Machine Learning

27th February 2020

Machine Learning Engineer vs Data Scientist: A Career Comparison

Website Development In Junagadh Machine Learning Engineer vs Data Scientist: A Career Comparison In this 21st century that revolves around the enormously growing data, it has become a necessity for humans to create powerful processing machines. These machines should provide automation for processing large amounts of data. To build all these systems, we require professionals such as Machine Learning Engineer and Data Scientist. This blog is entirely focused on the concept of Machine Learning Engineer vs Data Scientist, and it’s a career comparison study. Website Development In Junagadh “Knowledge is power. Data is the new currency. Data Science is both,” […]
29th January 2020

Gradient Boosting in Machine Learning

Website Designing Company Junagadh Human beings have created a lot of automated systems with the help of Machine Learning. But, there is a lot of scope for improving the automated machines by enhancing their performance. This upgrading of machines is possible with the help of boosting. So, before learning gradient boosting technique lets understand about boosting. What is Boosting? Boosting is a technique to combine weak learners and convert them into strong ones with the help of Machine Learning algorithms. It uses ensemble learning to boost the accuracy of a model. Ensemble learning is a technique to improve the accuracy […]
16th January 2020

Creating and Visualizing Decision Tree Algorithm in Machine Learning Using Sklearn

In this decision tree tutorial blog, we will talk about what a decision tree algorithm is, and we will also mention some interesting decision tree examples. The blog will also highlight how to create a decision tree classification model and a decision tree for regression using the decision tree classifier function and the decision tree regressor function, respectively. Also, it will discuss about decision tree analysis, how to visualize a decision tree algorithm in Machine Learning using Python, Scikit-Learn, and the Graphviz tool. What is Decision Tree? Decision Tree in Python and Scikit-Learn Decision Tree algorithm is one of the […]
15th January 2020

What is PyCharm?

PyCharm is a hybrid-platform developed by JetBrains as an IDE for Python. It is commonly used for Python application development. Some of the unicorn organizations such as Twitter, Facebook, Amazon, and Pinterest use PyCharm as their Python IDE! It supports two versions: v2.x and v3.x. We can run PyCharm on Windows, Linux, or Mac OS. Additionally, it contains modules and packages that help programmers develop software using Python in less time and with minimal effort. Further, it can also be customized according to the requirements of developers. Features of PyCharm: Why should we use it for our next Python project? […]
2nd January 2020

What is Artificial Intelligence? (AI)

Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing (NLP), speech recognition and machine vision. AI programming focuses on three cognitive skills: learning, reasoning and self-correction. Learning processes. This aspect of AI programming focuses on acquiring data and creating rules for how to turn the data into actionable information. The rules, which are called algorithms, provide computing devices with step-by-step instructions for how to complete a specific task. Reasoning processes. This aspect of AI programming focuses on choosing the right algorithm to reach a desired outcome. Self-correction processes. This aspect […]
3rd June 2019

Machine Learning With DAAL4PY

Daal4py makes your Machine Learning algorithms in Python lightning fast and easy to use. It provides highly configurable Machine Learning kernels, some of which support streaming input data and/or can be easily and efficiently scaled out to clusters of workstations. Internally it uses Intel® DAAL (Intel® Data Analytics Acceleration Library) to deliver the best performance. Designed For Data Scientists And Framework Designers daal4py was created to give data scientists the easiest way to utilize Intel® DAAL’s powerful machine learning building blocks directly in a high-productivity manner. A simplified API gives high-level abstractions to the user with minimal boilerplate, allowing for […]