Data Science Dojo

OCTOBER 31, 2024

Key Skills: Mastery in machine learning frameworks like PyTorch or TensorFlow is essential, along with a solid foundation in unsupervised learning methods. Stanford AI Lab recommends proficiency in deep learning, especially if working in experimental or cutting-edge areas.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

Data Science Dojo

JULY 3, 2024

Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning. Tools and frameworks like Scikit-Learn, TensorFlow, and Keras are often covered.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Analytics Vidhya

MARCH 8, 2023

The Biggest Data Science Blogathon is now live! Knowledge is power. Sharing knowledge is the key to unlocking that power.”― Martin Uzochukwu Ugwu Analytics Vidhya is back with the largest data-sharing knowledge competition- The Data Science Blogathon.

Data Science 341

Data Science Analytics Analytics Apache Hadoop 341

Analytics Vidhya

JANUARY 8, 2023

Hey, are you the data science geek who spends hours coding, learning a new language, or just exploring new avenues of data science? If all of these describe you, then this Blogathon announcement is for you! Analytics Vidhya is back with its 28th Edition of blogathon, a place where you can share your knowledge about […].

Data Science 325

Data Science Analytics Analytics Hadoop 325

Pickl AI

JULY 25, 2023

With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently. Machine Learning: Supervised and unsupervised learning techniques, deep learning, etc.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Pickl AI

MAY 29, 2024

These skills encompass proficiency in programming languages, data manipulation, and applying Machine Learning Algorithms , all essential for extracting meaningful insights and making data-driven decisions. Programming Languages (Python, R, SQL) Proficiency in programming languages is crucial.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

IBM Journey to AI blog

JULY 6, 2023

Both data science and machine learning are used by data engineers and in almost every industry. It’s unnecessary to know SQL, as programs are written in R, Java, SAS and other programming languages. Python is the most common programming language used in machine learning.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70