Hold your head up high! The rise of artificial intelligence (AI) and machine learning (ML) are poised to bring a new era of civilization and not destroy them.
Yet, there’s fear that technology will displace the current workers or tasks, and that’s partly true. As predicted by researches, the speed at which AI is replacing jobs is bound to skyrocket, impacting the jobs of several workers such as factory workers, accountants, radiologists, paralegal, and truckers.
Shuffling and transformation of jobs around the workforce are being witnessed, thanks to the technological epoch.
But hey, we’re still far from Terminator.
What can be the odds?
The fear is good, perhaps it is only a matter of time before AI and automation will replace the jobs of millions of tech professionals. A 2018 report by the ‘World Economic Forum’ suggested that around 75 million jobs will be displaced due to automation and AI in the next five years. The good news is, despite these many jobs will be replaced, at the same time, there will also be a creation of 133 million newer job roles for AI engineers and AI experts.
Simply said, within the next five years, there will be near about 58 million newer job roles in the field of AI.
Instead of worrying about AI and automation stealing your job, you should be considering how you need to reshape your career.
AI and ML in the workplace: How prepared are you for the impact?
AI and machine learning projects are now leading every industry and sector into the future of technological advancements. The question is, what are the best ways for you to bring these experiences into reality? What are the programming languages that can be used for machine learning and AI?
Think ahead, you can start by considering Python for machine learning and AI.
But why Python?
Python is the foundational language for AI. However, the projects do differ from a traditional software project, thus, it is necessary to dive deeper into the subject. The crux of building an AI career is by learning Python – a programming language that is loved by all because it is both stable and flexible. It is now widely used for machine learning applications and why not, it has become one of the best choices across industries.
Over here, we will list down why Python is the most preferred programming language by AI experts today:
Huge bundle of libraries/frameworks
It is often a tricky task to choose what best fits while running an ML or an AI algorithm. It is crucial to have the right set of libraries, a well-structured environment for developers to come up with the best coding solution.
To ease their development timings, most developers rely on Python libraries and frameworks. In a software library, there are already pre-written codes that the developers look up to solve programming challenges. This is where Python’s pre-existing extensive set of libraries play a major role in providing them with the set of libraries and frameworks to choose from. To name a few are: –
- SciPy – advanced computing
- Keras – machine learning and deep learning models
- Scikit-learn – data modeling
- NumPy – data cleaning and data manipulation
- Seaborn – data visualization
- Caffe – image processing
- Pandas – general usage for analysis of data
- PyTorch – training deep learning models
- OpenCV – image processing
With these solutions, it gets easier for the developer to develop your product faster. Even so, the development team needs to waste time finding the libraries that will best suit their project. They can always use an existing library for the implementation of further changes.
Holds a strong community and wide popularity
According to a developer survey Stack Overflow (2018), Python was seen to be among the top most popular programming language amongst developers. This simply means, for every job that you seek in the job market, AI will always be one of the skillsets that they will look to hire for.
It is also seen that there are nearly more than 140,000 online repositories that have custom-built software packages of Python. For instance, Python libraries such as SciPy, NumPy, and Matplotlib can easily be installed in a program that runs on Python.
Python was pointed out to be 2019’s 8th fastest growing programming language with a growth rate of 151% year on year.
Now, these packages used in machine learning helps AI engineers detect patterns from a large dataset. Python’s popularity is widely known that even Google uses this language to crawl web pages. Pixar, an animation studio uses it to produce movies. Surprisingly, even Spotify uses Python for song recommendation.
Within the past years, Python has managed to grow its community worldwide. You can find multiple platforms and forums where machine learning solutions are shared. For every problem, you’ve faced you’ll always find there’s already someone who has been through with the same problem. Thus, it is easy to find solutions and guidance through this community.
Platform-independent
This simply means, a programming language or a framework allows developers to implement things on a single machine learning, and the same can be used on another machine learning without further changing anything. The best factor about Python is that it is a language that is platform-independent and is supported by several other platforms such as Windows, macOS, and Linux.
Python code can itself create a standalone program that is executable in most operating systems without even needing a Python interpreter.
Simple and most loved programming language
Python is said to be the simplest and the most consistent programming language offering readable code. While there are complex algorithms that stand along with machine learning, Python’s concise and easy readability allows AI professionals to write easy systems that are reliable. This allows the developers to solve complex machine learning problems instead of dealing with technical issues of the language.
So far Python is projected to be the only language that is easy for developers to learn. Some say Python is intuitive as compared to other programming languages. While others believe, it is due to the number of libraries Python offers that makes it suitable for all developers to use.
In conclusion
Python’s power and ease of use has catapulted it to become one of the core languages to provide machine learning solutions. Moreover, AI and ML have been the biggest innovation so far ever since the launch of microchip, developing a career in this realm will pave a way toward the future of tomorrow.
