Here are the top 10 most in-demand AI skills to pursue in 2023-24:
Machine learning is the ability of computers to learn without being explicitly programmed. It is a subset of artificial intelligence (AI) that is used to develop algorithms that can learn from data and improve their performance over time.
Deep learning is a type of machine learning that uses artificial neural networks to learn from data. Neural networks are inspired by the human brain and are able to learn complex patterns from data.
NLP is the ability of computers to understand and process human language. It is used in a variety of applications, such as chatbots, machine translation, and text analysis.
Natural language processing (NLP)
Computer vision is the ability of computers to see and understand the world around them. It is used in a variety of applications, such as self-driving cars, facial recognition, and image classification.
Data science is the field of study that deals with the collection, analysis, and interpretation of data. It is used to extract insights from data and make predictions.
Robotics is the field of study that deals with the design, construction, and operation of robots. Robots are machines that can perform tasks automatically.
Blockchain is a distributed ledger technology that is used to record transactions securely and transparently. It is used in a variety of applications, such as cryptocurrency and supply chain management.
Cloud computing is the delivery of computing services over the internet. It is used to store data, run applications, and develop software.
Cybersecurity is the protection of computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. It is essential to protect data and systems from cyberattacks.
The ethics of AI is the study of the moral and ethical implications of artificial intelligence. It is important to consider the ethical implications of AI before developing and deploying AI systems.
Ethics of AI
The best language for you will depend on your specific needs and preferences. If you are new to AI, Python is a good language to start with. It is easy to learn and has a large community of users and resources. If you are more experienced, you may want to consider a language like R or Julia, which are more powerful and expressive.