Get an introduction to the Google Cloud Platform, and learn how to incorporate cloud-based solutions into business strategies. Learn about Google App Engine, Google Container Engine, Google Compute Engine, Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable, and Google Cloud Datastore.

Simplilearn’s Machine Learning Course will introduce you to the world of Artificial Intelligence and Machine Learning. As part of the Machine Learning Certification training, you will master the concepts of Supervised Learning, Unsupervised Learning, Reinforcement Learning, Support Vector Machines, Kernel SVM, Naive Bayes, Decision tree classifier, Random forest classifier, Logistic regression, K-nearest neighbours, K-means Clustering to prepare you for the role of Machine Learning Engineer.

Become an expert in data analytics, machine learning, and web scraping using Python programming. Gain an in-depth understanding of the various packages in Python like NumPy, SciPy, Pandas, and Scikit-learn for performing data analysis, implementing machine learning models, and NLP. The course includes two real-life industry projects and Jupyter notebooks labs to provide an interactive and hands-on practice. This course is suited for both beginners and experienced professionals.

Artificial Intelligence is the next big thing in the tech field and a staggering number of organizations are adopting AI and the demand for professionals well- versed in AI is increasing at an astonishing rate! Simplilearns’ Introduction to Artificial Intelligence will provide a broad understanding of the basic concepts of Artificial Intelligence to beginners.Don’t get left behind - take Simplilearns’ Introduction to Artificial Intelligence Course today!(Coming Soon)

The course introduces you to the big data & machine learning capabilities of Google Cloud Platform. Learn to use CloudSQL & Cloud Dataproc for migration of workload, master interactive data analysis using BigQuery & Datalab, train & use neural networks using TensorFlow and understand data processing architectures, TaskQueues & DataFlow. The course includes lab exercises on Google Cloud Platform and prepares you for Google certified professional- Data engineer certification.

Machine learning gives you extremely powerful insights into data, and has become so ubiquitous you see it nearly constantly while you browse the internet without even knowing it. Implementations of machine learning are as diverse as recommendation systems to self-driving cars. In this course, you'll be introduced to a unique blend of projects that will teach you what machine learning is all about and how you can use Python to create machine learning projects. Access 26 lectures & 3 hours of content 24/7 Work on six independent projects to help you master machine learning in Python Cover concepts such as classification, regression, clustering, & more Apply various machine learning algorithms Master Python's packages & libraries to facilitate computation Implement your own machine learning models

The functional programming nature and the availability of a REPL environment make Scala particularly well suited for a distributed computing framework like Spark. Using these two technologies in tandem can allow you to effectively analyze and explore data in an interactive environment with extremely fast feedback. This course will teach you how to best combine Spark and Scala, making it perfect for aspiring data analysts and Big Data engineers. Access 51 lectures & 8.5 hours of content 24/7 Use Spark for a variety of analytics & machine learning tasks Understand functional programming constructs in Scala Implement complex algorithms like PageRank & Music Recommendations Work w/ a variety of datasets from airline delays to Twitter, web graphs, & Product Ratings Use the different features & libraries of Spark, like RDDs, Dataframes, Spark SQL, MLlib, Spark Streaming, & GraphX Write code in Scala REPL environments & build Scala applications w/ an IDE

Ready to start building professional, career-boosting mobile apps? We sure hope so. Machine learning is one of the fastest growing fields in tech and many apps are starting to integrate machine learning to add a layer of intelligence. Only the smart will survive. In this comprehensive course, you'll learn how to build apps for the brand new iOS 11 while incorporating machine learning, turning them into smart apps that will interact and learn from users to enhance the user experience. Access 86 lectures & 6.5 hours of content 24/7 Explore the three fundamental branches of applied machine learning: image & video processing, text analysis, & speech & language recognition Learn how to apply machine learning to real projects Perform image recognition in an app by differentiating between people & objects, & classifying flowers Add Siri Voice into your app Find trained machine learning models & make them ready to use in iOS apps Receive in-class support

The Google Cloud Platform is not the most popular cloud offering out there (hello AWS!) but it may be the best cloud offering for high-end machine learning applications. That's because TensorFlow, the extremely popular deep learning technology is also from Google. This comprehensive guide to TensorFlow and the Google Cloud Platform will help put you on certification track to become a Google Data Engineer or Cloud Architect. Access 166 lectures & 22 hours of content 24/7 Cover the material you need to pass Google Data Engineer & Cloud Architect certification exams Explore AppEngine, Kubernetes, & Compute Engine Discuss Big Data & Managed Hadoop w/ Dataproc, Dataflow, BigTable, BigQuery, & more Learn what neural networks & deep learning are, how neurons work, & how neural networks are trained Understand DevOps principles like StackDrive logging, monitoring, & cloud deployment management Discover security, networking, & Hadoop foundations

The Google Cloud Platform is not the most popular cloud offering out there (hello AWS!) but it may be the best cloud offering for high-end machine learning applications. That's because TensorFlow, the extremely popular deep learning technology is also from Google. This comprehensive guide to TensorFlow and the Google Cloud Platform will help put you on certification track to become a Google Data Engineer or Cloud Architect. Access 166 lectures & 22 hours of content 24/7 Cover the material you need to pass Google Data Engineer & Cloud Architect certification exams Explore AppEngine, Kubernetes, & Compute Engine Discuss Big Data & Managed Hadoop w/ Dataproc, Dataflow, BigTable, BigQuery, & more Learn what neural networks & deep learning are, how neurons work, & how neural networks are trained Understand DevOps principles like StackDrive logging, monitoring, & cloud deployment management Discover security, networking, & Hadoop foundations