Naveen Pandey has more than 2 years of experience in data science and machine learning. He is an experienced Machine Learning Engineer with a strong background in data analysis, natural language processing, and machine learning. Holding a Bachelor of Science in Information Technology from Sikkim Manipal University, he excels in leveraging cutting-edge technologies such as Large Language Models (LLMs), TensorFlow, PyTorch, and Hugging Face to develop innovative solutions.
There are many type of different operations using operators in the language: Identity As we manipulate values (using variable), two values can have the same identity. This can be tested using special built-in function: id(). We use is as the identity comparison operator, and the result here shows that var and the var3 have the…
Now let’s discover data types that we can use to manipulate more data and do more things, such as lists, sets, and dictionaries. Lists A list is a sequence of arbitrary objects. You remember we said that strings are a sequence of (text) characters, so some of the things we already seen about strings apply…
Let’s quickly explore the first tools and basic syntax rules for a beginner to start using Python. But before that, know that when needed, you can find documentation on the Python.org site and many online resources, including sites like StackOverflow. Printing things We use the print() function to print stuff in Python. This is essential…
1 – What programming languages does computer vision support? Computer vision is a field of computer science and engineering that deals with how computers can be made to gain high-level understanding from digital images or videos. The following are the programming languages that support computer vision: – C++ – Java – Python – Prolog 2…
1 – What are machine learning algorithms available in OpenCV? OpenCV is an open-source library for computer vision, machine learning and image processing. It provides a set of machine learning algorithms that can be used for various applications in the field The following are some of the machine learning algorithms available in OpenCV: 1 –…
1 – What is an ensemble method in NLP? Ensemble methods are a group of machine learning algorithms that work together to solve a problem. They are typically used when the machine learning algorithm is not able to solve the problem on its own or when it has not been trained enough. An ensemble method…
1 – What are some of the common NLP tasks? NLP is the process of understanding a sentence and then generating a response. It has been used in many different industries to help humans do their jobs more efficiently. Some of the common NLP tasks are: Speech recognition: This is when a computer converts spoken…
1 – Define precision and recall? The precision and recall are two measures of data quality. They are used to determine the proportion of relevant data that is found by a search algorithm. Precision is a measure of how many of the retrieved records are correct. Recall is a measure of how many of the…
1 – What are Different Types of Machine Learning algorithms? There are various types of machine learning algorithms. The most popular ones include supervised learning, unsupervised learning and reinforcement learning. Supervised Learning: Supervised machine learning is when a human has to provide the correct answer for the algorithm to learn from. This is done by…
1 – What are autoencoders? Explain the different layers of autoencoders. Autoencoders are neural networks that are trained to reconstruct an input data into a desired output data. They can be thought of as the opposite of a traditional classifier, which is trained to classify inputs into pre-defined classes. Autoencoders can be seen as a…
1 – What is data normalization? What’s the need for it? Data normalization is a process of transforming data from one format to another in order to improve the quality of the data and make it more usable for analysis. In this process data is organized and formatted in such a way that it’s easier…
The Tanh Activation function is a scaled and shifted version of the hyperbolic tangent function, a mathematical function frequently encountered in trigonometry and calculus. The Tanh function squashes input values within the range of -1 to 1, making it a useful choice for activation functions in neural networks. Defining the Tanh Function Mathematically The mathematical…