Advance your career with cutting-edge Business Intelligence courses at Luxoft Training Center. Learn to analyze data, uncover insights, and drive business st…
The course covers all the content that is necessary to effectively use Scala: operators and data types, using basic data structures such as arrays, map, tupl…
This training is designed to help participants understand these new features of Java 8. The course covers lambda expressions, data streams, stream data proce…
Since software developers often have to deal with problems of designing high-load systems to support big data processing with preset requirements to the resp…
Artificial intelligence excels at sorting through information and detecting patterns or trends. But these machine learning algorithms need to be trained with large amounts of data first.
Today we’re diving into an exciting feature within ChatGPT that has the potential to enhance your productivity by 10, 20, 30, or even 40%. If you’re keen on learning how to leverage this feature to...
I believe anyone would like to study new technologies “ on the fly ”. Any extra-efforts which may arise in comprehending some difficult subject may disgust that person and cause him or her to stop...
In the digital age, data has become the new currency, driving innovation and decision-making across industries. From predicting customer behavior to optimizing business processes, the applications of...
What is Python? If you want the TL-DR, Python is a versatile programming language that’s used in everything from web development to data science, AI, and much more.
The latest news and resources on cloud native technologies, distributed systems and data architectures with emphasis on DevOps and open source projects.
Learn everything about data science by exploring our curated collection of free courses from top universities, covering essential topics from math and programming to machine learning, and mastering the nine steps to become a job-ready data scientist.
This article serves as a detailed guide on how to master advanced Python techniques for data science. It covers topics such as efficient data manipulation with Pandas, parallel processing with Python, and how to turn models into web services.