Ciencia de los datos y aprendizaje de la máquina con Python - Hands On!

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Ciencia de los datos y aprendizaje de la máquina con Python – Hands On!. convertirse en un científico de datos en la industria de la tecnología! Minería de datos y la máquina de aprendizaje integral de golf con Python y Spark.

120,00  120,00 

No te pierdas este fabuloso curso online llamado Ciencia de los datos y aprendizaje de la máquina con Python – Hands On!. Es 100% online y comenzarás justo en el momento de matricularte. Tú serás el que marques tu propio ritmo de aprendizaje.

Breve descripción del curso llamado Ciencia de los datos y aprendizaje de la máquina con Python – Hands On!

convertirse en un científico de datos en la industria de la tecnología! Minería de datos y la máquina de aprendizaje integral de golf con Python y Spark.

El profesor de este fabuloso curso 100% online es Frank Kane, un auténtico experto en la materia, y con el que aprenderás todo lo necesario para ser más competitivo. El curso se ofrece en Inglés.

Descripción completa del curso llamado Ciencia de los datos y aprendizaje de la máquina con Python – Hands On!

Course Description Data Scientists enjoy one of the top-paying jobs, with an average salary of $120,000 according to Glassdoor and Indeed. That’s just the average! And it’s not just about money – it’s interesting work too! If you’ve got some programming or scripting experience, this course will teach you the techniques used by real data scientists in the tech industry – and prepare you for a move into this hot career path. This comprehensive course includes 68 lectures spanning almost 9 hours of video, and most topics include hands-on Python code examples you can use for reference and for practice. I’ll draw on my 9 years of experience at Amazon and IMDb to guide you through what matters, and what doesn’t. The topics in this course come from an analysis of real requirements in data scientist job listings from the biggest tech employers. We’ll cover the machine learning and data mining techniques real employers are looking for, including: Regression analysisK-Means ClusteringPrincipal Component AnalysisTrain/Test and cross validationBayesian MethodsDecision Trees and Random ForestsMultivariate RegressionMulti-Level ModelsSupport Vector MachinesReinforcement LearningCollaborative FilteringK-Nearest NeighborBias/Variance TradeoffEnsemble LearningTerm Frequency / Inverse Document FrequencyExperimental Design and A/B Tests …and much more! There’s also an entire section on machine learning with Apache Spark, which lets you scale up these techniques to “big data” analyzed on a computing cluster. If you’re new to Python, don’t worry – the course starts with a crash course. If you’ve done some programming before, you should pick it up quickly. This course shows you how to get set up on Microsoft Windows-based PC’s; the sample code will also run on MacOS or Linux desktop systems, but I can’t provide OS-specific support for them. Each concept is introduced in plain English, avoiding confusing mathematical notation and jargon. It’s then demonstrated using Python code you can experiment with and build upon, along with notes you can keep for future reference. If you’re a programmer looking to switch into an exciting new career track, or a data analyst looking to make the transition into the tech industry – this course will teach you the basic techniques used by real-world industry data scientists. I think you’ll enjoy it!