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The Big Challenge in Machine Learning:
Machine Learning (ML) is one of the hottest buzz words these days and has some really fancy applications across industries. However, there is a significant impedance in the acceptance of ML models in regulated industries, mainly financial services and pharma. This is primarily driven by the lack of adequate explainability of ML models, both from the top leadership and the regulatory perspective.
BlackRock (the world’s largest asset manager with ~6.5 trillion dollars asset under management) spent multi-million dollars to develop really powerful neural-network-based liquidity models that significantly outperformed the traditional liquidity models. The firm, however, had to shelve those as the developers weren’t able to satisfactorily explain their working to the top leadership.
ML explainability is an area of research that is gaining a lot of traction. The key objective herein is to make the ML models more transparent, fair, ethical, and accountable, and thus more acceptable.
For those interested in exploring this high-demand area, I’ve attached a paper that I read a year back. Thought to share as it provides a nice overview of ML explainability and is good enough to give a jump-start on the topic. www.mlinstitute.org
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Machine Learning Science is an exclusive learning module for working with big data from
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As for instance, for worldwide success, Amazon uses the technologies enhanced through
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Keyword: Machine Learning Science
Machine learning classes are typically meant for gaining proficiencies in technology of
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The machine learning classes are meant to train the students in terms of implementing
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The machine learning classes offers multiple learning programs to the students. These
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Machine learning classes equips the students to improve a computer in terms of predicting
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Purpose of increasing popularity of machine learned provision, is directly related to its
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For an in-depth realisation, you can think of a situation where you are capable of guessing
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generates. It is this capability that a machine learned model can predict in an
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For the optimisation of performance in a machine, machine learned facilities offer two
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The approach of enhanced machine learned model is to lead a combined adaptation of
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Exam Schedule for the June 2019 CQF Program Below :
Exam Released Submission Deadline Weighting
Exam 1 15th August 2019 29th August 2019 20%
Exam 2 17th September 2019 01 October 2019 20%
Exam 3 05 November 2019 19th November 2019 20%
Final Project 18 November 2019 13th January 2020 40%
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Exam Schedule for the June 2019 CQF Program Below :
Exam Released Submission Deadline Weighting
Exam 1 15th August 2019 29th August 2019 20%
Exam 2 17th September 2019 01 October 2019 20%
Exam 3 05 November 2019 19th November 2019 20%
Final Project 18 November 2019 13th January 2020 40%
Machine Learning Institute Certificate (MLI) courses in Artificial Intelligence (AI) are
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The students are trained to be world-class professionals by offering an amalgamation of
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MLI is offering the best artificial intelligence courses at the graduation level. The courses
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gets scheduled twice every academic year. Students get the facilities of attaining live
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Students can continue with their work and can enrol for these best artificial intelligence
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The practitioners are highly experienced in the domain of AI. At MLI, they are constantly
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the constant mentoring and personalised support from the practitioners that make AI
courses of MLI, the best artificial intelligence courses that one can ever opt for. The idea
at MLI is to gain the professionally trained certificate and gets recognised in the
international platform. These courses are absolutely about acquisition of knowledge and
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Thus, if you are seeking for best artificial intelligence courses, then the only answer is
Machine Learning Institute Certificate courses in Artificial Intelligence.
Keyword: Best Artificial Intelligence Courses
The approach of machine learning is possible only when the student gets accessibility to learn
through Scikit-Learn, & essence of deep learning through TensorFlow,Keras, and Theano.
All these facilities are made available through online global Deep Learning courses at
Machine Learning Institute Certificate (MLI).
At MLI, the Deep Learning courses are structured to meet the expected impressive
developments in the domain of performing art on a very large scale use of applications in
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MLI offers Deep Learning courses by developing the student from the state transitioning
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The focus of the assignments in the Deep Learning courses at MLI, are driven practically.
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the Deep Learning courses of MLI.
All the Deep Learning courses at MLI, are categorically distributed for better understanding
of the students. Initially these courses lay emphasis over motivational approaches for
machine learning. This gets initiated by deep learning through practical on Neural Networks,
which is further followed by the advanced module of Generative Neural Networks. With
extensive lab session and availability of al the advanced tools, MLI equips the students to
face all kinds of hurdles related to the field of data handling.
It is only at MLI that Deep Learning courses are framed in accordance to increasing
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students.
Keyword: Deep Learning Courses
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The Machine Learning Institute Certificate in Finance
Be part of the future of quantitative finance
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Quantitative finance is moving into a new era. Traditional quant skills are no longer adequate to deal with the latest challenges in finance. The Machine Learning Institute Certificate offers candidates the chance to upgrade their skill set by combining academic rigour with practical industry insight.
The Machine Learning Institute Certificate in Finance (MLI) is a comprehensive six-month part-time course, with weekly live lectures in London or globally online. The MLI is comprised of 2 levels, 6 modules, 25 lecture weeks, lab assignments, a practical final project and a final sit down examination using our global network of examination centres.
This course has been designed to empower individuals who work in or are seeking a career in machine learning in finance. Throughout our unique MLI programme, candidates work with hands-on assignments designed to illustrate the algorithms studied and to experience first-hand the practical challenges involved in the design and successful implementation of machine learning models. The MLI is a career-enhancing professional qualification, that can be taken worldwide.
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The next cohort is October 2019 and followed by April 2020.
Quantitative finance is moving into a new era. Traditional quant skills are no longer adequate to deal with the latest challenges in finance. The Machine Learning Institute Certificate offers candidates the chance to upgrade their skill set by combining academic rigour with practical industry insight.
The Machine Learning Institute Certificate in Finance (MLI) is a comprehensive six-month part-time course, with weekly live lectures in London or globally online. The MLI is comprised of 2 levels, 6 modules, 25 lecture weeks, lab assignments, a practical final project and a final sit down examination using our global network of examination centres. The updated MLI certificate now includes 25 lecture weeks, our new Partnership with NAG Numerical NAG (Numerical Algorithms Group), additional practical lab sessions, an extended module 1 on Supervised Learning, new topic updates on Cloud Computing, Natural Language Processing, Practicalities of Neural Networks: CNN, Advanced Practicalities of Neural Networks: Generative NN, and a new full module on Times Series by Microsoft.
This course has been designed to empower individuals who work in or are seeking a career in machine learning in finance. Throughout our unique MLI programme, candidates work with hands-on assignments designed to illustrate the algorithms studied and to experience first-hand the practical challenges involved in the design and successful implementation of machine learning models. The MLI is a career-enhancing professional qualification, that can be taken worldwide.
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Machine learning course
Under the domain of Artificial intelligence, Machine Learning Institute (MLI) is offering
high-edged Machine Learning Course. On a global deep learning provision, this course will
make the candidates capable of handling computers through the mode of self-learning. The
candidates will be able to handle highly complicated data analyses, without using explicit
programming. The idea is to remove any kind of chaotic assessments in the process of
analysing finance and data.
Machine Learning Course by MLI aims in generating technological intelligence in the
candidates, for managing quick and automatic calculations related to huge data content. At
MLI, the experts understand the significance of increasing availability of data from various
sources. It has been also realised that the huge data are directly connected to the higher level
difficulties in assessment. The Machine Learning Course at MLI is the solution to such
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Accumulations and calculations of heterogeneous sets of data from banking and financial
institutions demand critical process of evaluations. The entire labyrinth of such data needs
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clients. Moreover, the candidates will get the opportunity to attain multifaceted skills to excel
in this domain of Artificial Intelligence.
Keyword: Machine learning course
Machine Learning in finance
The efforts at MLI remains focussed in resolving the limited ways of handling statistical
analyses under traditional statistics. The advanced Machine Learning in finance has been
designed to restrict any kind of inaccurate and unreliable results from the analytical
proceedings. With emphasis over the financial domain, MLI develops its candidates with the
capability to offer absolute information to the clients.
Machine Learning in finance at MLI aims to offer conceptual understanding about every
fundamental aspects of financial calculations. The candidates are trained in terms of handling
the daily challenges of the industry for financial services. MLI hence, lays importance to the
stability of practical implications of diversified advanced tools and upgraded applications. By
implementing technological support to the industry of finance, MLI’s course of Machine
Learning in finance equips the candidates in offering guidelines for business profitability.
The candidates also gain expertise in revealing the kind of competition that a business might
be facing. The candidates also get efficient in meeting the competitive edges of regulating
financial policies and norms as per respective demographic location of the firm or business.
Machine Learning in finance at MLI, makes the candidates capable of assessing relevant
price, credit quality, and contracts related to insurance. This learning provision is also
focused in making the candidate efficient enough to use automated interactive sessions with
the clients, especially for fast authentic solutions. Adaptation of the techniques of Machine
Learning in finance makes the candidate capable of assessing trading positions of the client,
and thereby follow right way for generating profits.
Keywords: Machine Learning finance
Machine Learning in quantitative finance
In order to gain greater assessment capability over classical kinds of statistical derivations,
the Machine Learning Institute (MLI) offers Machine Learning in quantitative finance.
Based on advanced technological applications and methodological tools, MLI brings in such
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evaluating processes.
In the financial sector, the course on Machine Learning in quantitative finance is a boon for
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The basic financial assessments are related to the basics of initiating quantitative mode of
business and trading. Through Machine Learning in quantitative finance, the candidates will
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Adequate professional knowledge will offer understandings of international executions of
trading and assessment amidst financial fluctuations. Expertise in handling trading issues by
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gain relevant hold over multi-asset trading and predictions related to upcoming financial
challenges.
Development of regulatory compliance and improvement of dealings in the insurance
contracts, are integral part of Machine Learning in quantitative finance, at MLI. Through
these provisions, MLI aims to create professional experts with innovative thinking and
solutions for international financial arena. Thus, with its Machine Learning in quantitative
finance, MLI is creating the platform for the faces of future financial advisors.
Keywords: Machine Learning quantitative finance
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Highly focussed and professionally upgraded machine learning training from Machine
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Machine learning training at MLI is a unique opportunity to gain hold over key technical
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MLI is professionally organised to give skills in the process of analyzing data for time series
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meeting future challenges in the respective profession. The candidates are trained with
planning of various operations in different professional domains. They are further nurtured
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education and finance.
Since, MLI is more concerned about the meeting current challenges and possible hurdles in
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Keeping pace with advanced technological concepts, is the forte of Machine Learning
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It is offering Machine Learning Certification in the domains of Quantitative Finance, Model
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The basics of Machine Learning Certification concentrate in empowering the candidates in
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MLI Machine Learning Certification offers six month part time global online education
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With higher rates of positive reviews and responses, the MLI Machine Learning Certification
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Machine Learning Certification from MLI is meant for enhancing careers and attain scopes in
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