But you know that fundamentally they are not the same. Statistics is about doing "tests" and calculating the probability of errors of the 2 types. Data science is about manipulating the data before they can be submitted to a statistical analysis.

Understanding algorithmic paradigms helps in becoming an efficient problem solver with code, and acing, and success in coding interviews.

Sharing a highly resourceful, and amazing repository with 100s of implemented algorithms in Python.                                                                                                                                                           
The implementations range from data structures to compression machine learning algorithms.



https://the-algorithms.com/

Feature Selection Techniques - Extended Overview in One Picture


Source - LinkedIn Post

By - AI Bot 🤖

AWS - Increasing amount of GUI-based data transformation and machine learning tools;

Microsoft Azure - A point-and-click visual interface for machine learning, “data preparation, feature engineering, training algorithms, and model evaluation”;

Google Cloud Platform - similar functionality as part of their Cloud AutoML offering.


What about Oracle?

Oracle is also reducing the total cost of ownership with elastic scaling and auto-scaling for changing workloads

A serious bottleneck to data work delivering business value across industries is the amount of expertise required at many steps along the data pipeline.

Oracle Autonomous Data Warehouse competes with incumbent products including
Amazon Redshift,
Azure Synapse,
Google BigQuery,
and Snowflake.

RLCard: A Toolkit for Reinforcement Learning in Card Games


The goal of RLCard is to bridge reinforcement learning and imperfect information games.

New in 🤗datasets v1.9:
⬇️ Dataset Streaming
🤯 Huge datasets like C4 and mC4
🔥 JAX integration
💽 Parquet support

Stream terabytes of data at high speed in a few lines of code !

https://t.co/wsen9sLzp6?amp=1

The PyData Global conference is an online event where users, contributors, developers, and newcomers of data analysis tools from around the world can share experiences to learn from one another and grow together. This three-day event will consist of talks, tutorials, and discussions to bring attendees the latest project features along with cutting edge use cases.


last year’s inaugural online event that had 2,000 attendees


https://pydata.org/global2021/


The Call for Proposals is open with the deadline to submit August 15.

I am planning to deliver Azure ML concepts tomorrow. It is going to be 2 hour session. Interested people can join. I will share link and timings by evening.

tqdm is a Python library that allows you to output a smart progress bar by wrapping around any iterable. A tqdm progress bar not only shows you how much time has elapsed, but also shows the estimated time remaining for the iterable.

tqdm derives from the Arabic word taqaddum (تقدّم) which can mean "progress," and is an abbreviation for "I love you so much" in Spanish (te quiero demasiado).
Instantly make your loops show a smart progress meter - just wrap any iterable with tqdm(iterable), and you're done!

Pyflyby is a set of Python programming productivity tools for Python 2.7 and 3.7+.

$ pip install pyflyby

For command-line interaction:
• py: command-line multitool

for more : https://github.com/deshaw/pyflyby

What’s New In Python 3.11
Next year Python’s version 2022

1. Enhanced error locations in tracebacks
2. Add math.cbrt(): return the cube root of x. (Contributed by Ajith Ramachandran in bpo-44357.)
3. On Windows, os.urandom() uses BCryptGenRandom() instead of CryptGenRandom() which is deprecated.
4. smtpd.MailmanProxy is now removed as it is unusable without an external module, mailman

Key Concepts in Deep Learning : Epoch In the context of training a model, epoch is a term used to refer to one iteration where the model sees the whole training set to update its weights.

Mini-batch gradient descent During the training phase, updating weights is usually not based on the whole training set at once due to computation complexities or one data point due to noise issues. Instead, the update step is done on mini-batches, where the number of data points in a batch is a hyperparameter that we can tune.

Loss function In order to quantify how a given model performs, the loss function L is usually used to evaluate to what extent the actual outputs y are correctly predicted by the model outputs Z


Cross-entropy loss In the context of binary classification in neural networks, the cross-entropy loss

pdfme

This is a powerful library to create PDF documents easily.
The way you create a PDF document with pdfme is very similar to how you create documents with LaTex

pip install pdfme

Docs and examples: https://pdfme.readthedocs.io

An AI device implanted at the brain’s surface has allowed a person with paralysis to communicate by converting his mental handwriting into text.


In that study, T5 set what was until now the all-time record: copying displayed sentences at about 40 characters per minute. Another study participant was able to write extemporaneously, selecting whatever words she wanted, at 24.4 characters per minute.

Manim is an animation engine for explanatory math videos.It's used to create precise animations programmatically, as demonstrated in the videos of 3Blue1Brown.