Deep Learning A-Z:

Machine Learning and Reinforcement Learning in Finance

Machine Learning and Reinforcement Learning in Finance

> Fundamentals and basics of Machine Learning in Finance > Reinforcement Learning in Finance > Mathematical framework behind reinforcement learning > Overview of Advanced Methods of Reinforcement Learning in Finance

http://bit.ly/2VXDCw8

Mobile phone usage is on the rise and smartphone lovers are on a constant hunt to buy the best smartphone at a reasonable price

Mobile phone usage is on the rise and smartphone lovers are on a constant hunt to buy the best smartphone at a reasonable price. offerszing is the right platform to save your time! . https://offerszing.com/

Data Science Bootcamp: Pay only after you get a data science job.

Data Science Bootcamp: Pay only after you get a data science job.

> Unlimited 1:1 mentor support > Hands-on experience > Job guarantee

http://bit.ly/2L4aBJC

Metals, Miners and Forex Premium Membership

Metals, Miners and Forex Premium Membership

> Daily and Weekend updates on the following Metals: Gold, Silver, Platinum > Daily and Weekend updates on the following Mining ETFs: GDX/GDXJ, SIL, PPLT > Daily and Weekend updates on the following Currencies: USD, AUSD, YENN and others as/if opportunity arises.

http://bit.ly/2H0soNU

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

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.

Comprehensive Statistics and Data Science with R

Comprehensive Statistics and Data Science with R

> How to use R as a statistical environment following many examples. > How to estimate create and interpret ANOVA, GLM, GAM and regression statistical models with number of examples on each topics. > How to create statistical and other visualizations using both the base and gplot graphics capabilities in R.

http://bit.ly/2MqHq5I

Christians

https://anchor.fm/shmuel-pollen/episodes/Introduction-To-Judaism-For-Gentiles---Part-2-e6di2j

Data Science Bootcamp: Pay only after you get a data science job.

Data Science Bootcamp: Pay only after you get a data science job.

> Unlimited 1:1 mentor support > Hands-on experience > Job guarantee

http://bit.ly/2L4aBJC