Data science is one of the most exciting fields in the world of technology. It is an area of great interest and potential. Everyone wants to be a data scientist. It offers an opportunity for people to get rich and lead happier lives. There are Best Data Science Courses available for beginners to get better as Data Scientists in this field.
In this article, we will be discussing briefly why Data Science is the next big thing in IT. We will then state 5 Free Resources that you should refer to become a better Data Scientist.
Data Science is the Next Big Thing in Information Technology
Data science is a hot topic in the information technology industry. This is because it allows us to use data for everything even if we don’t know much about it. But there are also downsides to this. Data science could be a waste of time and effort as well as a distraction from the real scenario if not done in the right way.
The role of a good Data Scientist in the workplace is relevant to nearly every industry. The need for AI-assisted content generation is so significant that any branch of IT can benefit from a good Data Scientist, right from data analysis to giving recommendations on where to go next.
Looking for an opportunity of Data Scientist then find it here.
Top 5 Free Resources for Data Scientists to Learn About Machine Learning & Artificial Intelligence
Data analysis is one such area where AI has been very effective; it helps customers make better decisions and prioritise their tasks based on available information and inputs instead of guessing and guessing again. It has helped companies like Uber to improve their efficiency by analysing customers’ feedback and adjusting their processes accordingly.
By using AI and machine learning, it’s possible for any Data Scientist to make better decisions based on the available data and inputs and prioritise and guide the organisation to the best course of action.
Below are the Top 5 Free Resources for Data Scientists to learn about Machine Learning & Artificial Intelligence:
- Kaggle
- Machine Learning Mastery
- Papers With Code
- GitHub
- Google AI
1. Kaggle
Kaggle has become very popular over the past few years due to the large number of people that study and compete in Kaggle competitions. The platform provides an excellent resource for anyone interested in learning how to test and understand the accuracy of various types of AI techniques.
Kaggle is a platform that allows you to write and implement your own project from scratch using their expert resources and useful codes. It acts as a community that provides you with Jupyter Notebooks for analytics, codes for data analysis and many more. Considering what they offer, Kaggle is definitely one of the topmost free websites to learn from for all the Data Scientists who wish to do better in their careers.
2. Machine Learning Mastery
Machine learning is becoming more and more of an essential part of our daily life. We can use it to forecast our future, to learn new skills, solve problems that we didn’t know how to get solved before. If you want to learn about Machine Learning and AI and you are looking for a great free resource available on the internet, then definitely Machine Learning Mastery is your ultimate destination.
This platform is for everyone, from beginners to experts. Everyone can learn useful tips and tricks on AI and Machine Learning. They give you free access to a lot of their resources, and it is entirely up to you how you will utilise the platform to its best.
3. Papers with Code
With the rise of artificial intelligence, there are many exciting applications that can be made with it. For example, data science algorithms have been used to generate data. This is called the Big Data revolution.
Understanding of data science is to get an understanding or insight from data. In other words, the main goal is to make sure that you know everything there is about a certain topic by looking at all kinds of different points of view and from multiple sources. The goal of the website Papers with Code is to publish papers with code.
It is an open-source website published by a research group. Since here major content comprises of research papers containing codes with them, beginners might feel this resource is a bit exhausting for them. But for those experts who want to add some new feathers to their hats, this platform can work like a charm.
4. GitHub
When working in a data science environment, you often need to store and manipulate large amounts of information with rigorous mathematical laws without having access to the original source code. The situation does not get better when you are trying to build models which are able to handle complex algorithms or when you are trying to write code for new languages or technologies so that your work will be available for everyone else who needs it.
GitHub is the home of open-source projects. You can describe it as an online repository for almost anything with a computer. It is used by developers in order to share their code with the world.
GitHub is a very popular and widely used software development platform. It allows anyone to create repositories for public or private use so that developers can collaborate with each other.
5. Google AI
Anyone who has ever used the Google search engine knows it’s potential. It is no surprise that Google developed its own AI to create content for the search engine. Google is an enormous company that has a lot of AI and machine learning expertise. They have already introduced some major AI products such as Google Translate or Google Lens. Google AI is a great free resource to learn and gain more knowledge about AI.
Conclusion
In the past, data scientists had to spend a lot of time analysing and extracting data from databases Today, data analysis is becoming easier because because of the advancement in AI technologies that have made it possible.
The development of AI has been a source of inspiration for many researchers in various fields. They have been able to achieve great results by using machine learning techniques. These techniques have been used for creating AI systems that can learn from their environment and adapt to it. So it is clear the Data Scientists are going to have huge demands in future if they upskill themselves on time with the right resources. There are also other websites that offer free Data Science Courses to help you learn it faster.
