Confidently take your data mining and machine learning skills to your work
The world is emitting data at an enormous rate. There is a need for professionals who can confidently work with data and output meaningful insight. Data Science is a rewarding career field that allows you to solve some of the world's most interesting problems. This Learning Path will give you hands-on experience with popular Python data mining and machine learning algorithms. First, we'll expand your knowledge base by covering basic to advanced concepts of Python. Then, we'll give you hands-on experience with the popular Python data mining algorithms. Going forward, we'll learn how to perform various machine learning tasks in the real world. Finally, we'll dive into the future of data science and implement intelligent systems using deep learning with Python.
About the Author:
Daniel Arbuckle holds a Doctorate in Computer Science from the University of Southern California, where he specialized in robotics and was a member of the nanotechnology lab. He now has more than ten years behind him as a consultant, during which time he’s been using Python to help an assortment of businesses, from clothing manufacturers to crowd sourcing platforms. Python has been his primary development language since he was in High School. He’s also an award-winning teacher of programming and computer science.
Saimadhu Polamuri is a data science educator and the founder of Data Aspirant, a Data Science portal for beginners. He has 3 years of experience in data mining and 5 years of experience in Python. He is also interested in big data technologies such as Hadoop, Pig, and Spark. He has a good command of the R programming language and Matlab. He has a rudimentary understanding of Cpp Computer vision library (opencv) and big data technologies.
Prateek Joshi is an artificial intelligence researcher, an author of several books, and a TEDx speaker. He has been featured in Forbes 30 Under 30, CNBC, TechCrunch, Silicon Valley Business Journal, and many more publications. He is the founder of Pluto AI, a venture funded Silicon Valley start-up building an intelligence platform for water facilities. He graduated from the University of Southern California with a Master's degree specializing in Artificial Intelligence. He has previously worked at NVIDIA and Microsoft Research.
Eder Santana is a PhD candidate on Electrical and Computer Engineering. His thesis topic is on Deep and Recurrent neural networks. After working for 3 years with Kernel Machines (SVMs, Information Theoretic Learning, and so on), Eder moved to the field of deep learning 2.5 years ago, when he started learning Theano, Caffe, and other machine learning frameworks. Now, Eder contributes to Keras: Deep Learning Library for Python. Besides deep learning, he also likes data visualization and teaching machine learning, either on online forums or as a teacher assistant.