Javeria Saif

  What is an Influence Diagram? An Influence Diagram is a compact, graphical way to look at the factors involved in making a decision. Influence diagrams show how the decisions, variables at work, and desired outcomes relate to one another, which is useful for making it easy to see the main factors involved and how each factor impacts the others. Influence diagrams can be created before a meeting, or drawn on-the-fly to illustrate the ideas under discussion. The diagram is reviewed and refined in the meeting, then used to help inform the decision-making discussion that happens during the meeting.

  Employability in universities education: Employability👉🏻 refers to a graduate's ability to gain and maintain meaningful employment in their chosen field, and to contribute effectively to their organization or industry. In university education, employability refers to the acquisition of knowledge, skills, and attributes that enable graduates to enter the job market with confidence and competence. Employability 👉🏻 skills are those that employers value and seek in potential employees, such as critical thinking, problem-solving, communication, teamwork, leadership, adaptability, and digital literacy. Universities aim to equip their students with these skills through a variety of academic and extracurricular activities, including internships, work placements, industry projects, and skills workshops. Universities also collaborate with employers and industry partners to ensure that their curricula are relevant to the needs of the job market and that graduates are prepared for the ...

Professional Networking : Professional networking refers to the act of building and maintaining relationships with individuals and groups in a specific industry or profession for the purpose of expanding knowledge, sharing information, and establishing business connections.  This can include attending industry events, joining professional organizations, connecting with colleagues on social media platforms, and engaging in informational interviews with professionals in a particular field. The goal of professional networking is to create a mutually beneficial network of contacts that can provide support, advice, and opportunities for career advancement. Example of professional neural networking: One example of professional neural networking is in the field of computer vision. Neural networks can be used to train computer models to recognize objects in images or videos, and they have become essential in many applications such as facial recognition, object detection, and autonomous dr...

  NeuralNetworking: Neural Networking refers to the process of creating and maintaining connections between individuals, groups, or organizations for the purpose of exchanging information, resources, and opportunities. It can refer to both personal and professional relationships and can occur both in-person and online. Networking often involves building relationships with people in similar industries, fields of study, or areas of interest, with the goal of expanding one's social or professional circle, learning new skills or knowledge, finding job opportunities, or collaborating on projects. Effective networking requires good communication skills, the ability to establish trust and build rapport, and a willingness to help others in order to receive help in return. Importance of neural networking: Neural networking is important for several reasons: Ability to learn from data : Neural networks are capable of learning from large amounts of data, identifying patterns and relationships ...

  Networking : Networking refers to the process of creating and maintaining connections between individuals, groups, or organizations for the purpose of exchanging information, resources, and opportunities. It can refer to both personal and professional relationships and can occur both in-person and online. Networking often involves building relationships with people in similar industries, fields of study, or areas of interest, with the goal of expanding one's social or professional circle, learning new skills or knowledge, finding job opportunities, or collaborating on projects. Effective networking requires good communication skills, the ability to establish trust and build rapport, and a willingness to help others in order to receive help in return. Importance of networking: Networking is important for a variety of reasons, including: Career opportunities :  Networking can provide access to job opportunities, whether it's through direct referrals, introductions to hiring ma...

Business Analytics skills : Skills of business analytics: Business analytics is the practice of using data, statistical and quantitative analysis, and predictive modeling to gain insights and make informed decisions in a business context. The skills required for business analytics can vary depending on the specific job, industry, and organization, but here are some of the key skills that are commonly required: Data analysis : The ability to manipulate and analyze large amounts of data using tools such as Excel, SQL, and statistical software. Statistical analysis : A strong understanding of statistical methods and their applications, including regression analysis, hypothesis testing, and data visualization. Business acumentation : An understanding of how businesses operate and the ability to identify key performance indicators (KPIs) and business metrics. Communication skills : The ability to communicate complex data insights to non-technical stakeholders in a clear and concise manner. ...

  Data vs Business Analytics : Comparison of data analytics and business analytics: Data analytics and business analytics are both important in their own ways for organizations to make data-driven decisions. However, there are some differences between the two. Data analytics is focused on analyzing and interpreting large volumes of data to discover insights and patterns that can help organizations make better decisions. It involves using various statistical and analytical techniques to extract insights from data, including predictive modeling, data mining, and machine learning. Data analytics is primarily concerned with the technical aspects of analyzing data. On the other hand, business analytics is focused on using data analytics to solve business problems and drive business performance. It involves using data and analytics to gain insights into business operations, customer behavior, and market trends, in order to optimize business processes and make informed decisions. Business...

  Portfolio Optimization: The process of selecting the best portfolio (asset distribution) from every asset beneath evaluation in a portfolio is called as portfolio optimization. The purpose typically optimizes aspects like expected return while minimising expenditures like financial risk. Both intangible and tangible factors also are taken into account, comprising assets, liabilities, earnings, and other fundamentals (such as selective divestment). Portfolio theory: Harry Markowitz first introduced modern portfolio theory in his Doctoral thesis in 1952; for any further details, see Markowitz model. It is based on the concept that a portfolio's returns should be optimized for any particular risk level. Investors are obliged to pick between risk and expected return for portfolios that fulfill this condition, known as optimal portfolio, because attaining a larger expected return requires taking on more risk. The efficient frontier is a curve that information . in addition the risk-...