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Meet the Speaker AI & Big Data Expo North America 2018 (November 28 -29 ), California

Meet the Speaker AI & Big Data Expo North America 2018 (November 28 -29 ), California

Nitin Sharma, Distinguished Data Scientist, Paypal

@ai_expo

Book your tickets here: http://bit.ly/2M1qNrZ

Artificial Intelligence Projects with Python-HandsOn

Artificial Intelligence Projects with Python-HandsOn

> Use popular libraries such as Keras and TensorFlow for reinforcement learning > Employ the SpaCy and textacy libraries for natural language processing > Extend pre-trained deep learning models

http://bit.ly/2qmbOQG

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Data Science Career Track Prep Course

Data Science Career Track Prep Course

Learn the foundational coding and statistics skills needed to pass our Data Science Career Track admissions challenge.

> Use Python to complete real-world coding exercises and begin your data science journey > Confidently tackle our Data Science Career Track admissions challenge

http://bit.ly/2Xrb4fk

Big Data Analytics Projects with Apache Spark

> Examine a number of real-world use cases and hands-on code examples

> Explore the Map/Reduce Hadoop and Spark approach for solvinto solveg data analysis problems. > Write programs for complex data analysis and solving to solve real real-world problems

http://bit.ly/2XmIith

Data Science Career Track Prep Course

Data Science Career Track Prep Course

Learn the foundational coding and statistics skills needed to pass our Data Science Career Track admissions challenge.

> Use Python to complete real-world coding exercises and begin your data science journey > Confidently tackle our Data Science Career Track admissions challenge

http://bit.ly/2Xrb4fk

Edge AI Summit | Kisaco Research

Data has gravity. It is well known that the network edge, in the Internet of Things, is where the critical mass of digital data resides, and where it is collected. Scalability bottlenecks to ubiquitous AI, such as power consumption, bandwidth, latency, connectivity and security have led to recent innovations in on-device processing and edge infrastructure such as micro-data centers and distributed computing architecture. The Edge Computing market will reach $34 billion by 2023, growing at 35% annually, unleashing a wave of services and applications at the network edge that can be optimized with artificial intelligence. As a recent explosion in hardware innovation provides the necessary compute to migrate diverse AI workloads to the Edge, a new generation of edge-native and edge-enhanced software applications is emerging. The Edge AI Summit will bring together 200+ key thought-leaders and industrial practitioners to discuss the challenges and opportunities of decentralized, distributed intelligence. Join us to examine use cases of edge-based artificial intelligence applications and explore this new computing paradigm that promises to accelerate and democratize AI adoption across the globe. This event is intended for Senior Director/VP-level attendees and above, and is a high-level networking and business development meeting, with content tracks focusing on both business and technology.

The Edge AI Summit is the first and only conference to focus on the intersection between edge computing and artificial intelligence. Join 200+ of the world's leading players in the IoT, Edge Computing and AI space for a day of insights, knowledge-sharing and workshops for both business and technical professionals alike.

Book by 12th October to save up to $200 with early bird pricing.

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Machine Learning Bootcamp: Become a ML Engineer in 6 months. Job

Machine Learning Bootcamp: Become a ML Engineer in 6 months. Job Guaranteed.

> Master the latest concepts > Build and deploy a large scale application > 1:1 Mentorship

http://bit.ly/2ZBFcCg

Data Science Career Track Prep Course

Data Science Career Track Prep Course

Learn the foundational coding and statistics skills needed to pass our Data Science Career Track admissions challenge.

> Use Python to complete real-world coding exercises and begin your data science journey > Confidently tackle our Data Science Career Track admissions challenge

http://bit.ly/2Xrb4fk

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