machineByte

machineByte delivers education to quant professionals on the latest innovations and developments in ML/AI and alternative data in investment management.

[machineByte @machine_byte]

Visit https://t.co/qaV4FjvLsa to get access to the presentations and the event coverage of our first European conference! Become a member today! #machinelearning #machinebyteparis #AI #DataScience

[machineByte @machine_byte]

We would like to wish everyone in our community happy holidays and a wonderful 2020!

We hope to engage with you all in the New Year! Feel free to connect with us for exciting opportunities!

[machineByte @machine_byte]

Managers are dipping their toes into more advanced algorithms, like neural networks. These techniques are primarily being used to discover new signals, generate trading ideas, construct portfolios and manage risk: https://t.co/cPo5gxVQYJ

[machineByte @machine_byte]

Available now: The White Paper 'ML & Alt Data in Asset Management - This exclusive guide includes case studies on how and why investors are actively applying machine learning and alternative data across asset classes, strategies and markets. Visit https://t.co/cPo5gxVQYJ

[machineByte @machine_byte]

In this episode of soundByte, we speak to David Nabwangu about his decision to found the machine learning-backed credit-risk analysis firm AI-Spark and the challenges of incorporating new technology into CRE. https://t.co/QT0lrHNR2d

[machineByte @machine_byte]

The panel institutions, which together manage over EUR 135 billion, outlined specific data types and machine-learning models they’re using while expressing their frustration with black-box techniques and searching for talent.
https://t.co/ZmYTmLaSmN

[machineByte @machine_byte]

Private equity firms are relying on alternative data and new forms of technology to augment their fundraising, decision making and portfolio management processes, according to panelists at machineByte’s conference in Paris last week.
https://t.co/iSR2RT8ziw

[machineByte @machine_byte]

Dutch pension fund PGGM is researching machine-learning and alternative-data applications to supplement its traditional quant multifactor equity fund. View the full video at https://t.co/k4angDjIIm.

[machineByte @machine_byte]

Though it has yet to integrate the signals into its live portfolios, APG Asset Management is exploring natural language processing techniques to generate #ESG signals, a process it says has generated positive results.

https://t.co/eoYRC8xoNw

[machineByte @machine_byte]

Ahcene Gareche from Chorus joined machineByte Europe to moderate our investor panel.

He is joined on stage by investors from PGGM Investments, AP3, Varma & RPMI Railpen. Session coverage will follow soon on https://t.co/qaV4FjvLsa

[machineByte @machine_byte]

PFA Asset Mng, which manages assets for Copenhagen-based PFA Pension, is dialing up its analysis of #ESG data — including sentiment analysis on news, NGO reports and annual statements — which it purchases from external vendors. Visit https://t.co/qaV4FjvLsa for the full video.

[machineByte @machine_byte]

Our machineByte Europe conference took place this week and in the upcoming weeks we'll be sharing the highlights. So keep an eye on our account! #machinebyteparis #MachineLearning #alternativedata

[machineByte @machine_byte]

Last chance to register for machineByte Paris, deadline 13 Sept! This conference is created to inspire and educate.

You will get the opportunity to explore ML and alt data, receive training in programming languages to get you up to speed and to network with your direct peers.

[machineByte @machine_byte]

Why do investors need to get ready for quantum computing and why it matters? Join us in Paris to listen to Román Orús, Ikerbasque research professor at the Donostia International Physics Center. Visit https://t.co/qaV4FjNmjI for tickets and more info.

[machineByte @machine_byte]

Asset managers are dialing up their interest in quantum ML, hoping it will help them train models with less data, optimize Monte-Carlo simulations and do a better job of predicting the performance of financial markets than classical ML tools.
https://t.co/gGlrQUR6GR

[machineByte @machine_byte]

At machineByte Europe, attendees will also have training on site on applying machine learning in finance using R and Python. The training will show how to perform a dynamic portfolio back test using efficient machine learning tools. Register: https://t.co/JgpLHhIfdu

[machineByte @machine_byte]

The machineByte Paris is only two weeks away! https://t.co/JgpLHhIfdu

The conference features case studies, innovative solutions and interactive training and panels on how ML & alt data is being applied, can be applied and the challenges facing implementation across markets.

[machineByte @machine_byte]

Singapore fintech firm @info_noviscient is looking to change the way investors find alpha via a technology driven platform that helps select and allocate to quality alpha funds.

#machinelearning #MLinfinance

https://t.co/FXIx49WVnB

[machineByte @machine_byte]

OPEN VIEW: machineByte is preparing a white paper report featuring case studies, statistics, challenges and implementation plans on applying machine learning and data science in investment management.
#machinelearning @MLdata

https://t.co/CJB4G0Ip2b

[machineByte @machine_byte]

@ManGroup’s research in machine learning is ranking highest among global institutional investors, with @DEShawGroup and @twosigma following closely behind.
#machinelearning #MLdata

https://t.co/A6mCWRT983