Get yourself trained on Python Data Science with this Online Training Python Data Science and Machine Learning Bootcamp with Keras.
Online Training Python Data Science and Machine Learning Bootcamp with Keras
A data science masterclass for beginners! This epic course covers Python, Java, TensorFlow and data visualization.Funded by a #1 Kickstarter Project by Mammoth Interactive28 hours on-demand videoOffline Access via the Udemy App!16 Articles12 Downloadable ResourcesFull Lifetime AccessBuild Amazing Python Projects with Mammoth Interactive!First you will install PyCharm2017 and explore the interface. You will learn crucialPython 3.6 language fundamentals. Even if you have coding knowledge, going back to the basics is the key to success as a programmer. You will build and run Python projects.You will install Android Studio 3and explore the interface. You will learn how to add a simulator and build simple User Interfaces (UIs) by coding in Java FROM SCRATCH! You will buildand run Android projects directly in this course. You will create solid examples to apply your knowledge immediately.Use Machine Learning and Algorithms for AppsYou will discover applications of machine learning and where we use machine learning daily. You will explore different machine learning mechanisms and commonly used algorithms. You will learn how to install TensorFlow 1.4 and access its libraries through PyCharm. You’llunderstandthe basic components of TensorFlow.Build Data Models and Recognition Projects!You’ll learn how to build a linear regression model to fit a line through data. You’ll learn to train and test the model, evaluate model accuracy, and predict values using the model.Build a facial recognition projectBuild a happy/sad face detection projectBuild a simple digit recognition project using the MNIST handwritten digit databaseHandwritten digit recognition with advanced MNISTBuild a simple linear regression model in PyCharm with TensorFlowBuild a simple image recognition project using the CIFAR-10 libraryImage recognition with CIFAR-100And much more!Then we’ll get started with Keras, which we’ll compare with TensorFlow to make it easier to understand. You’ll learn where and how to use Keras. Build Sophisticated Projects for Your PortfolioWith Python Data Science and Machine Learning Bootcamp with Keras, you will be able to add all of these technologies to your resume, LinkedIn profile, or personal website.You will train models, export them to Android Studio, and build apps around each model. You will also make more complex and sophisticated projects for recognizing handwritten digits and images from datasets.Discover the Keras library Explore PyCharm and the Python language Explore Android Studio and the Java language Discover machine learning concepts Explore TensorFlow, a machine learning framework An In Depth Look at Matplotlib’s Rich Features!You will then learn how to use the amazing Python plotting library Matplotlib. You will take your Python knowledge and apply it to Matplotlib.Do you want to learn how to visualize data? Enroll in this Mammoth Interactive course to learn how to do so directly in code.Create basic line and scatter plots with Matplotlib 1.5.Customise our graphs with visuals, a title, labels, text and a legend.Recognize types of visualization: histograms, pie charts, and box and whisker plots.Make candlestick plots.Understand figures and subplots.Perform in-depth customization of plot structureUnderstand basic 3D plotting.You will learn many amazing features of Matplotlib for data visualization. You learn how to customize the visuals of your graph and to add text and annotate graphs. And much more!Enroll Now While On Sale
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As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.
And I get it: If my bank account pays me 1% a year, I can measure it to the penny. We’ve been collectively trained to expect neat and precise ROI calculations on everything, so when it’s applied to something as seemingly squishy as how effectively people are learning in the workplace, the natural inclination is to throw up our hands and say it can’t be done. But we need to figure this out. In a world where skills beat capital, the winners and losers of the next 30 years will be determined by their ability to attract and develop great talent.
Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.