KDnuggets

SEPTEMBER 17, 2019

We identify two main groups of Data Science skills: A: 13 core, stable skills that most respondents have and B: a group of hot, emerging skills that most do not have (yet) but want to add. See our detailed analysis.

Data Science 308

Data Science Data Visualization Deep Learning Deep Learning 308

KDnuggets

NOVEMBER 14, 2019

Producing accessible data visualizations is a key data science skill. The following guidelines will help you create the best representations of your data using R and Python's Pandas library.

Python 258

Python Data Visualization Data Science 258

Analytics Vidhya

APRIL 3, 2019

The post Top 5 Machine Learning GitHub Repositories and Reddit Discussions from March 2019 appeared first on Analytics Vidhya. Introduction GitHub repositories and Reddit discussions – both platforms have played a key role in my machine learning journey. They have helped me develop.

Machine Learning 295

Machine Learning Machine Learning Analytics Analytics 295

KDnuggets

SEPTEMBER 19, 2019

“I want to learn machine learning and artificial intelligence, where do I start?”

Machine Learning 305

Machine Learning Machine Learning Data Science Artificial Intelligence 305

KDnuggets

DECEMBER 12, 2019

Python's plotting libraries such as matplotlib and seaborn does allow the user to create elegant graphics as well, but lack of a standardized syntax for implementing the grammar of graphics compared to the simple, readable and layering approach of ggplot2 in R makes it more difficult to implement in Python.

Python 307

Python Data Visualization Data Science 307

KDnuggets

SEPTEMBER 23, 2019

Also: Explore the world of Bioinformatics with Machine Learning; My journey path from a Software Engineer to BI Specialist to a Data Scientist; 5 Beginner Friendly Steps to Learn Machine Learning and Data Science with Python; 10 Great Python Resources for Aspiring Data Scientists.

Data Science 221

Data Science Data Scientist Machine Learning Machine Learning 221

KDnuggets

JULY 29, 2019

This free ebook is a great resource for data science beginners, providing a good introduction into Python, coding with Raspberry Pi, and using Python to building predictive models.

Python 197

Python Data Science 197

Analytics Vidhya

OCTOBER 19, 2022

This article was published as a part of the Data Science Blogathon. Later in 2019, the researchers proposed the ALBERT (“A Lite BERT”) model for self-supervised learning of language representations, which shares the same architectural backbone as BERT.

Supervised Learning 338

Supervised Learning Data Science Analytics Analytics 338

KDnuggets

SEPTEMBER 19, 2019

Check out this detailed tutorial on applying data science to the cybersecurity domain, written by an individual with backgrounds in both fields.

Data Science 231

Data Science Python Machine Learning Machine Learning 231

Data Science Dojo

MAY 3, 2023

Most Data Science enthusiasts know how to write queries and fetch data from SQL but find they may find the concept of indexing to be intimidating. This blog will aim to clear concepts of how this additional tool can help you efficiently access data, especially when there are clear patterns involved.

Python 369

Python Clustering SQL Data Science 369

Analytics Vidhya

DECEMBER 17, 2019

The post 20 Most Popular Machine Learning and Deep Learning Articles on Analytics Vidhya in 2019 appeared first on Analytics Vidhya. Introduction High-quality machine learning and deep learning content – that’s the piece de resistance our community loves. That’s the peg we hang our hat.

Deep Learning 268

Deep Learning Deep Learning Machine Learning Machine Learning 268

KDnuggets

SEPTEMBER 9, 2019

This is a collection of 10 interesting resources in the form of articles and tutorials for the aspiring data scientist new to Python, meant to provide both insight and practical instruction when starting on your journey.

Data Scientist 307

Data Scientist Python Data Science 307

KDnuggets

NOVEMBER 28, 2019

Open source is becoming the standard for sharing and improving technology. Some of the largest organizations in the world namely: Google, Facebook and Uber are open sourcing their own technologies that they use in their workflow to the public.

Data Science 400

Data Science AI AI Data Scientist 400

KDnuggets

SEPTEMBER 30, 2019

Also: 12 Deep Learning Researchers and Leaders; Natural Language in Python using spaCy: An Introduction; A Single Function to Streamline Image Classification with Keras; Which Data Science Skills are core and which are hot/emerging ones?; 6 bits of advice for Data Scientists.

Deep Learning 159

Deep Learning Deep Learning Data Science Data Scientist 159

KDnuggets

OCTOBER 22, 2019

Convert your Data Science Projects into cool apps easily without knowing any web frameworks.

Data Scientist 253

Data Scientist Data Science Python 253

KDnuggets

NOVEMBER 13, 2019

On KDnuggets this week: Orchestrating Dynamic Reports in Python and R with Rmd Files; How to Create a Vocabulary for NLP Tasks in Python; What is Data Science?; The Complete Data Science LinkedIn Profile Guide; Set Operations Applied to Pandas DataFrames; and much, much more.

Data Science 136

Data Science Python Deep Learning Deep Learning 136

KDnuggets

DECEMBER 16, 2019

Also: Plotnine: Python Alternative to ggplot2; AI, Analytics, Machine Learning, Data Science, Deep Learning Technology Main Developments in 2019 and Key Trends for 2020; Moving Predictive Maintenance from Theory to Practice; 10 Free Top Notch Machine Learning Courses; Math for Programmers!

Machine Learning 132

Machine Learning Machine Learning Data Science Deep Learning 132

KDnuggets

JULY 30, 2019

Data Scientists need computing power. Whether you’re processing a big dataset with Pandas or running some computation on a massive matrix with Numpy, you’ll need a powerful machine to get the job done in a reasonable amount of time.

Data Science 294

Data Science Data Scientist Big Data Big Data 294

KDnuggets

DECEMBER 11, 2019

AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments and Key Trends; Down with technical debt! Clean #Python for #DataScientists; Calculate Similarity?-?the the most relevant Metrics in a Nutshell.

Deep Learning 137

Deep Learning Deep Learning Machine Learning Machine Learning 137

Data Science 101

NOVEMBER 7, 2019

Microsoft just held one of its largest conferences of the year, and a few major announcements were made which pertain to the cloud data science world. Azure Synapse Analytics can be seen as a merge of Azure SQL Data Warehouse and Azure Data Lake. Python support has been available for a while. Azure Synapse.

Data Science 106

Data Science Azure SQL Machine Learning 106

Data Science 101

APRIL 29, 2019

Here is the latest data science news for the week of April 29, 2019. From Data Science 101. The Go Programming Language for Data Science Quick Video Tutorial for Find Updates in Azure Two-Minute Papers, One Pixel attack on NN. General Data Science. What do you think?

Data Science 81

Data Science Deep Learning Deep Learning Azure 81

KDnuggets

OCTOBER 2, 2019

This week, find out what the future of analytics and data science holds; get an introduction to spaCy for natural language processing; find out how to use time series analysis for baseball; get to know your data; read 6 bits of advice for data scientists; and much, much more!

Data Science 159

Data Science Natural Language Processing Analytics Analytics 159

Smart Data Collective

NOVEMBER 18, 2020

The Data Scientist profession today is often considered to be one of the most promising and lucrative. The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. What is Data Science? Definition: Data Mining vs Data Science.

Data Mining 144

Data Mining Data Mining Data Mining Data Science 144

KDnuggets

DECEMBER 18, 2019

Ultralearn Data Science; Python Dictionary How-To; Top stories of 2019 and more. Build Pipelines with Pandas Using pdpipe; AI, Analytics, ML, DS, Technology Main Developments, Key Trends; New Poll: Does AutoML work?

ML 140

ML ML Analytics Analytics 140

KDnuggets

OCTOBER 7, 2019

As a data scientist, your most important skill is creating meaningful visualizations to disseminate knowledge and impact your organization or client. These seven principals will guide you toward developing charts with clarity, as exemplified with data from a recent KDnuggets poll.

Data Visualization 307

Data Visualization Data Science Data Scientist Python 307

KDnuggets

JULY 24, 2019

Also: Data Science Jobs Report 2019: Python Way Up, TensorFlow Growing Rapidly, R Use Double SAS; The Hundred-Page Machine Learning Book Book Review; The Evolution of a ggplot; Notes on Feature Preprocessing: The What, the Why, and the How.

Machine Learning 143

Machine Learning Machine Learning Data Science Python 143

KDnuggets

JULY 31, 2019

Learn the essential skills needed to become a Data Science rockstar; Understand CNNs with Python + Tensorflow + Keras tutorial; Discover the best podcasts about AI, Analytics, Data Science; and find out where you can get the best Certificates in the field.

Data Science 129

Data Science Analytics Analytics Data Scientist 129

Towards AI

AUGUST 7, 2024

From Solo Notebooks to Collaborative Powerhouse: VS Code Extensions for Data Science and ML Teams Photo by Parabol | The Agile Meeting Toolbox on Unsplash In this article, we will explore the essential VS Code extensions that enhance productivity and collaboration for data scientists and machine learning (ML) engineers.

Data Science 116

Data Science ML ML Data Scientist 116

KDnuggets

SEPTEMBER 16, 2019

Also: The 5 Graph Algorithms That Data Scientists Should Know; Many Heads Are Better Than One: The Case For Ensemble Learning; BERT is changing the NLP landscape; I wasn't getting hired as a Data Scientist; There is No Free Lunch in Data Science.

Data Scientist 201

Data Scientist Data Science Python Algorithm 201

Data Science 101

FEBRUARY 11, 2019

The profile of a data scientist is changing slightly as the profession becomes more solidified. Data Science 365 conducts a study to determine some of the characteristics of a “typical data scientist.” It is definitely worth looking at to understand the attributes of a data scientist in 2019.

Data Scientist 85

Data Scientist Data Science Python 85

KDnuggets

SEPTEMBER 25, 2019

Python Libraries for Interpretable Machine Learning; Scikit-Learn: A silver bullet for basic machine learning; I wasn't getting hired as a Data Scientist. So I sought data on who is; Which Data Science Skills are core and which are hot/emerging ones?

Machine Learning 137

Machine Learning Machine Learning Python Data Scientist 137

Data Science 101

NOVEMBER 22, 2019

Here are this week’s news and announcements related to Cloud Data Science. Google is launching Explainable AI which quantifies the impact of the various factors of the data as well as the existing limitations. AWS Storage Day On November 20, 2019, Amazon held AWS Storage Day. Announcements.

Cloud Data 99

Cloud Data Data Science Azure AWS 99

Smart Data Collective

JUNE 10, 2019

This article, therefore, discusses the top programming languages of 2019. Python is one of the most important languages for data science. The popularity of python has been on the rise and is showing no signs of waning. Not many data scientists specialize in JavaScript programming. JavaScript.

Python 105

Python Data Scientist Machine Learning Machine Learning 105

KDnuggets

SEPTEMBER 10, 2019

In this post, I am going to be talking about some of the most important graph algorithms you should know and how to implement them using Python.

Algorithm 307

Algorithm Data Scientist Python Data Science 307

KDnuggets

SEPTEMBER 3, 2019

In this tutorial, you will learn how to run task scheduler to web scrape data from Lazada (eCommerce) website and dump it into SQLite RDBMS Database.

Database 306

Database Python Data Science 306

KDnuggets

AUGUST 21, 2019

This week's news: Become More Marketable as a Data Scientist; Command Line Basics Every Data Scientist Should Know; Chatbots with Keras!; Understanding Cancer using Machine Learning; Statistical Modelling vs Machine Learning; Is Kaggle Learn a "Faster Data Science Education?"; and much more!

Data Scientist 144

Data Scientist Data Science Machine Learning Machine Learning 144

KDnuggets

AUGUST 13, 2019

Apache Spark is one of the hottest and largest open source project in data processing framework with rich high-level APIs for the programming languages like Scala, Python, Java and R. It realizes the potential of bringing together both Big Data and machine learning.

Big Data 61

Big Data Big Data Machine Learning Machine Learning 61