Saturday, December 28, 2019

Jobs in the Emerging Field of Machine Learning

Jobs in the Emerging Field of Machine LearningJobs in the Emerging Field of Machine LearningAt the top ofLinkedIns 2017 US Emerging Jobs Reportwere two occupations in the Machine Learning field Machine Learning Engineer and Data Scientist. Employment for machine learning engineers grew by 9.8 times between 2012 and 2017 and data scientist jobs increased 6.5 times during the same five year period. If the trend continues, these occupations will have employment outlooks that surpass many others occupations.With a future so bright, could a job in this field be right for you? What Is Machine Learning? Machine learning (ML) is just what it sounds like. This technology involves teaching machines to perform specific tasks. Unlike traditional coding that provides instructions that tell computers what to do, ML provides them with data that lets them figure it out on their own, much like a human being or animal would do.Sounds like magic, but it isnt. It involves the interaction of computer scientists and others with related expertise. These IT professionals create programs called algorithms- sets of rules that solve a problem- and then feed them large sets of data that teach them to make predictions based on this information. Machine learningis asubset of artificial intelligence that enables computers to perform tasks they havent been explicitly programmed to do(Dickson, Ben. Skills You Need to Land a Machine Learning Job. It Career Finder. January 18, 2017.) It has gotten more complicated, yet more commonplace, over the years. Steven Levy,in an article that speaks to Googles prioritization of machine learning and retraining of the companys engineers,writes, For many years, machine learning was considered a specialty, limited to an elite few. That era is over, as recent results indicate that machine learning, powered by neural nets that emulate the way a biological brain operates, is the true path towards imbuing computers with the powers of humans, and in some case s, super humans (Levy, Steven. How Google is Remaking Itself As a Machine Learning First Company Wired. June 22, 2016). How is machine learning used in the real world? Most of us come across this technologyon a daily basis without giving it much thought. When you use Google or another search engine, the results that come up at the top of the page are the result of machine learning. The predictive text, as well as the sometimes maligned autocorrect feature, on your smart phones texting app, are also a result of machine learning. Recommended movies and songs on Netflix and Spotify are further examples of how we use this rapidly growing technology while barely noticing it. More recently, Google introduced Smart Reply in Gmail. At the end of a message, it presents a nutzer with three possible replies based on the content. Uber and other companies are currently testing self-driving cars. Industries Using Machine Learning The use of machine learning reaches far beyond the tech world. SAS, an analytical software company, reports that many industries have adopted this technology. The financial services industry uses ML toidentify investment opportunities, let investors know when to trade, recognize whichclients have high-risk profiles, and detect fraud.In health care, algorithms help diagnose illnesses by picking up abnormalities. Have you ever asked the question, why is an ad for that product Im thinking of buying showing up on every web page I visit? ML allows the marketing and sales industry to analyze consumers based on their buying and search histories. The transportation industrys adaptation of this technology detects potential problems on routes and helps make them more efficient. Thanks to ML, the oil and gas industry can identify new energy sources(Machine Learning What It Is and Why It Matters.SAS). How Machine Learning Is Changing the Workplace Predictions about machines taking over all our jobs have been around for decades, but will ML finally mak e that a reality? Experts forecast this technology has and will continue to alter the workplace. But as far as taking away all our jobs? Most experts dont think that will happen. While machine learning cant take the place of human beings in all occupations, it could change many of the job duties associated with them. Tasks that involve making quick decisions based on data are a good fit for ML programs not so if the decision depends on long chains of reasoning, diverse background knowledge or common sense says Byron Spice. Spice is Director of Media Relations at Carnegie Mellon Universitys School of Computer Science (Spice, Byron. Machine Learning Will Change Jobs. Carnegie Mellon University. December 21, 2017). In Science Magazine, Erik Brynjolfsson and Tom Mitchell write, labor demand is more likely to fall for tasks that are close substitutes for capabilities of ML, whereas it is more likely to increase for tasks that are complements for these systems. Each time an ML system cro sses the threshold where it becomes more cost-effective than humans on a task, profit-maximizing entrepreneurs and managers will increasingly seek to substitute machines for people. This can have effects throughout the economy, boosting productivity, lowering prices, shifting labor demand, and restructuring industries (Brynjolfsson, Erik and Mitchell, Tom. What Can Machine Learning Do? Workforce Implications. Science. December 22, 2017). Do You Want a Career inMachine Learning? Careers in machine learning require expertise in computer science, statistics, and math. Many people come to this field with a background in those fields. Many colleges that offer a major in machine learning take a multi-disciplinary approach with a curriculum that includes, in addition to computer science, electrical and computer engineering, math, and statistics (Top 16 Schools for Machine Learning. AdmissionTable.com). For those who are already involved in the Information Technology Industry, the tran sition to an ML job isnt a far leap. You may already have many of the skills you need. Your employer may even helpyou make this transition. According to Steven Levys article, currently there arent a lot of people who are experts in ML so companies like Google and Facebook are retraining engineers whose expertise lies in traditional coding. While many of the skills you developed as an IT professional will transfer to machine learning, it may be a bit challenging. Hopefully, you stayed awake during your college statistics classes because ML relies on a strong grasp of that subject, as well as math. Levy writes that coders have to be willing to give up the total control they have over programming a system. You are not out of luck if your tech employer isnt providing the ML retraining Google and Facebook are. Colleges and Universities, as well as online learning platforms like Udemyand Coursera, offer classes that teach the basics of machine learning. It is crucial, however, to round ou t your expertise by taking stats and math classes. Job Titles and Earnings The primary job titles you will come across when looking for a job in this field include machine learning engineer and data scientist. Machine learningengineers run the operations of a machine learning project and are responsible for managing the infrastructure and data pipelines needed to bring code to production. Data scientists are on the data and analysis side of developing algorithms, rather than the coding side. They also collect, clean, and prepare data(Zhou, Adelyn. Artificial Intelligence Job Titles What Is a Machine Learning Engineer? Forbes. November 27, 2017). Based on user submissions from people working in these jobs, Glassdoor.com reports that ML engineers and data scientists earn an average base salary of $120,931. Salaries range from a low of $87,000 to a high of $158,000 (Machine Learning Engineer Salaries. Glassdoor.com. March 1, 2018).Although Glassdoor groups these titles, there are s ome differences between them. Requirements for the Machine Learning Jobs ML engineers and data scientists do different jobs, but there is a lot of overlap between them. Job announcements for both positions often have similar requirements. Many employers prefer bachelors, masters, or doctoral degrees in computer science or engineering, statistics, or mathematics. To be a machine learning professional, you will need a combination of technical skills- skills learned in school or on the job- and soft skills. Soft skills are ones abilities that they do not learn in the classroom, but instead are born with or acquire through life experience. Again, there is a great deal of overlap between the required skills for ML engineers and data scientists. Job announcements reveal that those working in ML engineering jobs should be familiar with machine learning frameworks like TensorFlow, Mlib, H20 and Theano. They need a strong background in coding including experience with programming languag es such as Java or C/C and scripting languages such as Perl or Python. Expertise in statistics and experience using statistical software packages to analyze large sets of data are also among the specifications. A variety of soft skills will allow you to succeed in this field. Among them are flexibility, adaptability, and perseverance. Developing an algorithm requires a lot of trial and error, and therefore, patience. One must test an algorithm to see if it works and, if not, develop a new one. Excellent communication skills are essential. Machine learning professionals, who often work on teams, need superior listening, speaking, and interpersonal skills to collaborate with others, and must also present their findings to their colleagues. They should, in addition, be active learners who can incorporate new information into their work. In an industry where innovation is valued, one must be creative to excel.

Monday, December 23, 2019

Top Jobs for Drivers Now Hiring

Top Jobs for Drivers Now HiringTop Jobs for Drivers Now HiringProfessional drivers are in demand across the country. According to recent Simply Hired data, there are nearly 355,520 open positions for drivers, which constitutes about 7.5 percent of all open jobs.Whether your cargo is products or people if you love to drive, consider these occupations Truck driversThere are a variety of jobs available for truck drivers, some involve local runs, while others require longer hauls some require experience while others are willing to train. If you have the skills and ambition to work as a trucker, the industry wants you. So shop around and find the fit thats right for you. Number of available jobs 298,000Average salary $42,000Search Truck Driver JobsTaxi drivers and chauffeursTaxi Driver jobs have increased by 11 percent over last years figures, largely due to rideshare networks Uber and Lyft. This is plentiful and flexible work that is especially in demand. Number of available jobs 10,000A verage salary $29,000Search Taxi Driver Jobs and Chauffeur JobsDelivery service driversDelivery drivers bring convenience and are in high demand. Join the legion of drivers who enjoy bonuses and extended holiday hours. Number of available jobs 7,000Average salary $29,000Search Deliver tafelgeschirr Driver JobsForklift operator Professionals trained to operate forklifts are always in demand. Standard and extended hours are available as are day and night shifts. Number of available jobs 3,500Average salary $27,000Search Forklift Operator JobsBus driver There is a wide pay range for bus drivers those in larger cities are likely to earn more. Unlike other driving jobs, bus drivers can command a routine schedule as they run their regular routes. This makes it a good fit for parents juggling the demands of family life. Number of Available jobs 2,500Average salary $29,000Search Bus Driver JobsDrivers keep the economy movingThe American economy depends upon professional drivers. If you have the skills it takes to work in this capacity, its the perfect time to find your dream job.

Wednesday, December 18, 2019

Annual Book Publishing Events Calendar

Annual Book Publishing Events CalendarAnnual Book Publishing Events CalendarHere are some of the key conferences and events- for publishers, booksellers, authors, the reading public, or all- in the cycle of the book publishing industrys year January American Library Association Midwinter Meeting, aka Midwinter ALAThe prestigious Newbery Medal recognizing the distinguished contribution to childrens literature and the Caldecott Medal recognizing the distinguished contribution to childrens illustration are awarded at this event each Year.Digital Book WorldThe conference was initiated to address the radically changing commercial publishing environment. It offers educational and networking resources for those involved in all facets of the book publishing- that is, content- industry. Society of Childrens Book Writers and Illustrators (SCBWI) Annual Winter ConferenceThe first of two international, annual conferences, brings together the childrens publishing world, from top professionals to those just starting out writing and illustrating childrens book- for networking and skill-building opportunities. February Valentines Day in-store promotions are keeping everyone warm. March Bologna Childrens Book FairFocused on the childrens book trade, Bologna is the rights place for childrens content.National Book Critics Circle (NBCC) AwardsThis organization of book critics bestows book awards for excellence, as well as prizes for contributions to the criticism and literary field.Virginia Festival of the BookHeld near Charlottesville, five days and hundreds of authors. March/April The International Association of Culinary Professionals Annual ConferenceAt the IACP conference gala banquet, the winners of the annual IACP Cookbook Awards are announced. April Pulitzer Prize for Letters (announced)These coveted prizes are given to American authors and include those specifically for books in several categories.London Book FairA global marketplace for rights negotia tion and the ausverkauf and distribution of content across print, audio, TV, film and digital channels.Day of the Book, World Book and Copyright Day, and World Book NightApril 23- a day of literary significance- is a worldwide day (and night) of book and reading celebrations.Los Angeles Times Festival of BooksCreated to promote literature and celebrate the written word, the festival draws between 130,000 and 140,000 book lovers each year. April/May Mystery Writers of Americas Edgar AwardsRecognize achievements in the literary genre of mystery and crime. May The James Beard Foundation Book, Broadcast Journalism Awards DinnerThe dinner is held to announce the annual James Beard Foundation Book Awards, as well as the Broadcast Journalism Awards.The Man Booker International Prize Sister to theMan Booker Prize, the international award alsobrings with it prestige, a lot of cash and, traditionally, a big sales bump.Nebula Awards WeekendThe Nebula Awards are among those presented each year by the Science Fiction and Fantasy Writers of America (SFWA) during their annual May Nebula Awards Weekend. May/June Bookseller Expo America (BEA)The U.S.-based, industry-only international event helps showcase and sell forthcoming books and their subsidiary rights.American Library Association (ALA) Annual Conference ExhibitionWith more than 25,000 librarians, educators, authors, publishers, literacy experts, illustrators and library suppliers in attendance, ALA is the worlds largest event for the library community. July Romance Writers of America (RWA) Annual ConferenceGives the robust and passionate RWA membership the opportunity to network and build their career skills.Summer Reading Promotions boost book sales during peak vacation months. August Society of Childrens Book Writers and Illustrators (SCBWI) Annual Summer ConferenceBrings together the childrens publishing world, from top professionals to those just starting out writing and illustrating childr ens book- for networking and skill-building opportunities. September Regional Association Book ShowsThe numerous regional independent bookseller associations host industry trade shows in September and October. These industry-focused shows are designed to showcase local publishers and local authorial talent and to help drive sales of regional books.Baltimore Book FestivalSponsored by the City of Baltimore and the Maryland State Arts Council, this festival is a lively mix of events for the public.Brooklyn Book FestivalSet in the epicenter of book publishing in the U.S., the Brooklyn Book Festival is the largest free literary event in New York City. National Book FestivalHeld on the National Mall in Washington, D.C. the festival is organized by the Library of Congress and the National Endowment for the Arts. October Frankfurt Book FairThis annual German book fair has a 500-year history and attracts a quarter of a 1000000 global book industry professionals and visitors each year .Jewish Book Month / Jewish Book FairsJewish Book Month, sponsored by the Jewish Book Council is celebrated the month after Hanukkah, so the date varies from year to year. With the goal of promoting Jewish books and Judaica, many Jewish Book Fairs are hosted during this time period at schools and other venues.The Man Booker PrizeBritain/Irelands highly prestigiousMan Booker Prizebrings with it a lot of cash and, traditionally, a big sales bump. Louisiana Book FairBaton Rouge-based, this festival features a day of writing instruction for would-be authors.Texas Book FestivalWas established by former First Lady Laura Bush and honors Texas authors. November The Miami Book Fair InternationalThe nations finest literary festival is notable for its amount of literary talent, a lively street fair, and the wealth of Latin American and Spanish Authors.National Book AwardsPrestigious literary prizes from writers to writers.Jewish Book MonthTaking place in the month before Hanukkah, Jewish B ook Month marks a timeframe when many local organizations holdJewish Book Fairs and celebrate the written word. December Thanks to holiday gift-buying, December is peak sales month for most booksellers.

Saturday, December 14, 2019

Customize this Outstanding Student Example Resume

Customize this Outstanding Student Example ResumeCustomize this Outstanding Student Example ResumeSample Student ResumeCreate Resume OBJECTIVE Seeking a full time position in the area of design and development of analog/RF/microwave integrated circuit design in wireless communication industry.EDUCATION NC STATE UNIVERSITY, MSEE, Graduated 05//2008 GPA 3.56 / 4.00NC STATE UNIVERSITY, BSEE, Graduated 05/2005 PROFESSIONAL EXPERIENCERF Engineer, RFHIC Corp, Cary, NC, 01/2008 09/2008 Designed various CATV broadband amplifiers using GaAs E-pHEMT, D-pHEMT technologies. Evaluated and verified PDK for device technologies in Design Workshops and Agilent ADS. Implemented DRC codes for GaAs foundries and processes technologies. Gained tapeout experience in GaAs and GaNtechnologies.Engineer Intern MITEQ, Inc., Hauppauge, NY, 05/2007 08/2007 Performed Wide-band Amplifier leiter noise measurement and analysis from S to K band. Circuit/EM simulation on spiral inductor design and development in FE M integration. Collaborated with senior project engineer on Ku band Front End Module noise analysis.Design Engineer Intern Analog Devices, Greensboro, NC, 06/2006 12/2006 Participated with designer in ESD protection testing on HDMI analog interface for SCR behavior analysis. Designed simulated sinusoidal phase interpolator in ADICE/Cadence at 0.18um CMOS process. Implemented LabVIEW interface between DEPL evaluation software Python. Supported test engineer with product development using Automatic Test Equipment.Design Engineer Intern RF Micro Devices, Greensboro, NC, 08/2005 12/2005 Assisted senior RF engineers in building, simulating, tuning, and testing both low high band power Amplifier with pHEMT process for WLAN/ WiMax application in network analyzer, spectrum analyzer, and noise figure analyzer. Collaborated with senior RF engineer in developing, simulating, and designing GaAs passive filter for FEM in WLAN. Documented and delivered test and design results for weekly grou p meeting presentation.RF Test Engineer Intern SAMSys Technologies Inc, Durham, NC, 05/2005 08/2005 Performed testing of RFID readers tags in anechoic chamber at different distances power levels. Analyzed and investigated test results, and prepare statistical analysis for product development. Assisted RF SW engineers in debug process / fix implementation. Supported developing product testing strategies and production test solutions. Reviewed/Submitted test and data analysis documentation for documentation release.Electrical Design Technician, North Carolina State University, ECE/CSC Department, 05/ 2005 06/2005 Performed detailed circuit design for RF wake-up device using ADS in time frequency domain. Data measurements with network analyzer for on-going research project. Modified and evaluated electronic parts, components or integrated circuitry. Evaluated and implemented new design processes required to support engineering PCB design requirements.Teaching Assistant under Dr. Bilbro, North Carolina State University, ECE Dept, 08/2004 12/2004 Arranged weekly help sessions to ensure students have the best understanding from each lecture during the semester. Worked closely with students to design, analyze, and simulate CMOS ICs and a basic operational amplifier in PSpice. Assisted Professor in determining each students difficulties and provided necessary help.RELEVANT COURSESMicrowave Transistors PrincipleRFIC for Wireless Comm.Analog IC DesignElectromagnetic FieldsPhotonics Optical CommunicationsMicrowave EngineeringAnalog Electronics EngineeringSolid-State DevicesMicroelectronicsElectric Power SystemsCommunication EngineeringTransmission Lines and Antennas for WirelessEmbedded Systems DesignDigital Logic DesignOrganization of MicroprocessorsLinear SystemsRELEVANT PROJECTS Designed, built, a supply modulated Class D amplifier in EDGE using GaAs HBT technology Fall 2007 Designed a 35GHz Class-A pHEMT Power Amplifier using HBT GaAs technology in ADS Fall 2 007 Designed a 2-stage 35GHz LNA using pHEMT GaAs technology in ADS Fall 2007 Designed a 2.5V-Supply 5GHz receiver system using 0.18um CMOS technology Spring 2007 Designed a CMOS fully Differential Operational Amplifier Using 0.18um technology in Cadence Fall 2006 Designed, built, and tested of a high efficiency PA at 5.8GHz (Senior Design Project) Spring 2005SKILLS Agilent ADS, ADICE, Cadence, Design Workshops, Microwave Office, SpectreRF, HFSS, Hspice, RFCS, Pspice/OrCad, C/C++, Java, LabVIEW, LC2, Matlab, Maple, SolidWorks, MS Windows Applications Hands-on experiences with pulse generator, spectrum analyzer, network analyzer, phase-noise analyzer, and power meter.ACTIVITIESIEEE-MTT-S, ACM, Student Association of Hong KongPresentation Speaker (San-Chau Wong) Global Education Globalization ECC at Edgecombe Community College, March 30th 2006Customize Resume

Monday, December 9, 2019

Why Everybody Is Talking About How to Write a Professional Resume...The Simple Truth Revealed

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Wednesday, December 4, 2019

Warning Signs on Best Resume Writing Services in Australia You Should Know About

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