f-string

-------------------------
one way of String formatting
The f prefix and use {} brackets to evaluate values.
Available since 3.6 version
Refer PEP 498

Usage 1:
>>> name="Raja"
>>> f"Hello, {name}"
'Hello, Raja'
>>>

Usage 2 :
>>> f'4*5'
'4*5'
>>>

Usage 3:
>>> sport='BaseBall'
>>> f'{sport.lower()}'
'baseball'
>>>

Going forward use this format in your projects

mlpack is a fast, flexible machine learning library suitable for both data science prototyping and deployment.

Try this for your projects. This supports for both C++ and Python.

Detecting Cricket Shots using Pose Estimation

You generally face the class imbalance problem in these kind of usecase


To solve the class imbalance problem, You can use ImageDataGenerator class from Keras to apply real time data augmentation to image data.

For Pose Estimation, You can use the tf_pose_estimation package

Finally use pre trained model name lightest and the fastest model ‘mobilenet_thin’

===========================
Difference b/n Function and Class Based Views in Django
============================
Function Based views (FBV) are easy to write without having background knowledge on object oriented Programming (OOPS). FBV’s are easy to implement. But reusability is missing when use it.

In other side, Class Based Views (CBV) are maintains code reusability as we can implement inheritance concepts. Well maintained code structure. But we need to remember predefined variables such as template_name and form_class ( Django core)

People who comes from the Java, Dot NET, and other object oriented programming can easily understand the CBV. Django initially started only FBV later they introduced CBV.

You can make a choice based on your project and skills which you have.

=========================

Just FYI

What is BigDL

It is a distributed deep learning library for Apache Spark developed by Intel and contributed to the open source community for the purposes of uniting big data processing and deep learning.

BigDL is implemented as a library on top of Spark, so that users can write their deep learning applications as standard Apache Spark programs.

Use BigDL when You want to analyze a large amount of data on the same Big Data (Hadoop/Spark) cluster where the data are stored (in, say, HDFS, HBase, Hive, etc.).

By 2024, as much as 65% of application development will be done on no-code/low-code platforms, according to a Gartner Magic Quadrant report.

Going forward Log your questions in iampython website.

I can help you when you do only in this platform

Actually I was created this for community interaction.

Little more design and functionality work in progress

Launching mobile apps very soon


https://iampython.com/users/signup/

Plotly Introduction - Modern Data Visualization https://youtu.be/pcyDITv_ku8


I am started Plotly modern data visualisation tutorial


Don’t subscribe don’t like or share

Just Learn the subject... nothing else

Difference between Image Recognition, Object Detection, Semantic Segmentation and Instance Segmentation

Tableau has introduced a new class of artificial intelligence (AI)-powered analytics to enhance data science techniques and enable business users to take decisions faster.

Tableau’s tool can help create models, make predictions, frame what-if scenarios, run other analytical methods – all using clicks, not code. It can be used to improve supply chain efficiency, predict likelihood of purchase or maximise delivery of goods or services.

The tool will be available in Tableau 2021.1 update later this month, which also brings Salesforce’s AI-driven analytics – Einstein Discovery, into Tableau

This website will help you learn probability and statistics, the most important topics in math for machine learning!

seeing-theory.brown.edu

DeepLearning Frameworks

TensorFlow is an end-to-end platform for machine learning. It has a comprehensive, flexible ecosystem of tools and libraries to build and deploy machine learning-powered applications.


Keras is a highly-productive deep learning interface running on top of TensorFlow. It provides essential abstractions and building blocks for developing and shipping machine learning solutions with high iteration velocity.

PyTorch is a machine and deep learning framework used primarily for natural language processing and computer vision applications. In the community, PyTorch has grown as a research-first library.


MXNet is a lean, flexible and scalable deep learning framework suited for flexible research, prototyping, and production of deep learning applications.

FastAI is a deep learning library providing high and low-level components to achieve state-of-the-art results in standard deep learning domains. FastAI sits on top of the PyTorch framework.

https://www.nvidia.com/en-us/gtc/keynote

I registered myself .. pls do this is very interesting

Mathematics for Machine Learning

AI and DataScience Reources - USeful

Samples, Reference Architectures & Best Practices : https://github.com/microsoft/AI (Microsoft)