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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/power-b....i-certification-trai (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka "Power Query Tutorial" video will help you to understand the value brought by the data connection technology into Power BI Desktop and how it provides a powerful tool for transforming and presenting business intelligence data.
00:00:00 Introduction
00:01:16 Agenda
00:02:22 Introduction to power query
00:07:33 Problem Statements
00:16:27 Promote Values
00:18:51 Filter Rows
00:21:07 Replace Values
00:25:17 Add Calculated Column
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⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g
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About Power BI Course
Edureka’s Microsoft Power BI course introduces you to Power BI Desktop and how it is used with Power Pivot for Data Modelling. This course enables you to learn about Data Analysis Expressions (DAX) and Data Visualization with Power BI Desktop, Power View and Power Map. This Power Bi Certification course will also introduce you to Power BI Q&A, which enables you to discover, explore and visualize enterprise data using Natural Language. Enroll now to learn the best Power BI course online.
Why Learn Power BI?
Power BI is a business analytics service provided by Microsoft. It provides interactive visualizations with self-service business intelligence capabilities, where end users can create reports and dashboards by themselves, without having to depend on any information technology staff or database administrator. Power BI certification course shares knowledge on how it provides cloud-based BI services - known as Power BI Services, along with a desktop-based interface called Power BI Desktop. It offers Data modeling capabilities including data preparation, data discovery, and interactive dashboards.
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In this tutorial we go through the basics you need to know about the basics of tensors and a lot of useful tensor operations. I believe knowing about these operations are an essential part of Pytorch and is a foundation that will help as you go further in your deep learning journey. Pytorch is in many ways an extension of NumPy with the ability to work on the GPU and these operations are very similar to what you would see in NumPy so knowing this will also allow you to quicker learn NumPy in the future.
People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
ML Course (affiliate): https://bit.ly/3qq20Sx
DL Specialization (affiliate): https://bit.ly/30npNrw
ML Course (no affiliate): https://bit.ly/3t8JqA9
DL Specialization (no affiliate): https://bit.ly/3t8JqA9
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OUTLINE
0:00 - Introduction
1:26 - Initializing a Tensor
12:30 - Converting between tensor types
15:10 - Array to Tensor Conversion
16:26 - Tensor Math
26:35 - Broadcasting Example
28:38 - Useful Tensor Math operations
35:15 - Tensor Indexing
45:05 - Tensor Reshaping Dimensions (view, reshape, etc)
54:45 - Ending words
#PaperExplained #PaperReview
Paper: https://arxiv.org/abs/1810.04805
Useful resources to learn about transformers:
https://peterbloem.nl/blog/transformers
https://nlp.seas.harvard.edu/2....018/04/03/attention.
https://jalammar.github.io/ill....ustrated-transformer
Useful resources to learn about BERT:
https://jalammar.github.io/illustrated-bert/
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
Pakistan is one of the most incredible countries on earth. Enjoy this 4k Scenic Relaxation Film featuring the mindblowing landscapes of Pakistan. From the daunting peak of K2, to the alpine lakes of Gilgit-Baltistan, Pakistan will leave you in awe struck with is out unmatched scenery. Where is your favorite place in Pakistan?
Our other Relaxation films:
India Relaxation Film 4K - https://youtu.be/VVsC2fD1BjA
Nepal Relaxation Film 4K - https://youtu.be/4OiXfDdbtnM
Asia Animals Film 4K - https://youtu.be/KfjIaEP0EtY
Alps Relaxation Film 4K - https://youtu.be/BTMjD7_evjE
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The Ocean 4K - https://youtu.be/eoTpdTU8nTA
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Around the World 4K - https://youtu.be/6KL2QZ91kAM
Special thanks to Ali Ahmed for helping film a majority of the video. He has many great films on Pakistan - https://youtu.be/Oz8UVV7nJSA
Special thanks to Andrea Cacciatori for sharing his incredible footage from his expedition to K2 Base Camp. He made a fascinating video of his journey - https://youtu.be/4nj8ivAN-Ds
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Timestamps:
0:00 - Intro
7:39 - Gilgit-Baltistan
14:47 - Green Scenery of Pakistan
17:33 - Islamabad, Lahore, & Faisalabad
20:28 - Pakistan's Coast & Countryside
23:52 - K2 & Karakorum Mountain Range
27:19 - Landscapes of Pakistan
47:24 - Flying Across Pakistan
Thanks for watching :)
All Hell Breaks Loose 6.6.23.
Watch as Inarius, Archangel of The High Heavens, challenges Lilith, Daughter of Hatred.
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Point cloud is an important type of geometric data structure. They are simple and unified structures that avoid the combinatorial irregularities and complexities of meshes. These properties make point clouds widely used for 3D reconstruction or visual understanding applications, such as AR, autonomous driving, and robotics. This course will teach how we apply deep learning methods to point cloud data. We will cover the following topics in this short course and will end with some open problems.
• Basic neural architectures to process point cloud as input or to generate point cloud as output
• Scene-level understanding of static and dynamic point clouds
• Point cloud based inverse graphics
• Learning to convert point cloud to other 3D representations
• Learning to map point cloud with data in other modalities (images, languages)
👉 Find out more and enroll in the Deep Learning Fundamentals course:
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Self-attention and the transformer architecture have broken many benchmarks and enabled widespread progress in NLP. However, at this point neither researchers nor companies in industry (with a few exceptions) have leveraged them in a time series context. This talk will explore both the barriers and promise of self-attention models and transfer learning in a time series context. The talk will also look into why time series tasks (forecasting/prediction) have not had their BERT/Imagenet moment and what can be done to enable transfer learning on temporal data. The extremely limited COVID-19 time series forecasting dataset will be used as an example for the need to address these limited data scenarios and enable effective few-shot/transfer learning more generally.
Isaac Godfried is a machine learning engineer at Monster focusing on the data and machine learning platform. Prior to his current position Isaac worked on machine learning problems in both retail and healthcare. He also has participated in many Kaggle competitions. Isaac’s main focus is to remove barriers related to the use of deep learning in industry. Specifically, this involves researching techniques like transfer and meta learning for data constrained scenarios, designing tools to effectively track and manage experiments, and creating frameworks to deploy models at scale. In his spare time Isaac also conducts research in AI for good causes like medicine and climate.
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Order Lean Into It (30th anniversary) Products: https://smarturl.it/Mr.BigLeanIntoIt30th
Today is the 30th anniversary of the release of Mr. Big's classic album Lean Into It.
The original music video of "To Be With You" is newly restored in 4K.
Pat Torpey (drums), Billy Sheehan (bass), Eric Martin (vocals) and Paul Gilbert (guitar).
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#MrBig #4K #tobewithyou #remastered #leanintoit #BilllySheehan #EricMartin #PaulGilbert #PatTorpey #leanintoit30
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Suguna Sundari
Singer - Ram Miriyala & Snigdha Sharma
Lyrics - Ramjogayya sastry
Programmed And Arranged By Thaman S
Musical Bands - Band Thamania & Gongura Band
Live Percussions - Anandan Sivamani
Live Percussions - Krishna Kishore
Folk Rhythm - Vaniyambadi illam Puyal
Sound Indian Tapes - Lakshmi Narayana,Raju,Vedha,Jagan Mohan,Jaya Prakash,Lakshmi Kanth,Pyare Lal
Thalam - Veeda
Nadaswaram - Sivakumar
Trumpet - Babu
Guitar - GodFray
Vocal Supervision -Sri Krishna
Male Chours - Sri Krishna,Dhanunjay,Saicharan
Female Chours - Padmaja Vrusha Rachita Padmapriya Reshma Adviteeya,Pratyusha & Ramya
Song Recorded @Prasad Studio ( Hyd ) ,V Studio ( Chennai ) Uno Records Studios by Osho V , Biju
Mixed & Mastered By Shadab Rayeen At
New Edge Mumbai & New Edge (Ny)
Assisted By - Pukhraj & Anup
Musicians Co Ordinator - Manikandan K
Studio Manager - Seenu & Sridhar
Studio Assistance - Kannan,Lingam,Raju & Ranjith
Movie Details:
Cast : NATASIMHAM Nandamuri Balakrishna, Shruti Haasan, Varalaxmi Sarathkumar, Honey Rose and Duniya Vijay
Story-Screenplay-Direction : Gopichandh Malineni
Producers : Naveen Yerneni and Ravi Shankar Yalamanchili
CEO : Cherry
Executive Producer : Chandu Ravipati
Music : Thaman S
Cinematographer : Rishi Punjabi
Editing : Navin Nooli
Production Designer : A.S. Prakash
Fights : Ram-Laxman, VVenkat
Dialogues : Sai Madhav Burra
Lyrics : Rama Jogaiah Sastry
Choreography : Sekhar VJ, Shankar
Chief-Co Director : Kurra Rangarao
Co-Directors : Gulabi Srinu and Nimmagadda Srikanth
Direction Team: Prakash Dussa, Gajjala Bhaskar Reddy, Ramananda Sagar, Surya Guddati, Jyothi Prakash, Rithica Devireddy, Hemanth C. Yoganand
PRO : Vamsi – Sekhar
Publicity Designer : Working Title Shiva
Publicity : Baba Sai Kumar
Marketing : First Show
Line Producer : Bala Subhramanyam KVV
DI : Annapurna Studios
Colorist : Venu Gopal Rao. J
Associate Editors: N. Durga Prakash, Srinivas Nadiminti
Online Editor: Venkat Jalagam
Making: Krishna Reddy
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📍 PRODUCED BY ARMOON FLIP ANY USE OF THIS AUDIO REQUIRES CREDIT (PROD.ARMOON FLIP)
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Used Song! 🎵
SONG - Tujh Mein Rab Dikhta Hai
ARTIST - Roop Kumar Rathod
SONG - LOCKUP NO. 4THREE
ARTIST - VIJAY DK
SONG - MH12
ARTIST - MC STAN
SONG - Aankhon Mein Teri
ARTIST - Om Shanti Om & Blue Ray
SONG - Don’t Forgive Me
ARTIST - DIVINE
SONG - DRILL
ARTIST - EMIWAY
SONG - 10 PE 10
ARTIST - KR$NA
SONG - Saza-E-Maut
ARTIST - KR$NA Ft. RAFTAAR
SONG - INVINCIBLE
ARTIST - POP SMOKE
SONG - Let Go
ARTIST - Central Cee
Any enquiry :- [email protected] If any body who is not credited please dm or comment. please out!!
hope you guys enjoy!
Thanks For Watching!🐍
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Fair use is a permitted by copyright statute that might otherwise be infringing,
Non-profit, educational or personal use tips the balance in favor of fair use
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