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see different optimization techniques in machine learning and deep learning, including AdaGrad, RMSProp, AdaDelta, and Adam. Improve your understanding of advanced optimization algorithms in this informative video!

Previous Parts :
Optimization in Machine learning (Part 1)- Gradient Descent - Batch Gradient Descent - Stochastic GD
https://www.youtube.com/watch?v=BSoej8cNGag

Optimization in machine learning (Part 02) Momentum based Gradient Descent and nesterov acceleration
https://youtu.be/4bVB862Sj1E

by : Seyed Abolfazl Seyed Javadein

see different optimization techniques in machine learning and deep learning, including AdaGrad, RMSProp, AdaDelta, and Adam. Improve your understanding of advanced optimization algorithms in this informative video!

Previous Parts :
Optimization in Machine learning (Part 1)- Gradient Descent - Batch Gradient Descent - Stochastic GD
https://www.youtube.com/watch?v=BSoej8cNGag

Optimization in machine learning (Part 02) Momentum based Gradient Descent and nesterov acceleration
https://youtu.be/4bVB862Sj1E

by : Seyed Abolfazl Seyed Javadein

Optimization in machine learning (Part 03) AdaGrad – RMSProp – AdaDelta – Adam

Yolo v9 object tracking and tracing and segmentation example.

Code : https://codetipsacademy.com/yolov9-code-for-object-detection-segmentation-and-tracking/
See my Linkedin : https://www.linkedin.com/in/abolfazl-javadein

website : CodeTipsAcadmy.com
by Seyed Abolfazl Seyed Javadein

Yolo V9 Tracking + Object Tracing + Segmentation

Full-text search lets you find what you're looking for across tons of documents, like the search engines you use every day. It works on web pages, PDFs, and all sorts of online content.

This video demonstrates how to set up and use full-text search in Microsoft SQL Server, including creating a full-text catalog, indexing a column, and performing complex searches.

You may be interested in these questions:
How does full-text search in SQL Server differ from regular database searches?
What are the key steps to set up full-text search in a SQL Server database?
What are some examples of advanced full-text search queries that can be performed in SQL Server?

by : Seyed Abolfazl Seyed Javadein

course link : https://codetipsacademy.com/courses/complete-microsoft-sql-server-database-design-and-programming-masterclass/

if you want to see installation of full-text service on SQL Server , See Part 1 of Full Text Service on the youtube link below :
https://www.youtube.com/watch?v=iAT_EUGp158

Full Text Search in Microsoft SQL Server

The video demonstrates how to install Full Text Search Service in SQL Server, explaining its benefits for searching through large amounts of text data. The process involves checking if the service is installed, adding features to an existing instance, and verifying successful installation. The video concludes with a preview of using the Full Text Search Service for future tasks.

Setting up a full text index in SQL Server allows for efficient searching of text fields in a database. The 'like' operator can be used for basic searches without the need for a full text index.

Utilizing longer phrases in quotes, employing boolean logic, and preferring free text commands can enhance database search accuracy and efficiency.

Utilizing full text index in SQL Server can significantly improve search speed on large tables. Including relevant keywords in YouTube descriptions and tags is crucial for higher relevancy scores and better ranking.

by : Seyed Abolfazl Seyed Javadein

website : https://codetipsacademy.com/

Install FullText Search Service in Sql Server

Gradient descent is a fundamental optimization algorithm used in machine learning and deep learning for minimizing the loss function, which measures the error of a model in terms of its predictive performance. Here we explain
Momentum based Gradient Descent and difference between momentum based gradient descent and nesterov accelerated gradient descent.

by : Seyed Abolfazl Seyed Javadein

Optimization in machine learning (Part 02) Momentum based Gradient Descent and nesterov acceleration

The video discusses the differences between Stochastic Gradient Descent (SGD) and Gradient Descent, explaining how SGD updates weights using one data point at a time, while Gradient Descent considers all data points. Mini-batch SGD is also mentioned, which updates weights using a subset of data points to reduce computational resources.
I also explain the loss function and need of Gradient Descent in machine learning specially in neural network.

Lecture by : Seyed Abolfazl Seyed Javaderin

#codetipsacademy
#abolfazl_seyed_javadein
#deep_learning
#machinelearning

WebSite : https://codetipsacademy.com/

Optimization in Machine learning (Part 1)- Gradient Descent – Batch Gradient Descent – Stochastic GD

Run Sql Command on Polars Data Frame, Execute SQL Commands on Polars Data Frame
#short #shortvideo
#shorts

Run SQL Command on Polars Data Frame

In this video, We see how to extract speech text from video and save it in a file using Python. We use Python Packages and libraries that has trained by deep learning Speech Recognition models and has high accuracy.

This is a Simple and Powerful code to Extract Speech from Video and do
Speech Recognition on it.
Author : Abolfazl Seyed Javadein
code link :
codetipsacademy.com/extract-voice-from-a-video-and-save-that-in-a-file-using-python-speech-recognition/

Extract Voice from a Video and Save that in a file using Python (Speech Recognition)

In this video, we'll be unveiling the new features in Pandas V2. This powerful data analysis library is has a lot to offer users, and we'll be showing you just how powerful it is! in this video we show new features in faster calculations by pyarrow and more optimized memory bycopy_on_write mode in Pandas V2.

There are a lot of new features in Pandas V2, and we'll be covering the most important of them in this video. from data loading to data analysis to data plotting, we've got everything you need to know about this powerful library! So be sure to watch this video to see all the amazing new features in Pandas V2!

Amazing New Features in Pandas V2-Faster calculation by PyArrow and More Optimized by copy_on_write

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This image effectively conveys how statistical significance and p-values are used to assess the strength of evidence against the null hypothesis in hypothesis testing

What is p-value?

Abolfazl Seyed Javadein / data science, machine learning, statistics

Yolo V9 Tracking + Object Tracing + Segmentation

YoloV9 Code for Object Detection + Segmentation and Tracking

Abolfazl Seyed Javadein / Computer Vision, Image Processing, python

Extract Voice from a Video and Save that in a file using Python (Speech Recognition)

Extract Voice from a Video and Save that in a file using Python (Speech Recognition)

Abolfazl Seyed Javadein / python, Tips

Automate Sending Scheduled Whatsapp Message in Python

<strong>Automate Sending Scheduled Whatsapp Message in Python</strong>

Abolfazl Seyed Javadein / python, Tips

Moravec Corner Detection

Moravec Corner Detection(Theory and Code)

Abolfazl Seyed Javadein / Computer Vision, Image Processing, python

Print by Different Color in Python

Print Colorful Text in Python

Abolfazl Seyed Javadein / python, Tips

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