Data science is exploding in practically every region of the planet. Data scientists are in great demand because they seem to have the “magical” capacity to generate value from data for data-driven businesses and organizations.
Because of the internet, anybody can now become a data scientist. Yes, you heard me correctly. A bachelor’s degree in computer science or a doctorate in deep learning are not required to work as a data scientist. You are a data scientist if you can do what businesses want you to do: provide meaningful insight from data to help them expand their company and make choices.
Here are the 20 Best Data Science and Machine Learning Platforms;
1. Mastery of Machine Learning
The proprietor of this Machine Learning Platform, Jason Brownlee, has a Master’s and a Ph.D. in Artificial Intelligence and has worked on machine learning systems for military, startups, and severe weather forecasting.
Type:
tutorial, blog
Functionality:
A top-down strategy that focuses on going through a dataset from start to finish and obtaining a result using common platforms such as Scikit-learn, R, and Keras.
2. Elite data science
Elite Data Science and Machine Learning Platform is designed for time-constrained professionals and novices who want to study just the most relevant, commercially-viable tools and best practices in data science. They cut out the unnecessary theory and arithmetic and instead lead you along the shortest road to utilizing DS and ML at a professional level.
Type:
Guides, concept explainers, code tutorials, career assistance, tools and resources
Functionality:
As previously said, this website is excellent for teaching ideas, learning code, seeking career assistance, and locating tools and resources for DS and ML.
3. KDnuggets
KDnuggetsTM Machine Learning Platform is a premier website covering artificial intelligence, analytics, big data, data mining, data science, and machine learning.
Type:
Opinions, Tutorials, JOBS, Companies, Courses, and Datasets
Functionality:
KDnuggets is a fantastic website with a wealth of valuable materials. The current news area should be read regularly, and tutorials may help you get started.
4. Data Science 101
Ryan Swanstrom is a big data thought leader and one of the internet’s most important persons in data science.
Type:
news, blog
Functionality:
This is only a blog for reading about ideas or the most recent news in Data Science.
5. Kaggle
Kaggle Machine Learning Platform is described as a one-stop shop for sharing and collaborating on data science projects. Its latest feature, notebooks, is a must-have tool for anybody getting started with data science.
Type:
Competitions, data sets, notebooks, discussions, and courses are all available.
Functionality:
Kaggle is great for learning and competing in contests. It’s more of a learning platform where you can put your talents and aptitude to use while competing with other data aficionados. You may also develop code in Kaggle using its own notebook, which provides a no-setup, customized Jupyter Notebooks environment, free GPUs, and a massive store of community-published data and code.
6. Reddit — r/datascience
r/datascience is a place to speak about data, exchange data science experiences, get guidance on becoming a data scientist, and more!
Type:
A place to ask questions, discuss information, converse, and much more.
7. Towards Data Science
TDS Team is a 15-person multinational team that works on the material that is published on Towards Data Science. Every day, they read submissions from writers all around the globe and provide comments to a large number of authors. Their objective is to provide well-written, useful content that our readers will like reading.
Type:
Data Science, Machine Learning, Programming, Visualization, and Artificial Intelligence
Functionality:
TDS is a platform for reading and learning. If you’re a Medium writer, you may submit pieces to their magazine and, if you’re fortunate, you could get the opportunity to write for TDS. I read TDS on the train to work, and the articles are usually excellent and helpful.
8. Analytics Vidhya
It offers a knowledge platform for Analytics and Data Science professionals that is community-based. Their goal is to become a one-stop shop for all Data Science Professionals’ information and career demands.
Type:
Courses, Hackathons, and Bootcamp (paid)
Functionality:
AV is appropriate for people who want to participate in hackathons and hone their DS abilities. The blogs and articles are very interesting and entertaining to read.
9. Data Science Dojo
DSD Machine Learning Platform was formed by Raja Iqbal as a meeting club in Seattle. Raja quit his then-current work at Microsoft to start Data Science Dojo as a business (DSDaaB), which teaches data science bootcamps all around the globe, with the objective of making data science accessible to everyone. In a nutshell, Data Science Dojo teaches everyone how to utilize data to find new insights and make sound choices.
Type:
video lessons, and a blog
Functionality:
This website is for anyone who want to learn about data science, data engineering, big data analytics, AI, and machine learning.
The best features are that the website is incredibly straightforward and simple to use. The featured articles are prominently displayed at the top of the page, and as you scroll down, you’ll see popular tags such as #datascience and #Analytics, among others.
10. Geeks for Geeks — Machine Learning
Another well-known Machine Learning Platform for computer science nerds is Geeks for Geeks. This website has almost everything, from algorithms and data structures to interviews and internships. Their machine learning part is fantastic, and it gives a learning route for novices.
Type:
articles, tutorials, and blogs
Functionality:
It’s a vast collection of well-categorized articles and an excellent destination for newbies seeking for free information.
11. Google News — Data Science
Google News — Data Science provides the most recent data science news and updates. From lessons and blogs to industry news and startups, we have it all. There are several stories from Forbes, TechRepublic, and InfoWorld that you may read.
Type:
news
Functionality:
Daily reading is preferred.
12. Datafloq
Datafloq Machine Learning Platform is a one-stop shop for anything related to big data, blockchain, and artificial intelligence. They provide information, insights, and opportunities for developing technologies to drive innovation.
Type:
blog
Functionality:
It’s entertaining to read articles on the newest AI technologies and Big Data news.
13. Domino Data Science Blog
Domino Data Lab’s objective is to help data scientists achieve their professional and personal goals. They assist data scientists in accelerating their work by developing and curating material for the following sites and channels: Data Science, Code, Machine Learning, Practical Techniques, Leaders at Work, Model Management & Engineering.
Type:
blog
Functionality:
This site contains excellent material for intermediate data scientists since the topics covered are rather sophisticated.
14. data36
The creator of this Machine Learning Platform, Tomi Mester, is a data analyst and researcher. In his blog, he provides you an inside look at the best practices of online data analysts. You’ll discover articles and videos about data analysis, AB-testing, research, data science, and other topics…
Type:
blog
Functionality:
For reading data science papers and watching fantastic data science tool tutorials.
15. Revolutions
Revolution Machine Learning Platform is a news digest covering Artificial Intelligence, Machine Learning, and Data Science. Revolution Analytics (owner) recently highlighted an eclectic assortment of noteworthy blog pieces, product announcements, and data applications from Microsoft and others.
Type:
news
Functionality:
This blog is just a route for the most recent news regarding Open Source AI, ML & Data Science, and Industry News, which are updated monthly. This blog is also devoted to news and information of interest to R community members. As a result, it is preferable if you be a R user.
16. Edwin Chen
Edwin Chen — MIT math/CS/linguistics, MSR voice recognition, Clarium quant trading, Twitter advertisements, Dropbox data science, Google statistics/ML He manages the site and is excellent at discussing AI, statistics, data science, and human computation in his own unique manner.
Type:
blog
Functionality:
Brush up on your AI, statistics, data science, and machine learning expertise.
17. Pete Warden’s Blog
Pete Warden is an engineer and the CTO of Jetpac Inc. He is the author of O’Reilly’s The Public Data Handbook and The Big Data Glossary, as well as the creator of OpenHeatMap, the Data Science Toolkit, and other open-source initiatives. His blog has fantastically well-structured short posts that are both useful and educational.
Type:
blog
Functionality:
This blog is for Data Science enthusiasts who want to go deeper into anything data and discover.
18. InsideBIGDATA
InsideBIGDATA is a news source that distills Big Data news, strategies, products, and services for data scientists, as well as IT and business experts.
Type:
blog
Functionality:
For reading and keeping up with current events.
19. Google AI Blog
Google AI is performing cutting-edge research in the area, applying AI to products and new fields, and providing tools to guarantee that everyone has access to AI. Their blog features the most recent Google AI news.
Type:
Papers about research
Functionality
The Google AI blog is for AI specialists to stay up to date on all things Google AI.
20. Nature Machine Intelligence
Nature Machine Learning Platform is a weekly worldwide publication that publishes the best peer-reviewed research in all areas of science and technology. Nature Machine Intelligence is interested in the greatest research from the domains of artificial intelligence, machine learning, and robotics and strives to give timely, authoritative, informative, and captivating news in these subjects. A staff of full-time professional editors makes all editorial choices.
Type:
Opinions, news, and academic articles
Functionality:
Read the most recent Machine Intelligence news and advancements.
Bottom Line
More than half of the economy will be turning into the digital world at the end of 2023, hence it is important to get comfortable with data science and Machine Learning Platforms. Above mentioned platforms are the easiest ways to learn data science from professionals. We hope our blog guided you properly towards learning machine learning and data science and you can opt for these Machine Learning Platforms to get a better employment opportunity in the future.
