Machine learning is a kind of Artificial Intelligence (AI) or subfield of computer science that aims at creating computer programs that can change when exposed to new data. Under it, the major focus is to enable machines (computers in this case) learn without being explicitly programmed.
This type of AI has been creeping into our everyday lives for awhile now: for example Facebook’s News Feed uses machine learning to feed users content. Machine learning is now helping to deal with spam in Emails on the Internet.
Additionally, search engine such as Google use machine learning to provide the most relevant matching result to users’ queries – the list is endless.
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Learn the ins and outs to achieve the impossible with 10 Courses and 63.5 hours of training in machine learning. You will learn many programming languages such as Java, Python, Hadoop, MapReduce for AI and data science.
You will also be introduced to statistics and data science in R, deep learning and computer vision plus so much more.
What’s Included in Course
- Quant Trading Using Machine Learning
- Learn By Example: Statistics and Data Science in R
- Learn By Example: Hadoop & MapReduce for Big Data Problems
- Byte Size Chunks: Java Object-Oriented Programming & Design
- An Introduction to Machine Learning & NLP in Python
- Byte-Sized-Chunks: Twitter Sentiment Analysis (in Python)
- Byte-Sized-Chunks: Decision Trees and Random Forests
- An Introduction To Deep Learning & Computer Vision
- Byte-Sized-Chunks: Recommendation Systems
- From 0 to 1: Learn Python Programming
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