Start with machine learning, a subset of AI. Familiarize yourself with supervised and unsupervised learning, and study algorithms like linear regression, logistic regression, decision trees, and clustering. Study Deep Learning: Deep learning is a subset of machine learning that focuses on neural networ...
There is no better way to stay informed about developments in data science than by engaging with what can often be a generous and dedicated community. Along with social media sites such as LinkedIn, Twitter, Discord, and Reddit, you can follow all kinds of niche sites, blogs, and data ...
Intro to Data Science UW / Coursera Topics: Python NLP on Twitter API, Distributed Computing Paradigm, MapReduce/Hadoop & Pig Script, SQL/NoSQL, Relational Algebra, Experiment design, Statistics, Graphs, Amazon EC2, Visualization.MathLinear Algebra / Levandosky Stanford / Book Linear Programming (...
Attractive investment promotion packages not only drew a lot of tech companies and business units to Thailand, but also lifted a lot of the restrictions when it came to hiring foreigners. The result was a surge in demand for qualified prospects. Nowadays, when looking at anything from digital ...
Courses and online trainingcan be great but they won’t teach you how to do apply it in a real-life setting. For things like statistics it doesn’t matter, but for technical subjects knowing “about” it is only half of the mastery. It doesn’t take more than a quick glance atReddit...
One way is to study a world and yet another, each a lifeworld and whole of its own, and extend these cases to note parallels and discrepancies.36 My approach is to weld together from the start the many cases as parts into a whole. Recognition comes from the multiplication of micro-...