Here's how you can develop the advanced technical skills for AI and machine learning in IT services.

As one solidifies their skill in python programming and deep learning frameworks like PyTorch, TensorFlow, Keras, FastAI etc, it becomes essential to develop thorough understanding of concepts like model selection, hyperparameter tuning and ensemble methods. Additionally, familiarity with application of computer vision techniques, natural language processing and reinforcement learning can open up opportunities to work on cutting edge projects. To acquire these skills and understand how ML is dealt with in production, I highly recommend enthusiasts to attend conferences, meetups, and participate in hackathons or Kaggle competitions. Moreover, staying updated with latest research papers can help you stay ahead of the curve and excel.

In addition to being skilled in the basics of ai and data analysis, it is very important to have knowledge in the field in which we're using it... In other words, nowdays, artificial intelligence is an interdisciplinary field and a tool for specific applications in other specific areas.

In my opinion, instead of focusing on stats and core of Artificial Intelligence(AI) focusing on how generative AI can be helpful. Ace the basic knowledge about generative AI and try to find the ways how this helps you to advance in AI or machine learning. I believe it will be helpful other than IT fields as well.

Proficiency in programming languages like Python, combined with a strong foundation in data manipulation and analysis, is crucial. Utilize libraries like TensorFlow and PyTorch, and engage in personal projects to hone these skills.

Consider degrees in Computer Science, Data Science, Statistics, or related fields. Specialized programs in AI and machine learning can also be beneficial.Gain proficiency in Python, R, or other relevant languages. Python is particularly popular due to its extensive libraries and community support.

A solid grasp of linear algebra, probability, and calculus forms the backbone of AI and ML algorithms. Practical application of these concepts through simulations and problem-solving will strengthen your understanding.

While Python, PyTorch, or any other technology are valuable tools, mathematics is the true foundation of our work. Mastering the mathematical principles behind what you use empowers you to tackle unique problems effectively and enjoy the process. Although challenging problems can be frustrating, a solid understanding of mathematics makes solutions clearer. Remember, prioritizing mathematical knowledge will not only enhance your problem-solving abilities but also make your professional journey more enjoyable.

Tout à fait d'accord, sauf que la connaissance des mathématiques seules, reste insuffisant... Faut être capable d'appliquer les méthodes mathématiques pour arrivé à une solution, d'une problématique

Having the best tools for the job could not only help you finish the task you're working on faster, but could bring you more satisfaction in knowing that you also learned how to use that tool. Even though it is not technically an IDE, thanks to the plethora of add-ons, I cannot recommend enough Visual Studio Code. It supports connection to EC2 instances, so you could work on code stored there, it brings integration with ChatGPT autocomplete and it's backed by many add-ons from the community (but you should be careful what you install).

Il faut bien sur être a jour avec les nouveauté, les innovations et les développements dans le domaine industrielle... Par contre on peux parfois aussi développé et optimisé des solutions ou bien des outils, qui son déjà proposé dans le domaine.

The fields of AI and ML are always evolving, and so many new methods or algorithms are being developed over time. So we need to always improve our understanding by continuously learning. Ideally, we need to dedicate a little chunk of time to learning, 15 minutes every day will be better than studying for 10 consecutive hours but we only did that once a month. Skills mastery is a long and winding road. So consistency and patience is a key.

Building expertise in these areas will not only enhance your technical capabilities but also position you as a valuable asset in the IT services industry. Let’s embrace the journey of learning and innovation in AI and ML together!