The 3 Biggest Mistakes on Learning Data Science. KDnuggets News, 2019

 

Data science or whatever you want to call it is not just knowing some programming languages, math, and statistics and have “domain knowledge” and here I show you why.

 

I’m going to propose three things:

1. Data science is a science
2. There are awful ways to learn data science
3. Using well created cheatsheets can help you do data science in a systematic way

 

How NOT to Learn Data Science. The big 3.

1. Seeing and seeing without practicing
2. Creating models in a crazy way
3. “Yeah, I’m a lone wolf. I can study and do everything by myself”

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Schools of the Future Defining New Models of Education for the Fourth Industrial Revolution. World economic forum. PDF document.

 

Eight critical characteristics in learning content and experiences have been identified to define high-quality learning in the Fourth Industrial Revolution—“Education 4.0”:

1. Global citizenship skills: Include content that focuses on building awareness about the wider world, sustainability and playing an active role in the global community.
2. Innovation and creativity skills: Include content that fosters skills required for innovation, including complex problem-solving, analytical thinking, creativity and systems analysis.
3. Technology skills: Include content that is based on developing digital skills, including programming, digital responsibility and the use of technology.
4. Interpersonal skills: Include content that focuses on interpersonal emotional intelligence, including empathy, cooperation, negotiation, leadership and social awareness.
5. Personalized and self-paced learning: Move from a system where learning is standardized, to one based on the diverse individual needs of each learner, and flexible enough to enable each learner to progress at their own pace.
6. Accessible and inclusive learning: Move from a system where learning is confined to those with access to school buildings to one in which everyone has access to learning and is therefore inclusive.
7. Problem-based and collaborative learning: Move from process-based to project- and problem-based content delivery, requiring peer collaboration and more closely mirroring the future of work.
8. Lifelong and student-driven learning: Move from a system where learning and skilling decrease over one’s lifespan to one where everyone continuously improves on existing skills and acquires new ones based on their individual needs.

Through a global crowdsourcing campaign, the World Economic Forum identified 16 examples of schools, education programmes and school systems that are paving the way toward Education 4.0, as defined above, based on the uniqueness of their approach, demonstrated impact and geographical diversity. These examples are meant to serve as inspiration for the shift towards a more holistic transformation of education systems globally.

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Kada je nešto loše, algoritmom se ne popravlja

 

Kada je izgledalo da zbog Covid-19  pandemije đaci i studenti ne mogu lično da polažu ispite, u Velikoj Britaniji su pokušali da nađu alternativu za polaganje prijemnog ispita na univerzitete. Nastavnici su već predvideli ocene svojih učenika, ali prethodne studije su pokazale da bi one mogle biti pristrasne na osnovu starosti, pola i etničke pripadnosti. Posle niza stručnih panela i konsultacija, odlučeno je da Kancelarija za regulaciju kvalifikacije i ispita (The Office of Qualifications and Examinations Regulation)  primeni svojevrsni algoritam sa zadatkom da proceni rezultate ispita (ocene) za svakog učenika.

Rezultat: Skoro 40% učenika dobilo je ocene niže u odnosu na predviđanja nastavnika, preteći da će ih to koštati mesta na univerzitetima. Analiza algoritma je takođe otkrila da je negativnu pristrasnot za učenike iz radničkih klasa i zajednica, dok je  naduvao rezultate učenika iz privatnih škola.

16. avgusta, stotine su skandirale „“Fuck the algorithm” ispred zgrade resornog ministarstva (UK’s Department of Education) u znak protesta zbog rezultata.

Sutradan je Kancelarija poništila svoju odluku – „After reflection, we have decided that the best way to

Reakcija – izdvojiću objavu Kraljevskog statističkog društva (The Royal Statistical Society) koje je pozvalo na hitnu reviziju statističkih postupaka koji se koriste u Engleskoj i Škotskoj, a koju bi trebalo da sprovedu stručnjaci njihovog  „zavoda za statistiku“ (UK Statistics Authority).

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Joy Mustafi, Chief Data Scientist of Aviso

Ranked as one of India’s 10 top data scientists by Analytics India Magazine,  Joy Mustafi has led data science research at tech giants including Salesforce, Microsoft, and IBM, winning 50 patents and authoring over 25 publications on AI.

He was associated with IBM for a decade as Data Scientist involved in a variety of business intelligence solutions, including IBM Watson. He worked as Principal Applied Scientist at Microsoft, responsible for AI research. Most recently, Mustafi was the Principal Researcher for Salesforce’s Einstein platform.

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The Top Trending Technologies Making Waves In 2020

The CompTIA Emerging Technology Community has issued its annual list of the top emerging technologies for 2020:

1. Artificial Intelligence
2. 5G Wireless
3. Internet of Things
4. Serverless Computing
5. Biometrics
6. Augmented Reality/Virtual Reality
7. Blockchain
8. Robotics
9. Natural Language Processing
10. Quantum Computing

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Business Analytics or a Data Science Degree?

Većina programa master studija koji se odnose na podatke može se klasifikovati u tri osnovne grupe: Nauka o podacima (Data Science), Analiza podataka (Data Analytics) i Poslovna analitika (Business Analytics). Autori ovog članka izvšili su upoređivanje master studija u oblasti nauke o podacima i poslovne analitike. Za studiju slučaja korišćeni su: UC Berkeley’s Master of Information and Data Science i Master of Science in Business Analytics, University of Tulsa. Prikazani su kurikulumi za oba master programa i analizirane njihove prednosti i nedostaci.

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Explainer: What is deep learning? Deep learning, a technology based on artificial neural networks, has revolutionized artificial intelligence in the space of a few years. But what exactly is it?

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China’s Contemporary Amperex Technology (CATL), Tesla supplier, develops battery with no nickel, cobalt. The new battery type will be different from existing NCA (nickel-cobalt-aluminum), NCM (nickel-cobalt-manganese) and LFP (lithium iron phosphate) batteries and will have no expensive metals like nickel or cobalt. They did not give details of the makeup or the cost of the planned battery type.

CATL is also developing a separate technology to integrate battery cells directly into an EV’s frame to extend its driving range.

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IBM: Disruption is inevitable for today’s global supply chains. The only thing most companies know for certain is that the future is uncertain. But it is possible to manage through complexity and preserve business continuity, while leaning in on cost optimization.

To help you optimize supply chain operations today and be better prepared for tomorrow, we’ve identified five innovations that leading organizations are integrating to change how their supply chains work:

• Intelligent workflows,
• AI,
• IoT,
• Blockchain, and
• Intelligent order management.

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Derisking AI by design: How to build risk management into AI development. McKinsey, August, 2020

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New Algorithm Paves the Way Towards Error-Free Quantum Computing. No one likes noise when they’re working through a difficult problem. Quantum computers are no different, and now researchers have devised a new way to estimate how noise can throw their calculations off, a big step towards making the technology practical.

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10 Powerful YouTube Channels for Data Science Aspirants!

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How six companies are using technology and data to transform themselves. McKinsey, August, 2020

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