FlowingData

JUNE 28, 2022

An Introduction to Statistical Learning provides a broad and less technical treatment of key topics in statistical learning. Each chapter includes an R lab. Tags: book , learning , R. This book is appropriate for anyone who wishes to use contemporary tools for data analysis. The PDF version of the book is free to download.

Data Analysis 101

Data Analysis Data Analysis 101

Revolutions

MARCH 6, 2023

It was my great pleasure to present last week to the NYC Data Hackers on the topic of Copilot for R. I showed an R script to access the OpenAI API directly using the httr2 package, and also provided an R function to call an OpenAI model. GitHub (revodavid): Copilot for R

Azure 84

Azure Python AI AI 84

Data Science Dojo

JUNE 20, 2023

Trained on massive text datasets, it boasts an exceptional ability to generate human-like responses across diverse topics, retaining an extensive conversational memory. XLM-R (Cross-lingual Language Model – RoBERTa) Facebook AI Research’s transformer-based behemoth, XLM-R, takes multilingual capabilities to new heights.

Natural Language Processing 195

Natural Language Processing Data Science AI AI 195

Data Science Dojo

MARCH 17, 2023

Some essential research tools include search engines like Google Scholar, JSTOR, and PubMed, reference management software like Zotero, Mendeley, and EndNote, statistical analysis tools like SPSS, R, and Stata, writing tools like Microsoft Word and Grammarly, and data visualization tools like Tableau and Excel.

Tableau 195

Tableau Data Visualization Data Analysis Data Analysis 195

Data Science Dojo

FEBRUARY 23, 2023

Participants will learn how to build and deploy predictive models using Python, R, and other tools. These sessions cover a wide range of topics related to data science and AI, including data visualization, deep learning, and natural language processing.

Data Science 195

Data Science Data Scientist AI AI 195

Data Science Dojo

JANUARY 20, 2023

These tutorials include topics like R & Python programming , data mining , and Azure ML (Machine Learning). You’ll have live instructors and TAs working with you to help you learn these complex topics. Just because the bootcamp ends, doesn’t mean your education does.

Data Science 195

Data Science Natural Language Processing Data Mining Data Mining 195

Data Science Dojo

JULY 7, 2023

In the technology-driven world we inhabit, two skill sets have risen to prominence and are a hot topic: coding vs data science. Tools such as Python, R, and SQL help to manipulate and analyze data. Knowledge of Python or R is crucial to implement machine learning models and visualize data.

Data Science 195

Data Science Data Scientist Decision Trees Python 195

Towards AI

APRIL 7, 2024

I will not go into details on the types of machine learning algorithms and how they apply in a geospatial situation as I have already covered this topic in my previous post. Also, both R and Python are compatible with GIS software such as ARCGISpro and QGIS, their libraries are specifically tailored for analyzing maps and imagery if needed.

Machine Learning 105

Machine Learning Machine Learning K-nearest Neighbors Supervised Learning 105

Pickl AI

DECEMBER 12, 2023

Must-read Data Science blogs for beginners Towards Data Science (Medium) A popular publication on Medium, Towards Data Science covers a wide range of topics in data science, machine learning, and artificial intelligence. Data enthusiasts can explore a plethora of topics like Python, Machine Learning, Cheatsheets, AI and more.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

DECEMBER 12, 2023

Must-read Data Science blogs for beginners Towards Data Science (Medium) A popular publication on Medium, Towards Data Science covers a wide range of topics in data science, machine learning, and artificial intelligence. Data enthusiasts can explore a plethora of topics like Python, Machine Learning, Cheatsheets, AI and more.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Data Science Dojo

MAY 18, 2023

Experts from the field gathered to discuss and deliberate on various topics related to data and AI, sharing their insights with the attendees. Generative AI: This discussion is an in-depth exploration of the topic of Generative AI , delving into the latest advancements and trends in the industry.

Data Science 195

Data Science AI AI SQL 195

Smart Data Collective

AUGUST 1, 2022

The topics are categorized, making them easy to find. The key here is knowing which subreddits cater to algorithmic traders, and some of the best ones include r/algotrading , r/algorithmictrading , and r/python. R/algotrading is the most popular algorithmic trading subreddit, with 1.5 million members. community.

Algorithm 107

Algorithm AI AI Python 107

ODSC - Open Data Science

SEPTEMBER 5, 2023

This condensed schedule allows you to explore different subjects and topics to find your passion before deciding to leave your job for a longer program. Content At mini-bootcamps like ODSC West’s , you’ll be exposed to an unprecedented breadth and depth of topics.

Data Science 97

Data Science Data Scientist Data Engineering Data Engineer 97

Towards AI

FEBRUARY 5, 2024

In recent years, ChatGPT has been a prominent topic of discussion in tech articles. Implementation of the Bigram Model For input corpus, we’ll make use of all the strings in names.txt words = open('names.txt', 'r').read().splitlines()words[:10] How does ChatGPT accomplish this task?

AI 111

AI AI Data Science Machine Learning 111

Kaggle

APRIL 20, 2020

I participated in the R package recommendation engine competition on Kaggle for two reasons. First, I use R a lot. I cannot learn statistics without R. This competition is my chance to give back to the community a R package recommendation engine. R that the competition organizer provides as a baseline.

Cross Validation 73

Cross Validation Machine Learning Machine Learning Computer Science 73

FlowingData

DECEMBER 13, 2021

Hadley Wickham, whose ggplot2 package in R is based on Wilkinson’s grammar, posted : Lee Wilkinson is the reason that ggplot2 exists; not just because he wrote the Grammar of Graphics, but also because he was so kind and supportive to me when I was a young grad student thinking of trying to implement it. He will be missed.

119

119

Towards AI

FEBRUARY 22, 2024

This is a separate article in itself because it’s important to develop a solid understanding of these topics before we mode onto more complex architectures like RNN and Transformers. In this article we’ll take a deeper look into activations, gradients and batch normalization. I highly recommend reading the previous articles of the series.

AI 115

AI AI Data Science Machine Learning 115

Data Science 101

MAY 20, 2019

These are my memories of the topics on the exam. Below is a breakdown of the topics I remember from the exam. These are topics which would be covered in a traditional machine learning course. Here are some of the specific topics I remember. The following topics were not covered on my exam. General Overview.

Data Science 111

Data Science Azure Data Scientist Machine Learning 111

Dataconomy

JANUARY 16, 2024

YouTube performance issues have been a topic of discussion among users of Adblock and Adblock Plus, who initially pointed fingers at Google for the slowdowns on the platform. link] — R. These problems, however, were later identified as stemming from the ad-blocking extensions themselves. uBO is *not* affected.

103

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Pickl AI

NOVEMBER 2, 2023

In this blog, we’ll explore various cheat sheets that cover a wide range of Data Science topics, making them a must-have resource for both beginners and experienced professionals. Data Scientists use a wide range of tools and programming languages such as Python and R to extract meaningful patterns and trends from data.

Data Scientist 52

Data Scientist Data Science Data Visualization Machine Learning 52

Heartbeat

MARCH 6, 2023

Computer vision has various sub-topics like segmentation, object detection, image synthesis, etc. Pre-requisites To follow along with this tutorial, you need to make sure your development environment is set up as follows: Install R binaries from their Official Website. You will install all these dependencies by using R Studio.

ML 52

ML ML Deep Learning Deep Learning 52

Pickl AI

FEBRUARY 22, 2024

Best Statistics certificate programs Program Institution Duration & Fees Key Features Data Analysis and Statistical Inference Duke University Not specified This program teaches students how to analyse and visualise data in R, implement Statistical inference models, and make data-driven decisions. Data Science Bootcamp Pickl.AI

Hypothesis Testing 52

Hypothesis Testing Data Analysis Data Analysis Data Science 52

Smart Data Collective

NOVEMBER 18, 2020

For any data you need covering health topics, you will readily find it here. Another data source with ranging topics on health. The content you can find on this data source comes in the form of blogs, datasets and resources, and all you need to do is click on the topic you are interested in. HealthData.gov. Sounds familiar?

Big Data 130

Big Data Big Data Database Analytics 130

Heartbeat

FEBRUARY 8, 2023

The first section of this article will look at the various languages that can be used for NLP, and the second section will focus on five NLP packages available in the R language. We’d also do a little NLP project in R with the “sentimentr” package. R Source: i2tutorials Statisticians developed R as a tool for statistical computing.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Deep Learning 52

Towards AI

DECEMBER 28, 2023

The industry has evolved from relying on tools like SAS and R to placing a spotlight on data visualization tools like Tableau and PowerBI. GenAI I serve as the Principal Data Scientist at a prominent healthcare firm, where I lead a small team dedicated to addressing patient needs. Expand your skillset by… courses.analyticsvidhya.com 2.

Natural Language Processing 122

Natural Language Processing Deep Learning Deep Learning Python 122

Pickl AI

APRIL 15, 2024

Accreditation, faculty expertise, and industry partnerships validate credibility, while a comprehensive curriculum covers essential topics like Python and machine learning. Course Content Evaluate the course content carefully to ensure it covers all the essential topics in Data Science.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52

ODSC - Open Data Science

MARCH 11, 2024

Introducing the Topic Tracks for ODSC East 2024 — Highlighting Gen AI, LLMs, and Responsible AI ODSC East 2024 , coming up this April 23rd to 25th, is fast approaching and this year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners.

Deep Learning 52

Deep Learning Deep Learning Data Science AI 52

Heartbeat

MARCH 8, 2023

Text Classification Using R, Keras, and Comet ML — by Klurdy Studios This tutorial will teach you how to train your binary text classifiers using Keras. The main goal of this tutorial is to equip you with the skills of using R and R Studio to build the classifier while using Comet ML’s platform to monitor your experiments.

Natural Language Processing 40

Natural Language Processing Deep Learning Deep Learning Machine Learning 40

AWS Machine Learning Blog

DECEMBER 29, 2022

With the trained model, we then set up IoT Device Simulator to publish MQTT signals to a topic that will allow testing of the system to identify desired production settings before production data is used, keeping costs low. Create an IoT rule action to read the MQTT topic an send the topic payload to Timestream for storage.

Machine Learning 76

Machine Learning Machine Learning AWS Database 76

Towards AI

APRIL 22, 2024

With increasing academic focus and investment in R&D since the 1990s, FR has become more sophisticated, benefiting from advancements in image processing and feature extraction algorithms in the early 2000s [2]. Regulation of Algorithmic Bias As of March 2024, no concrete or quantifiable regulations exist surrounding algorithmic bias.

Algorithm 111

Algorithm Deep Learning Deep Learning Machine Learning 111

ODSC - Open Data Science

FEBRUARY 15, 2023

With courses ranging in skill level from beginner to advanced and covering topics such as machine learning, NLP, MLOps, data engineering, deep learning, and much, much more, you’ll have the opportunity to craft a conference experience that matches your particular needs and interests.

Data Science 90

Data Science Machine Learning Machine Learning SQL 90

Towards AI

APRIL 5, 2023

The articles cover a range of topics, from the basics of Rust to more advanced machine learning concepts, and provide practical examples to help readers get started with implementing ML algorithms in Rust.

Machine Learning 98

Machine Learning Machine Learning Support Vector Machines Clustering 98

Mlearning.ai

JANUARY 26, 2023

Using Slido.com, participants were asked to respond anonymously to polls and word clouds on these topics, as well as to ask questions to the presenters. Marujo, R. F., & Costa, R. Marujo, R. Simoes, R. Abernathey, R., Wegener, R., Poll results can be seen below. Data, 4(3), 92. Ferreira, K.

AWS 98

AWS Database Clean Data Data Science 98

ODSC - Open Data Science

FEBRUARY 2, 2023

Data Science Skills and Competencies Aside from knowing particular frameworks and languages, there are various topics and competencies that any data scientist should know. While knowing Python, R, and SQL are expected, you’ll need to go beyond that. Data Science Of course, a data scientist should know data science!

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

Pickl AI

APRIL 5, 2023

You can choose between Python or R programming languages. Measuring Performance Model Performance Bias-Variance Visualisation Feature Engg Demo Feature Scaling Introduction to Machine Learning with R by Simplilearn This is a new introduction to the Machine Learning domain, but the course has received accolades from the learners.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Pickl AI

SEPTEMBER 12, 2023

Here are key things to keep in mind: Course Content and Curriculum Review the course syllabus and curriculum to ensure it covers the topics and skills you want to learn. Python, R). is one of the emerging tech platforms offering a host of Data Science courses.

Data Science 52

Data Science Data Analyst Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 25, 2023

Essential Tools for Data Science To get started, you’ll need to familiarize yourself with essential tools like Python, R, and SQL. R R is another powerful language for Data Analysis and Statistics. Start with the basics of supervised and unsupervised learning and gradually delve into advanced topics like deep learning.

Data Science 52

Data Science Data Analysis Data Analysis Data Visualization 52