{"product_id":"machine-learning-python-course-programmer-to-architect","title":"Machine Learning With PYTHON – ML Programmer To ML Architect","description":"\u003cp data-mce-fragment=\"1\"\u003eMachine Learning Architects interpret real-time analysis of data to automate and increase efficiency across all business domains, setting the stage for meaningful AI that moves from reactive to predictive. This Journey will guide you in the transition from becoming an ML Programmer to an ML\/DL Architect Master through mechanisms such as computational theory.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eThis learning path, with more than 100 hours of online content, is divided into the following four tracks:\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eML Track 1: Machine Learning Programmer\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eML Track 2: Deep Learning Programmer\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eML Track 3: Machine Learning Engineer\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eML Track 4: Machine Learning Architect\u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eTrack 1: Machine Learning Programmer\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eIn this track of the machine learning journey, the focus is linear regression, computational theory, and training sets.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eContent:\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eE-learning courses\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eNLP for ML with Python\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eLinear Algebra and Probability\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eLinear Regression Models\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eComputational Theory\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eModel Management\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eBayesian Methods\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eReinforcement Learning\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eMath for Data Science \u0026amp; Machine Learning\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eBuilding ML Training Sets\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eLinear Models \u0026amp; Gradient Descent\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eOnline Mentor\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eYou can reach your Mentor 24\/7 by entering chats or submitting an email.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eFinal Exam assessment\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eEstimated duration: 90 minutes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003ePractice Labs: \u003c\/strong\u003e\u003cstrong data-mce-fragment=\"1\"\u003eMachine Learning Programming with Python \u003c\/strong\u003e(estimated duration: 8 hours)\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePerform ML programming tasks with Python, such as splitting data and standardizing data, and classification using nearest neighbors and ridge regression. Then, test your skills by answering assessment questions after performing principal component analysis, visualizing correlations, training a naive Bayes model and a support vector machine model. This lab provides access to several tools commonly used in ML, including:\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eMicrosoft Excel 2016, Visual Studio Code, Anaconda, Jupyter Notebook + JupyterHub, Pandas, NumPy, SiPy, Seaborn Library, Spyder IDE\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003e\u003c\/strong\u003e\u003cstrong data-mce-fragment=\"1\"\u003eTrack 2: Deep Learning Programmer\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eIn this track of the machine learning journey, the focus is neural networks, CNNs, RNNs, and ML algorithms.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eContent:\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eE-learning courses\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eGetting Started with Neural Networks\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eBuilding Neural Networks\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eTraining Neural Networks\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eImproving Neural Networks\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eConvNets\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eConvolutional Neural Networks\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eConvo Nets for Visual Recognition\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eFundamentals of Sequence Model\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eBuild \u0026amp; Train RNNs\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eML Algorithms\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003e\u003c\/strong\u003e\u003cstrong data-mce-fragment=\"1\"\u003eOnline Mentor\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eYou can reach your Mentor 24\/7 by entering chats or submitting an email.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eFinal Exam assessment\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eEstimated duration: 90 minutes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003ePractice Labs: Deep Learning Programming with Python \u003c\/strong\u003e(estimated duration: 8 hours)\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePerform DL programming tasks with Python, such as performing series expansion and calculus, and work with TensorFlow and scikit-image. Then, test your skills by answering assessment questions after loading a data set for hierarchical clustering and k-means clustering, and train a model using random forests and gradient boosting.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003e\u003c\/strong\u003e\u003cstrong data-mce-fragment=\"1\"\u003eTrack 3: Machine Learning Engineer\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eIn this track of the machine learning journey, the focus is predictive modeling and analytics, ml modeling, and ml architecting.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eContent:\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eE-learning collections\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePredictive Modeling\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePlanning AI Implementation\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eML\/DL in the Enterprise\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eEnterprise Services\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eArchitecting Balance\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eEnterprise Architecture\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eRefactoring ML\/DL Algorithms\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eOnline Mentor\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eYou can reach your Mentor 24\/7 by entering chats or submitting an email.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eFinal Exam assessment\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eEstimated duration: 90 minutes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003ePractice Labs: Architecting ML\/DL Apps with Python \u003c\/strong\u003e(estimated duration: 8 hours)\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePerform architecting tasks such as binning data, imputing values, performing cross validation, and evaluating a classification model. Then, test your skills by answering assessment questions after validating a model, tuning parameters, refactoring a machine learning model, and saving and loading models using Python.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eTrack 4: Machine Learning Architect\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eIn this track of the machine learning journey, the focus is applied predictive modeling, CNNs and RNNs, and ML algorithms.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eContent:\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eE-learning collections \u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eApplied Predictive Modeling\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eImplementing Deep Learning\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eApplied Deep Learning\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eAdvanced Reinforcement Learning\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eML\/DL Best Practices\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eResearch Topics in ML and DL\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003eDeep Learning with Keras\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eOnline Mentor\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eYou can reach your Mentor 24\/7 by entering chats or submitting an email.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eFinal Exam assessment\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003eEstimated duration: 90 minutes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003ePractice Labs: Architecting Advanced ML\/DL Apps with Python \u003c\/strong\u003e(estimated duration: 8 hours)\u003c\/p\u003e\n\u003cul data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003ePerform advanced ML\/DL app architecture tasks using Python, such as loading a data set to train a simple multilayer perceptron (MLP), a Convolutional Neural Network (CNN) and an LSTM model. Then, test your skills by answering assessment questions after performing image and text classification using CNN.\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"DiviTrain.com","offers":[{"title":"Default Title","offer_id":39259772616790,"sku":"","price":1072.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0280\/0350\/0118\/files\/21.png?v=1743543918","url":"https:\/\/www.divitrain.com\/nl\/products\/machine-learning-python-course-programmer-to-architect","provider":"DiviTrain.com","version":"1.0","type":"link"}