Blog – 3 Columns
What is Machine Learning?
What is machine learning? Machine learning is the art of computer programming that allows the computer to automatically learn and adjust its functions to refine the way they do its jobs. For eons, we have seen the human brain as the only creation with the ability to learn and process information from complex data. Through…
20 Deep Learning Applications
In many companies, the use of machine learning and deep learning techniques is going to be widely used. They can be used in the medical field to help us learn more about different diseases and to help a doctor provide an accurate diagnosis in a faster manner. They can be used in the retail industry…
What is Predictive Analysis?
Many times, we can all agree that machine learning has been able to step in and readily improve the way that we are going to interact with all of the data we have, and with the internet. For example, when we talk about machine learning, we can see it works with the search engines that…
Machine Learning Vs Deep Learning with example
While we are on this topic, we also need to spend some time looking at machine learning and how it is able to fit in with the topics of deep learning and data analysis. Machine learning is another topic that is getting a lot of attention throughout the business world, no matter which industry you…
Why Use PyTorch with the Data Analysis?
PyTorch: PyTorch is an open-source machine learning framework based on the Torch library, used for applications such as computer vision and natural language processing, primarily developed by Facebook’s AI Research lab. It is free and open-source software released under the Modified BSD license. As we mentioned above, PyTorch is one of the newest libraries out…
Keras Library for Deep Learning
On the list that we can focus on a bit is the Keras library. This is going to be one of the best options that we can work with when it comes to deep learning and handling all of that data you want to work with while completing data analysis. Keep in mind here that…