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A key to own a successful career in Data Science
- Learn how Deep Learning REALLY works (not just some diagrams and magical black box code)
- Learn how a neural network is built from basic building blocks (the neuron)
- Code a neural network from scratch in Python and numpy
- Code a neural network using Google's TensorFlow
- Describe different types of neural networks and the different types of problems they are used for
- Derive the backpropagation rule from first principles
- Create a neural network with an output that has K > 2 classes using softmax
- Describe the various terms related to neural networks, such as "activation", "backpropagation" and "feedforward"
- Understand and implement K-Nearest Neighbors in Python
- Understand the limitations of KNN
- User KNN to solve binary and multiclass classification problems
- Understand and implement Naive Bayes and General Bayes Classifiers in Python
- Understand the limitations of Bayes Classifiers
- Understand and implement a Decision Tree in Python
- Understand and implement the Perceptron in Python
- Understand the limitations of the Perceptron
- Understand hyperparameters and how to apply cross-validation
- Understand the concepts of feature extraction and feature selection
- Understand the pros and cons of classic machine learning methods and deep learning
- Use Sci-Kit Learn
- Implement a machine learning web service
- Create a great data science resume!
- Understand various positions and titles available in the data science ecosystem.
- Get practice with probability and statistics interview questions.
- Build an understanding of good experiment design.
- Get practice with SQL interview questions.
- Programming with R, Python, and SQL
- Understand roles and careers in data science
- Sourcing data
- Data science in math and statistics
- Data science and machine learning
- To understand how these different domains fit together, how they are different, and how to avoid the marketing fluff.
- The Impacts of Machine Learning and Data Science is having on society.
- To really understand computer technology has changed the world, with an appreciation of scale.
- To know what problems Machine Learning can solve, and how the Machine Learning Process works.
- Build predictive models using machine learning algorithms without writing a line of software code
- Machine Learning is the Key to Your High-Earning Future
- Leading companies understand that Machine Learning is the future, and are investing millions of dollars into Machine Learning Research.
- Machine Learning is the subset of Artificial Intelligence (AI) that enables computers to learn and perform tasks they haven't been explicitly programmed to do.