🔥Edureka Machine Learning Certification Training: https://www.edureka.co/machine....-learning-certificat
This Edureka video on 'Introduction To Machine Learning' is the first class in the Python Machine Learning Series which gives a brief introduction to Machine Learning along with types of Machine Learning, and why we use Python programming for Machine Learning.

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--------------------------
How it Works?

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. Machine Learning training will provide a 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 the python programming language and many more.
--------------------------
Why Learn Machine Learning using Python?

Data Science is a set of techniques that enables 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.
--------------------------
Who should go for this Machine Learning Certification Training using Python?
- 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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For more latest songs & videos, subscribe 👉 https://bit.ly/Saregama_Telugu

Ready to shake it up with some high voltage? Presenting you Dhop Lyrical Song from Game Changer.

Game Changer is an Upcoming 2025 Movie Starring Global Star Ram Charan, Kiara Advani, Anjali, Samuthirakani, SJ Surya, Srikanth, Sunil and others. Directed by Shankar. Produced by Dil Raju, Shirish and Adityaram, under the banners Sri Venkateswara Creations and Zee Studios. Music composed by Thaman S.

GRAND RELEASE WORLDWIDE ON JANUARY 10th, 2025.

#DhopLyricalSong #GameChanger #RamCharan #KiaraAdvani #ThamanS #Shankar #DilRaju #RoshiniJKV #Prudhvi #SruthiRanjani #RamaJogayyaSastry #Dhop #DhopTeluguSong #GameChangerSongs #TeluguSongs2024

A High-Octane Musical treat driven by the Vocals of Thaman S, Roshini JKV, Prudhvi & Sruthi Ranjani Modumudi. Music Composed by Thaman S. Lyrics Penned by Saraswati Putra Ramajogayya Sastry.

Song Details:
Song Name: Dhop
Singers: Thaman S, Roshini JKV, Prudhvi & Sruthi Ranjani Modumudi
Lyrics: Saraswati Putra Ramajogayya Sastry

Programmed & Arranged by Thaman S
Drum & Beat EDM Works: Beyond Sound (T)
Electronic vocal samples produced by Thaman S
Additional Programming: Siddhant Mishra & Osho V
Electric Violin: Sandilya (HYD)
Guitars: Jobin (MUM)
28Orchestra Brass recorded @Studio28 Bangkok,
Macedonian Symphonic Orchestra,
Fame’s: Orchestral Music Recording,
Contractor: Fame’s Macedonian,
Orchestra Coordinator: Andrew T. Mackay / Bohemia Junction Limited.
Jathi Vocals: Trivandrum Balaji
Additions on Dhop Vocal: Sruthi Ranjani
Backing Vocals: Sruthi Ranjani, Manisha, Harika, Sahithi, Adviteeya, Roshini JKV
Recorded At Prasad Studios (Hyd), V Studios (Chn) By Osho V & Hari
Vocal Supervision: Adviteeya Vojjala
Mouth organ: Kabuli (Chn)

Mix and Mastered by Abhishek Khandelwal @ YRF (Mumbai)
Assisted by - Dileep Nair

Musicians Co Ordinator: Manikandan K
Studio Manager: Seenu & Sridhar
Studio Assistance: Raju, Kannan, Lingam & Pawan

VFX Team (Dhop Song):

VFX Studio: Maadfam Studios
Founder & CEO: Suchit Mukherjee
Creatives & VFX Supervisor: Subroto Jalui
Head of Production: Shailesh Gautam
Studio Manager & Business Analyst: Sebian Mendonca

Movie Credits:
Director - Shankar
Producers - Raju, Shirish, Zee Studios
Tamil Producers: SVC, Adityaram
Cast - Ram Charan, Kiara Advani, Anjali, Samuthirakani, S J Surya, Srikanth, Sunil
Writer - Vivek
Story Line - Karthik Subbaraj
Co-Producer - Harshith
DOP - S Thirunavukkarasu
Music - Thaman S
Dialogues - Sai Madhav Burra
Executive Producer: SK Zabeer
Line Producer - N Narasimha rao
Art Director - Avinash Kolla, Rama Krishna, Monika
Action Choreographer - Anbariv
Dance Choreographers - Prabhudeva, Ganesh Acharya, Prem Rakshith, Bosco Leslie Martis, Jani, Sandy
Lyricists - Ramajogaiah Sastry, Ananta Sriram, Kasarla Shyam
Editors – Ruben, Shameer Muhammed
Sound Designer - T Uday Kumar
DI: Annapurna Studios
Colorist: Ashwath S
North PR: Communique Film PR (Sharlene Batlivala, Alpa Turakhia)
South PR: Beyond Media(Surendra Kumar, Phani Kandukuri), Satish( AIM)
Marketing: Marketing Director Varun Gupta( Max Marketing), TicketFactory(Akhilesh Vardhan, Suneeth Padolkar)
Zee Team
Saregama Team
Hindi Distribution By: AA Films
Overseas By: Shloka Entertainments
Assistant Editors:
Rahul R Manchery
Meganathan
Nithish Kumar V

Lyrics:
Pallavi :
Whakka wacka wacka wacka whatsay dhop
Laka laka laka laka lets say dhop
Happy Happy life-ku micro mantra dhop
Loved ones upset ayye argument dhop
Always nuvve loser ayye anger dhop
Enthalaanti stress-ku instantsolution dhop
Don’t worry don’t worry enough of injury
negative vibe-ki cheppey dhop
Bakery bakery ayyayyo calorie
teddy bear tummy ki cheppey thop
Chattery browzery time anthaa robbery
chaesae cell phone ku cheppey dhop
Disturbing memory ego and jealousy
overthink himsaku just say dhop
Stanza :
If you’re coming you’re coming everybody dhop
When you’re with me you’re with me everything is dhop
If you look at me look at me stress anthaa dhop
When you smile at me myself-eh dhop
Mana meeting ku meeting ku interval dhop
Mana touching ku touching ku hesitation dhop
Mana lipppuku lippuku distance-u dhop
Naa villain nee dress-ukku dhop


Label: Saregama India Limited, A RPSG Group Company

To buy Carvaan, visit https://www.saregama.com/carvaan/telugu
To buy virus free original tracks, visit https://www.saregama.com/musicstore
Follow us on: YouTube: @saregamasouth
Facebook: http://www.facebook.com/Saregamatelugu
X: https://twitter.com/saregamasouth

#RamCharan #Shankar #ThamanS #GameChanger #SaregamaTelugu

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐀𝐳𝐮𝐫𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) : https://www.edureka.co/microso....ft-certified-azure-s
This Edureka video on "Azure Portal” will give you a complete walkthrough to Microsoft Azure management console and help you use it to explore services it has to.

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐌𝐏 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐄𝐱𝐚𝐦 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/pmp-cer....tification-exam-trai 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka tutorial on Project Quality Management will give you an insight into the various process and activities covered during Project development in order to maintain and manage the quality of a project.
00:00:00 - Introduction
00:01:47 - Project Quality Management
00:05:42 - Quality Management Overview
00:12:40 - Quality Management Processes

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐓𝐚𝐛𝐥𝐞𝐚𝐮 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/tableau....-certification-train (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka video on "Data Blending in Tableau" talks about a method for combining data when there is related data in multiple data sources, which you want to analyze together in a single view. Tableau has two inbuilt data sources named Sample-superstore and Sample coffee chain.mdb which will be used to illustrate data blending.
We shall discuss the following topics:
00:00:00 Introduction
00:01:10 Objective of data blending
00:03:53 Introduction to Data Blending
00:04:12 Joining vs Blending
00:07:12 Blending in Tableau
00:10:13 Limitations of Data Blending

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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Welcome to a captivating journey into the future! In this video, we'll explore the Top 10 Future Technologies that are poised to revolutionize the way we live, work, and interact with the world. From groundbreaking advancements in artificial intelligence to mind-boggling innovations in biotechnology, join us as we unveil the cutting-edge technologies that will shape the next era of human progress. Fasten your seatbelts as we embark on a thrilling exploration of the tech wonders that await us in the not-so-distant future.

00:00 Top 10 Future Technologies For 2024
Edge Computing
Quantum Computing
Artificial Intelligence in Cybersecurity
Blockchain Beyond Cryptocurrency
5G Networks and IoT
Augmented Reality (AR) for Business
Cybersecurity for AI and IoT
Robotic Process Automation (RPA)
Cybersecurity for Quantum Computing
Artificial General Intelligence (AGI)

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- Artificial Intelligence in Cybersecurity
In 2024, AI defenses will combat sophisticated cyber threats in real time, safeguarding data and privacy. Beyond detecting known threats, machine learning adapts to new dangers, analyzing vast datasets for patterns and anomalies.

- Blockchain Beyond Cryptocurrency
Blockchain evolves beyond cryptocurrencies in 2024. It secures supply chains, authenticates digital identities, and transforms transactions. Its transparency disrupts industries, ensuring traceable supply chains and secure service access.
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AR transforms industries in 2024. Picture engineers visualizing machinery and surgeons enhancing precision with AR. It blurs physical-digital lines, offering step-by-step instructions in manufacturing and 3D anatomy models for precise surgeries in healthcare.

- Cybersecurity for AI and IoT
2024 brings focused cybersecurity for AI and IoT integration. Solutions will safeguard against AI algorithm vulnerabilities and protect IoT ecosystems from potential cyber threats.
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Bronze to Robotic Process Automation (RPA), the 2024 IT game-changer. It automates tasks, letting employees focus on creative work. RPA bots handle data entry to customer service, boosting efficiency across industries.

- Cybersecurity for Quantum Computing
At 2, cybersecurity adapts to quantum threats in 2024. Quantum-safe encryption and protocols emerge to safeguard data in the quantum computing era, countering the risk posed by traditional encryption vulnerabilities.

- Artificial General Intelligence (AGI)
2024's game-changer is Artificial General Intelligence (AGI). Revolutionizing industries from healthcare to finance, AGI automates complex decision-making, representing a monumental leap beyond specialized AI. Integration into various sectors, from healthcare diagnostics to financial analysis, is on the horizon.
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- Simplilearn's JobAssist helps you get noticed by top hiring companies
- 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

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This Edureka video on "DevOps Engineer Day-to-Day Activities" will help you understand the need for Kubernetes and how does it work.

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2024 - https://www.youtube.com/watch?v=vaLXPv0ewHU

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Generative Adversarial Network are very popular in the field of Deep Learning. In this video, you will learn what GANs are and understand about Generators and Discriminators. You will understand how GANs works and look at the mathematical equation of GAN. Finally, you will learn the types od GANs and see the different applications of GANs.

To access the slides, click here: https://www2.slideshare.net/Si....mplilearn/what-are-g

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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
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- 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
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…

👉 Learn More At: 🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=WhatareGANs-MZmNxvLDdV0&utm_medium=Description&utm_source=youtube
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This KNN Algorithm in Machine Learningtutorial will help you understand what is KNN, why do we need KNN, and how KNN algorithm works using Python. You will learn how do we choose the factor 'K', when do we use KNN, with proper hands on demonstration to predict whether a person will have diabetes or not, using the KNN algorithm.

Below topics are explained in this K-Nearest Neighbor Algorithm (KNN Algorithm) tutorial:
00:00 Introduction to KNN(K Nearest Neighbor)
00:57 Why do we need KNN?
02:33 What is KNN?
03:51 How do we choose the factor 'K'?
05:46 When do we use KNN?
06:42 How does the KNN algorithm work?
09:19 Use case - Predict whether a person will have diabetes or not?


Dataset Link - https://drive.google.com/drive..../folders/1YylTjWxmkU

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When Do We Use the KNN Algorithm?
The KNN algorithm is used in the following scenarios:
✅Data is labeled
✅Data is noise-free
✅Dataset is small, as KNN is a lazy learner

Pros and Cons of Using KNN
✅Pros: Since the KNN algorithm requires no training before making predictions, new data can be added seamlessly, which will not impact the accuracy of the algorithm.
KNN is very easy to implement. There are only two parameters required to implement KNN—the value of K and the distance function (e.g. Euclidean, Manhattan, etc.)
✅Cons: The KNN algorithm does not work well with large datasets. The cost of calculating the distance between the new point and each existing point is huge, which degrades performance.
Feature scaling (standardization and normalization) is required before applying the KNN algorithm to any dataset. Otherwise, KNN may generate wrong predictions.

➡️ 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
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A complete guide to the mathematics behind neural networks and backpropagation.

In this lecture, I aim to explain the mathematical phenomena, a combination of linear algebra and optimization, that underlie the most important algorithm in data science today: the feed forward neural network.

Through a plethora of examples, geometrical intuitions, and not-too-tedious proofs, I will guide you from understanding how backpropagation works in single neurons to entire networks, and why we need backpropagation anyways.

It's a long lecture, so I encourage you to segment out your learning time - get a notebook and take some notes, and see if you can prove the theorems yourself.

As for me: I'm Adam Dhalla, a high school student from Vancouver, BC. I'm interested in how we can use algorithms from computer science to gain intuition about natural systems and environments.

My website: adamdhalla.com
I write here a lot: adamdhalla.medium.com
Contact me: adamdhalla@protonmail.com

Two good sources I recommend to supplement this lecture:

Terence Parr and Jeremy Howard's The Matrix Calculus You Need for Deep Learning: https://arxiv.org/abs/1802.01528

Michael Nielsen's Online Book Neural Networks and Deep Learning, specifically the chapter on backpropagation http://neuralnetworksanddeeple....arning.com/chap2.htm

ERRATA----
I'm pretty sure the Jacobians part plays twice - skip it when you feel like stuff is repeating, and stop when you get to the part about the "Scalar Chain Rule" (00:24:00).

And, here are the timestamps for each chapter mentioned in the syllabus present at the beginning of the course.

PART I - Introduction
--------------------------------------------------------------
00:00:52 1.1 Prerequisites
00:02:47 1.2 Agenda
00:04:59 1.3 Notation
00:07:00 1.4 Big Picture
00:10:34 1.5 Matrix Calculus Review
00:10:34 1.5.1 Gradients
00:14:10 1.5.2 Jacobians
00:24:00 1.5.3 New Way of Seeing the Scalar Chain Rule
00:27:12 1.5.4 Jacobian Chain Rule

PART II - Forward Propagation
--------------------------------------------------------------
00:37:21 2.1 The Neuron Function
00:44:36 2.2 Weight and Bias Indexing
00:50:57 2.3 A Layer of Neurons

PART III - Derivatives of Neural Networks and Gradient Descent
--------------------------------------------------------------
01:10:36 3.1 Motivation & Cost Function
01:15:17 3.2 Differentiating a Neuron's Operations
01:15:20 3.2.1 Derivative of a Binary Elementwise Function
01:31:50 3.2.2 Derivative of a Hadamard Product
01:37:20 3.2.3 Derivative of a Scalar Expansion
01:47:47 3.2.4 Derivative of a Sum
01:54:44 3.3 Derivative of a Neuron's Activation
02:10:37 3.4 Derivative of the Cost for a Simple Network (w.r.t weights)
02:33:14 3.5 Understanding the Derivative of the Cost (w.r.t weights)
02:45:38 3.6 Differentiating w.r.t the Bias
02:56:54 3.7 Gradient Descent Intuition
03:08:55 3.8 Gradient Descent Algorithm and SGD
03:25:02 3.9 Finding Derivatives of an Entire Layer (and why it doesn't work well)

PART IV - Backpropagation
--------------------------------------------------------------
03:32:47 4.1 The Error of a Node
03:39:09 4.2 The Four Equations of Backpropagation
03:39:12 4.2.1 Equation 1: The Error of the last Layer
03:46:41 4.2.2 Equation 2: The Error of any layer
04:03:23 4.2.3 Equation 3: The Derivative of the Cost w.r.t any bias
04:10:55 4.2.4 Equation 4: The Derivative of the Cost w.r.t any weight
04:18:25 4.2.5 Vectorizing Equation 4
04:35:24 4.3 Tying Part III and Part IV together
04:44:18 4.4 The Backpropagation Algorithm
04:58:03 4.5 Looking Forward

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This video by Simplilearn is based on SQL Tutorial For Beginners. This SQL Full Course 2024 by Simplilearn is designed and curated in collaboration with real-time industry experts with Data analytics knowledge and expertise. This SQL Tutorial for beginners will cover the basics of SQL from the code syntax to all the advanced concepts in SQL like, Sub Queries, Joins, and CTEs in SQL. After completing this course, you can become an expert in SQL Fundamentals or if you are a professional, you can brush up your SQL skills and for beginners, you can proceed with building your personal data analysis portfolio to begin with your training or internship for Real-time operations and job opportunities.

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07:55:39 POstgreSQL
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10:40:24 SQL Project for data analysis
11:29:25 EDA(Exploratory Data Analysis) with Python
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SQL stands from Structured Query Language. It is used to communicate with several relational databases such as MySQL, Oracle and MS SQL Server. Using SQL queries, you can fetch, update, delete and manipulate data that is stored in the form of rows and columns. SQL commands are divided into different types, such as data manipulation language (DML), data definition language (DDL), transaction control language (TCL), and data query language (DQL).

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Boost your career with this Data Analytics Course, in partnership with Purdue University & in collaboration with IBM, which features master classes and follows an applied learning model designed with real-life projects and business case studies.

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- Data Analytics
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- Induction Session for Purdue Data Analytics Program
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In this Data Warehousing Tutorial For Beginners, you will learn what is Data Warehouse, types of Data Warehouse, Data Warehouse Concepts, popular Data Warehouse tools, hands-on demo on how data flows in Data Warehouse, introduction to Data mart, what is Data Modeling, Data Warehouse Interview Questions.

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🔵Following topics are covered in this video:
00:00 - Data Warehouse Tutorial For Beginners
03:47 - Features of Data Warehouse.
15:43 - Data Warehouse Job Trend.
01:19:05 - Star Schema.
01:45:05 - Types of Data Mart
01:46:37 - Conceptual, Logical and Physical data model
02:09:47 - Data Warehouse Interview Questions

If you’ve enjoyed this Data Warehouse Concepts video, Like us and Subscribe to our channel for more informative tutorials.
Got any questions about Data Warehouse Concepts? Ask us in the comment section below.
------------------------------
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Use Flutter 3.7 to build a Twitter clone in this full course. We will cover various features such as signing up and signing in with email and password, tweeting text, images, and links, identifying and storing hashtags, displaying tweets, liking tweets, retweeting, commenting/replying, following users, searching for users, displaying followers, following, and recent tweets, editing user profiles, showing tweets with specific hashtags, and a premium feature called "Twitter Blue". Additionally, we will also be implementing a notifications tab that will show notifications when someone replies to you, follows you, likes your tweet or retweets. By the end of this tutorial, you'll have a fully-functional Twitter clone that you can further customize and improve upon.

Tech Used - Flutter, Appwrite Authentication, Database, Storage, Realtime, Queries, Indexes, Riverpod.
Prerequisites: Flutter & Dart Basics

✏️ Course developed by @RivaanRanawat

💻 Source Code - https://github.com/RivaanRanaw....at/flutter_twitter_c
📌 Discord Server (Join the Community) - https://discord.gg/Q8Rx8YWFVF

ADB Command - adb reverse tcp:3000 tcp:3000

📄 Resources:
Assets - https://github.com/RivaanRanaw....at/flutter_twitter_c/tree/master/assets/svgs
Asset Constants File - https://github.com/RivaanRanaw....at/flutter_twitter_c/blob/master/lib/constants/assets_constants.dart
Pallete (Colours File) - https://github.com/RivaanRanaw....at/flutter_twitter_c/blob/master/lib/theme/pallete.dart
Theme File - https://github.com/RivaanRanaw....at/flutter_twitter_c/blob/master/lib/theme/app_theme.dart
Appwrite Docs - https://appwrite.io/docs

⭐️ Contents ⭐️
(0:00:00) Introduction
(0:02:07) Appwrite & Docker Installation
(0:05:31) Important Appwrite Commands
(0:07:14) Appwrite Setup for Android & iOS
(0:09:32) Setting up Flutter Project
(0:17:59) Architectural & Folder Pattern
(0:24:37) Login UI
(0:49:53) Signup UI
(0:55:23) Signing Up User with Appwrite Auth
(1:16:37) Providing the Class / Dependency Injection
(1:25:03) Signing Up User contd. (Auth Controller)
(1:49:11) Login User with Appwrite Auth
(1:54:12) Adding Proper Navigation
(1:57:22) Persisting Auth State
(2:06:37) Saving User Data to Appwrite Database
(2:33:03) FIXING Android Related Problems
(2:34:31) Solving Appwrite unauthorized_scope Problem
(2:36:27) Home Screen UI
(2:44:43) Create Tweet Screen UI
(2:58:16) FIXING User Data Storage & Retrieval Bug
(3:00:43) Create Tweet Screen UI contd.
(3:08:23) Picking Multiple Images & Displaying in Carousel
(3:17:48) Storing Tweets to Appwrite Database & Appwrite Storage
(4:01:46) Displaying Tweets
(4:38:07) Displaying New Tweets LIVE with Appwrite Realtime
(5:01:04) Like Button Animation
(5:04:53) Liking Tweet
(5:16:38) Retweeting / Resharing Tweet (Realtime)
(5:40:52) Replying to other user’s Tweets
(6:18:06) Searching Users
(6:37:21) Displaying User Profiles
(7:04:39) Editing User Own Profile
(7:31:57) Updating User Profile Data Realtime
(7:41:30) Following Other users
(7:52:54) Sending Notifications when User Likes
(8:10:07) FIXING Like Bug
(8:10:58) Displaying & Sending Notifications
(8:38:47) Displaying Posts By Hashtags
(8:48:57) Side Drawer UI & Navigation to Current User Profile
(8:54:11) TWITTER BLUE
(8:59:23) Logging Out with Appwrite Auth
(9:02:27) Conclusion

🎉 Thanks to our Champion and Sponsor supporters:
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In this Edureka video on 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐓𝐮𝐭𝐨𝐫𝐢𝐚𝐥 𝐟𝐨𝐫 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫𝐬, you will learn how to use ChatGPT for coding and programming using different languages. ChatGPT can become a very. useful tool for every developer.

00:00 ChatGPT for Developers
00:40 What is ChatGPT
01:37 How ChatGPT Works
02:16 ChatGPT vs Codex
03:16 How to use ChatGPT
3:51 ChatGPT for Programming
04:06 ChatGPT for Shell Scripting
08:45 ChatGPT for Python Programming
10:47 ChatGPT for HTML and CSS Coding
12:10 ChatGPT for JavaScript

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐂𝐨𝐮𝐫𝐬𝐞 - 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 𝐭𝐨 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝: https://www.edureka.co/openai-....chatgpt-training-cou

⏩ Edureka Chat GPT Explained Playlist: http://bit.ly/3HGRy3G

#ChatGPTforDevelopers #ChatgptForCoding #edureka #chatgptexplained #chatgpt #openai #chatgpttutorial #chatgpt3 #ai #nlp #artificialintelligence

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

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

🔵 About Edureka ChatGPT Certification Training Course

Edureka’s ChatGPT Certification Training Course will teach you about ChatGPT architecture, GPT models, methodology, and real-world applications. The ChatGPT certification training program is an excellent choice for individuals and organizations seeking to improve their language processing and AI skills and knowledge.

🔵 Why take up the Online ChatGPT Certification Course?

Interested individuals can opt for the Online ChatGPT Certification course as this course provides:

Comprehensive knowledge: The course provides a comprehensive understanding of ChatGPT, including its architecture, training methodology, and real-world applications.

Career advancement: The certification demonstrates an individual's expertise and competence in working with ChatGPT, making them a valuable asset to any organization.

Stay ahead of the curve: ChatGPT is a rapidly growing field, and with the certification, one can stay ahead of the curve and stay updated with the latest advancements in the industry.

Enhance skills: The course provides practical skills and knowledge that can be applied to various areas and industries.

🔵 Who should take up this ChatGPT Certification Course?

The ChatGPT Certification Course is suitable for a wide range of individuals, including:

AI professionals: This course is ideal for AI professionals who want to gain expertise in ChatGPT and expand their knowledge in the field of AI.

Developers: Developers who want to integrate ChatGPT into their projects and create new AI applications can benefit from the course.

Data scientists: Data scientists who want to understand how ChatGPT can be used to process and analyze large amounts of data can also benefit from the course.

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌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
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

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

AI robots, with Elon Musk, Ameca, Boston Dynamics. To learn more about AI, please visit https://brilliant.org/digitalengine where you'll also find loads of fun courses on maths, science and computer science.

Here's the first video on our new channel, Go Rogue:
https://youtu.be/k07unSpmBSg

Thanks to Brilliant for sponsoring this video.

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For custom nerf blasters: https://outofdarts.com

Please don't feel anxious about this - the AI in this video obviously isn't dangerous (GPT-3 isn't conscious). I'm optimistic that the future of AI will be great (if we're careful).

Sources:

Here are the records for the original GPT-3 chat (screenshots and a video to avoid any doubt). I've marked the words from Elon Musk and Ameca on the first page (which I gave the AI to respond to in the previous video):
https://www.dropbox.com/sh/82i....wek5rnofmrn2/AADM4WO

Tesla's AI day 2, introducing the Tesla Optimus robot:
https://www.youtube.com/watch?v=ODSJsviD_SU&t=1198s

Researchers from Oxford University and DeepMind on AI risks:
https://onlinelibrary.wiley.co....m/doi/10.1002/aaai.1

Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action:
https://arxiv.org/abs/2207.04429