+14087965644Silicon Valley, CA, US

HomeBlogBlogMachine Learning with Python

Machine Learning with Python

Machine learning made simpler with python 

What is machine learning?

Today Artificial intelligence is one of the fastest-growing sectors in the world. Machine learning is an application that lies under artificial intelligence that can automatically learn and improve from experience without being explicitly programmed for specific tasks. Furthermore, it aims to find a general solution to a particular problem instead of finding a specific solution with high accuracy. For instance, ML can solve the problem related to medical diagnosis, image processing, prediction, classification, learning association, regression, etc.

Types of Machine learning problems?

Machine learning problems can be broadly categorized into three types, which are supervised, unsupervised, and reinforcement learning.

 Supervised Learning 

Supervised Learning is a type of machine learning problem where we want to map the input to its output labels, or it can be a regression when we want to map the information to continuous output.

For instance, supervised Learning can include naive Bayes, support vector machines, logistic regression, artificial neural networks, and random forests.

Unsupervised Learning 

Most of the real-world problems that can be solved using machine learning come under unsupervised Learning, where models try to learn our data’s inherent structure without knowing input labels for making predictions.

Reinforcement learning 

Reinforcement learning also comes under the machine learning problem; furthermore, it is the most challenging problem compared to the other two mentioned earlier. In reinforcement learning, agents are trained on reward and punishment mechanisms wherein agents are rewarded for a positive move and likewise punished for a false action.

Why choose python?

There are many languages present in the world like R, CPP, and java, which can serve as viable solutions for complex machine learning projects. Still, the most effective and popular language among data scientists is python. Python leads the pack, with more than 52 percent of data scientists preferring to use python over other languages. As python is one of the most powerful languages and at the same time easy to learn, these factors contribute to making python one of the best languages available for Machine learning.

Top python machine learning libraries  

  • Scipy
  • Tensorflow
  • Numpy
  • Pycharm
  • Keras
  • Pytorch
  • Pandas
  • Matplotlib
  • Scikit learn
  • Theranos