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[20% DISCOUNT] Zero to Deep Learning 5 day Bootcamp - San Francisco
Get tickets at: Discount code: sparktensorflow20 Zero to Deep Learning Bootcamp A 5 day full time training that brings you from Zero to Deep Learning® with Keras and Tensorflow . 5 full days of Knowledge and Skill You’ll get versed in Data Visualization, Machine Learning, and Deep Learning. These are the elements that come together to make driverless cars, to recognize faces, to market products, and to drive big decisions from big data. Why Zero to Deep Learning? If you need to learn the foundations of Machine Learning and Deep Learning comprehensively and quickly, our 5-day Bootcamp is for you. It balances breadth and depth, and delivers you an immersive full-time introduction to cutting-edge ML and DL techniques using Python, Keras and Tensorflow. Who should attend? Software Engineers, Software Engineering Managers, and Data Analysts seeking to upskill in Machine Learning & Deep Learning. Machine Learning with Scikit: • Recognize where to use ML • Select best techniques • Manipulate data with Pandas • Visualize data with Matplotlib • Solve regressions & classifications • Evaluate model performance • Serve models with Flask & Heroku Deep Learning with Keras: • Understand DL fundamentals • Build Fully Connected Neural Networks • Train Convolutional Neural Networks • Design Recurrent Neural Networks • Discover Embeddings • Leverage Dropout & Batch Norm • Use GPUs to train faster Deep Learning with Tensorflow: • Discover why TensorFlow is popular • Turn Keras models into Estimators • Debug models with Eager Execution • Scale to large dataset with Data API • Learn about Core API • Tune performance with Tensorboard • Deploy models using cloud services You will Build: • Predict the price of a house • Detect language of a text • Recognize an object in an image • Classify the sentiment in a sentence • Forecast future energy consumption • Deploy an API that predicts phone location from wifi signal Why attend this Bootcamp • To quickly develop your practical skills in Machine and Deep Learning • You’re stuck with online training and want to develop your practical skills • 5 dedicated days to focus on learning ML and DL • You work in a company where ML and DL is becoming increasingly important, and you need to develop a relevant skill set • You are working in a project, or have an upcoming project which requires ML and DL skills • You are a manager and need a robust understanding of ML and DL to manage your team • Want to access new career opportunities or promotions Lead Instructor Francesco is the author of the Zero to Deep Learning book and founder of Catalit Data Science. He works at the cutting edge of Machine and Deep Learning training. Clients include both startups and Fortune 500s. His experience includes: • Lead Data Science instructor at General Assembly and The Data Incubator • Trainer at conferences including Pybay, ODSC, TDWI, AINext • Chief Data Officer and co-founder at Spire, a YC company that invented the first wearable device tracking breathing • Joint PhD in biophysics at University of Padua and Université de Paris VI What is included in the price? • 5-days in-person training led by Francesco Mosconi, expert ML and DL trainer • Customized hands-on labs developed to maximize your learning • Ability to download your labs at the end of the training • Access to a cloud GPU during the training and for 2-weeks afterwards • Expert advisory on your project between 5-6pm Mon-Thurs of the Bootcamp • Self-directed pre-work program to develop your Python skills (if required) • Live Slack support during the Bootcamp • Membership of the Zero to Deep Learning Slack and Facebook community • One copy of the Zero to Deep Learning book • Breakfast, lunch, all-day refreshments • A really fun 5-days! Prerequisites: 1 year of experience in Python Get tickets at: Discount code: sparktensorflow20

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Spark and Deep Learning Experts digging deep into the internals of Spark Core, Spark SQL, DataFrames, Spark Streaming, MLlib, Graph X, BlinkDB, TensorFlow, Caffe, Theano, OpenDeep, DeepLearning4J, etc.

Deeper than a blog post or typical meetup, we'll explore and discuss the best practices and idioms of the code base across many areas including Spark's JVM Bytecode Generation, CPU-cache-aware Data Structures and Algorithms, Approximations, Probabilistic Data Structures, Shuffle and I/O Optimizations, Streaming Micro-batch Scheduling, Performance Tuning, Configuration, Monitoring, Auto-Scaling, etc.

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