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Tag: artificial intelligence courses by E&ICT Academy

5 steps to master python for artificial intelligence

Posted on by Imarticus Learning

Python is among the most-used programming languages on the globe. Developed in 1991, Python has been useful for new-age technologies also. Python is helpful for new-age technologies like AI (Artificial Intelligence) and machine learning. AI algorithms can be developed easily with Python as compared to other programming languages.

Most of the companies and AI experts find Python easy than other programming languages. Python has left behind some popular programming languages like C and Java when it comes to AI. Read on to know five steps to master Python for AI.

 

  • Learn the basic concepts of AI

 

Before you start making AI algorithms with Python, you should know basic AI terminologies. You should know different types of learning methods for AI algorithms, agents, environment, and other basic things about AI. You do not need to know everything about AI initially. Learning AI with Python is the perfect way to become an expert. However, you need to know the basic AI terminologies beforehand.

Getting your concepts cleared is of utmost importance. You cannot become an AI expert if you don’t know much about the basics. Knowing the basic concepts of AI and its importance is as important as knowing the complex concepts.

 

  • Learn the syntax of Python

 

For every programming language, you first learn its syntax. The syntax can be referred to as the code writing style which is different for each language. Python is chosen by AI experts because it has a simple syntax and involves less coding. You need a way of writing code in Python first to master it in the future. It won’t take much time to learn the syntax of Python. You can join an online Python course to learn quickly.

 

  • Join an online course for AI with Python

 

You need to go for an online course for AI with Python to master it quickly. An industry-oriented course can help you in learning Python for building smart AI algorithms. Imarticus Learning is a reliable source that can provide you with artificial intelligence and machine learning certification. With a globally-recognized artificial intelligence and machine learning certification, you can also get a job as an AI expert. 

Best Python programming course for Artificial IntelligenceImarticus provides an artificial intelligence course that helps you earn a job. The Certification in AI & ML gives you a chance to learn according to the curriculum of IIT Guwahati. You can learn from a premier institute of the nation from your couch with Imarticus Learning.

 

  • Know about Python libraries for AI

 

Python has many built-in libraries for AI which makes the task easy. A python library is a pre-existing chunk of code that can be used time and again for your AI projects. Python libraries save your time when working on AI projects. Some of the Python libraries used by AI professionals are NumPy, SimpleAI, SciPy, Matplotlib, etc. Make sure about the function and capability of each Python library for AI. It can save you time when designing AI algorithms.

 

  • Work on some AI projects with Python

 

Choose a Python course that allows you to work on AI projects. Working on AI projects can help you learn Python more quickly. You would not want to make mistakes as an AI employee. It is better to make mistakes beforehand and learn from them by working on AI projects. The AI course offered by Imarticus lets you work on around 25 industry-related projects.

Conclusion

Python is a simple programming language that is easy to use and learn. It is why many AI experts choose Python for boosting their productivity. You can learn about the role of Python in AI via the online course offered by Imarticus. Start your artificial intelligence course right away!

Why artificial intelligence and machine learning is the new blue print for the data science industry

Posted on by Imarticus Learning

Data science is a broad discipline concerning data systems and processes with the aim to maintain data sets and derive insights from them. On the other hand, Artificial Intelligence (AI) pertains to mathematical algorithms that can replicate human thought processes to understand complex relationships, plan for the future and make actionable decisions.

Machine Learning (ML), on the contrary, helps to implement AI by “training” computers to solve various tasks. Data science incorporates several areas of artificial intelligence and machine learning while primarily focusing on gaining insights from data.

But, how are these three fields related, and what is the impact of AI and ML in shaping the data science industry? Let’s find out.

Data Science, AI, and ML: Where Lies the Difference? 

Data science finds widespread use in several businesses to improve production processes, innovation of product design, and enable strategic planning. It involves techniques of mathematics, statistics, computer science, and even ML to extract knowledge from data and provide insights and decision paths. 

On the contrary, AI enables computers to observe their environment and make decisions based on what they observe. Some of the most widespread uses of AI include processing clinical data, creating chatbots and smart assistants, and financial planning. Add the machine learning component, and AI can enable computers to solve new problems such as classification and predictions.

The fields of data science, AI and ML overlap significantly and yet have subtle differences. In a nutshell, data science gives insights, AI produces actions, and ML facilitates predictions.

The Combined Effect of AI and ML on Data Science

Data science and data analytics have long been revolutionizing the business landscape. Companies that have mastered their use of data science and analytics aim to delve deeper into data to increase efficiency, boost their bottom lines and gain a competitive edge.

Thus, they are looking to incorporate AI and ML into their data infrastructure to achieve business goals. For instance, call centers have long been using conversation analytics software, platforms that leverage AI and ML to gain better data insights. 

Following are a few more examples to show how AI and ML combined with data science make a remarkable difference to organizations:

  • Conversational AI systems such as chatbots and smart assistants engage in highly interactive conversations with customers and users and capture actionable user insights in the process. 
  • Predictive analytics applications enable the analysis of dynamic datasets to make financial predictions, forecast business trends, customer behavior, etc. 
  • Hyper-personalization systems enable customized offerings to customers, such as product recommendations, targeted advertising, personalized medical care, and financial planning. 
  • Also, organizations can consistently respond to evolving threats, thanks to anomaly detection systems that leverage the potential of adaptive fraud detection and cybersecurity processes.

The business value of data science alone cannot be understated. However, integrating it with the tools and techniques of AI and ML has way more potential to produce actionable insights from the ever-expanding data pool. In conclusion, AI and ML have been impacting the data science industry for a long time and will continue to do so in the foreseeable future with even more ground-breaking innovations.

How to Learn AI?

Looking for an artificial intelligence course? There are several AI and ML courses available online with extensive coverage of data science, ML, NLP, deep learning, and computer vision. But before you settle on a course, ensure that the curriculum offers practical learning through real-world projects, has scope for ample industry exposure, and provides a globally recognized certification after course completion.