1621846740
More Resources in AI, Data Science, and Machine Learning; Speeding up Scikit-Learn
This week on KDnuggets: More Resources for Women in AI, Data Science, and Machine Learning; Speeding up Scikit-Learn Model Training; Dask and Pandas: No Such Thing as Too Much Data; 9 Skills You Need to Become a Data Engineer; 8 Women in AI Who Are Striving to Humanize the World; and much, much more.
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FeaturesMore Resources for Women in AI, Data Science, and Machine Learning, by Gregory Piatetsky
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Speeding up Scikit-Learn Model Training, by Michael Galarnyk
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Dask and Pandas: No Such Thing as Too Much Data, by Stephanie Kirmer
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9 Skills You Need to Become a Data Engineer, by Dorian Martin
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8 Women in AI Who Are Striving to Humanize the World, by Liudmyla Taranenko
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Products, ServicesA Solid Investment: Banking on Talent Development., by SAS
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Start a career in Computer Science with Penn’s Master in Computer Science and Information Technology, by Coursera
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Tutorials, OverviewsUnderstanding NoSQL Document Databases, by Alex Williams
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Beautiful decision tree visualizations with dtreeviz, by Eryk Lewinson
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11 Essential Code Blocks for Complete EDA (Exploratory Data Analysis), by Susan Maina
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Bayesian Hyperparameter Optimization with tune-sklearn in PyCaret, by Antoni Baum
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Reducing the High Cost of Training NLP Models With SRU++, by Tao Lei, PhD
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Evaluating Object Detection Models Using Mean Average Precision, by Ahmed Gad
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15 common mistakes data scientists make in Python (and how to fix them), by Gerold Csendes
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Getting Started with Distributed Machine Learning with PyTorch and Ray, by Galarnyk, Liaw & Nishihara
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Opinions4 Machine Learning Concepts I Wish I Knew When I Built My First Model, by Terence Shin
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Is It Too Late to Learn AI?, by Frederik Bussler
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Top StoriesTop Stories, Mar 1-7: Top YouTube Channels for Data Science
#kdnuggets 2021 issues #ai #dask #data engineer #data science #machine learning #modeling #pandas #scikit-learn #training #women
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1621846740
More Resources in AI, Data Science, and Machine Learning; Speeding up Scikit-Learn
This week on KDnuggets: More Resources for Women in AI, Data Science, and Machine Learning; Speeding up Scikit-Learn Model Training; Dask and Pandas: No Such Thing as Too Much Data; 9 Skills You Need to Become a Data Engineer; 8 Women in AI Who Are Striving to Humanize the World; and much, much more.
-
FeaturesMore Resources for Women in AI, Data Science, and Machine Learning, by Gregory Piatetsky
-
Speeding up Scikit-Learn Model Training, by Michael Galarnyk
-
Dask and Pandas: No Such Thing as Too Much Data, by Stephanie Kirmer
-
9 Skills You Need to Become a Data Engineer, by Dorian Martin
-
8 Women in AI Who Are Striving to Humanize the World, by Liudmyla Taranenko
-
Products, ServicesA Solid Investment: Banking on Talent Development., by SAS
-
Start a career in Computer Science with Penn’s Master in Computer Science and Information Technology, by Coursera
-
Tutorials, OverviewsUnderstanding NoSQL Document Databases, by Alex Williams
-
Beautiful decision tree visualizations with dtreeviz, by Eryk Lewinson
-
11 Essential Code Blocks for Complete EDA (Exploratory Data Analysis), by Susan Maina
-
Bayesian Hyperparameter Optimization with tune-sklearn in PyCaret, by Antoni Baum
-
Reducing the High Cost of Training NLP Models With SRU++, by Tao Lei, PhD
-
Evaluating Object Detection Models Using Mean Average Precision, by Ahmed Gad
-
15 common mistakes data scientists make in Python (and how to fix them), by Gerold Csendes
-
Getting Started with Distributed Machine Learning with PyTorch and Ray, by Galarnyk, Liaw & Nishihara
-
Opinions4 Machine Learning Concepts I Wish I Knew When I Built My First Model, by Terence Shin
-
Is It Too Late to Learn AI?, by Frederik Bussler
-
Top StoriesTop Stories, Mar 1-7: Top YouTube Channels for Data Science
#kdnuggets 2021 issues #ai #dask #data engineer #data science #machine learning #modeling #pandas #scikit-learn #training #women
1618449987
How To Build A Data Science Career In 2021
For this week’s data science career interview, we got in touch with Dr Suman Sanyal, Associate Professor of Computer Science and Engineering at NIIT University. In this interview, Dr Sanyal shares his insights on how universities can contribute to this highly promising sector and what aspirants can do to build a successful data science career.
With industry-linkage, technology and research-driven seamless education, NIIT University has been recognised for addressing the growing demand for data science experts worldwide with its industry-ready courses. The university has recently introduced B.Tech in Data Science course, which aims to deploy data sets models to solve real-world problems. The programme provides industry-academic synergy for the students to establish careers in data science, artificial intelligence and machine learning.
“Students with skills that are aligned to new-age technology will be of huge value. The industry today wants young, ambitious students who have the know-how on how to get things done,” Sanyal said.
#careers # #data science aspirant #data science career #data science career intervie #data science education #data science education marke #data science jobs #niit university data science
1618137720
Top 10 Programmers To Follow On Youtube
Youtube has become a major source of information and an educational platform for many. It has an array of lessons and tutorials to learn any subject, including topics in computer science. Unlike subscription-based ed-tech models, most of the content on it is free.
Programmers, enthusiastic about teaching data science, artificial intelligence, machine learning, and deep learning are also very active on the platform and have well-established channels with videos right from the basics of programming to complex subjects of the field.
We enlisted the top programmers teaching these subjects on YouTube. Choosing the right one will depend on your experience in the field and the kind of projects you want to work on.
#opinions #ai programmers #ai tutorials on youtube #data science tutorials on youtube #deep learning #learning ai #learning data science #machine learning #online data science classes #youtube
1618235820
Top 7 Subscription-based Ed-tech Platforms For Data Science
Data science is one of the top skills in demand as jobs in the field sees an upward trend, especially after the pandemic. As a matter of fact, many online platforms are providing online data science courses. These programs also offer certifications on their completion, making aspiring data scientists more employable.
Analytics India Magazine has collated some of the top subscription-based ed-tech platforms that provide learning data science in various formats.
#adasci #association of data scientiists #data science #datacamp #ed tech platforms #learn deep learning #learn machine learning #python #start a career in ai #start a career in data science #top websites to learn ai
1618370462
Level Up 7 Data Science Skills Through YouTube
We are all familiar with the modern game design, that champions or heroes are always equipped with certain attributes and specialties. For example, Dota heroes are scored based on the aspects of agility, intelligence, and strength. To excel on the battlefield, the hero needs to have above-average scores among all attributes while additionally specialized in at least one.
So what if we think of learning data science as playing a game where all of us possess multi-dimensional abilities. Playing video games demands constantly sharpening our skills with weapons, training, or magic potion. This resembles us learning through reading, tutorials, and of course those YouTube learning resources mentioned later in this article.
First of all, let’s walk through seven essential skills that guarantee your wins in the data science game.
#data-science-training #learn-data-science #data-science-skills #data-science-resources #data-science