DATA SCIENCE AND MACHINE LEARNING: BASICS OF R SOFTWARE
10 videos • 190 views • by Prof Madana Mohana R Data science and machine learning are both very popular buzzwords today. These two terms are often thrown around together but should not be mistaken for synonyms. Although data science includes machine learning, it is a vast field with many different tools. Skills Needed for Data Scientists: 1. Statistics 2. Data mining and cleaning 3. Data visualization 4. Unstructured data management techniques 5. Programming languages such as R and Python 6. Understand SQL databases 7. Use big data tools like Hadoop, Hive and Pig Skills Needed for Machine Learning Engineers: 1. Computer science fundamentals 2. Statistical modeling 3. Data evaluation and modeling 4. Understanding and application of algorithms 5. Natural language processing 6. Data architecture design 7. Text representation techniques