Which is better for Deep Learning MATLAB or Python?

MATLAB is a closed-source software and proprietary commercial product. Python is an open-source programming language, meaning that it is entirely free. MATLAB is a robust computing environment for mathematical or technical computing operations involving the arrays, matrices, and linear algebra while, Python is a high-level language, general-purpose programming language designed for ease of use by human beings accomplishing all sorts of tasks.

Is Emotion AI the Future of Artificial Intelligence?

Emotion AI is the sub-set of Artificial Intelligence that tries to understand human expressions and emotions, both verbal and non-verbal and Also known as Affective Computing. The technology aims to improve natural communication between human and machine to create an Artificial Intelligence that communicates in a more authentic way. If the Artificial Intelligence can gain emotional intelligence, maybe it can also replicate those emotions.

Top 10 Deep Learning Techniques Data Scientist Should Know in 2021.

Machine learning and Artificial Intellegence have changed the world in the past couple of years with ground-breaking innovations. The emergence of various technological creations, deep learning technology has gained immense popularity in scientific computing, and its algorithms are widely used in various industries to solve complex problems. Different types of deep learning techniques are used by data scientists and other data professionals to perform specific tasks.

Why Python is Better for Artificial Intelligence and Machine Learning?

Python has proven the best programming language with excellent libraries and frameworks for artificial intelligence and machine learning. They offer computational capabilities, statistical calculations, scientific calculations and much more. Artificial intelligence is used in the analysis of predictions based on databases that allow people to come up with more effective strategies and solid solutions.

How is Artificial Intelligence changing the way to get the product prototype in 2021?

Prototyping is a crucial step in the development of product life cycle. While prototyping the product can results in the significant cost savings in the long run. Advancement in technologies like AI, Machine Learning, Deep Learning and Natural language processing have the potential to dramatically reduce the time companies spend in prototyping their products. By utilizing these technology, they can speed up processes at a lower cost and minimize errors. Using this combination of factors, product development is now faster and efficient.