Stock Trading

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

Certification in Butterfly Stock Options Strategy

Certification in Butterfly Stock Options Strategy > Get paid upfront for executing options trades > A simple trick to know your odds of success in Options Trading > Use little-known techniques to greatly reduce risk and maximize profits through Options Trading > The best way to structure a trade through Complex Butterfly Options Trading strategy. http://bit.ly/2qXoDRZ

Data Science with R - Best books to become an expert

Data Science with R - Best books to become an expert

http://bit.ly/2On7339

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

Best stock trading

Successful online trading takes more than just opening a trading account with an online stock broker. Stock Trading zing will show you how to make money .www.stocktradingzing.com

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.

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

Advanced Machine Learning

Advanced Machine Learning

> Introduction to Deep Learning > How to Win a Data Science Competition: Learn from Top Kagglers > Bayesian Methods for Machine Learning > Practical Reinforcement Learning > Deep Learning in Computer Vision > Natural Language Processing > Addressing Large Hadron Collider Challenges by Machine Learning

http://bit.ly/2R2ZpjM

IBM Data Science Professional Certificate

IBM Data Science Professional Certificate

> Open Source tools for Data Science > Data Science Methodology > Python for Data Science > Databases and SQL for Data Science

http://bit.ly/2OXUuQI

Introduction to Data Science

Introduction to Data Science

> Programming in R > Probability & Statistics > Exploratory Data Analysis > Data Analysis in Depth

http://bit.ly/2U3O00t