01:38:50 Introduction to ML
01:49:42 Types of ML
01:59:13 ML Algorithm
02:14:17 Limitations of ML
02:16:15 Introduction to DL
02:20:09 Use Cases of DL
02:43:05 NLP
02:47:13 What is NLP
02:48:13 Applications of NLP
03:05:56 TensorFlow Explained
03:15:41 TensorFlow
03:22:17 Hands-On
03:30:48 Convolutional Neural Networks
03:36:00 Convolutional Layer
03:46:44 Use Cases
03:56:25 What are Artificial Neural Networks
04:08:43 Training a Neural Network
04:20:05 Applications of Neural Network
04:23:11 Recurrent Neural Network
04:35:10 Long Short-Term Memory Networks
04:44:47 Long Short-Term Memory Networks - Use Case
04:52:04 Keras
05:02:40 Use Case With Keras
05:17:10 A* Algorithm in AI
05:41:52 Cognitive AI
05:46:51 COgnitive AI - Use Cases
05:50:14 Q Learning Explained
06:04:49 Transitioning to Q Learning
06:16:37 Water Jug Problem in AI
06:38:21 ChatGpt Explained
06:47:59 Dangers of AI
06:53:48 What AI is Like Right Now?
07:00:28 Mid-term dangers
07:08:43 What Does the Future Hold
07:10:41 Knowledge Representation in AI
07:26:10 Hill Climbing Algorithm
07:55:20 TOp 10 APplications of AI
08:09:59 Top 10 AI technologies
08:19:03 Top 10 Benefits of AI
08:30:52 AI Roadmap
08:42:21 AI Interview Questions & Answers

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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
🌕 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

📢📢 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
📌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


Got a question on the topic? Please share it in the comment section below and our experts will answer.

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

AI teaches itself to play flappy bird
huge thanks to Brilliant.org for sponsoring this video
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Speakers
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https://www.linkedin.com/in/jeffboudier/

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https://www.linkedin.com/in/gregloughnane/

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AI Teaches Itself to Walk!

In this video an AI named Albert learns how to walk to escape 5 rooms I created. The AI was trained using Deep Reinforcement Learning, a method of Machine Learning which involves rewarding the agent for doing something correctly, and punishing it for doing anything incorrectly. Albert's actions are controlled by a Neural Network that's updated after each attempt in order to try to give Albert more rewards and less punishments over time. Check the pinned comment for more information on how the AI was trained!

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Welcome! Join us for a live workshop where you can follow along with AWS instructors Antje and Chris as they share about Practical Data Science on AWS: Generative AI.

We will be taking questions during the event. Please submit your question or upvote others' here:
https://app.sli.do/event/mERNmkT3dGskssVEhsLCkK

Speakers
Antje Barth, Principal Developer Advocate, AI/ML at AWS
https://www.linkedin.com/in/antje-barth/

Chris Fregly, Principal Engineer, AI/ML at AWS
https://www.linkedin.com/in/cfregly/

Dr. Greg Loughnane, Head of Product & Curriculum at FourthBrain
https://www.linkedin.com/in/gregloughnane/

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Welcome, to the Building with Instruction-Tuned LLMs: A Step-by-Step Guide workshop!

We will be taking questions during the event. Please submit your question or upvote others' here:
https://app.sli.do/event/erFLUz3s8yWhRZkFAkSx9b

Speakers
Dr. Greg Loughnane, Head of Product & Curriculum at FourthBrain
https://www.linkedin.com/in/gregloughnane/

Chris Alexiuk, is an LLM Instructor at FourthBrain
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This Deep Learning full course covers all the concepts and techniques that will help you become an expert in Deep Learning. First, you will learn the basics of Deep Learning and understand how to install TensorFlow, what is TensorFlow, TensorFlow Object detection API works, different Deep Learning frameworks, convolutional neural networks, recurrent neural networks in Python, Deep Learning applications and look at the essential interview questions.

Dataset link - https://drive.google.com/drive..../folders/1COH2WuRtru

Below topics are explained in this Deep Learning full course video:
1.Deep Learning: 02:13
2.Working of neural networks: 02:25
3.Horus Technology: 06:10
4.What is Deep Learning?: 06:50
5.Image Recognition: 07:00
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7.Applications of Deep Learning: 11:40
8.What is a Neural Network?: 18:10
9.Biological Neuron vs Artificial Neuron: 21:20
10.Why are Deep Neural Nets hard to train?: 39:10
11.Neural Network Prediction: 42:00
12.Top Deep Learning Libraries: 1:12:50
13.Why TensorFlow?: 1:14:00
14.What is TensorFlow?: 1:16:10
15.What are Tensors?: 1:17:30
16.What is a Data Flow graph?: 1:20:20
17.Program Elements in TensoFlow: 1:22:50
18.TensorFlow program basics: 1:29:40
19.Use case Implementation using TensoFlow: 2:01:16
20.TensorFlow Object Detection: 2:20:46
21.COCO Dataset: 2:21:56
22.TensorFlow Object Detection API Tutorial: 2:31:46
23.Deep Learning Frameworks: 2:42:26
24.Keras: 2:45:16
25.PyTorch: 2:47:26
26.How image recognition works?: 3:18:16
27.How CNN recognizes images?: 3:26:06
28.Types of Recurrent Neural Network: 4:29:13
29.Working of LSTMs: 4:37:53
30.Deep Learning Applications: 5:16.21


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Confused about understanding machine learning models? Well, this video will help you grab the basics of each one of them. From what they are, to why they are used, and what purpose do they serve.

All Major Software Architecture Patterns Explained in 7 Minutes | Meaning, Design, Models & Examples
https://www.youtube.com/watch?v=ZTVAs9cNo30

7 Basic Machine Learning Concepts for Beginners
https://www.youtube.com/watch?v=4hlSztfaqoI

What is Deep Learning and How it Works | Deep Learning Explained
https://www.youtube.com/watch?v=DfRc3CeXLXw

Machine Learning Model Deployment Explained
https://www.youtube.com/watch?v=SHyFjJ-tIJE

What is Neural Network and How it Works | Neural Network Explained
https://www.youtube.com/watch?v=Ulx2CuMCyzI

What is Data Science Project Life Cycle Explained Step by Step
https://www.youtube.com/watch?v=vN5uZZ1h7VE

After watching this video, you'll be able to answer,
- How many machine learning models are there
- Some common machine learning models explained
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This Deep Learning full course covers all the concepts and techniques that will help you become an expert in Deep Learning. First, you will learn the basics of Deep Learning and understand how to install TensorFlow, what TensorFlow is, TensorFlow Object detection API works, different Deep Learning frameworks, convolutional neural networks, recurrent neural networks in Python, Deep Learning applications, and look at the essential interview questions.

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Dataset link - https://drive.google.com/drive..../folders/1COH2WuRtru

Below topics are explained in this Deep Learning full course video:
1. Deep Learning
2. Working of neural networks
3. Horus Technology
4. What is Deep Learning?
5. Image Recognition
6. Why do we need Deep Learning?
7. Applications of Deep Learning
8. What is a Neural Network?
9. Biological Neuron vs Artificial Neuron
10. Why are Deep Neural Nets hard to train?
11. Neural Network Prediction
12. Top Deep Learning Libraries
13. Why TensorFlow?
14. What is TensorFlow?
15. What are Tensors?
16. What is a Data Flow graph?
17. Program Elements in TensorFlow
18.TensorFlow program basics
19. Use case Implementation using TensorFlow
20.TensorFlow Object Detection
21. COCO Dataset
22.TensorFlow Object Detection API Tutorial
23. Deep Learning Frameworks
24. Keras
25.PyTorch
26. How image recognition works?
27. How does CNN recognizes images?
28. Types of Recurrent Neural Network
29. Working of LSTMs
30. Deep Learning Applications


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Learn the basics of computer vision with deep learning and how to implement the algorithms using Tensorflow.

Author: Folefac Martins from Neuralearn.ai
More Courses: www.neuralearn.ai
Link to Code: https://colab.research.google.....com/drive/18u1KDx-96
YouTube Channel: https://www.youtube.com/@neuralearn

⭐️ Contents ⭐️

Introduction
⌨️ (0:00:00) Welcome
⌨️ (0:05:54) Prerequisite
⌨️ (0:06:11) What we shall Learn

Tensors and Variables
⌨️ (0:12:12) Basics
⌨️ (0:19:26) Initialization and Casting
⌨️ (1:07:31) Indexing
⌨️ (1:16:15) Maths Operations
⌨️ (1:55:02) Linear Algebra Operations
⌨️ (2:56:21) Common TensorFlow Functions
⌨️ (3:50:15) Ragged Tensors
⌨️ (4:01:41) Sparse Tensors
⌨️ (4:04:23) String Tensors
⌨️ (4:07:45) Variables

Building Neural Networks with TensorFlow [Car Price Prediction]
⌨️ (4:14:52) Task Understanding
⌨️ (4:19:47) Data Preparation
⌨️ (4:54:47) Linear Regression Model
⌨️ (5:10:18) Error Sanctioning
⌨️ (5:24:53) Training and Optimization
⌨️ (5:41:22) Performance Measurement
⌨️ (5:44:18) Validation and Testing
⌨️ (6:04:30) Corrective Measures

Building Convolutional Neural Networks with TensorFlow [Malaria Diagnosis]
⌨️ (6:28:50) Task Understanding
⌨️ (6:37:40) Data Preparation
⌨️ (6:57:40) Data Visualization
⌨️ (7:00:20) Data Processing
⌨️ (7:08:50) How and Why ConvNets Work
⌨️ (7:56:15) Building Convnets with TensorFlow
⌨️ (8:02:39) Binary Crossentropy Loss
⌨️ (8:10:15) Training Convnets
⌨️ (8:23:33) Model Evaluation and Testing
⌨️ (8:29:15) Loading and Saving Models to Google Drive

Building More Advanced Models in Teno Convolutional Neural Networks with TensorFlow [Malaria Diagnosis]
⌨️ (8:47:10) Functional API
⌨️ (9:03:48) Model Subclassing
⌨️ (9:19:05) Custom Layers

Evaluating Classification Models [Malaria Diagnosis]
⌨️ (9:36:45) Precision, Recall and Accuracy
⌨️ (10:00:35) Confusion Matrix
⌨️ (10:10:10) ROC Plots

Improving Model Performance [Malaria Diagnosis]
⌨️ (10:18:10) TensorFlow Callbacks
⌨️ (10:43:55) Learning Rate Scheduling
⌨️ (11:01:25) Model Checkpointing
⌨️ (11:09:25) Mitigating Overfitting and Underfitting

Data Augmentation [Malaria Diagnosis]
⌨️ (11:38:50) Augmentation with tf.image and Keras Layers
⌨️ (12:38:00) Mixup Augmentation
⌨️ (12:56:35) Cutmix Augmentation
⌨️ (13:38:30) Data Augmentation with Albumentations

Advanced TensorFlow Topics [Malaria Diagnosis]
⌨️ (13:58:35) Custom Loss and Metrics
⌨️ (14:18:30) Eager and Graph Modes
⌨️ (14:31:23) Custom Training Loops

Tensorboard Integration [Malaria Diagnosis]
⌨️ (14:57:00) Data Logging
⌨️ (15:29:00) View Model Graphs
⌨️ (15:31:45) Hyperparameter Tuning
⌨️ (15:52:40) Profiling and Visualizations

MLOps with Weights and Biases [Malaria Diagnosis]
⌨️ (16:00:35) Experiment Tracking
⌨️ (16:55:02) Hyperparameter Tuning
⌨️ (17:17:15) Dataset Versioning
⌨️ (18:00:23) Model Versioning

Human Emotions Detection
⌨️ (18:16:55) Data Preparation
⌨️ (18:45:38) Modeling and Training
⌨️ (19:36:42) Data Augmentation
⌨️ (19:54:30) TensorFlow Records

Modern Convolutional Neural Networks [Human Emotions Detection]
⌨️ (20:31:25) AlexNet
⌨️ (20:48:35) VGGNet
⌨️ (20:59:50) ResNet
⌨️ (21:34:07) Coding ResNet from Scratch
⌨️ (21:56:17) MobileNet
⌨️ (22:20:43) EfficientNet

Transfer Learning [Human Emotions Detection]
⌨️ (22:38:15) Feature Extraction
⌨️ (23:02:25) Finetuning

Understanding the Blackbox [Human Emotions Detection]
⌨️ (23:15:33) Visualizing Intermediate Layers
⌨️ (23:36:20) Gradcam method

Transformers in Vision [Human Emotions Detection]
⌨️ (23:57:35) Understanding ViTs
⌨️ (24:51:17) Building ViTs from Scratch
⌨️ (25:42:39) FineTuning Huggingface ViT
⌨️ (26:05:52) Model Evaluation with Wandb

Model Deployment [Human Emotions Detection]
⌨️ (26:27:13) Converting TensorFlow Model to Onnx format
⌨️ (26:52:26) Understanding Quantization
⌨️ (27:13:08) Practical Quantization of Onnx Model
⌨️ (27:22:01) Quantization Aware Training
⌨️ (27:39:55) Conversion to TensorFlow Lite
⌨️ (27:58:28) How APIs work
⌨️ (28:18:28) Building an API with FastAPI
⌨️ (29:39:10) Deploying API to the Cloud
⌨️ (29:51:35) Load Testing with Locust

Object Detection with YOLO
⌨️ (30:05:29) Introduction to Object Detection
⌨️ (30:11:39) Understanding YOLO Algorithm
⌨️ (31:15:17) Dataset Preparation
⌨️ (31:58:27) YOLO Loss
⌨️ (33:02:58) Data Augmentation
⌨️ (33:27:33) Testing

Image Generation
⌨️ (33:59:28) Introduction to Image Generation
⌨️ (34:03:18) Understanding Variational Autoencoders
⌨️ (34:20:46) VAE Training and Digit Generation
⌨️ (35:06:05) Latent Space Visualization
⌨️ (35:21:36) How GANs work
⌨️ (35:43:30) The GAN Loss
⌨️ (36:01:38) Improving GAN Training
⌨️ (36:25:02) Face Generation with GANs

Conclusion
⌨️ (37:15:45) What's Next

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ChatGPT, an extraordinary creation of artificial intelligence. Born from the brilliance of OpenAI's GPT-3.5 architecture, ChatGPT is designed to engage, educate, and entertain. With a vast expanse of knowledge and the ability to adapt to individual preferences, ChatGPT is here to provide valuable insights, answer questions, and spark captivating conversations. From exploring various subjects to assisting with creative endeavors, ChatGPT is ready to embark on a journey of discovery with you. Whether you are a marketing expert, cybersecurity expert, a developer or a blogger, ChatGPT is all you need!
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09:08:34 Will ChatGPT and Bard Take Over SEO?

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Get a brief introduction to software development lifecycle in just 5 minutes! So lets understand what is software development !
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In this video on 'The introduction to Software Development Life Cycle,' we will look into the multiple phases of software application development. These different phases are designed to produce the most optimized result for the software's functioning, and each phase acts based on multiple pre-designed protocols and steps.

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What software development?
The term "software development" often refers to computer science operations such as developing, deploying, and maintaining software.
The set of instructions or programs known as software is what directs a computer's operations. It works independently of hardware and enables programming on computers.

Who are software developers?
A software developer is a person who uses programming and design knowledge to build software that meets the needs of the user.

Software development programming languages?
HTML - Html is a Hypertext Markup Language that describes the structure of an application

JAVA - Many useful software development tools like Eclipse, NetBeans, and many more are written in Java. Nowadays, Java is often the default choice for scientific applications.

C - C is widely used to develop compilers and low-level programs and works closely with computer hardware. Many other language compilers are created using C.

PYTHON - Python is most commonly used for developing software and websites, task automation, and data visualization since it's easy to learn.

R - Using R, you will be able to build R packages, develop custom visualizations, and many more to solve data science problems.

CSS - Cascading Style sheets are the fundamental lingerie for software development. It will help you to learn how to create and access web pages.

JAVA SCRIPT MANY MORE - This is used to create an interactive web page with simple functions and designs and is user-friendly.

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Software Development Life Cycle (SDLC), refers to the combination of multiple phases that are pre-designed to produce the most optimized software product and to develop it according to the client's request.

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This full course " Project Management Basics For Beginners" is an all in one guide for the beginners in this domain. A lot of people want to make a career in this field but lack the understanding of where to start learning and how to learn project management. There are definitely a lot of resources available out on the internet but they are just as confusing. Keeping this in mind, we at Simplilearn have created this amazing and comprehensive Project Management Basics course specifically for people who want to venture in the field of Project Management or people who want to have a refresher of the most important and most fundamental concepts. In this video we will be covering everything from scratch, so whether you are a beginner or someone who is looking to upskill this video os for all.

00:00 Introduction to Project Management
What is Project Management
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