Knowledge Hut

FEBRUARY 29, 2024

Blogs KDnuggets: It is one of the compelling and regularly updated sites for blogs on analytics, Data Science, Big Data and machine learning. Top 10 Data Science Websites to Follow Now, as we have little understanding of data science, we will have a look at following topics to know more about data science and newer developments in it.

Data Science 98

Data Science Datasets Database Design Machine Learning 98

KDnuggets

NOVEMBER 3, 2021

What Google Recommends You do Before Taking Their Machine Learning or Data Science Course; A Guide to 14 Different Data Science Jobs; Analyze Python Code in Jupyter Notebooks; Machine Learning Model Development and Model Operations: Principles and Practices; Want to Join a Bank?

Machine Learning 65

Machine Learning Data Science Banking Python 65

KDnuggets

OCTOBER 23, 2019

Also: The 5 Classification Evaluation Metrics Every Data Scientist Must Know; How to Recognize a Good Data Scientist Job From a Bad One; How to Easily Deploy Machine Learning Models Using Flask.

Machine Learning 45

Machine Learning Systems Data 45

Monte Carlo

JULY 16, 2021

Because of this, I always recommend that teams track how much time, money, and resources data engineers save and directly tie their work to the impact-driven by data scientists and analysts. I hate to say it, but all-too-frequently, data engineers get attention only when things break and are overlooked when data systems work well.

Data Science 40

Data Science Data Engineering Data Engineer Engineering 40

Knowledge Hut

NOVEMBER 27, 2023

KDnuggets - They offer a variety of tutorials covering almost everything in Data Science. Top applications of Data Science in Media and Entertainment include Customer Sentiment Analysis, Hyper-targeted advertisement, Smart Recommendations, Personalized Content Experiences, etc. It’s a great place to learn Data Science.

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

U-Next

SEPTEMBER 19, 2022

An internship with a Data Science firm is recommended. After SQL, it is the expertise that employers most value, according to KDNuggets. After a Data Science learning path , you can work in Data Science if you enjoy playing with numbers and are familiar with the fundamental ideas of math and statistics.

Data Science 40

Data Science Programming Language Unstructured Data Data Mining 40

Knowledge Hut

JULY 4, 2023

You would frequently be requested to provide data-supported recommendations for future business decisions and operational procedures. A strong eye for detail and the capacity to spot trends and abnormalities in huge data sets are a must. It’s the prerequisite for becoming a good data analyst.

Data Analytics 52

Data Analytics Data Architect Transportation Data Science 52

ProjectPro

APRIL 14, 2021

Recommended Reading: Introduction to dplyr package Recommended Reading: dplyr Manipulation Verbs Build a Job-Winning Data Science Portfolio. Then there is KDNuggets which also has a lot of data science-related articles. It sends out daily newsletters curating their best articles.

Data Science 40

Data Science Portfolio Machine Learning Python 40

ProjectPro

JUNE 17, 2016

Access Job Recommendation System Project with Source Code Include a Crisp LinkedIn Summary and Headline to attract the attention of Big Data Recruiters People often make the mistake of leaving the summary section blank but without a summary, your LinkedIn profile will be like a boat without a paddle. It will look similar to this.

Hadoop 40

Hadoop Recruitment Big Data NoSQL 40

Knowledge Hut

SEPTEMBER 6, 2023

Make business recommendations with complex machine learning models. Some of the top names that I would suggest are: KDnuggets Data Science Central Towards Data Science Big Data Republic Most certifications have their own courses. Deploy models at scale using the flexible, robust SAS environment.

Big Data 52

Big Data Certification Hadoop Scala 52