Mastering Machine Learning with Python
The Python ecosystem is growing and may become the dominant platform for machine learning. The primary rationale for adopting Python for machine learning is because it is a general purpose programming language that we can use both for R&D and in production. In this talk I will discuss 1. Python and its rising use for machine learning, 2. SciPy and the functionality it provides with NumPy, Matplotlib and Pandas. 3. scikit-learn for machine learning algorithms, TensorFlow and Keras for Deep learning and PyTorch for Natural Language Processing, 4. How to setup your Python ecosystem for machine learning and what versions to use. At the end I will also give case studies on using this Python ecosystem for biomedical applications.
This talk will be of general in nature. Those who are witnessing the recent AI hype should be able to follow my talk. Basic python knowledge is assumed.
Parthiban Srinivasan is the CEO of VINGYANI, a data science company deals with Informatics 2.0, that is, Deep learning, Natural Language Processing and Machine Learning for Drug Discovery and Health. Parthiban Srinivasan is an experienced data scientist, earned his PhD from Indian Institute of Science, specializing in Computational Chemistry. He holds dual Masters Degree- one in Science and the other in Engineering. After his PhD, he continued the research at NASA Ames Research Center (USA) and Weizmann Institute of Science (Israel). Then he worked at AstraZeneca in the area of Computer Aided Drug Design for Tuberculosis. Later, he headed informatics business units in Jubilant Biosys and then in GvkBio before he floated the company, Parthys Reverse Informatics. Now his recent venture is VINGYANI.
http://www.haxel.com/icic/2010/speakers/p_srinivasan-parthiban http://www.haxel.com/ii-sdv/speakers/srinivasan-parthiban http://haxel.com/ii-pic/2017/Programme/thursday-02-11-2017#Artificial-Intelligence-Machine-Learning-And-Deep-Neural-Networks-What-Does-All-Of-This-Have-To-Do-With-Patent-Analytics