Advanced Machine Learning & Data Analysis Projects Bootcamp
What you'll learn
- Code in 3 programming languages: Java, Python and Swift
- Build nodes and data models for linear regression
- Use summarizing mechanisms to handle text data
- Test projects on mobile devices
- Examine computational graphs
- Analyze scalars and histograms
- Build neuron functions
- Load, convert, and display image and digit data
- Describe data with statistics
- And much more...
Requirements
- PyCharm
Description
"Excellent! Thank you for all your hard work." - Mammoth Interactive student Inderpal
"Great! Well explained and the instructor provides clear examples" - Mark T.
Dive into a world of data science and analysis with a wide range of examples including the CIFAR 100 image dataset, Xcode development for Apple, Swift coding, CoreML, image recognition, and structuring data with pandas.
This Mammoth Interactive course was funded by a #1 project on Kickstarter
Learn Android Studio, Java, app development, Pycharm, Python coding, Tensforflow and more with Mammoth Interactive.
Build advanced projects using machine learning including advanced the MNIST database with neuron functions. Build a text summarizer and learn object localization, object recognition and Tensorboard.
Machine learning is a machine’s ability to make decisions or predictions based on previous exposure to data and extensive training. In other words, if a machine (program, app, etc.) improves its prediction accuracy through training then it has “learned”.
Learn How Models Work
Computational graphs consist of a network of connected nodes (often called neurons). Each of these nodes typically has a weight and a bias that helps determine, given an input, which path is the most likely.
There are 4 main components to building a machine learning program: data gathering and formatting, model building, training, and testing and evaluating
Data Gathering and Formatting
You will learn to gather plenty of data for the model to learn from.
All data should be formatted pretty much the same (images same size, same color scheme, etc.) and should be labelled. Also divide data into mutually exclusive training and testing sets.
Model Building
You will learn to figure out which kind of model scheme works best and what kinds of algorithms work best for the problem you’re trying to solve.
Training, Testing and Evaluating
The model can choose paths through the neural network or computational graph based upon the inputs for a particular run, as well as the weights and biases of neurons in the network.
In supervised learning, we show the model what the correct outputs are for a given set of inputs and the model alters the weights and biases of neurons to minimize the difference between its output and the correct answer.
Enroll Now to Learn with Mammoth Interactive
Who this course is for:
- Topics involve intermediate math, so familiarity with university-level math is very helpful
Course content
- Preview02:25
- 00:02Project Resources - Mammoth Interactive
Instructors
![Mammoth Interactive](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.2 Instructor Rating
- 12,196 Reviews
- 290,801 Students
- 263 Courses
"I absolutely love this course. This is such a comprehensive course that was well worth the money I spent and a lot more. Will definitely be looking at more Mammoth Interactive courses when I finish this." – Student Matt W.
"Very good at explaining the basics then building to more complex features." – Student Kevin L.
Mammoth Interactive has been contracted to produce epic soundtracks, addicting levels, rock solid programming and business development.
- 4.3 Instructor Rating
- 21,380 Reviews
- 427,601 Students
- 291 Courses
John Bura is has been a successful Udemy instructor since 2011. John Bura has been programming games since 1997 and teaching since 2002. John is the owner of the game development studio Mammoth Interactive. This company produces XBOX 360, iPhone, iPad, android, HTML 5, ad-games and more. Mammoth Interactive recently sold a game to Nickelodeon! John has been contracted by many different companies to provide game design, audio, programming, level design and project management. To this day John has 40 commercial games that he has contributed to. Several of the games he has produced have risen to the top 10 in the Apple's app store. In his spare time John likes to play ultimate Frisbee, cycle and work out.